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Phylogenomics and the evolution of hemipteroid insects

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Abstract

Hemipteroid insects (Paraneoptera), with over 10% of all known insect diversity, are a major component of terrestrial and aquatic ecosystems. Previous phylogenetic analyses have not consistently resolved the relationships among major hemipteroid lineages. We provide maximum likelihood-based phylogenomic analyses of a taxonomically comprehensive dataset comprising sequences of 2,395 single-copy, protein-coding genes for 193 samples of hemi-pteroid insects and outgroups. These analyses yield a well-supported phylogeny for hemipteroid insects. Monophyly of each of the three hemipteroid orders (Psocodea, Thysanoptera, and Hemiptera) is strongly supported, as are most relationships among suborders and families. Thysanoptera (thrips) is strongly supported as sister to Hemiptera. However, as in a recent large-scale analysis sampling all insect orders, trees from our data matrices support Psocodea (bark lice and parasitic lice) as the sister group to the holometabolous insects (those with complete metamorphosis). In contrast, four-cluster likelihood mapping of these data does not support this result. A molecular dating analysis using 23 fossil calibration points suggests hemipteroid insects began diversifying before the Carboniferous, over 365 million years ago. We also explore implications for understanding the timing of diversification , the evolution of morphological traits, and the evolution of mitochondrial genome organization. These results provide a phy-logenetic framework for future studies of the group. phylogeny | systematics | transcriptomes | Hemiptera | Psocodea T he hemipteroid insect orders, Psocodea (bark lice and parasitic lice), Thysanoptera (thrips), and Hemiptera (true bugs and allies; i.e., hemipterans), with over 120,000 described species, comprise well over 10% of known insect diversity. However, the evolutionary relationships among the major lineages of these insects are not yet resolved. Recent phylogenomic analyses questioned the monophyly of this group (1) demanding a reconsideration of the evolution of hemipteroid and holometabolous insects. We assess these prior results, which placed Psocodea as the sister taxon to Holometabola (insects with complete metamorphosis; e.g., wasps, flies, beetles, butterflies), and uncover relationships within and among hemipteroid insect orders by analyzing a large phylogenomic dataset covering all major lineages of hemipteroid insects. Knowledge of the phylogeny of these insects is important for several reasons. First, major transitions between the mandibulate (chewing) mouthpart insect groundplan and "piercing-sucking" mouthparts occurred in this group. In particular, thrips and hemipterans, and some ectoparasite lice in Psocodea, have highly modified mouthparts adapted for feeding on fluids and, hence, differ markedly from their mandibulate ancestors. Through a series of remarkable modifications, hemipteroids acquired a piercing-sucking mode of feeding in both immature and adult stages that enabled them to feed not only on plant vascular fluids, but also on blood and other liquid diets. Resolution of the evolutionary tree of hemipteroid insects is needed to provide a framework for Significance Hemipteroid insects constitute a major fraction of insect diversity, comprising three orders and over 120,000 described species. We used a comprehensive sample of the diversity of this group involving 193 genome-scale datasets and sequences from 2,395 genes to uncover the evolutionary tree for these insects and provide a timescale for their diversification. Our results indicated that thrips (Thysanoptera) are the closest living relatives of true bugs and allies (Hemiptera) and that these insects started diversifying before the Carboniferous period, over 365 million years ago. The evolutionary tree from this research provides a backbone framework for future studies of this important group of insects.
Phylogenomics and the evolution of
hemipteroid insects
Kevin P. Johnson
a,1
, Christopher H. Dietrich
a
, Frank Friedrich
b
, Rolf G. Beutel
c
, Benjamin Wipfler
c,d
, Ralph S. Peters
d
,
Julie M. Allen
a,e
, Malte Petersen
f
, Alexander Donath
f
, Kimberly K. O. Walden
g
, Alexey M. Kozlov
h
, Lars Podsiadlowski
f,i
,
Christoph Mayer
f
, Karen Meusemann
f,j,k
, Alexandros Vasilikopoulos
f
, Robert M. Waterhouse
l
, Stephen L. Cameron
m
,
Christiane Weirauch
n
, Daniel R. Swanson
a
, Diana M. Percy
o,p
, Nate B. Hardy
q
, Irene Terry
r
, Shanlin Liu
s
, Xin Zhou
t
,
Bernhard Misof
f
, Hugh M. Robertson
g
, and Kazunori Yoshizawa
u
a
Illinois Natural History Survey, Prairie Research Institute, University of Illinois at UrbanaChampaign, Champaign, IL 61820;
b
Institut für Zoologie,
Universität Hamburg, 20146 Hamburg, Germany;
c
Institut für Zoologie und Evolutionsforschung, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany;
d
Center of Taxonomy and Evolutionary Research, Arthropoda Department, Zoological Research Museum Alexander Koenig, 53113 Bonn, Germany;
e
Department of Biology, University of Nevada, Reno, NV 89557;
f
Center for Molecular Biodiversity Research, Zoological Research Museum Alexander
Koenig, 53113 Bonn, Germany;
g
Department of Entomology, University of Illinois at UrbanaChampaign, Urbana, IL 61801;
h
Scientific Computing Group,
Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany;
i
Institute of Evolutionary Biology and Ecology, University of Bonn, 53121 Bonn,
Germany;
j
Evolutionary Biology and Ecology, Institute for Biology I (Zoology), University of Freiburg, 79104 Freiburg, Germany;
k
Australian National Insect
Collection, Commonwealth Scientific and Industrial Research Organisation National Research Collections Australia, Acton, ACT 2601 Canberra, Australia;
l
Department of Ecology and Evolution, University of Lausanne and Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland;
m
Department of
Entomology, Purdue University, West Lafayette, IN 47907;
n
Department of Entomology, University of California, Riverside, CA 92521;
o
Department of Life
Sciences, Natural History Museum, London, SW7 5BD United Kingdom;
p
Department of Botany, University of British Columbia, Vancouver V6T 1Z4, Canada;
q
Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849;
r
School of Biological Sciences, University of Utah, Salt Lake City,
UT 84112;
s
BGI-Shenzhen, Shenzhen, 518083 Guangdong Province, Peoples Republic of China;
t
Department of Entomology, China Agricultural University,
100193 Beijing, Peoples Republic of China; and
u
Systematic Entomology, Hokkaido University, Sapporo, 060-8589 Japan
Edited by David M. Hillis, The University of Texas at Austin, Austin, TX, and approved October 25, 2018 (received for review September 13, 2018)
Hemipteroid insects (Paraneoptera), with over 10% of all known
insect diversity, are a major component of terrestrial and aquatic
ecosystems. Previous phylogenetic analyses have not consistently
resolved the relationships among major hemipteroid lineages. We
provide maximum likelihood-based phylogenomic analyses of a
taxonomically comprehensive dataset comprising sequences of
2,395 single-copy, protein-coding genes for 193 samples of hemi-
pteroid insects and outgroups. These analyses yield a well-supported
phylogeny for hemipteroid insects. Monophyly of each of the three
hemipteroid orders (Psocodea, Thysanoptera, and Hemiptera) is
strongly supported, as are most relationships among suborders
and families. Thysanoptera (thrips) is strongly supported as sister
to Hemiptera. However, as in a recent large-scale analysis sam-
pling all insect orders, trees from our data matrices support
Psocodea (bark lice and parasitic lice) as the sister group to the
holometabolous insects (those with complete metamorphosis). In
contrast, four-cluster likelihood mapping of these data does not
support this result. A molecular dating analysis using 23 fossil
calibration points suggests hemipteroid insects began diversify-
ing before the Carboniferous, over 365 million years ago. We also
explore implications for understanding the timing of diversifica-
tion, the evolution of morphological traits, and the evolution of
mitochondrial genome organization. These results provide a phy-
logenetic framework for future studies of the group.
phylogeny
|
systematics
|
transcriptomes
|
Hemiptera
|
Psocodea
The hemipteroid insect orders, Psocodea (bark lice and para-
sitic lice), Thysanoptera (thrips), and Hemiptera (true bugs and
allies; i.e., hemipterans), with over 120,000 described species,
comprise well over 10% of known insect diversity. However, the
evolutionary relationships among the major lineages of these insects
are not yet resolved. Recent phylogenomic analyses questioned the
monophyly of this group (1) demanding a reconsideration of the
evolution of hemipteroid and holometabolous insects. We assess
these prior results, which placed Psocodea as the sister taxon to
Holometabola (insects with complete metamorphosis; e.g., wasps,
flies, beetles, butterflies), and uncover relationships within and
among hemipteroid insect orders by analyzing a large phylogenomic
dataset covering all major lineages of hemipteroid insects.
Knowledge of the phylogeny of these insects is important for
several reasons. First, major transitions between the mandibulate
(chewing) mouthpart insect groundplan and piercingsucking
mouthparts occurred in this group. In particular, thrips and
hemipterans, and some ectoparasite lice in Psocodea, have highly
modified mouthparts adapted for feeding on fluids and, hence,
differ markedly from their mandibulate ancestors. Through a series
of remarkable modifications, hemipteroids acquired a piercing
sucking mode of feeding in both immature and adult stages that
enabled them to feed not only on plant vascular fluids, but also
on blood and other liquid diets. Resolution of the evolutionary
tree of hemipteroid insects is needed to provide a framework for
Significance
Hemipteroid insects constitute a major fraction of insect diversity,
comprising three orders and over 120,000 described species. We
used a comprehensive sample of the diversity of this group
involving 193 genome-scale datasets and sequences from 2,395
genes to uncover the evolutionary tree for these insects and pro-
vide a timescale for their diversification. Our results indicated that
thrips (Thysanoptera) are the closest living relatives of true bugs
and allies (Hemiptera) and that these insects started diversifying
before the Carboniferous period, over 365 million years ago. The
evolutionary tree from this research provides a backbone frame-
work for future studies of this important group of insects.
Author contributions: K.P.J., C.H.D., F.F., R.G.B., B.W., R.S.P., K.M., X.Z., B.M., H.M.R., and
K.Y. designed research; K.P.J., C.H.D., R.G.B., B.W., R.S.P., J.M.A., M.P., A.D., K.K.O.W.,
A.M.K., L.P., C.M., K. M., A.V., R.M.W., S.L. , X.Z., and K.Y. performed re search; K.P.J.,
C.H.D., F.F., B.W., R.S.P., K.M., C.W., D.R.S., D.M.P., N.B.H., I.T., and K.Y. contributed new
reagents/analytic tools; K.P.J., C.H.D., R.G.B., B.W., R.S.P., J.M.A., M.P., A.D., K.K.O.W.,
A.M.K., L.P., C.M., K.M., A.V., R.M.W., and K.Y. analyzed data; and K.P.J., C.H.D., F.F.,
R.G.B., B.W., R.S.P., J.M.A., M.P., A.D., K.K.O.W., A.M.K., L.P., C.M., K.M., A.V., R.M.W.,
S.L.C., C.W., D.R.S., D.M.P., N.B.H., I.T., S.L., X.Z., B.M., H.M.R., and K.Y. wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
Published under the PNAS license.
Data deposition: Thedata reported inthis paper have beendeposited in NCBI(accession nos.
SRA SRR1821891SRR1821980,SRR2051465SRR2051515,andSRR921611SRR921660). Gene
sets, alignments,trees, quartet likelihood mapping results, morphologicaldata matrices, and
dating analyses results were deposited in Dryad repository, 10.5061/dryad.t4f4g85.
1
To whom correspondence should be addressed. Email: kpjohnso@illinois.edu.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.
1073/pnas.1815820115/-/DCSupplemental.
www.pnas.org/cgi/doi/10.1073/pnas.1815820115 PNAS Latest Articles
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EVOLUTION
understanding morphological transitions that occurred in this group, as
well as to provide a timeframe over which these changes occurred.
In addition, several lineages of hemipteroid insects (particularly
thrips and Psocodea) underwent major reorganizations of their
mitochondrial genomes, including the emergence of minicircles
(2). Understanding how these changes in mitochondrial genome
organization occurred requires knowledge of evolutionary rela-
tionships to document in which lineages these changes first arose.
Finally, hemipteroids are among the most abundant insects (3) and
are therefore key components of terrestrial and aquatic food webs
(4). Thus, a robust backbone phylogenetic framework is needed to
place ecological studies in their evolutionary context and for use in
comparative genomic and macroevolutionary analyses.
Despite their importance, relatively few studies have addressed
the relationships among the major groups of hemipteroid insects
[Paraneoptera, sensu stricto (excluding Zoraptera), also termed
Acercaria]. While a recent large transcriptome-based phyloge-
nomic analysis of insects (1) provided a well-resolved and strongly
supported phylogenetic framework for the insect orders in gen-
eral, it did not sample intensively within individual orders and
recovered some unexpected relationships. Among the most puz-
zling was the nonmonophyly of the hemipteroid insects, with
Psocodea as the sister taxon of holometabolous insects rather than
as sister to thrips plus hemipterans (Condylognatha). Although
this result was congruent with one earlier analysis based on three
nuclear protein-coding genes (5), it had not been proposed in
other molecular phylogenetic or morphological studies. Previous
morphological studies indicated monophyly of hemipteroid insects
with Psocodea sister to thrips plus hemipterans (69), or some-
times a group comprising thrips plus Psocodea (10, 11).
Another unexpected relationship recovered by Misof et al. (1)
was the placement of moss bugs (Coleorrhyncha) as sister to a
group comprising leafhoppers, cicadas, and relatives (Auchenor-
rhyncha) instead of sister to true bugs (Heteroptera). A recent
morphological study also found some support for moss bugs sister
to Auchenorrhyncha (12). In contrast, prior analyses based on
morphology (e.g., ref. 9) and DNA sequence data (e.g., ref. 13)
consistently placed moss bugs as sister to true bugs. An analysis of
a reduced gene set from transcriptome data (14) also recovered
moss bugs as sister to true bugs, while the full gene set placed moss
bugs as sister to Auchenorrhyncha. Analysis of mitochondrial
genomes (15) produced an even more unconventional result, with
moss bugs placed as the sister taxon of planthoppers (Fulgor-
oidea), making Auchenorrhyncha paraphyletic. Thus, it is impor-
tant to investigate the placement of moss bugs in more detail with
both expanded taxon and gene sampling.
We evaluated these possible conflicts among analyses by an-
alyzing a more comprehensive dataset comprising an increased
number of clusters of orthologous sequence groups (2,395
protein-coding, single-copy genes) as well as an increased taxon
sample within hemipteroid insects: 160 samples vs. 22 sampled
by Misof et al. (1). We included representatives of all major
hemipteroid lineages (sub- and infraorders). Outgroups com-
prised 33 species of holometabolous and nonholometabolous
insect orders. This dataset enabled us to test the hypothesis of
nonmonophyly of hemipteroid insects and also provides a more
detailed backbone framework for the hemipteroid phylogeny.
We evaluate the implications of this phylogeny for understanding
the evolution of feeding strategy, morphology, and mitochon-
drial genome organization of this major group of insects.
Results
Phylogeny of Hemipteroid Insect Orders. Separate amino acid se-
quence alignments of the 2,395 single-copy genes across 193 ter-
minal taxa (SI Appendix,TablesS1S4) yielded a concatenated
supermatrix of 859,518 aligned amino acid positions, which was
used in subsequent phylogenetic analyses. A concatenated nucleo-
tide sequence supermatrix of only first and second codon positions
resulted in 1.72 million aligned nucleotide sequence sites. Tree
reconstructions based on the nucleotide sequence data supported a
phylogenetic tree (Fig. 1 and SI Appendix,Figs.S1andS2)with172/
190 (90%) of all nodes supported in 100% of bootstrap replicates.
The tree based on amino acid sequence data (SI Appendix,Fig.S3)
was highly concordant with that based on nucleotide data. Analysis
of an optimized amino acid dataset (SI Appendix,Supplemental
Materials and Methods)producedatree(SI Appendix,Fig.S4)that
was identical to that based on all amino acids with respect to re-
lationships among orders, suborders, infraorders, and superfamilies,
but had some minor rearrangements within these groups.
Considering relationships within and among orders in more de-
tail, the thrips (Thysanoptera) were recovered with 100% bootstrap
support as the sister taxon of Hemiptera (i.e., monophyletic Con-
dylognatha), although only 68% of quartets supported this result in
four-cluster likelihood mapping (FcLM) (SI Appendix,TablesS5
and S6). As in the study of Misof et al. (1), Psocodea was placed as
the sister taxon of Holometabola in 100% of bootstrap replicates,
rendering hemipteroid insects paraphyletic. However, only 25% of
quartets supported Psocodea as sister to Holometabola, compared
with 67% of the quartets supporting hemipteroid insect mono-
phyly. Results from the FcLM imply that the placement of
Psocodea as sister to Holometabola is unstable and may be due
to confounding phylogenetic signal (e.g., from heterogeneous
composition of amino acid sequences, nonstationarity of sub-
stitution processes, or nonrandom distribution of missing data)
and is also dependent on the taxon sample. However, permutation
tests of these results suggested the impact of these potential
confounding signals on the topology was minor (SI Appendix,
Table S6). To evaluate whether the parasitic lice in particular
(Phthiraptera), which have elevated substitution rates compared
with other hemipteroids (16), were a possible source of conflicting
signal, we compared quartets with and without these ectoparasitic
insects as the representative of Psocodea. However, the support
from FcLM for monophyly of hemipteroid insects was highly
similar whether parasitic lice were included (66%) or not (67%).
Morphological character mapping over three possible alterna-
tive topologies (SI Appendix,Fig.S5) revealed no apomorphies
supporting Psocodea +Holometabola. In contrast, there are 14
potential apomorphies for the monophyly of Paraneoptera. These
results indicate that there is more agreement between morphology
and the FcLM results, compared with the supermatrix analyses
with all taxa. For Coleorrhyncha (moss bugs), three characters are
apomorphies for a sister relationship to Auchenorrhyncha (leaf-
hoppers and relatives) but two other characters appear to support
a sister relationship to Heteroptera (true bugs).
In general, the phylogenetic results from transcriptomes are
congruent with the generally accepted classification schemes
within these insect orders. Bark lice and parasitic lice (Psocodea)
together are monophyletic. As has been suggested based on both
morphological (17) and molecular (16, 18) analyses, the parasitic
lice are embedded within free-living bark lice, being the sister
taxon of book lice (Liposcelididae), which makes the bark lice
(Psocoptera) paraphyletic. In contrast to results based on 18S
rDNA sequences (18), parasitic lice (Phthiraptera) were sup-
ported as a monophyletic group in our analyses, which included
representatives of all four suborders of parasitic lice.
The thrips (Thysanoptera) were found to be monophyletic. The
thrips family Phlaeothripidae was recovered as the sister taxon to
the remaining thrips (Aeolothripidae +Thripidae), congruent
with previous molecular analyses and the current classification of
Thysanoptera into the suborders Tubulifera (i.e., Phlaeothripidae)
and Terebrantia (all other thrips) (19).
The order Hemiptera was also monophyletic. Within Hemi-
ptera, Sternorrhyncha (whiteflies, psyllids, scales, and aphids) was
recovered as the sister taxon of the remaining hemipterans. Re-
cent classification schemes (20) and prior molecular studies (13,
21) have placed the enigmatic moss bugs as the sister taxon of true
bugs. However, our results recovered moss bugs as the sister
taxon of Auchenorrhyncha (leafhoppers, planthoppers, and rel-
atives), which was also found by Misof et al. (1). In FcLM
analyses, 96% of quartets placed moss bugs with Auchenor-
rhyncha, suggesting little underlying conflict in the data for this
result (SI Appendix, Table S6).
2of6
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www.pnas.org/cgi/doi/10.1073/pnas.1815820115 Johnson et al.
Within Sternorrhyncha, whiteflies (Aleyrodoidea) were sister
to the remainder of the suborder, and psyllids (Psylloidea) were
sister to a clade composed of aphids (Aphidoidea) +scale insects
(Coccoidea), also supported by 91% of quartets in FcLM analyses.
Previous phylogenetic analyses of Sternorrhyncha have tended to
focus within particular superfamilies or families (e.g., refs. 2224)
Lygaeoidea (9)
Coreoidea (3)
Pyrrhocoroidea (3)
Pentatomoidea (9)
Aradoidea (2)
Miroidea (5)
Cimicoidea (2)
Naboidea (2)
Reduvioidea (4)
Saldoidea (1)
Notonectoidea (3)
Naucoroidea (2)
Ochteroidea (1)
Nepoidea (3)
Corixoidea (2)
Gerroidea (4)
Hydrometroidea (1)
Mesoveloidea (1)
Enicocephalomorpha (1)
Dipsocoromorpha (1)
Membracoidea (15)
Cercopoidea (4)
Cicadoidea (2)
Fulgoroidea (13)
Coleorrhyncha (3)
aretporeteH
-o
n
ehcu
Aahcnyhrr
Coccoidea (9)
Aphidoidea (6)
Psylloidea (9)
Aleyrodoidea (1)
-on
re
t
Sa
hcnyhr
r
aretpimeH
Aeolothripidae (4)
Thripidae (3)
Phlaeothripidae (1)
-nasy
hT ar
e
t
po
Homilopsocidea (7)
Caeciliusetae (4)
Psocetae (4)
Epipsocetae (1)
Philotarsetae (2)
Phthiraptera (8)
Liposcelididae (2)
Sphaeropsocidae (1)
Amphientometae (1)
aedocosP
Trogiomorpha (2)
Holometabola (11)
Polyneoptera (17)
Palaeoptera (5)
Carboniferous Permian Jurassic CretaceousTriassic Paleog. Neo. Q.
50
100
150200250300 0mya350400
Devonian
D
e
v
o
n
ia
n
C
a
r
ni
f
e
f
f
r
ous
P
e
r
mia
n
T
r
iassic
Ju
r
assic
C
r
eta
c
eous
P
a
l
eo
g
g
.
Ne
o
.
Q
.
Bootstrap
support
100%
91-99%
76-90%
51-75%
true bugs
leafhoppers/treehoppers
spittlebugs
cicadas
planthoppers
moss bugs
scale insects
aphids
psyllids
thrips
bark lice and
parasitic lice
parasitic lice
book lice
bark lice
Gerromorpha
Nepomorpha
Leptopodomorpha
Pentatomomorpha
Cimicomorpha
Cicadomorpha
semi-aquatic bugs
Terebrantia
Tubulifera
Psocomorpha
aquatic bugs
shore bugs
litter bugs
unique-headed bugs
assassin bugs
damsel bugs
bed bugs
plant bugs
stink bugs
red bugs
seed bugs
leaf-footed bugs
bark lice
bark lice
bark lice
h
Fig. 1. Dated phylogeny of hemipteroid insects (Hemiptera, Thysanoptera, and Psocodea) based on maximum likelihood analysis of a supermatrix of first and
second codon position nucleotides corresponding to 859,518 aligned amino acid positions from transcriptome or genome sequences of 193 samples. Colored
circles indicate bootstrap support. Timescale in millions of years (Bottom) estimated from MCMCTree Bayesian divergence time analyses using 23 fossil
calibration points and a reduced dataset. Number of species sampled from each group indicated in parentheses. Higher taxa are indicated as taxon labels and
below branches; most convenient generalized common names are above branches. Images represent five major groups: Heteroptera, Auchenorrhyncha,
Sternorrhyncha, Thysanoptera, and Psocodea.
Johnson et al. PNAS Latest Articles
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EVOLUTION
rather than addressing relationships among major lineages
(superfamilies).
The earliest molecular phylogenetic analyses of Hemiptera (e.g.,
refs. 25 and 26) failed to recover Auchenorrhyncha as a mono-
phyletic group, as has a more recent analysis of mitochondrial
genomes (15). However, our analyses provided strong support for
monophyly of this group, corroborating results of other studies
based on multiple loci (13, 14). Within Auchenorrhyncha, our re-
sults strongly support the taxonomic status of the two recognized
infraorders Fulgoromorpha (i.e., Fulgoroidea, planthoppers) and
Cicadomorpha (leafhoppers/treehoppers, spittlebugs, and cicadas)
as monophyletic, as found previously (13). However, relationships
among the three superfamilies of Cicadomorpha were inconsis-
tently resolved. Cicadas (Cicadoidea) plus spittlebugs (Cercopoi-
dea) were sister to leafhoppers/treehoppers (Membracoidea) in the
analysis of nucleotide sequences (Fig. 1, FcLM 52% of quartets),
but cicadas were sister to spittlebugs plus leafhoppers/treehoppers
in the analysis of amino acid sequence data (SI Appendix,Fig.S1),
which was also found in 48% of quartets of nucleotide data in
FcLM analyses.
Relationships among the earlier diverging lineages of true bugs
(Heteroptera) have not been resolved consistently across previous
analyses (14, 2729), in which the deepest divergences received low
statistical branch support and recovered different relationships
among infraorders. In our analysis, which included representatives
of all seven currently recognized infraorders, the four infraorders
for which more than one species was included were found to be
monophyletic. Like two recent studies based on combined molec-
ular and morphological data (29) and transcriptome data (14),
we found 100% bootstrap support for (i) a clade comprising litter
bugs (Dipsocoromorpha), unique-headed bugs (Enicocephalo-
morpha), and semiaquatic bugs (Gerromorpha) (also found in
100% of quartets in FcLM analyses) and (ii) shore bugs (Lep-
topodomorpha) as the sister to Cimicomorpha +Pentatomo-
morpha (also found in 100% of quartets in FcLM analyses).
Divergence Time Analysis. The estimate of the root age for our
tree, the split between Paleoptera (dragonflies, damselflies, and
mayflies) and Neoptera (all other insects) at 437 million years
ago (mya) (95% CI 401486) was only slightly older than that
estimated for this node by Misof et al. (1), at 406 mya. Di-
vergence dates for more interior nodes tended to be older than
those estimated by Misof et al. (1) and more similar to those of
Tong et al. (30), possibly due either to much denser sampling of
minimum age fossil calibration points throughout this part of the
insect tree or to different methodology (e.g., MCMCtree versus
BEAST or different prior distributions of expected ages for
Bayesian analyses). Analyses of divergence times postulated a
common ancestor of thrips and hemipterans as early as the Devo-
nian (407 mya, 95% CI 373451). Radiation within Hemiptera is
also inferred to have begun in this period (386 mya, 95% CI 354
427), with radiations within Sternorrhyncha, Auchenorrhyncha, and
Heteroptera having commenced by the late Carboniferous (all be-
fore 300 mya). Radiation within modern Psocodea dates to the
Carboniferous (328 mya, 95% CI 292376), with divergence of this
lineage from other insects as early as 404 mya (95% CI 367451).
Discussion
Analysis of 2,395 protein-coding, single-copy genes derived from
transcriptomes of hemipteroid insects and outgroups provided
strong support for a backbone tree of hemipteroid insects largely
congruent with previous analyses and classification schemes. In
particular, we recovered with strong support monophyly of the
three orders of hemipteroid insects: Psocodea, Thysanoptera,
and Hemiptera. We also recovered monophyly of most currently
recognized suborders, infraorders, and superfamilies within these
groups as well as resolving relationships among these major
groups. Although the unconventional result of a sister relation-
ship between Psocodea and Holometabola of Misof et al. (1)
appeared to be robust to our substantially increased taxon
sampling based on maximum likelihood bootstrapping, it was not
supported by four-cluster likelihood mapping analyses. FcLM,
which can detect potentially confounding signal, suggests ex-
tensive underlying conflict for this result, with the majority of
quartets placing Psocodea with thrips and hemipterans, which
would imply monophyly of Paraneoptera in rooted trees. How-
ever, permutations appear to rule out several possible types of
confounding signal (e.g., among-lineage heterogeneity or non-
random distribution of missing data) in our dataset. Recent work
has suggested that bootstrap support from very large datasets
may provide an overestimate of confidence for phylogenetic re-
sults (3133). Thus, the position of Psocodea in the insect tree is
still an open question. Monophyly of hemipteroid insects is
supported by several morphological autapomorphies (34); there-
fore, nonmonophyly of the group would imply homoplasy in these
traits. In addition, there is no known morphological apomorphy
supporting Psocodea +Holometabola (SI Appendix,Fig.S5). In
contrast, the other less conventional relationship, a clade com-
prising Coleorrhyncha and Auchenorrhyncha uncovered by Misof
et al. (1), was recovered by our trees with increased taxon sam-
pling and is supported by 96% of quartets in the FcLM analyses
and three morphological apomorphies, suggesting that this result
is robust.
Divergence time estimates using a dense sampling of 23 fossil
calibration points suggest that the radiation of the hemipteroid
insect orders is relatively ancient, beginning before the early
Carboniferous, considerably older than initial expectations based
on available fossils. However, the insect fossil record of this
period is extremely fragmentary, and relatively old fossils of
modern lineages that are used as calibration points imply that
branches uniting these lineages must be older still, given that
fossil ages represent minimum ages.
Implications for Evolution of Feeding Strategy. Our phylogenetic
results generally agree with evidence from the fossil record that the
earliest hemipteroids fed on detritus, pollen, fungi, or spores (as in
most modern bark lice and thrips). Plant-fluid feeding probably
coincided with the origin of Hemiptera and was independently
derived in thrips. Today, Hemiptera is the fifth largest insect order,
surpassed only by the four major holometabolous orders (Hyme-
noptera, Coleoptera, Lepidoptera, and Diptera). It remains one of
the most abundant and diverse groups of plant-feeding insects.
Within Hemiptera, the origin of true bugs apparently coincided
with a shift from herbivory to predation, with subsequent shifts
back to herbivory (29, 35) in the more derived lineages (Pentato-
momorpha and Cimicomorpha). The two other large suborders of
Hemiptera (Auchenorrhyncha and Sternorrhyncha) feed almost
exclusively on vascular plant fluids.
Our results also suggest that the earliest hemipterans fed
preferentially on phloem. Phloem feeding remains predominant in
extant plant-feeding hemipterans, including nearly all Sternor-
rhyncha and most Auchenorrhyncha (36), while modern moss
bugs feed on phloem-like tissues in mosses (37). A shift to xylem
feeding appears to have coincided with the origin of Cicadomor-
pha (at least the crown group of this lineage), in which all cicadas
and spittlebugs retain this preference. This is also supported by the
fossil record in which the earliest leafhoppers had inflated faces
(38), indicating a preference for xylem feeding, despite the pre-
dominance of phloem feeding among modern leafhoppers and
treehoppers (Membracoidea). A shift to phloem feeding appar-
ently occurred early in the evolution of Membracoidea but at least
one reversal to xylem feeding [in Cicadellinae (sharpshooters)] has
been inferred previously (39), consistent with our results.
Implications for Morphological Evolution. Based on the conflicting
statistical support between the supermatrix analysis and four-
cluster likelihood mapping, the position of lice (Psocodea) ap-
pears to be unstable. Morphological evidence, in contrast, supports
the monophyly of hemipteroid insects (Paraneoptera). Our parsi-
mony mapping of 142 morphological characters (SI Appendix,Fig.
S5) found no apomorphies supporting Psocodea +Holometabola
but 14 apomorphies supporting hemipteroid insect monophyly.
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www.pnas.org/cgi/doi/10.1073/pnas.1815820115 Johnson et al.
Some of these are reductions or losses, including the reduced
number of tarsomeres (three in modern hemipteroids), reduced
number of Malpighian tubules (four), and presence of only one
abdominal ganglionic complex. Nevertheless, these characters, to-
gether with characters of the forewing base, still appear to support
the sister group relationship between Psocodea and thrips plus
hemipterans (11, 34, 40). Thus, the phylogenetic position of Pso-
codea requires further study of morphological and molecular data.
In contrast to the equivocal support for Paraneoptera, Con-
dylognatha is strongly supported not only in the phylogenomic
analyses, but also with six morphological apomorphies. The or-
igin of this group apparently coincided with a distinct shift in
mouthpart morphology and feeding habits toward piercing and
sucking. These changes include anterior shifting of tentorial pits,
elongated and slender mandibles, stylet-like laciniae, and a
narrowed labium (SI Appendix, Fig. S5). Subsequent evolution-
ary transformations led to the very distinct and unique piercing
sucking mouthparts of hemipterans that facilitate ingestion of
liquid from plant or animal tissues.
The sister-group relationship that we found between moss bugs
(Coleorrhyncha) and Auchenorrhyncha has not, to our knowledge,
been proposed previously in any explicit phylogenetic analysis other
than in recent phylogenomic analyses of transcriptomes (1, 14).
Traditionally, moss bugs were treated as one of three suborders of
Homoptera(along with Sternorrhyncha and Auchenorrhyncha),
largely based on the structure of the head. The mouthparts of moss
bugs arise posteroventrally (41), as in leafhoppers and relatives,
rather than anteriorly as in true bugs (42). Nevertheless, morpho-
logical evidence from fossil and living moss bugs, primarily from
wing structure and musculature, suggested a closer relationship to
true bugs (9, 41, 43). However, a recent comparative morphological
study (12) revealed that moss bugs share a unique derived feature of
the wing base with Auchenorrhyncha; a membranous proximal
median plate. The same study also showed that some previously
suggested morphological synapomorphies of moss bugs and true
bugs (SI Appendix,Fig.S5C) are either ambiguous or have been
misinterpreted (12). Prior molecular evidence supporting moss bugs
plus true bugs was also somewhat equivocal [ref. 13: maximum
likelihood (ML) bootstrap 83% and maximum parsimony (MP)
bootstrap 63%]. Our results support those of other transcriptome
studies (1, 14) in placing Coleorrhyncha sister to Auchenorrhyncha.
Implications for Evolution of Mitochondrial Genome Organization.
Several groups of hemipteroid insects have been shown to have
highly rearranged mitochondrial genomes (2). The sister re-
lationship between thrips and hemipterans indicates that the
heightened rates of mitochondrial (mt) genome rearrangements
observed in the lice (44) and thrips (45) are the result of con-
vergence between these two clades. Even if Psocodea is sister to
thrips plus hemipterans, and not to holometabolous insects, re-
cent analyses indicating that the ancestor of all Psocodea had a
generally standard insect mitochondrial gene order still result in
an interpretation involving convergence (46). This phylogenetic
evidence is also consistent with the absence of any shared, de-
rived gene arrangements between Psocodea and thrips, as both
have independently diverged from the inferred ancestral insect
mt genome arrangement (2, 45).
An interpretation involving convergence is also consistent with
the varying degrees of rearrangement observed within each order.
Within Psocodea, mt genomes vary wildly across different taxo-
nomic scales, from a single derived arrangement found in all
Psocomorpha (46), to wide variation within a single genus (Lip-
oscelis, ref. 47), and between closely related species of parasitic
lice. In contrast, for the thrips, mitochondrial genome arrange-
ments are relatively consistent at the family level (with only tRNA
rearrangements observed), albeit still highly rearranged relative to
the ancestral insect mt genome (48). Very few rearrangements of
any type are observed in the Hemiptera, with the vast majority of
families possessing the inferred ancestral arrangement (2).
In summary, although the exact phylogenetic position of
Psocodea remains to be resolved convincingly, our results based
on transcriptomes for hemipteroid insects provide a strong phyloge-
netic framework for future studies of genomic, morphological, eco-
logical, and behavioral characteristics of this important group of insects.
Materials and Methods
Our general approach closely followed methods described previously by
Misof et al. (1) and Peters et al. (49) for phylogenomic analyses of insect
transcriptomes (SI Appendix, Dryad repository, 10.5061/dryad.t4f4g85). Tran-
scriptomes of 140 samples of Paraneoptera were newly sequenced with
100 bp paired-end reads for this study using Illumina HiSeq2000 or HiSeq2500
machines to achieve at least 2.5 Gbp per taxon. The final taxon sample of
193 includes representatives of 97 hemipteroid families with several larger
families represented by multiple subfamilies.
All paired-end reads were assembled with SOAPdenovo-Trans (version
1.01; ref. 50) and the assembled transcripts were filtered for possible con-
taminants (SI Appendix, Table S2) as described in Peters et al. (49). The raw
reads and filtered assemblies were submitted to the NCBI SRA and TSA ar-
chives (SI Appendix, Table S1). We searched the assemblies for transcripts of
2,395 protein-coding genes that the OrthoDB v7 database (51) suggested to
be single copy across the genomes of six species (SI Appendix, Table S3) using
the software Orthograph (version beta4, ref. 52; for results of the orthology
search see SI Appendix, Table S4). Orthologous transcripts were aligned with
MAFFT (version 7.123; ref. 53) at the translational (amino acid) level. Cor-
responding nucleotide multiple sequence alignments were generated with a
modified version of the software Pal2Nal (54) (version 14).
Alignment sections that could not be discriminated from randomly aligned
regions at the amino acid level of each gene were identified with Aliscore version
1.2 (55, 56). To maximize the fit of our substitution models, we identified for
each gene the protein domains (clans, families) and unannotated regions using
the Pfam database (refs. 1 and 57 and SI Appendix,Supplemental Materials and
Methods). The phylogenetic information content of each data block was assessed
with MARE (version 0.1.2-rc) (58), and all uninformative data blocks (IC =0) were
removed. We subsequently used PartitionFinder (developer version 2.0.0-pre14,
ref. 59) to simultaneously infer the best partitioning scheme and amino acid or
nucleotide (removing third positions because of heterogeneity, SI Appendix,Fig.
S6) substitution models, using the rclusterf algorithm.
Phylogenetic treeswere inferred using a maximum likelihood approach with
ExaML version 3.0.17 (60)for both the nucleotide and amino acid datasets. We
performed 50 nonparametric bootstrap replicates mapping the support on the
best ML tree after checking for bootstrap convergence with the default
bootstopping criteria (61). An optimized dataset, which requires the presence
of at least one species from a given taxonomic group (SI Appendix,TableS5)in
each data block of the supermatrix (62), was used for testing the possible
impact of missing data at the partition level. Four-cluster likelihood mapping
(63) was used for assessing the phylogenetic signal for alternative phyloge-
netic relationships (SI Appendix,TablesS5andS6). Permutation tests in these
analyses assessed the impact of heterogeneous amino acid sequence compo-
sition among lineages, nonstationarity of substitution processes, and non-
random distribution of missing data on the inferred phylogenetic tree (1).
To understand the morphological transformations underlying the evolution
of the hemipteroid groups and to identify potential shared derived characters
(synapomorphies),we used the morphological data matrix of Friedemann et al.
(9) with 118 charactersof the entire body (with modifications from ref.12) and
additionally 25 characters associated with the wing base (8). By tracing char-
acters over the tree using maximum parsimony using Winclada (64), we
evaluated three possible phylogenetic alternatives: (i) paraphyletic Para-
neoptera and Coleorrhyncha sister to Auchenorrhyncha (result from ML
analysis of transcriptomes); (ii) monophyletic Paraneo ptera (as sugg ested by
FcLM analyses); and (iii) paraphyletic Paraneoptera, but with Coleorrhyncha
sister to Heteroptera (as suggested in previous literature).
To estimate divergence dates, we used the topology resulting from ML
analysis of first and second position nucleotides as the input tree and assigned
23 ingroup fossil calibration points (65) throughout the tree (SI Appendix,
Table S7). These calibrations were used as minimum ages in soft bound
uniform priors with a root age of 406 mya (1) as a soft bound maximum.
These priors were used in a Bayesian MCMCTree (66) molecular dating
analysis of a first and second position nucleotide dataset for which sites were
present in at least 95% of taxa.
ACKNOWLEDGMENTS. We thank E. Anton, M. Bowser, C. Bramer, T. Catanach,
D. H. Clayton, J. R. Cooley, G. Gibbs, A. Hansen, E. Hdez, A. Katz, K. Kjer, J. Light,
A.Melber,B.Morris,D.Papura,H.Pohl,R.Rakitov,C.Ray,S.Schneider,
K. Schütte, W. Smith, K.-Q. Song, T. Sota, N. Szucsich, G. Taylor, S. Taylor,
S. Tiwari, and X. Tong for assistance with obtaining specimens; G. Meng and
Beijing Genomics Institute staff for their efforts in data curation; and O. Niehuis
Johnson et al. PNAS Latest Articles
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EVOLUTION
for assistance preparing the ortholog gene set. R.M.W. was supported by Swiss
National Science Foundat ion Grant PP00P3_1706642. K.M. was supported by
David Yeates, the Schlinger Endowment, CSIRO National Research Council
Australia, J. Korb, and the University of Freiburg. This work was also sup -
ported by National Science Foundation DEB-1239788 (to K.P.J., C.H.D., and
H.M.R.).
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... Their oldest fossils date back to the Late Carboniferous (320 million years ago, Ma), with the Protoprosbolidae and Aviorrhynchidae lineages 33,34 . Recent divergence time analyses suggested that Hemiptera may have originated even earlier, in the Late Devonian-Early Carboniferous 35,36 . ...
... C, F, I Diversity through time (number of genera) of Hemiptera. J Relationships between major extinct and extant Hemiptera lineages (adapted from Johnson et al. 36 and Szwedo 32 ), showing the number of genera included in our analyses (in red), the number of occurrences in our datasets (in black) and the number of extant species (based on Streito and Germain 150 ), the lifespan of each lineage indicated by the grey bars. K Chronostratigraphic scale since Carboniferous with the major paleo-events. ...
... Nevertheless, they are particularly valuable as they can identify shifts in diversification rates at different points in time and across the phylogeny, associating these shifts with specific clades (referred to as macroevolutionary cohorts with shared diversification regimes). To embrace this vision, the acquisition of new genomic data is essential to resolve deep nodes in the Hemiptera tree of life 36 . Additionally, a more comprehensive sampling, beyond what was available in previous studies, will be necessary. ...
Article
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Untangling the patterns and drivers behind the diversification and extinction of highly diversified lineages remains a challenge in evolutionary biology. While insect diversification has been widely studied through the “Big Four” insect orders (Coleoptera, Hymenoptera, Lepidoptera and Diptera), the fifth most diverse order, Hemiptera, has often been overlooked. Hemiptera exhibit a rich fossil record and are highly diverse in present-day ecosystems, with many lineages closely associated to their host plants, making them a crucial group for studying how past ecological shifts—such as mass extinctions and floral turnovers—have influenced insect diversification. This study leverages birth-death models in a Bayesian framework and the fossil record of Hemiptera to estimate their past diversity dynamics. Our results reveal that global changes in flora over time significantly shaped the evolutionary trajectories of Hemiptera. Two major faunal turnovers particularly influenced Hemiptera diversification: (i) the aftermath of the Permo-Triassic mass extinction and (ii) the Angiosperm Terrestrial Revolution. Our analyses suggest that diversification of Hemiptera clades was driven by floristic shifts combined with competitive pressures from overlapping ecological niches. Leveraging the extensive fossil record of Hemiptera allowed us to refine our understanding of diversification patterns across major hemipteran lineages.
... The relationships among hemipterans have been investigated in a new analysis of transcriptome data by Johnson et al. (2018) that show the Peloridiidae as the sister-group to Auchenorrhyncha, whereas both an analysis of 128 mitochondrial genomes (Li et al., 2017) and combined analyses of 135 taxa in 60 families and with 4018 bp ribosomal DNA and 81 morphological characters ) support a sister-group relationship of Peloridiidae and Heteroptera. Although the basal relationships among heteropteran infraorders and their relatives still are being investigated, and may change when DNA sequence data from more critical key taxa become available, we tentatively adhere to Coleorrhyncha being the closest extant relatives of Heteroptera. ...
... It is noteworthy that the phylogenetic conclusions from Wheeler et al. (1993) stood uncontested for almost two decades despite a very limited sampling of taxa and characters. When new studies finally were published, they relied on different data sets analyzed with different methods and with different outcomes (Li et al., 2012;Wang et al., 2016aWang et al., , 2019Johnson et al., 2018;Weirauch et al., 2019;Kieran et al., 2019); these results transformed heteropteran systematics into a thriving Tower of Babel (Caterino et al., 2000) where each study would be based on a restricted number of characters not comparable to the data sets of other such studies, thus hampering the concerted efforts to include as many critical and difficult-to-obtain species as possible. ...
... In the second edition of True Bugs of the World (Schuh & Weirauch, 2020), the above studies were reviewed, and the authors recognized the well-supported relationships of Pentatomomorpha and Cimicomorpha (together the Terheteroptera), the Terheteroptera + Leptopodomorpha (together the Geoheteroptera), and a clade comprising the Gerromorpha, Enicocephalomorpha, and Dipsocoromorpha (abbreviated to the GED-clade), even though the exact relationships among these infraorders still are disputed. However, the most disputed relationship is that of Nepomorpha, which is either the sister group to the Geoheteroptera (Johnson et al., 2018;Wang et al., 2019) or to all remaining Heteroptera . Both scenarios are well supported and agree that Nepomorpha branched off earlier than previously thought, but only one scenario can be true. ...
... This protein sequence alignment was used to construct a maximum likelihood species tree using RAxML v8.2.12 134 with the PROTGAMMAWAG model. R8s v1.81 135 was used to estimate the divergence times of these species, incorporating two fossil calibration points: Aphidomorpha (135 Ma 136,137 ) and Aphidinae (70 Ma 137 ), along with a previously used secondary calibration point at the root of Hemiptera (386 Ma 138 ). ...
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Genomic rearrangements are primary drivers of evolution, promoting biodiversity. Aphids, an agricultural pest with high species diversity, exhibit rapid chromosomal evolution and diverse karyotypes. These variations have been attributed to their unique holocentric chromosomes and parthenogenesis, though this hypothesis has faced scrutiny. In this study, we generated a chromosomal-level reference genome assembly of the celery aphid (Semiaphis heraclei) and conducted comparative genomic analysis, revealing varying chromosomal evolution rates among aphid lineages, positively correlating with species diversity. Aphid X chromosomes have undergone frequent intra-chromosomal recombination, while autosomes show accelerated inter-chromosomal recombination. Moreover, considering both inter- and intra-chromosomal rearrangements, the increased autosomal rearrangement rates may be common across the Aphidomorpha. We identified that the expansion of DNA transposable elements and short interspersed nuclear elements (SINEs), coupled with gene loss and duplication associated with karyotypic instability (such as RIF1, BRD8, DMC1, and TERT), may play crucial roles in aphid chromosomal evolution. Additionally, our analysis revealed that the mutation and expansion of detoxification gene families in S. heraclei may be a key factor in adapting to host plant chemical defenses. Our results provide new insights into chromosomal evolutionary patterns and detoxification gene families evolution in aphids, aiding the understanding of species diversity and adaptive evolution.
... Entender as relações de parentesco permite compreender as adaptações morfológicas dos insetos com aparelho bucal mandibular (mastigador), e quando foi adquirido um modo de alimentação perfurante e sugador, em todos os estágios de vida. Observando esse grupo de insetos com características bucais peculiares (ordem Hemiptera em adição das ordens Thysanoptera e Psocodea; anteriormente chamados "hemipteróides"), Johnson et al. (2018), tentaram responder as lacunas quanto a diversificação. Os autores observaram a abrangente abordagem filogenômica de análises de máxima verossimilhança de genes codificadores de proteínas provenientes de transcriptomas de diversos grupos de insetos realizada por Misof et al. (2014), e compararam com abordagens semelhantes com foco mais restrito. ...
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Understanding the population dynamics of vectors is crucial for the effective control of diseases transmitted by them. In the semi-arid northeastern region of Brazil, the triatomine insect Triatoma brasiliensis Neiva, 1911 persists as the most significant vector of Chagas disease, often presenting with persistent household infestation. Recent analyses of microsatellites and the mitochondrial gene Cytochrome b (MT-CYB) detected gene flow between T. brasiliensis populations from sylvatic and domiciliary environments in the state of Rio Grande do Norte (RN), raising relevant public health concerns. In the municipality of Currais Novos (RN), a high prevalence of peridomiciliary reinfestations by T. brasiliensis together with high rates of infection by Trypanosoma cruzi were observed, making this a worrying scenario as sylvatic populations represent a focus of reinfestation difficult to access. Therefore, we assessed the distribution of genetic variation via Sanger sequencing of the MT-CYB gene (n = 109) and high-throughput sequencing of single-nucleotide polymorphisms (SNPs, n = 86) to assess gene flow between distinct populations distributed in geographic areas and varied environments, mainly sylvatic and peridomiciliary. The samples available for analysis were previously collected from the rural communities of Currais Novos, within a radius of 16 km, and included 14 sampling points: two domiciliary, eight peridomiciliary, and four sylvatic. Furthermore, we included an external population located 220 km from the study area. Through AMOVA analysis of MT-CYB gene variation, we identified four distinct population groups with statistical significance (FCT= 0.42; p<0.05). Using the method employed to obtain SNP information based on ddRAD-seq genotyping-by-sequencing (GBS), which allows genome-wide analysis to infer genetic variation, we identified a total of 3,013 SNPs, with 11 loci putatively under selection. The variation based on 3,002 neutral loci showed a lack of genetic structure based on low FST values (p>0.05), indicating local panmixis. However, three samples from the external population were assigned to a cluster contrasting with those supposedly under local panmixia (>98%), validating the genomic marker recently applied for studies on population genetics at more precise levels of resolution for T. brasiliensis. The presence of population structure in some of the sampled points, as suggested by the mitochondrial marker, leads us to assume that the infestations were probably initiated by small populations of females, whose demographic event represents a risk of rapid reinfestations. The local panmictic pattern revealed by the GBS marker represents a challenge for vector control measures because reinfestation foci can be distributed over a wide geographic and ecological area. In our dataset, the results demonstrated that the genetic signals of both markers were complementary. Therefore, it is essential to consider the nature and pattern of inheritance of each marker when inferring the pattern of reinfestations.
... Bajo este panorama, los análisis moleculares que incluyen el código de barras de ADN son muy útiles para proponer y apoyar la identificación de estas especies (Meyin et al. 2016), así como, para el estudio de su diversidad y filogenia (Brożek 2014, Meyin et al. 2016, Johnson et al. 2018. El código de barras de ADN utiliza los datos de las secuencias de nucleótidos del gen de la subunidad I de citocromo oxidasa (COI) y representa sin duda el enfoque más destacado y popular para la identificación genética de las especies y de diversidad genética, ya que permite caracterizar a cada especie mediante un perfil o huella genética única definida por la composición y el orden de los nucleótidos (Park et al. 2011, Havemann et al. 2018. ...
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La diversidad genética es una condición básica que determina cómo las especies mantienen sus funciones metabólicas en diversos ecosistemas. Los ecosistemas acuáticos, se enfrentan a diferentes problemáticas, que ponen en riesgo la diversidad genética de varios grupos taxonómicos como los insectos acuáticos, que desempeñan un importante papel ecológico en estos ambientes. El objetivo de esta investigación fue analizar la diversidad genética de chinches acuáticos y semiacuáticos en un sistema cenagoso de la cuenca media del río Magdalena. Se realizó trabajo de campo y se recolectaron los ejemplares mediante barridos con una red entomológica acuática tipo D, en el laboratorio se realizó un análisis de la subunidad 1 del gen Citocromo Oxidasa (COI). Se identificaron 29 ejemplares con la información disponible en el Barcode of Life Data System (BOLD) y GenBank, y se estimaron las distancias y las relaciones genéticas entre Gerromorpha y Nepomorpha. Para el infraorden Gerromorpha se identificaron tres especies, una especie no descrita de Metrobates sp. y once morfotipos agrupados en nueve géneros de cuatro familias y para Nepomorpha se identificó una especie no descrita y tres morfotipos agrupados en tres géneros de la familia Notonectidae. Se obtuvo un nuevo registro del COI para Ovatametra obesa en Colombia. Las distancias genéticas variaron desde 0,05 hasta 0,29 para Gerromorpha y para Nepomorpha los valores fueron menores a 0,24. La alta variación identificada para Gerromorpha y Nepomorpha resalta la diversidad de esta entomofauna presente en la ciénaga, y demuestra la resiliencia ecológica de estos grupos frente a la intervención antrópica.
... Minus-C OBPs are more abundant in older insects and may be ancestral proteins evolved from classic OBPs [65]. In the Psocodea, the divergence time between barklice and parasitic lice (Carboniferous period) is earlier than that between the parasitic lice and booklice (Jurassic period) [69,70]. We identified one Minus-C OBP in the OBP repertoire of each barklice species. ...
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Background Booklice, belonging to the genus Liposcelis (Psocodea: Liposcelididae), commonly known as psocids, infest a wide range of stored products and are implicated in the transmission of harmful microorganisms such as fungi and bacteria. The olfactory system is critical for insect feeding and reproduction. Elucidating the molecular mechanisms of the olfactory system in booklice is crucial for developing effective control strategies. In this study, we aim to bridge this knowledge gap by leveraging the transcriptome and genome data from five Liposcelis species. Result Using HMMER method and manual annotation, we have identified common gene families associated with olfactory processes, including odorant binding proteins (OBPs), chemosensory proteins (CSPs), odorant receptors (ORs), ionotropic receptors (IRs), and sensory neuron membrane proteins (SNMPs). Specifically, we identified 94, 118, 26, 47, and 34 olfactory-related genes in L. bostrychophila, L. tricolor, L. entomophila, L. decolor, and L. yangi, respectively. Comparison of quantities revealed that the number of ORs and IRs in the genome is significantly higher than those identified in the transcriptome. This discrepancy may be due to the specific expression of these genes in certain tissues or their lack of expression during the experimental stage. Simultaneously, analysis of gene expression profiles across different developmental stages revealed varying periods of peak expression for olfactory-related genes. These results suggest that the identification of olfactory-related genes in booklice on a genome-wide scale is more feasible and reliable than using a transcriptome-based approach. Additionally, compared to parasitic lice, booklice possess significantly more olfactory-related genes. This increase may be due to the inability of parasitic lice to survive without a host, whereas booklice have a wide range of feeding habits and live in complex and variable environments. Furthermore, we observed that the IR gene family in L. tricolor has undergone a certain degree of amplification, which may facilitate its adaptation to diverse environmental conditions. Conclusions We identified olfactory-related genes of five Liposcelis species for the first time, providing valuable insights for future functional investigations into olfactory genes associated with pheromone and odorant recognition. These discoveries present promising targets for effectively managing psocid pests.
... The protein sequences of 10 other paraneopteran species were downloaded from the GenBank database. F. occidentalis was used as the outgroup because Thysanoptera (thrips) is strongly supported as sister to Hemiptera based on phylogenomic analysis [64]. First, alternative splicing for each gene was filtered out, maintaining the longest transcript. ...
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Invasive species cause massive economic and ecological damage. Climate change has resulted in an unprecedented increase in the number and impact of invasive species; however, the mechanisms underlying these invasions are unclear. The sycamore lace bug, Corythucha ciliata, is a highly invasive species originating from North America and has expanded across the Northern Hemisphere since the 1960s. In this study, we assembled the C. ciliata genome using high-coverage Pacific Biosciences (PacBio), Illumina, and high-throughput chromosome conformation capture (Hi-C) sequencing. A total of 15,278 protein-coding genes were identified, and expansions of gene families with oxidoreductase and metabolic activities were observed. In-depth resequencing of 402 samples from native and nine invaded countries across three continents revealed 2.74 million single nucleotide polymorphisms. Two major invasion routes of C. ciliata were identified from North America to Europe and Japan, with a contact zone forming in East Asia. Genomic signatures of selection associated with invasion and long-term balancing selection in native ranges were identified. These genomic signatures overlapped with expanded genes, suggesting improvements in the oxidative stress and thermal tolerance of C. ciliata. These findings offer valuable insights into the genomic architecture and adaptive evolution underlying the invasive capabilities of species during rapid environmental changes.
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The transcription factor Doublesex (DSX) orchestrates insect sex differentiation. DSX affects Drosophila melanogaster male and female transcriptome, yet how DSX regulates gene expression in other species is poorly understood. We investigated sex-biased gene expression during the development of the parasitoid wasp Nasonia vitripennis, finding that more than three-quarters of its genes are sex-biased in at least one developmental point. Next, we transiently knocked down dsx expression to infer its role in sex-specific transcriptome regulation, revealing thousands of affected genes in males and a more subtle effect in females. Finally, we performed an in vitro DNA-protein interaction assay to identify DSX binding sites on the genome and primary DSX target genes. By integrating these three datasets, we defined DSX's regulatory function for all genes in N. vitripennis, revealing that DSX acts mainly in males as both an activator and a repressor. This male-centric model for DSX-mediated regulation is likely to apply to many other insect species.
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Thanks to the fast development of sequencing techniques and bioinformatics tools, sequencing the genome of an insect species for specific research purposes has become an increasingly popular practice. Insect genomes not only provide sets of gene sequences but also represent a change in focus from reductionism to systemic biology in the field of entomology. Using insect genomes, researchers are able to identify and study the functions of all members of a gene family, pathway, or gene network associated with a trait of interest. Comparative genomics studies provide new insights into insect evolution, addressing long-lasting controversies in taxonomy. It is also now feasible to uncover the genetic basis of important traits by identifying variants using genome resequencing data of individual insects, followed by genome-wide association analysis. Here, we review the current progress in insect genome sequencing projects and the application of insect genomes in uncovering the phylogenetic relationships between insects and unraveling the mechanisms of important life-history traits. We also summarize the challenges in genome data sharing and possible solutions. Finally, we provide guidance for fully and deeply mining insect genome data.
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Avian feather lice (Phthiraptera: Ischnocera) have undergone morphological diversification into ecomorphs based on how they escape host preening defences. Parrot lice are one prominent example of this phenomenon, with wing, body, or head louse ecomorphs occurring on various groups of parrots. Currently defined genera of parrot lice typically correspond to this ecomorphological variation. Here we explore the phylogenetic relationships among parrot feather lice by sequencing whole genomes and assembling a target set of 2395 nuclear protein coding genes. Phylogenetic trees based on concatenated and coalescent analyses of these data reveal highly supported trees with strong agreement between methods of analysis. These trees reveal that parrot feather lice fall into two separate clades that form a grade with respect to the Brueelia-complex. All parrot louse genera sampled by more than one species were recovered as monophyletic. The evolutionary relationships among these lice showed evidence of strong biogeographic signal, which may also be related to the relationships among their hosts.
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Heteroptera, the true bugs, are part of the largest clade of non-holometabolous insects, the Hemiptera, and include > 42 000 described species in about 90 families. Despite progress in resolving phylogenetic relationships between and within infraorders since the first combined morphological and molecular analysis published in 1993 (29 taxa, 669 bp, 31 morphological characters), recent hypotheses have relied entirely on molecular data. Weakly supported nodes along the backbone of Heteroptera made these published phylogenies unsuitable for investigations into the evolution of habitats and lifestyles across true bugs. Here we present the first combined morphological and molecular analyses of Heteroptera since 1993, using 135 taxa in 60 families, 4018 aligned bp of ribosomal DNA and 81 morphological characters, and various analytical approaches. The sister-group relationship of the predominantly aquatic Nepomorpha with all remaining Heteroptera is supported in all analyses, and a clade formed by Enicocephalomorpha, Dipsocoromorpha and Gerromorpha in some. All analyses recover Leptopodomorpha + (Cimicomorpha + Pentatomomorpha), mostly with high support. Parsimony- and likelihood-based ancestral state reconstructions of habitats and lifestyles on the combined likelihood phylogeny provide new insights into the evolution of true bugs. The results indicate that aquatic and semi-aquatic true bugs invaded these habitats three times independently from terrestrial habitats in contrast to a recent hypothesis. They further suggest that the most recent common ancestor of Heteroptera was predacious, and that the two large predominantly phytophagous clades (Trichophora and Miroidea) are likely to have derived independently from predatory ancestors. We conclude that by combining morphological and molecular data and employing various analytical methods our analyses have converged on a relatively well-supported hypothesis of heteropteran infraordinal relationships that now requires further testing using phylogenomic and more extensive morphological datasets.
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The phylogeny of true bugs (Hemiptera: Heteroptera), one of the most diverse insect groups in terms of morphology and ecology, has been the focus of attention for decades with respect to several deep nodes between the suborders of Hemiptera and the infraorders of Heteroptera. Here, we assembled a phylogenomic data set of 53 taxa and 3102 orthologous genes to investigate the phylogeny of Hemiptera–Heteroptera, and both concatenation and coalescent methods were used. A binode-control approach for data filtering was introduced to reduce the incongruence between different genes, which can improve the performance of phylogenetic reconstruction. Both hypotheses (Coleorrhyncha + Heteroptera) and (Coleorrhyncha + Auchenorrhyncha) received support from various analyses, in which the former is more consistent with the morphological evidence. Based on a divergence time estimation performed on genes with a strong phylogenetic signal, the origin of true bugs was dated to 290–268 Ma in the Permian, the time in Earth's history with the highest concentration of atmospheric oxygen. During this time interval, at least 1007 apomorphic amino acids were retained in the common ancestor of the extant true bugs. These molecular apomorphies are located in 553 orthologous genes, which suggests the common ancestor of the extant true bugs may have experienced large-scale evolution at the genome level.
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A data set comprising DNA sequences from 388 loci and >99,000 aligned nucleotide positions, generated using anchored hybrid enrichment, was used to estimate relationships among 138 leafhoppers and treehoppers representative of all major lineages of Membracoidea, the most diverse superfamily of hemipteran insects. Phylogenetic analysis of the concatenated nucleotide sequence data set using maximum likelihood produced a tree with most branches receiving high support. A separate coalescent gene tree analysis of the same data generally recovered the same strongly supported clades but was less well resolved overall. Several nodes pertaining to relationships among leafhopper subfamilies currently recognized based on morphological criteria were separated by short internodes and received low support. Although various higher taxa were corroborated with improved branch support, relationships among some major lineages of Membracoidea are only somewhat more resolved than previously published phylogenies based on single gene regions or morphology. In agreement with previous studies, the present results indicate that leafhoppers (Cicadellidae) are paraphyletic with respect to the three recognized families of treehoppers (Aetalionidae, Melizoderidae, and Membracidae). Divergence time estimates indicate that most of the poorly resolved divergence events among major leafhopper lineages occurred during the lower to middle Cretaceous and that most modern leafhopper subfamilies, as well as the lineage comprising the three recognized families of treehoppers, also arose during the Cretaceous.
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Hemiptera, the largest non-holometabolous order of insects, represents approximately 7% of metazoan diversity. With extraordinary life histories and highly specialized morphological adaptations, hemipterans have exploited diverse habitats and food sources through approximately 300 Myr of evolution. To elucidate the phylogeny and evolutionary history of Hemiptera, we carried out the most comprehensive mitogenomics analysis on the richest taxon sampling to date covering all the suborders and infra-orders, including 34 newly sequenced and 94 published mitogenomes. With optimized branch length and sequence heterogeneity, Bayesian analyses using a site-heterogeneous mixture model resolved the higher-level hemi-pteran phylogeny as (Sternorrhyncha, (Auchenorrhyncha, (Coleorrhyncha, Heteroptera))). Ancestral character state reconstruction and divergence time estimation suggest that the success of true bugs (Heteroptera) is probably due to angiosperm coevolution, but key adaptive innovations (e.g. prog-nathous mouthpart, predatory behaviour, and haemelytron) facilitated multiple independent shifts among diverse feeding habits and multiple independent colonizations of aquatic habitats.
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Phylogenomic studies have resolved countless branches of the tree of life, but remain strongly contradictory on certain, contentious relationships. Here, we use a maximum likelihood framework to quantify the distribution of phylogenetic signal among genes and sites for 17 contentious branches and 6 well-established control branches in plant, animal and fungal phylogenomic data matrices. We find that resolution in some of these 17 branches rests on a single gene or a few sites, and that removal of a single gene in concatenation analyses or a single site from every gene in coalescence-based analyses diminishes support and can alter the inferred topology. These results suggest that tiny subsets of very large data matrices drive the resolution of specific internodes, providing a dissection of the distribution of support and observed incongruence in phylogenomic analyses. We submit that quantifying the distribution of phylogenetic signal in phylogenomic data is essential for evaluating whether branches, especially contentious ones, are truly resolved. Finally, we offer one detailed example of such an evaluation for the controversy regarding the earliest-branching metazoan phylum, for which examination of the distributions of gene-wise and site-wise phylogenetic signal across eight data matrices consistently supports ctenophores as the sister group to all other metazoans.
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Background: Orthology characterizes genes of different organisms that arose from a single ancestral gene via speciation, in contrast to paralogy, which is assigned to genes that arose via gene duplication. An accurate orthology assignment is a crucial step for comparative genomic studies. Orthologous genes in two organisms can be identified by applying a so-called reciprocal search strategy, given that complete information of the organisms' gene repertoire is available. In many investigations, however, only a fraction of the gene content of the organisms under study is examined (e.g., RNA sequencing). Here, identification of orthologous nucleotide or amino acid sequences can be achieved using a graph-based approach that maps nucleotide sequences to genes of known orthology. Existing implementations of this approach, however, suffer from algorithmic issues that may cause problems in downstream analyses. Results: We present a new software pipeline, Orthograph, that addresses and solves the above problems and implements useful features for a wide range of comparative genomic and transcriptomic analyses. Orthograph applies a best reciprocal hit search strategy using profile hidden Markov models and maps nucleotide sequences to the globally best matching cluster of orthologous genes, thus enabling researchers to conveniently and reliably delineate orthologs and paralogs from transcriptomic and genomic sequence data. We demonstrate the performance of our approach on de novo-sequenced and assembled transcript libraries of 24 species of apoid wasps (Hymenoptera: Aculeata) as well as on published genomic datasets. Conclusion: With Orthograph, we implemented a best reciprocal hit approach to reference-based orthology prediction for coding nucleotide sequences such as RNAseq data. Orthograph is flexible, easy to use, open source and freely available at https://mptrsen.github.io/Orthograph. Additionally, we release 24 de novo-sequenced and assembled transcript libraries of apoid wasp species.
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Understanding evolutionary relationships in the superfamily Psylloidea is challenging due to the lack of clear morphological synapomorphies for many groups. Some families and many of the genera, including the two largest, Cacopsylla Ossiannilsson and Trioza Foerster, have long been acknowledged as nonmonophyletic and the circumscription of natural groups has remained fluid. We present the best phylogenetic hypothesis to date for Psylloidea and provide a working systematic framework to better reflect evolutionary relationships. A shotgun sequencing approach using mixed pool DNAs for more than 400 species resulted in recovery from de novo assemblies of near‐complete mitogenomes (≥10 kb) for 359 species, and partial genomes (5–10 kb) for an additional 40 species. The resulting phylogeny improves and clarifies the family classification and resolves some of the longstanding uncertainties in relationships within and between genera. A whole‐nuclear‐genome scan approach (yielding data from an estimated 373 nuclear genes) using the anchored hybrid enrichment method for a representative subset of taxa confirms the placement of major groupings and overall tree topology recovered with the mitochondrial data. The data generated represent a major increase in molecular resources for this superfamily. In addition, we highlight areas of remaining uncertainty that require further sampling and/or additional sources of data. The phylogeny provides new insights for both evolutionary and applied research, and a backbone constraint tree allows the placement of taxa of particular interest or concern (e.g. pest taxa) with only small fragments of sequence available (e.g. DNA barcodes).
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The mitochondrial genome arrangement in the insect order Psocodea (booklice, barklice, and parasitic lice) is extremely variable. Genome organization ranges from the rearrangement of a few tRNAs and protein coding genes, through extensive tRNA and protein coding gene rearrangements, to subdivision into multiple mini-chromosomes. Evolution of the extremely modified mitochondrial genome in parasitic lice (Phthiraptera) has been the subject of several studies, but limited information is available regarding the mitochondrial genome organization of the more plesiomorphic, free-living Psocodea (formerly known as the "Psocoptera"). In particular, the ancestral state of the psocodean mitochondrial genome arrangement and the evolutionary pathway to the rearranged conditions are still unknown. In this study, we addressed mitochondrial evolutionary questions within the Psocodea by using mitochondrial genome sequences obtained from a wide range of Psocoptera, covering all three suborders. We identified seven types of mitochondrial genome arrangements in Psocoptera, including the first example in Psocodea of retention of the ancestral pancrustacean condition in Prionoglaris (Prionoglarididae). Two methods (condition-based parsimony reconstruction and common-interval genome distances) were applied to estimate the ancestral mitochondrial arrangement in Psocodea, and both provided concordant results. Specifically, the common ancestor of Psocodea retained the ancestral pancrustacean condition, and most of the gene arrangement types have originated independently from this ancestral condition. We also utilized the genomic data for phylogenetic estimation. The tree estimated from the mitochondrial genomic data was well resolved, strongly supported, and in agreement with previously estimated phylogenies. It also provided the first robust support for the family Prionoglarididae, as its monophyly was uncertain in previous morphological and molecular studies.
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The phylogenetic placement of the moss bugs (Insecta: Hemiptera: Coleorrhyncha) has been highly controversial. Many apparent morphological apomorphies support the close relationship between Coleorrhyncha and Heteroptera (=true bugs). However, a recent phylogenomic study strongly supported a sister group relationship between Coleorrhyncha and Auchenorrhyncha (planthoppers, leafhoppers, treehoppers, spittlebugs, and cicadas). To test these two alternative hypotheses, we examined the fore- and hindwing base structure of the only known extant macropterous species of Coleorrhyncha using binocular and confocal laser scanning microscopes and analyzed the data selected from the wing base phylogenetically. When full morphological data including the wing base characters were analyzed, the sister group relationship between Coleorrhyncha + Heteroptera was supported, agreeing with previous consensus based on morphology. In contrast, when only wing base characters were analyzed separately, the clade Coleorrhyncha + Auchenorrhyncha was recovered, in agreement with the result from the phylogenomic study. The membranous condition of the proximal median plate in the forewing was identified as a potential synapomorphy of the latter grouping, and the absence of the tegula was excluded as a potential synapomorphy of Coleorrhyncha and Heteroptera.
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Hymenoptera (sawflies, wasps, ants, and bees) are one of four mega-diverse insect orders, comprising more than 153,000 described and possibly up to one million undescribed extant species. As parasitoids, predators, and pollinators, Hymenoptera play a fundamental role in virtually all terrestrial ecosystems and are of substantial economic importance. To understand the diversification and key evolutionary transitions of Hymenoptera, most notably from phytophagy to parasitoidism and predation (and vice versa) and from solitary to eusocial life, we inferred the phylogeny and divergence times of all major lineages of Hymenoptera by analyzing 3,256 protein-coding genes in 173 insect species. Our analyses suggest that extant Hymenoptera started to diversify around 281 million years ago (mya). The primarily ectophytophagous sawflies are found to be monophyletic. The species-rich lineages of parasitoid wasps constitute a monophyletic group as well. The little-known, species-poor Trigonaloidea are identified as the sister group of the stinging wasps (Aculeata). Finally, we located the evolutionary root of bees within the apoid wasp family "Crabronidae." Our results reveal that the extant sawfly diversity is largely the result of a previously unrecognized major radiation of phytophagous Hymenoptera that did not lead to wood-dwelling and parasitoidism. They also confirm that all primarily parasitoid wasps are descendants of a single endophytic parasitoid ancestor that lived around 247 mya. Our findings provide the basis for a natural classification of Hymenoptera and allow for future comparative analyses of Hymenoptera, including their genomes, morphology, venoms, and parasitoid and eusocial life styles.