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ARTICLE
The genome of the glasshouse plant noble rhubarb
(Rheum nobile) provides a window into alpine
adaptation
Tao Feng 1,2,3,9, Boas Pucker 4,5,6,9, Tianhui Kuang2,9, Bo Song2,9, Ya Yang 7, Nan Lin1,3,
Huajie Zhang 1,3, Michael J. Moore 8, Samuel F. Brockington 4, Qingfeng Wang 1,3, Tao Deng2✉,
Hengchang Wang 1,3✉& Hang Sun 2✉
Glasshouse plants are species that trap warmth via specialized morphology and physiology,
mimicking a human glasshouse. In the Himalayan alpine region, the highly specialized glass-
house morphology has independently evolved in distinct lineages to adapt to intensive UV
radiation and low temperature. Here we demonstrate that the glasshouse structure –specialized
cauline leaves –is highly effective in absorbing UV light but transmitting visible and infrared light,
creating an optimal microclimate for the development of reproductive organs. We reveal
that this glasshouse syndrome has evolved at least three times independently in the rhubarb
genus Rheum. We report the genome sequence of the flagship glasshouse plant Rheum nobile
and identify key genetic network modules in association with the morphological transition to
specialized glasshouse leaves, including active secondary cell wall biogenesis, upregulated
cuticular cutin biosynthesis, and suppression of photosynthesis and terpenoid biosynthesis. The
distinct cell wall organization and cuticle development might be important for the specialized
optical property of glasshouse leaves. We also find that the expansion of LTRs has likely played
an important role in noble rhubarb adaptation to high elevation environments. Our study will
enable additional comparative analyses to identify the genetic basis underlying the convergent
occurrence of glasshouse syndrome.
https://doi.org/10.1038/s42003-023-05044-1 OPEN
1CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074,
China. 2CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan
650201, China. 3Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan, Hubei 430074, China. 4Department of Plant
Sciences, University of Cambridge, Tennis Court Road, Cambridge CB2 3EA, UK. 5CeBiTec & Faculty of Biology, Bielefeld University, Universitaetsstrasse,
Bielefeld 33615, Germany. 6Institute of Plant Biology & BRICS, TU Braunschweig, 38106 Braunschweig, Germany. 7Department of Plant and Microbial Biology,
University of Minnesota, Twin Cities, St. Paul, MN 55108, USA. 8Department of Biology, Oberlin College, Oberlin, OH 44074, USA.
9
These authors contributed
equally: Tao Feng, Boas Pucker, Tianhui Kuang, Bo Song. ✉email: dengtao@mail.kib.ac.cn;hcwang@wbgcas.cn;sunhang@mail.kib.ac.cn
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Tertiary and Quaternary uplift of mountains has exposed
organisms to demanding alpine conditions and accelerated
the evolution of alpine biotas1,2. Plants have responded to
harsh alpine environments with a high degree of specialization1,3,
leading to diverse life forms including cushion plants, giant
rosettes and succulents3. In Himalayan regions, the world’s most
species-rich temperate alpine zone, specialized morphologies have
evolved in response to hostile environmental conditions including
low temperature, high solar radiation, strong winds and a short
growing season1. Specialized morphologies include woolly plants
(plants covered by dense woolly hairs), nodding plants (plants
with flowers facing the ground) and glasshouse plants. Glasshouse
plants are perhaps the most striking, with inflorescences sheltered
by semi-translucent leaves that create a warmer interior and can
be compared to the glass in a greenhouse4–6. The most prominent
Himalayan alpine plant is noble rhubarb [Rheum nobile Hook.f.
& Thomson, Polygonaceae)], which is the flagship glasshouse
plant adapted to high elevations (>4000 m)7.
In contrast to sympatric competitors that generally are dwarf or
prostrate, noble rhubarb grows to heights of up to 2 m when in
flowering, making it highly conspicuous in the alpine region. The
remarkable glasshouse-like morphology was assumed to be essen-
tial for the plants to cope with low temperature and strong UV
radiation at high elevation8–10. This adaptive trait has also been
found to be important for the mutualism between the plants and
the pollinating seed-consuming Bradysia fungus gnats, providing
shelter for adult oviposition and larva development11–13.
Elucidating the genetic basis of adaptive traits is a central goal of
evolutionary genetics14. Genomic modification associated with
adaptation to high elevations has been well documented in
animals15 but has been less explored in plants relative to the high
diversity of alpine flora. But as iconic plants of the alpine landscape,
glasshouse plants have become the focus of greater ecological and
evolutionary interests8,10,12,13,16–19. Studies on the ecological
function of the specialized structures of alpine plants, such as
cushion-like leaf canopy20–23, hairy leaves and inflorescences24–26,
leafy bracts8,12,13, and nodding capitula27,28 have revealed that
these traits are particularly efficient in heat-trapping. For example,
the temperature within the leaf canopy of the cushion plant Silene
acaulis (L.) Jacq. is typically 15 °C higher than the ambient tem-
perature during clear summer days20. Such thermal benefits are
essential for growth, development, metabolism and reproduction of
plants that inhabit the consistently cold, windy environments of
alpine regions25. In addition, the downward orientation of flowers
and glasshouse-like leaves are assumed to be helpful in protecting
the sensitive reproductive parts from UV radiation and frequent
storms10,12,13,27–29. Despite great progress toward understanding
the functional ecology of these extremophiles, the genetic basis
facilitating their fascinating adaptation is poorly understood, owing
to the lack of genomic information.
Here, we report the genome sequence of the flagship glasshouse
plant noble rhubarb and integrate comparative genomic, tran-
scriptomic, and phytochemical data to provide insights into the
evolution of glasshouse morphology. We show that the glasshouse
leaves function as solar radiation filters that absorb UV light to
provide photoprotection for reproductive organs, and reveal that
this adaptive morphological syndrome has cryptically evolved in
at least three lineages in rhubarb. By deciphering the transition
pattern of the glasshouse syndrome, both in morphology and in
transcriptomic profiles, we identified key genetic network mod-
ules underlying the developmental differentiation of glasshouse
leaves from normal leaves. The data presented in this study lay
the foundation for further deciphering the genetic mechanisms
underlying the origin and evolution of glasshouse morphology.
Results
Multiple origins of the glasshouse syndrome in Rheum L.
Glasshouse plants are unique in the Eastern Asian alpine biome
and are recorded in several phylogenetically distant plant taxa,
including the flowering plant families Lamiaceae, Asteraceae,
and Polygonaceae (Fig. 1a). The most notable glasshouse-like
morphology is found in Rheum L. (Polygonaceae), such as noble
rhubarb, a wild relative of commercial rhubarb. Noble rhubarb is
commonly named yellow tower in Chinese because the yellowish
leaves are reflexed and form a compact tower-like structure
ab
5 0 25 0 (mya)
R. officinale
R. franzenbachii
R. alexandrae pop3
R. palmatum
R. nobile pop2
R. nobile pop1
R. forestii
R. alexandrae pop2
R. alexandrae pop1
R. rhabarbarum
R. kialense
R. delavayi
R. tanguticum
R. pumilum
R. moorcroftianum
R. rhomboideum
R. acuminatum
Oxyria sinensis
Oxyria digyna
Rumex acetosa
Rumex hastatulus
Rumex palustris
0.77
0.84
1
1
1
1
0.73
0.89
1
0.82
1
0.90
1
1
1
1
1
1
1
1
1
Fig. 1 Glasshouse plant morphology and its evolution in Rheum.aRepresentatives of glasshouse plants. A–C: Rheum nobile,R. alexandrae var. 1 and R.
alexandrae var. 2 (Polygonaceae). D, E: Ajuga lupulina var. lupulina and A. lupulina var. major (Lamiaceae). F–G: Saussurea obvallata,S. involucrata and S.
velutina (Asteraceae). bPhylogeny of Rheum estimated from 132 orthologs using coalescent method with local posterior probabilities shown in node. The
glasshouse lineages are labeled in red. Node bars represent 95% highest posterior densities (HPD) of divergence time estimated using MCMCTree.
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covering the sensitive reproductive organs (Fig. 1a). Of the
60 species described in Rheum, two glasshouse plant species, R.
nobile and R. alexandrae, have been recorded7. To track the origin
and evolution of the glasshouse syndrome in Rheum, six newly
generated transcriptomes together with 16 publicly available tran-
scriptomes covering four of the six sections of Rheum were used in
phylogenomic reconstruction (Supplementary Data 1). Previous
phylogenetic analyses30 using a few cpDNA fragments failed to
resolve the deep phylogenetic relations within Rheum. Our phy-
logenomic analysis with 132 genes generated a high-quality phy-
logeny of Rheum (Fig. 1b). R. nobile was sister to the rest of Rheum
sampled, while the accessions of R. alexandrae were polyphyletic
and recovered in two different clades that contain non-glasshouse
species (Fig. 1b). R. alexandrae is widely distributed in the
Hengduan mountain region, and only a single accession has been
included in previous molecular phylogenies30,31. Given the
remarkable morphological divergence (Fig. 1a: B, C), and the
polyphylogeny of R. alexandrae revealed here, a third, previously
unrecognized origin of glasshouse syndrome is plausible. Further
analysis including more populations and closely related species
is needed to clarify the circumscription of R. alexandrae.In
addition, the densitree of Rheum generated from 187 single-copy
genes showed reticulated relationships among some lineages
(Supplementary Fig. 1). Nonetheless, at least three independent
origins of the glasshouse syndrome in Rheum are inferred based on
the sampling and phylogeny presented here.
The noble rhubarb glasshouse is highly effective in blocking
UV but transmits visible and infrared light. The glasshouse
structure is composed of specialized cauline leaves which are
termed as bracts (used to represent the yellowish glasshouse leaves
hereafter) (Fig. 2a). By directly measuring the reflectance and
transmittance spectra of fresh tissues in the wild using a spectro-
photometer equipped with an integrating sphere (Supplementary
Fig. 2), we demonstrated that the semi-translucent bracts of noble
rhubarb can block >95% UV radiation (250–400 nm) while
transmitting 60–80% visible and infrared light (>400 nm) (Fig. 2b,
Supplementary Figs. 3, 4). In contrast, the green leaves effectively
block both UV light and most visible light (Fig. 2b, Supplementary
Fig. 4). T-test show that the light transmission rate in visible range
(400–750 nm) is significantly higher in bracts than in leaves
(p< 0.01). Our results revealed that the bract is more effective as a
light filter than previously assumed8,10, probably because we used
the fresh tissue for measurements and we used scattered light that
more closely resembles natural conditions. However, our limited
sampling limits any insight into variation among individual plants.
Further measurements in population level are needed to explicitly
characterize the natural variation in glasshouse morphology. In
addition, both bracts and leaves reflected a negligible proportion of
UV radiation (Supplementary Fig. 4), indicating that the UV light
was largely absorbed by the tissue rather than being reflected. UV
radiation is intense at high elevations and can cause pollen mal-
formation and reproductive sterility32. It is plausible that this
spectral characteristic of the bracts may generate a favorable
microclimate for the reproductive organs to develop.
In addition to UV radiation, we further evaluated this
microclimate hypothesis by measuring changes of temperature in
the ambient environment versus inside the leafy glasshouse at a
48 h interval during the growth season in the field. During the
daytime (08:00–20:00), the internal temperature was constantly
higher than the external temperature and reached as high as 25 °C
around noon, while the ambient temperature was lower than 15 °C
at the same time (Fig. 2c). An optimal flower temperature has been
shown to be crucial for plant reproduction33, as temperature
mediates flower development, pollen viability and pollen tube
growth, and influences pollinating insect activity. Our previous
control experiments found that the reproductive fitness of noble
rhubarb significantly decreased when the bracts were removed13.
These observations indicate that the glasshouse morphology is an
important adaptive trait for alpine environments.
It has been widely acknowledged that flavonoids can function
as photoprotection molecules for land plants because of their
high efficiency in scavenging UV-induced reactive oxygen
species. To explore how flavonoids function in noble rhubarb
in resistance to UV radiation, we examined flavonoid content
in five different organs (bract, leaf, stem, fruit and root).
Using high performance liquid chromatography (HPLC), we
isolated five UV-absorbing compounds from noble rhubarb
organs (Fig. 2d, Supplementary Fig. 5). On the basis of the mass
spectra and co-chromatography with an authentic standard, the
compound was identified as quercetin 3-O-rutinoside (C1),
quercetin 3-O-glucoside (C2), quercetin-3-O-galactoside (C3),
quercetin 3-O-arabinopyranoside (C4,) and quercetin 3-O-[6´´-
(3-hydroxy-3-methylglutaroyl)-glucoside] (C5) (Supplementary
Figs. 6–10). All these UV-absorbing substances were quercetin-
based glycosides, a subclade of flavonols that have been
considered as photoprotective compounds for plants because
of their UV-absorbing characteristics34,35. It is notable that, in
addition to bracts, the leaves also accumulate large amounts
of flavonols, while the other organs (stem, fruit and root)
contain only traces of them (Fig. 2d, e). Leaves and bracts
contain comparative levels of flavonoids as a whole, while bracts
are specialized by losing quercetin 3-O-glucoside and quercetin
3-O-arabinopyranoside (Fig. 2d, e).
Following a phylogenetic approach, we identified putative
noble rhubarb genes that encode the enzymes in the flavonoid
biosynthesis pathway and characterized their expression profile
using transcriptome data. Notably, chalcone synthase (CHS),
which encodes the enzyme that directs phenylpropanoid meta-
bolic flux to the flavonoid pathway, is expanded to 5 members
(Supplementary Fig. 11). Some of these CHS copies display tissue-
specific expression patterns. Consistent with our observation that
quercetin-derived flavonols are the major UV-absorbing sub-
stances accumulated in bracts and leaves, at least one copy of
the key gene flavonol synthase (FLS, Rn_tig2787.230) is highly
expressed in bracts and leaves but is scarcely expressed elsewhere
(Supplementary Fig. 11). In addition, the flavone synthase gene
(FNS, Rn_tig2803.307) which competes with flavanone-3-
hydroxylase (F3H) for the substrate to produce flavones, is not
expressed in mature plants (Supplementary Fig. 11).
Sequencing, assembly and annotation of the noble rhubarb
genome. We generated 116.35 Gb PacBio long reads (78× coverage)
and 155.4 Gb (105× coverage) cleaned Illumina short reads for
noble rhubarb (Supplementary Data 2). Long reads were used for de
novo assembly, which was corrected and polished with short reads
(the full assembly pipeline is shown in Supplementary Fig. 12),
resulting in a 1.36 Gb draft genome sequence with a contig N50 of
9.8 Mb (Fig. 3a). The draft genome sequence comprises 245 contigs
and accounts for 94% of the genome size of about 1.48Gb as esti-
mated by k-mer distribution with high frequency k-mer (>1k)
excluded (Supplementary Fig. 13). BUSCO assessment recovered
94.5% complete genes from the assembly (BUSCO v5.1.2 with
eudicotyledons_odb10 database, Supplementary Fig. 14), and the
Merqury36 kmer plot (Supplementary Fig. 15) shows a main single
peak which corresponds to a haploid assembly. These results attest
to the completeness of the noble rhubarb genome sequence
(Table 1, Supplementary Data 2). Using a combination of ab initio
and hint-based methods (Supplementary Fig. 16), 58,950 high
confidence gene models were predicted.
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Ks plots of homologous colinear gene pairs revealed a main peak
at 0.73 in R. nobile (Fig. 3b, Supplementary Fig. 17a). To
characterize this potential genome polyploidization event, we
further performed Ks calculations for Fagopyrum tataricum
paralogous gene pairs and R. nobile-F. tataricum orthologous gene
pairs. A similar Ks peak was also observed for F. tataricum paralogs
and the mean Ks value for the R. nobile-F. tataricum orthologs
is 0.48 (Fig. 3b). The divergence time for R. nobile-F. tataricum is
around 45 mya37, thusthe age of the polyploidization (Ks =0.73) is
68.43 mya (T =Ks/2μ). Therefore, the polyploidy event is shared
by both R. nobile and F. tataricum. F. tataricum and R. nobile are
both from the buckwheat family Polygonaceae, which have an
ancient genome polyploidization based on both Ks and gene tree
approaches (Supplementary Fig. 17b). We then examined the
syntenic depth of genic blocks between R. nobile/F. tataricum and
beet (Beta vulgaris) that lacks genome polyploidization after the
core-eudicots shared gamma event38. The syntenic pattern 1-1
(20%), 1-2 (23%), 1-3 (20%) or 1-4 (12%) was observed in
B.vulgaris-R.nobile comparison, similar to the ratio in B.vulgaris-F.
tataricum comparison (Supplementary Fig. 18). Thus, WGT and
24:00 06:00 12:00 18:00 24:00 06:00 12:00 18:00 24:00
a
c
b
Temperture (oC)
30
25
20
15
10
5
Time
glasshouse
ambient
de
6.98 1.86
59.90
68.31 70.85 72.49
8.40
5.19 4.56
19.94
6.03
52.59
250
Transmittance (%)
Wavelength (nm)
0
20
40
60
80
bract
leaf
350 450*** 550*** 650*** 750***
12 14 16 18 20 22 24 26 28 30 32
Bract
Leaf
Stem
Fruit
Root
Retention Time (min)
Absorbance at 350 nm
s1 2 3 4 5
Flavonol glycosides
Content (mg/g)
1 2 3 4 5 1 2 3 4 5 1 2 3 4 5
bract
leaf
stem
25
20
15
10
5
0
1 cm
Fig. 2 The translucent leaves in the noble rhubarb function as glasshouse. a A mature noble rhubarb plant in the Hengduan Mountains (N28.53°,
E99.95°; Elev. 4500 m) with insert showing a morphological comparison between a photosynthetic basal leaf and a translucent leaf. bSpectral
characteristics of bracts and leaves in light transmittance, showing the different patterns of light transmittance by bracts and leaves. Significance was
statistically tested at six wavelengths (250–750 nm) using Ttest (n=3 biologically independent samples; ***p< 0.001). cTemperature change inside and
outside of the inflorescence glasshouse in a 48 h interval at mid-August in the eastern Himalayas (N29.40°, E94.90°; Elev. 4200 m). dThe HPLC
spectrum of UV-absorbing substances extracted from five tissue types; s: the flavonol standard isovitexin; 1–5: the compounds isolated from tissues. eThe
contents of the five flavonol species isolated from noble rhubarb tissues. Fruits and roots only contained traces of the flavonols and are not shown. In
boxplots, the center, lower, and upper lines depict the median, 25th, and 75th percentile respectively, and whiskers represent maxima and minima.
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WGD cannot be distinguished based on this data. Nonetheless,
these data indicated that both R. nobile and F. tataricum genomes
have both undergone substantial genome fragmentation after the
early Polygonaceae polyploidization event. This is further sup-
ported by the overall genome synteny between B. vulgaris, R. nobile
and F. tataricum (Supplementary Fig. 19).
In context of the evolution of the Caryophyllales (Supplementary
Data 3), we examined gene family expansion/contraction in noble
rhubarb. We identified 244 gene families that are significantly
expanded in noble rhubarb (Fig. 3c). We then performed Gene
Ontology (GO) enrichment analysis to explore functions associated
with these expanded gene families. The expanded gene families are
enriched significantly in 46 GO terms including response to cold,
DNA repair, and regulation of protein stability (Fig. 3d). Among
these, several GO terms are of particular interest regarding alpine
adaptation (Supplementary Data 4). The first is “response to cold”
Drosera spatulata
Aldrovanda vesiculosa
Fagopyrum tataricum
Rheum nobile
Spinacia oleracea
Chenopodium quinoa
Beta vulgaris
Amaranthus hypochondriacus
Simmondsia chinensis
100 80 60 40 20 0 (Mya)
+72 -5
+50 -37
+90 -160
+244 -24
+49
-89
+391
-18
+49
-89
+44
-48
+42 -14
Terpenoid backbone biosynthesis
Phenylpropanoid biosynthesis
Protein processing in endoplasmic reticulum
alpha−Linolenic acid metabolism
Endocytosis
Ether lipid metabolism
Biosynthesis of amino acids
Arachidonic acid metabolism
Carbon metabolism
Cyanoamino acid metabolism
Linoleic acid metabolism
Cysteine and methionine metabolism
Pentose and glucuronate interconversions
Carbon fixation in photosynthetic organisms
Pentose phosphate pathway
Ribosome biogenesis in eukaryotes
Nucleotide excision repair
DNA replication
Mismatch repair
Homologous recombination
0.0 0.1 0.2 0.3
genes
5
10
15
20
0.1
0.2
q value
inflorescence
meristem gr
o
wth
organrganganga ic cyic cycyic cyclic compound
metetabetabolic li pprocepss
nitrogen cn ccn compouuuundnn
metabolic
o
o
processs
organic suic sccbstanbbstbs ce
metabbbolic procecccss
riboflaaavin nnn
biosybiosybiosyyynnnthetnthenthenh ic prrocess
r
egulation of systemi
c
a
c
q
uired resistanc
e
lipid
t
r
a
ns
po
r
t
hetheterereeteree ocyclocyclcleeeeee
meetababee bolic ic iprprocepr sssssss
regulation of membrane
lipid distribution
−5
0
5
505−
semantic similarity
semantic similarity
−50
−40
−30
−20
−10
0
l
og
1
0
p
regul
ation o
f
m
e
r
i
stem
d
eve
l
opment
xylem and pholem
patteppp rn formation
response to cold
cellullar ar r nir trogen
compococo uuuund mu etabolism
protepppp in stabiliaty
DNA reeeepair
ab
c
d
rich factor
R. nobile - R. nobile
F. tartaricum - F. tartaricum
R. nobile - F. tartaricum
polyploidization
speciation
2.00
1.75
1.50
1.25
1.00
0.75
0.50
0.25
0.00
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0
Ks
The frequency of gene pairs
e
30
20
10
0
30
20
10
0
20
10
0
20
10
0
20
10
0
20
10
0
10
0
10
0
10
0
10
0
10
0
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10
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0
10
0
10
0
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0
10
0
10
0
10
0
I
II
III
IV
I: gene density
II: LTR-gypsy density
III: LTR-copia density
IV: CpG islands
Fig. 3 Genome architecture and gene family expansion and contraction. a Multi-dimensional display of genomic components of the noble rhubarb
genome. The density was calculated per 100 Kb. bFrequency distributions of synonymous substitution rates (Ks) between homologous gene pairs in
syntenic blocks of R. nobile-R. nobile,F. tataricum-F. tataricum and R. nobile-F. tataricum. Both species are members of the family Polygonaceae. cNumber of
significantly expanded (+) and contracted (-) gene families in nine Caryophyllales species with high-quality genome sequences available. dREVIGO
clusters of overrepresented GO terms for significantly expanded gene families in the noble rhubarb genome. Each bubble represents a summarized GO
term from the full GO list by reducing functional redundancies, and their closeness on the plot reflects their closeness in the GO graph, i.e. the semantic
similarity. eKEGG enrichment of metabolic genes that were significantly expanded in the noble rhubarb genome.
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(GO: 0009409, p=4.4e−9) which is self-explanatory. The second
is “regulation of membrane lipid composition”(GO: 0010876,
p=3.6e−15). Other significantly overrepresented GO categories
included inflorescence meristem growth (GO: 0010081, p=5e−10;
GO: 0099009, p=3.1e−4), regulation of protein stability (GO:
0031647, p=3.6e−2) and response to temperature stimulus (GO:
0009266, p=1.8e−4). Kyoto Encyclopedia of Genes and Genomes
(KEGG39) enrichment analyses revealed significant overrepresen-
tation of 18 pathways (Qvalue < 0.20 after multiple test correction,
Fig. 3e). The top four pathways enriched specifically in noble
rhubarb are all related to DNA repair (Fig. 3e). Other enriched
KEGG terms included linoleic acid metabolism, ether lipid
metabolism, and alpha-linolenic acid metabolism (Fig. 3e), all of
which are related to the biosynthesis of unsaturated fatty acids that
can increase cell membrane fluidity in response to cold stress40.
The noble rhubarb genome is rich in LTRs. A much higher
proportion of repetitive sequences was observed in noble rhubarb
(77.46%) than in F. tataricum (Tartary buckwheat, 50.96%; Sup-
plementary Fig. 20). Long terminal repeats (LTRs) are the most
abundant elements and account for 42.91%of rhubarb genome. To
investigate the evolutionary dynamics of LTRs in rhubarb, we re-
assembled and annotated the genome of Rumex hastatulus41 which
is in the sister genus to Rheum.TheRu. hastatulus genome has also
significantly expanded compared to F. tataricum, and repetitive
sequences make up 83.29%. Similarly, LTRs contribute most to the
genome expansion, accounting for 63.05% of Ru. hastatulus gen-
ome. Following the same procedure, 10619 and 18863 intact LTRs
were identified from R. nobile and Ru. hastatulus, respectively,
while only 775 were detected in Tartary buckwheat (Fig. 4a).
Analyzing the history of LTR insertions revealed distinct LTR
evolutionary dynamics among them. LTRs have proliferated in
R. nobile and Ru. hastatulus (Fig. 4a), however, the proliferations in
R. nobile peaked at ~1-2 Mya, while proliferation in Ru. hastatulus
was dominated by more recent LTR insertions within the past 0.8
Mya (Fig. 4a, b). In addition, Gypsy LTR is the main type in R.
nobile while Copia LTR dominates in Ru. hastatulus (Fig. 4a).
Further inspection of LTR proliferation identified stronger
association between LTRs and gene coding loci in R. nobile than
in Ru. hastatulus, with 37.8% of the total intact LTRs found
inserted near (<5 kb) the coding sequences in R. nobile, while the
proportion was 19.5% in Ru. hastatulus (Fig. 4c). A closer look at
the insertions indicated that the insertions were enriched at the
flanking sequences of genes (<1 kb) in the R. nobile but not in Ru.
hastatulus (Fig. 4d). The enrichments observed in glasshouse
plants could be the results of insertion preference of TEs, as was
observed in rice42.
To test this hypothesis, we then analyzed the solo LTRs, which
are the remnants of intact LTRs by LTR removal mediated by
interelement recombination. Large amounts of solo LTRs (>100 k)
were identified in both species (Supplementary Fig. 21), indicating
high frequency and efficiency of LTR removal in addition to active
LTR amplification. These solo LTRs were distributed evenly on
chromosomes in terms of their association with genes (Supple-
mentary Fig. 22), suggesting that the insertion of LTRs was
random, without preference to genic region in both species.
To test the functional consequences of LTR insertion on genome-
wide gene expression profile, we focused on the gene pairs that are
derived from recent gene duplications (Ks <0.5) (Supplementary
Fig. 16) and analyzed the gene expression divergence and tissue
specificity. The pairs that had LTR insertions in <1 kb flanking
region had significantly higher levels of divergence in expression
(Fig. 4e), although not in tissue specificity (Fig. 4f).
Transcriptomic profile of transition from green leaf to glass-
house bract in noble rhubarb. A main goal of this research is to
decipher the genetic basis of the glasshouse morphology. We
focus on the differentiation of the glasshouse bracts from normal
leaves using a comparative transcriptomic approach. There are
developmental intermediates between green leaves and yellowish
bracts (Fig. 5a, b), and the glasshouse-like phenotype starts from
where there are flowers and is gradually enhanced upward. We
defined the transition from green leaves to glasshouse bracts into
three zones: zone 1) from the base of the plant to the base of the
raceme, where inflorescences start to develop (Fig. 5b, top); zone
2: from the base of the raceme to where the glasshouse bracts
develop; leaves in this zone are green at the base and yellow at the
apex (Fig. 5b, middle); and zone 3: the upper section of the plant,
where bracts are uniformly yellow (Fig. 5b, bottom). Based on our
definition of the transition, we generated transcriptomes from all
transition points (S0,1,2,3). The overall expression profiles of the
transitions were distinct between each pair, with S2 being close to
S3 (Supplementary Fig. 23). Using the basal green leaves (S0) as a
comparison, 1849, 2102, and 2635 significantly differentially
expressed genes (DEGs, P< 0.05, |log
2
(fold change)| > 1) at the
transition point S1, S2 and S3 were identified, among which 559,
685, and 1045 were upregulated and 1290, 1417, and 1590 were
downregulated (Fig. 5c).
To identify the genetic modules that are associated with the
morphological transition from green leaves to glasshouse bracts,
we performed GO/KEGG enrichment analysis for the DEGs
identified at transition zones. We first explored the up-regulated
DEGs (Fig. 6) and identified nine significantly enriched KEGG
pathways (Fig. 6a). Phenylpropanoid biosynthesis was shared by
all three zones, and starch and sucrose metabolism and stilbenoid
biosynthesis were shared by S2 and S3. The other pathways
largely related to specialized metabolites, such as glucosinolate,
cutin and flavonoids, were unique in S3 (Fig. 6a).
To further examine which biological processes these DEGs
were involved in, we performed GO enrichment analysis. In total,
163 significantly overrepresented GO terms (adjusted p≤0.05)
were identified in glasshouse bracts as a whole (Supplementary
Data 5), and 41 of them were shared by all zones. The
enriched GO terms were further grouped into nine network
modules (node ≥3) (Fig. 6b) by similarity matrices calculated
using the Jaccard correlation coefficient43. The most notable
module was cell wall biogenesis, which included 25 GO terms
Table 1 Statistics for the genome assembly of noble rhubarb.
Assembly
Assembled size 1.36 Gbp
GC content 39%
Number of contig 245
N50 of contig 9.8 Mbp
Longest contig 23.56 Mbp
BUSCOs C:96.1% (S:87.3%, D:7.2%), F:1.6%,
M:3.9%
Merqury QV & Error rate 46.3 & 2.33471e−05
Merqury k-mer completeness 99.24%
LAI (LTR Assembly Index) 9.90
Annotation
Number of protein coding genes 58,950
Number of tRNA 3310
Number of sRNA 4798
Content of repeats 1,002.07 Mbp (73.54%)
-LTR 552.44 Mbp (40.54%)
-DNA transposons 102.44 Mbp (7.52%)
-LINEs 49.85 Mbp (3.66%)
-SINEs 1.53 Mbp (0.11%)
-Unclassised Repeats 279.86 Mbp (20.54%)
ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-023-05044-1
6COMMUNICATIONS BIOLOGY | (2023) 6:706 | https://doi.org/10.1038/s42003-023-05044-1 | www.nature.com/commsbio
Content courtesy of Springer Nature, terms of use apply. Rights reserved
such as phenylpropanoid metabolic process (GO:0009698), cell
wall macromolecule biosynthetic process (GO:0044038), and cell
wall biogenesis (GO:0042546). Secondary cell wall biogenesis is
the core component of this module as lignin biosynthesis
(GO:0009809), xylan biosynthesis (GO:0045492) and glucuro-
noxylan biosynthesis (GO:0010417) provide polymers for sec-
ondary cell wall deposition. This module was shared by all
glasshouse zones, representing a common feature of glasshouse
bracts as a whole. Nonetheless, as expected from the view of
morphological transition, several modules were specifictoS2
and/or S3, such as the metabolism of aspartate family amino
acids, and amino acids transport (Fig. 6b).
Following the same procedure, we then examined the down-
regulated DEGs (Fig. 6c, d). Overall, 12 KEGG pathways were
enriched in glasshouses bracts, and two of them (photosynthesis and
fatty acid biosynthesis) were shared by all zones(Fig. 6c). In contrast
to the up-regulated DEGs which were mainly enriched in specialized
metabolism pathways, the down-regulated DEGs were mainly
enriched in primary metabolism pathways including fatty acids,
amino acids and propanoate metabolism, to name a few (Fig. 6c).
The suppression of these pathways in glasshouse bracts, together
with S3-specific pathways, such as carbon fixation/metabolism
and glyoxylate metabolism, were likely to be a consequence of
down-regulation of photosynthesis. Notably, diterpenoid biosynth-
esis, a specialized metabolism pathway, was significantly enriched
among down regulated genes in S2 and S3 (Fig. 6c). GO enrichment
analysis identified 60 GO terms for the down-regulated DEGs
(Supplementary Data 5), and these GO terms were further grouped
into six network modules (node ≥3) (Fig. 6d). Four of them were
unique to S2 and/or S3, and no module as a whole was shared by all
zones (Fig. 6d).
Discussion
Genomic modification associated with adaptation to high eleva-
tions has been well documented in animals15 but has been less
explored in plants. The rhubarb genus has experienced a rapid
evolutionary radiation in Himalayan alpine regions over the past
10 Mya30,31, with noble rhubarb inhabiting up to 5000 m in
elevation. The rapid radiation of Rheum may have been accom-
panied by hybridization and gene flow between species, resulting
in reticulated evolutionary relationships as captured in our phy-
logenomic analysis. Our comparative genomic analysis provided
several insights into this alpine adaptation. Firstly, genes involved
in DNA repair, such as homologous recombination and mis-
match repair, significantly expanded. As noble rhubarb grows at
Rhfr
Rhal pop 2
Rhof
Rhal pop3
Rhrho
Rhmo
Rhpa
Ruac
Rhfo
Rhta
Rhpu
Oxsp1
Rhno pop2
Rhde
Rhki
Rupa
Rhac
Rhal pop 1
Rhrh
Rhno pop1
Oxsp2
Ruha
50 40 30 20 10 0 (mya)
10.35 (5.18-16.69)
a
c
b
Gypsy
Copia
0
4
8
0
4
number of intact LTRs (x102)
LTR insertion time (mya)
0
10
20
30
40
percentage (%)
coding region
downstream
upstream
Rhno Ruha
1
2
3
4
count of insertions (x100)
-5 -4 -3 -2 -1 0 01 2 34 5
gene
Rhno
Ruha
distance (kb)
0
5
10
0.00
0.25
0.50
0.75
expression divergence
tissue-specificity
de
51234
f
** ns
0
4
Fig. 4 Evolutionary dynamics of LTRs. a Histogram of intact LTR insertions in R. nobile (top), Ru. hastalutus (middle) and F. tataricum (bottom). bTime-
calibrated phylogeny of Rheum and its close relatives Rumex and Oxyria with the proliferation of LTRs labeled with red shapes. cProportion of intact LTR
insertions within the coding region of annotated genes and downstream (5 kb) or upstream (5 kb) of annotated genes in R. nobile (Rhno) and Ru. hastalutus
(Ruha). dLTR insertions were enriched in the flanking regions of coding sequences (1 kb) in Rhno but not in Ruha. e,fViolin plots of the divergences (log
10
transformed) between gene pairs at expression and tissue specificity levels (Wilcoxon rank sum test). Boxplots represent the median, 25th, and 75th
percentile, respectively.
COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-023-05044-1 ARTICLE
COMMUNICATIONS BIOLOGY | (2023) 6:706 | https://doi.org/10.1038/s42003-023-05044-1 | www.nature.com/commsbio 7
Content courtesy of Springer Nature, terms of use apply. Rights reserved
a
Z3
b
S1/0 S2/0 S3/0 S2/1 S3/1 S3/2
down
up
0
5
10
15
5
10
counts (x100)
c
Z2Z1
Z3
Z2
Z1
S0
S1
S2
S3
Fig. 5 Morphological transition. a The leaves were classified into three zones based on their morphology. bThe phenotype of representative leaves in each
zone. cSignificantly differentially expressed genes (P< 0.05, |log
2
(fold-change)| > 1) from different comparisons between leaf types.
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pur r n
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r r nv v r
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r r nv v r
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r r nv v r
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w
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7
29
66
Z1
Z2
Z3
S3
S2
S1
a
b
c
d
S0
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodism
photoperiodismphotoperiodism
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic development
positiv ryonic developmentpositiv ryonic development
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive process
positive regulation of reproductive processpositive regulation of reproductive process
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesis
photosynthesisphotosynthesis
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoale
phytoalephytoale
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transport
metal ion transportmetal ion transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transport
nitrate transportnitrate transport
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimulus
cellular response to external stimuluscellular response to external stimulus
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem ly
photosystem II assem lyphotosystem II assem ly
to
to
to
to
to
to
to
to
to
to
to
to
to
to
to
toto
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem ly
cell junction assem lycell junction assem ly
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulus
response to extracellular stimulusresponse to extracellular stimulus
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transport
anion transportanion transport
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrate
response to nitrateresponse to nitrate
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transport
inorganic cation tr rane transportinorganic cation tr rane transport
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesion
rate adhesionrate adhesion
diter
diter
diter
diter
diter
diter
diter
diter
diter
diter
diter
diter
diter
diter
diter
diterditer
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence development
inflorescence developmentinflorescence development
hor
hor
hor
hor
hor
hor
hor
hor
hor
hor
hor
hor
hor
hor
hor
horhor
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimulus
cellular response to ethylene stimuluscellular response to ethylene stimulus
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reaction
photosynthesis, light reactionphotosynthesis, light reaction
gener
gener
gener
gener
gener
gener
gener
gener
gener
gener
gener
gener
gener
gener
gener
genergener
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chain
electron transport chainelectron transport chain
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem I
photosynthetic electron transport in photosystem Iphotosynthetic electron transport in photosystem I
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitin
response to chitinresponse to chitin
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchar
disacchardisacchar
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristem
vegetative to reproductive phase transition of meristemvegetative to reproductive phase transition of meristem
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem ly
NADH dehydrogenase complex assem lyNADH dehydrogenase complex assem ly
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvesting
photosynthesis, light harvestingphotosynthesis, light harvesting
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerization
protein tetramerizationprotein tetramerization
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, flowering
shor ay photoperiodism, floweringshor ay photoperiodism, flowering
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levels
cellular response to nitrogen levelscellular response to nitrogen levels
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvation
cellular response to nitrogen starvationcellular response to nitrogen starvation
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transport
oxylic acid tr rane transportoxylic acid tr rane transport
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathway
jasmonic acid mediated signaling pathwayjasmonic acid mediated signaling pathway
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cellular response to jasmonic acid stimulus
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cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
cellular response to jasmonic acid stimulus
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cellular response to water deprivation
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cellular response to water deprivation
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4
17
38
Z1
Z2
Z3
Linoleic acid metabolism
Tryptophan metabolism
Flavonoid biosynthesis
Cutin, suberine and wax biosynthesis
Glucosinolate biosynthesis
Stilbenoid, diarylheptanoid
and gingerol biosynthesis
Starch and sucrose metabolism
Phenylpropanoid biosynthesis
S1 S2 S3
GeneRatio
0.10
0.03
0.01
p.adjust S1 S2 S3
GeneRatio
0.10
0.04
0.02
p.adjust
Glycine, serine and threonine metabolism
Carbon metabolism
Glyoxylate and dicarboxylate metabolism
Carbon fixation
Tryptophan metabolism
Diterpenoid biosynthesis
Pyruvate metabolism
Propanoate metabolism
Fatty acid metabolism
Fatty acid biosynthesis
Photosynthesis
Fig. 6 Genetic modules underlying the morphological transition of glasshouse leaves. a Enriched KEGG pathways for up-regulated DEGs at three
transition points. bNetwork modules of enriched GO terms for up-regulated DEGs. GO terms are linked by similarity matrices calculated using the Jaccard
correlation coefficient (JC), and each module is labeled with representative terms selected using REViGO (--Medium, --Arabidopsis, --SimRel) (http://
revigo.irb.hr/ accessed at 14-12-2021). cEnriched KEGG pathways for down-regulated DEGs. dNetwork modules of enriched GO terms for down-regulated
DEGs. The modules are identified in same way as described in b.
ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-023-05044-1
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high elevations, intense UV radiation is a major challenge. UV-B
irradiation can cause direct DNA damage44 and enhanced DNA
repair systems are essential for the survival of noble rhubarb in
the alpine environment. For example, homologous recombination
is widely used by cells to accurately repair harmful breaks that
occur on both strands of DNA45. Secondly, genes involved in
lipid metabolism and regulation, specifically the unsaturated fatty
acids, significantly expanded. As a major component of cell
membranes, lipids have a significant role in response to cold
stress, both as a mechanical defense through leaf surface pro-
tection and plasma membrane remodeling, and as signal trans-
duction molecules40. For example, by increasing the level of
unsaturated lipids, the plasma membrane can maintain its fluidity
and stabilization under low temperature, allowing cells to
mechanically adapt to cold46,47.
In addition, LTR proliferation has bloated the noble rhubarb
genome and promoted expression divergences among duplicated
genes, which might contribute to the evolutionary adaptation of
noble rhubarb to alpine environments. LTRs are the most impor-
tant drivers of plant genome evolution48 and their proliferation has
been demonstrated to be associated with evolutionary innovations
in diverse lineages of organisms, including plants49,50 and
animals51. In particular, they can be co-opted to play key orga-
nismal functions by providing genes with promoters and
enhancers52,53, by rewiring regulatory networks54, and by assisting
the evolution of entirely new genes48,55.
Transposable elements have been found to be more active
when organisms are under stress, such as in face of changing
environments56. The uptick of LTR activity in glasshouse plants (1-
2 Mya) might be activated by environmental stress caused by
Tertiary orogeny, as it coincided with the latest phase of the rapid
uplift of the Tibetan Plateau (1.6–3.6 Mya)57. Following the initial
insertion, the high frequency and efficiency of LTR removal as
evidenced by the large numbers of solo LTRs has affected the
distribution of LTR. During the removal process, the enrichment of
LTR insertions in regulatory regions (<1 kb flanking) and the
altered gene expression suggest functional role of LTR insertions
and selective retention. These results indicate that the expansions of
LTRs in noble rhubarb genome may have rewired the genome-wide
gene regulation network. The activity of LTR-retrotransposons
fueled by Himalayan geological events may have served as an
engine of evolution for plants to adapt to alpine environments.
The specialization of glasshouse bracts to serve as UV filters and
warmth-trapping structures may involve complex genetic and
physiological alterations. The bracts of R. nobile have neither
palisade nor spongy parenchyma in their mesophyll but are char-
acterized by highly vacuolated epidermal and hypodermal layers9,
while that of R. alexandrae, another glasshouse plant, have partially
differentiated mesophyll cells with intercellular spaces analogous to
spongy parenchyma10. Both have fewer and malformed chlor-
oplasts compared with normal leaves9,10. In general, the anatomical
structure of the bracts is similar to that of young leaves at a pre-
expansion stage, as undifferentiated mesophyll is a general feature
of immature leaves58.
Our comparative transcriptomic analyses on the differentiation
of glasshouse bracts provided further insights into the develop-
ment of glasshouse morphology. Firstly, photosynthesis was
down regulated in glasshouse bracts indicating the suppression of
photosynthesis in glasshouse bracts. This is evident as glasshouse
bracts are visibly light yellow, likely due to the absence of the
green chlorophyll pigments and fewer and malformed chlor-
oplasts compared to normal leaves10. Secondly, secondary cell
wall biogenesis appears to be upregulated in glasshouse
bracts. Secondary cell walls are typically deposited in specialized
cells, such as tracheary elements, fibers and other scler-
enchymatous cells, and are in general a small component in leaf
tissues59. The function of secondary cell walls and cuticle upre-
gulation may relate to the optical property of the tissue. Thirdly,
terpenoid metabolism, including diterpenoid metabolic process
(GO:0016101) and isoprenoids metabolic process (GO:0006720),
was down regulated in glasshouse bracts, probably because of the
suppression of photosynthesis.
Finally, the bracts accumulate high levels of flavonoids, which
constitute the key feature of its UV filtering function16. Our
metabolite profiling showed that normal leaves and glasshouse
bracts accumulate comparable level of flavonoids in the noble
rhubarb, but the latter are differentiated by losing two of the five
quercetin-based glycosides and by hyper-accumulating hyperin
(quercetin-3-O-galactoside). Flavonoids are well known as pho-
toprotection molecules because of their high efficiency in
scavenging UV-induced reactive oxygen species35 and have been
proposed as one of the key metabolic innovations promoting
plant terrestrialization60. Flavonoid metabolism is thus an adap-
tive trait for land plants61, and is particularly essential for alpine
plants exposed to excess UV radiation. In addition, non-leaf tis-
sues in noble rhubarb contain only traces of flavonoids, sug-
gesting tissue-specific genetic regulation. The presence of
glasshouse bracts equipped with UV-absorbing flavonoids and
low in chlorophyll that covers the influence thus provides several
advantages: 1) they selectively block short-wavelength light to
protect reproductive organs from UV damage; 2) they effectively
transmit infrared light which has high thermal efficiency, thereby
trapping warmth and heating the flowers; and given the benefits
mentioned above, 3) they create an optimal thermal microclimate
for reproduction, and promote pollination by attracting pollina-
tors, as has been reported in R. alexandrae12.
Glasshouse morphology is a charismatic plant adaptation in the
alpine biome. Although the basic morphological and ecological
features of the syndrome have been described9,10,12,13,30, to what
extent these phenotypes are derived through similar genetic
mechanisms are not known. We provided a phylogenetic frame-
work to describe the multiple origins of glasshouse morphology in
Rheum. The reported unique genomic architecture of R. nobile will
facilitate further genomic comparisons between glasshouse species
and non-glasshouse species. The transcriptomic atlas described
here in context of the morphological transition of glasshouse leaves
will enable additional comparative analyses to identify the genetic
basis of the convergent morphogenesis that has given rise to
independent origins of the glasshouse syndrome.
Methods
Phylogenetic placement of glasshouse trait. To track the origin and evolution of
glasshouse morphology in Rheum L., we sampled 17 accessions representing four of
the six sections of Rheum7, together with five species from Polygonaceae as out-
groups to build phylogenetic tree. Because of the extensive morphological diver-
gences found in Rheum, multiple accessions for the glasshouse plants R. nobile and
R. alexandrae were included in the analysis. Previous phylogenetic inferences30,62
with general gene markers, such as ITS and ETS, showed limited power to
reconstruct the evolution history of Rheum, and we thus employed the phyloge-
nomic approach63 to infer the phylogeny of Rheum. In total, 22 transcriptomes
either from public repositories or generated in this study (Supplementary Data 1)
were used in the phylogenomic analysis. Fresh plant tissues were collected in the
field, immediately frozen in liquid nitrogen, and were stored in −80 °C until RNA
extraction. The voucher specimen was deposited in the Herbarium of Kunming
Institute of Botany (KUN). Total RNA was isolated from fresh tissues using the
PureLink Plant RNA reagent (Life Technologies) and further purified using TRIzol
reagent (Invitrogen). Quality and quantity were examined using a Bioanalyzer 2100
(Agilent Technolo-gies, CA). cDNA libraries with insert sizes 300 bp were con-
structed using the TruSeq Kit (Il-lumina) and then sequenced as 2 × 150bp reads
on the Illumina HiSeq 1500 platform (Illumina Inc., CA, USA) at BGI (Shenzhen,
China). The information of raw reads acquired for each sample is in Supple-
mentary Data 1. Multiple accessions for the glasshouse plant species R. nobile and
R. alexandrae were included. In addition, Fagopyrum tataricum which is in the
same family as Rheum was used as outgroup.
RNA-seq reads, either generated in this study or obtained from public
repository (Supplementary Data 1), were first subjected to quality control using
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FastQC v0.11.8 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/) and
trimming using Trimmomatic v0.39 (HEADCROP:10 LEADING:3 TRAILING:3
SLIDINGWINDOW:4:15 MINLEN:36)64. The clean reads were assembled de novo
using Trinity v2.3.265 with default settings. CDS sequences were identified and
translated using TransDecoder v5.5.066 with homology based ORF (open reading
frame) retention criteria (--retain_pfam_hits, -retain_blastp_hits). The homology
information was obtained via BLASTp against the plant protein database
alluniRefprexp07041667 and pfam searches with Pfam 33.168. All translated amino
acid sequences were then reduced using CD-HIT-V4.6.1 (-c 0.99 -n 5 -M 60000)69.
These assembled transcriptomes, together with the CDS sequences from the
annotated genome of F. tataricum70 were used for phylogenomic reconstruction.
Orthology clustering was performed using Orthograph v0.771 with the high-
quality orthologous gene clusters of noncore Caryophyllales72 as reference. Clusters
with at least 70% species occupancy were further used for gene tree inference. Each
cluster was aligned using MAFFT v7.40773 with default settings, and the alignment
was trimmed with Trimal v1.2 (-gt 0.5 -st 0.1)74. Phylogenetic trees were estimated
using FastTree v2.1.775. Long branches [absolute length (LABS) > 2 or relative length
(LREL) > 10)] that were likely introduced by transcriptome assembly artifacts and/or
distantly related homologs63 were removed. The cleaned clusters were realigned and
trimmed following the same procedure. Alignments with species occupancy > 80%
and alignment length > 300 were used for further analysis, resulting in 2554 clean
orthologous groups of which 187 groups contain only single-copy gene. Phylogenies
were reinferred using RAxML-NG v0.7.0b (--model GTR +G --tree_pars 10)76. The
whole process was pipelined using python scripts adapted from63. In addition, we
tested the robustness of the phylogeny using different subsets of genes. First, subset of
single copy orthologs (one-to-one orthologs) from the 2554 orthologous groups were
chosen, which resulted in 187 genes; second, further filtering by average bootstrap
values for each gene tree (bs > 90) which resulted in 132 genes; third, based on the
filtered gene set, both concatenated- and coalescent-based approach were used to
infer the final species tree. Species tree was then constructed using ASTRAL-Pro
v5.7.777 based on the single-copy 132 gene trees. Uncertainty for the species tree was
estimated using local posterior probability (localPP)78. Densitree of Rheum was
generated from 187 single-copy genes.
To infer the species divergence time, we used the Bayesian clock dating79. The
topology of the ASTRAL tree and the concatenation of the 132 single-copy gene
sequences were used. Two fossils were employed as minimum-age calibrations,
including Polygonocarpum johnsonii (>66 mya) which calibrates the crown node of
Polygonaceae80,81 and Aldrovanda intermediata (>41.2 mya) which calibrates the
crown node of Aldrovanda +Dionaea80,82. The calculations were performed using
MCMCTree module (clock =2sampfreq =1000 nsample =50000000)
as implemented in PAML v4.9e83.
Ecological experiments and spectroscopic characterization. To determine the
effect of the bracts on the light spectrum reaching the reproductive organs, we
measured the reflectance and transmittance spectrum of bracts and leaves using a
spectrophotometer. We followed previous studies84,85 to set up the equipments
(Supplementary Fig. 2). Both transmittance and reflectance spectra were measured
using an IdeaOptics PG2000-Pro spectrophotometer (200–1100 nm; IdeaOptics,
Shanghai, China) equipped with DH-2000 deuterium-halogen lamp (IdeaOptics).
This light source integrates the properties of deuterium lamps and halogen lamps
and emits stable UV light (180–400 nm) and visible light (400–750 nm),
which coveres the effective light radiation reaching the plants in the wild. The
lamps were warmed up for 30 min to obtain stable light emission before measuring.
The reflectance spectrum was calibrated with respect to a white Lambertian
reflectance standard (STD-WS, IdeaOptics).
Three mature plants with fully developed bracts were randomly selected for
measuring in the field (N29.40°-E94.90°, Alt. 4200 m). Bracts from the upper,
middle and lower part of each plant were measured separately (Supplementary
Figs. 3, 4). For transmittance measurements, the sample was illuminated from
outside the sphere directly at an area with 1 mm diameter using optical fiber, and
the scattered light was uniformed and detected as described above. For reflectance
measurements, the light from the light source was coupled into a 600 μm core-size
optical fiber, collimated and illuminated the sample at an 8° angle from within the
IS30 integrated sphere (IdeaOptics). The scattered light from the sample was then
uniformly diffused within the integrated sphere and collected in another 600 μm
core-size optical fiber coupled to the spectrophotometer in 90° angle
(Supplementary Fig. 2, inset). To account for the different patterns of light
transmittance observed in bracts and leaves, we performed statistical tests. The
transmission rate at six wavelengths (250, 350, 450, 550, 650, 750 nm) which cover
the UV-visible range were compared using Ttest with three biological replicates.
The ambient temperature and temperature inside the glasshouse-morphology
(ca. 100 cm above the ground) were synchronously recorded using a two-channel
thermocouple data logger (HOBO-U23-003, Onset, USA) equipped with two alloy
needle-type sensor probes (Onset, USA). Temperatures were recorded every
2 minutes in a 48-hour interval at the mid-August in east Himalayas (N29.40°-
E94.90°, Alt. 4200).
Flavonoids extraction and quantification. To profile the flavonoid content in
R. noble, the flavonoids from different organs (bracts, leaves, stems, fruits, roots
and seeds) were extracted using Methanol-Formic Acid solution (75%, 0.1%, both
v/v). For each tissue type, three biological replicates, each represented by three
technical replicates from the same individual, were used in the measurements. Full
steps for the sample preparation are available in protocols.io (https://protocols.io/
view/characterization-of-flavonoids-bkekktcw). Apigenin, Quercetin (Aladdin,
China) and Isovitexin (Macklin, China) were used as reference standards and were
dissolved in 75% MeOH with 0.1% formic acid. The crude extracts were filtered by
0.22 μm PVDF membrane and 10 μL was sampled and separated on an Athena C18
HPLC column (120 Å, 4.6 ×150 mm, 3μm; Anpel Technologies, Shanghai, China)
connected to the Access Max HPLC system (Thermo Fisher Scientific). Mobile
phases of 0.5% (v/v) formic acid in deionized water (solvent A) and 0.5% formic
acid in acetonitrile (solvent B) were used at a flow rate of 600 μL/min. The gradient
program started at 10% B which was increased linearly to 20% in 6 min and to 30%
in 20 min; then eluent B was held constant for three minutes at 90% and linearly
decreased to 10% in two minutes and was held constant for one minute. Finally, the
column was equilibrated for 10 minutes at the initial solvent composition.
Mass spectrometry was performed using a 6546 Q-TOF LC-MS-MS system
from Agilent Technologies (Santa Clara, CA, USA) coupled with an electrospray
ionization (ESI) interface. The parameters were optimized as follows: ESI voltage
−4,000 V, nebulizer gas 60, auxiliary gas 50, curtain gas 35, turbo gas temperature
500 °C, declustering potential −60 V, and focusing potential −350 V. The samples
were analyzed with an information-dependent acquisition (IDA) method, which
can automatically select candidate ions for the MS-MS analysis. The TOF mass
range was set from m/z 50 to 800, and the mass range for product ion scan was m/z
50–800. The collision energy was set to 10 eV to observe the pseudo-molecular [M-
H]-ion and the losses of substituent groups, and 20–40 eV to obtain informati on
about the basic skeletons. The mass analyzer was calibrated using Taurocholic acid
(2 ng/μL) by direct injection at a flow rate of 5 μL/min. Under the negative ESI
mode, molecules with phenol hydroxyl could produce strong and stable [M-H]-,
which could be helpful for identification86. The ESI-MSnspectrum for each isolated
compound (Supplementary Figs. 5–10) was searched against the NIST/EPA/NIH
mass spectral library as supplemented in Xcalibur v4.3 (Thermo Scientific, MA,
USA), and was also compared with that of reference compounds generated under
the same LC-MS conditions. The most abundant flavonoid molecule (peak 3,
Supplementary Fig. 5) produced a deprotonated ion at m/z477 in the ESI-MS1
spectrum (Supplementary Fig. 6). In the ESI-MS2spectrum, two high intensity
fragments at m/z301 [M-H-162]–and 300 [M-H-162] –• were observed. Ions at
m/z301 suggested the loss of a hexose unit. Ions at m