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Thiamine (vitamin B 1 ) is required by all living organisms in multiple metabolic pathways. It is scarce in natural systems, and deficiency can lead to reproductive failure, neurological issues, and death. One major cause of thiamine deficiency is an overreliance on diet items containing the enzyme thiaminase. Thiaminase activity has been noted in many prey fishes and linked to cohort failure in salmonid predators that eat prey fish with thiaminase activity, yet it is generally unknown whether evolutionary history, fish traits, and/or environmental conditions lead to production of thiaminase. We conducted literature and GenBank BLAST sequence searches to collect thiaminase activity data and sequence homology data in expressed protein sequences for 300 freshwater and marine fishes. We then tested whether presence or absence of thiaminase could be predicted by evolutionary relationships, trophic level, omega-3 fatty acid concentrations, habitat, climate, invasive potential, and body size. There was no evolutionary relationship with thiaminase activity. It first appears in Class Actinoptergyii (bony ray-finned fishes) and is present across the entire Actinoptergyii phylogeny in both primitive and derived fish orders. Instead, ecological factors explained the most variation in thiaminase: fishes were more likely to express thiaminase if they fed closer to the base of the food web, were high in polyunsaturated fatty acids, lived in freshwater, and were from tropical climates. These data provide a foundation for understanding sources of thiaminase leading to thiamine deficiency in fisheries and other organisms, including humans that eat uncooked fish.
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Evolutionary and ecological
correlates of thiaminase in shes
Freya E. Rowland
*, Catherine A. Richter , Donald E. Tillitt & David M. Walters
Thiamine (vitamin B1) is required by all living organisms in multiple metabolic pathways. It is scarce in
natural systems, and deciency can lead to reproductive failure, neurological issues, and death. One
major cause of thiamine deciency is an overreliance on diet items containing the enzyme thiaminase.
Thiaminase activity has been noted in many prey shes and linked to cohort failure in salmonid
predators that eat prey sh with thiaminase activity, yet it is generally unknown whether evolutionary
history, sh traits, and/or environmental conditions lead to production of thiaminase. We conducted
literature and GenBank BLAST sequence searches to collect thiaminase activity data and sequence
homology data in expressed protein sequences for 300 freshwater and marine shes. We then tested
whether presence or absence of thiaminase could be predicted by evolutionary relationships, trophic
level, omega-3 fatty acid concentrations, habitat, climate, invasive potential, and body size. There
was no evolutionary relationship with thiaminase activity. It rst appears in Class Actinoptergyii
(bony ray-nned shes) and is present across the entire Actinoptergyii phylogeny in both primitive
and derived sh orders. Instead, ecological factors explained the most variation in thiaminase: shes
were more likely to express thiaminase if they fed closer to the base of the food web, were high in
polyunsaturated fatty acids, lived in freshwater, and were from tropical climates. These data provide
a foundation for understanding sources of thiaminase leading to thiamine deciency in sheries and
other organisms, including humans that eat uncooked sh.
iamine (vitamin B1) is an essential cofactor in multiple enzyme complexes required for metabolism of car-
bohydrates and amino acids1. Yet despite being necessary for all life, animals cannot synthesize thiamine de
novo, and so the majority must obtain it through diet or direct uptake in the case of fry25. Biological thiamine
synthesis is energetically expensive and complicated6, 7. iamine in aquatic systems is present at extremely low
(picomolar) concentrations; spatially heterogenous; degrades rapidly in the presence of UV8, alkaline conditions9,
and high temperatures10; and tends to be rapidly taken up aer synthesis1113. Furthermore, having too lit-
tle thiamine leads to a suite of cardiovascular and neurological issues in humans3, foxes14, shes15, and other
wildlife16. Although some eects of thiamine deciency are reversible, early life deciency can cause death3, 17,
and permanent brain damage has been documented in humans18. e long-term eects of temporary or inter-
mittent thiamine deciency in shes17 and the reasons thiamine deciency complex is showing up more in wild
populations19 remain poorly understood, in part because thiamine supplementation is inexpensive and easily
applied in managed populations.
ere are two demonstrated mechanisms for aquatic animals to become thiamine decient: through a diet
that lacks enough thiamine16 (e.g., due to poor absorption or lacking nutrients) or through eating something
that destroys thiamine before it can be absorbed17, 20, 21. Previous research has hypothesized that a diet of lipid-
rich prey can lead to thiamine deciency in sh predators, but these correlative studies have not considered
if lipid-rich forage sh also contain thiaminase22. Early life stage mortality and sublethal eects in salmonids
is linked with low egg thiamine concentrations caused by elevated thiaminolytic enzymes (i.e., thiaminase)
present in the maternal diet21, 23, 24. Fishes dier drastically in their thiaminase activity2527, but the sources
and reasons for thiaminase production are relatively unknown. Bacteria can use thiaminase as a salvage path-
way for thiamine biosynthesis28, and originally thiaminase activity in forage shes was thought to be linked to
thiaminase-producing bacteria such as Paenibacillus thiaminolyticus that had been isolated from Alewife (Alosa
pseudoharengus)29. However, later research revealed no relationship between thiaminase activity and either the
amount of P. thiaminolyticus thiaminase I protein or the abundance of P. thiaminolyticus cells30. More recently,
Richter etal.31 provided evidence for de novo production of thiaminase I by sh (Zebrash, Danio rerio) and
identied the genetic basis for thiaminase production in shes.
e question remains why shes produce thiaminase if it destroys an essential nutrient that sh cannot syn-
thesize? It is highly unlikely that thiaminase production is a prey response to limit predators for two reasons:
OPEN
U.S. Geological Survey, Columbia Environmental Research Center, 4200 New Haven Rd, Columbia, MO 65201, USA.
*email: frowland@usgs.gov
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(1) predators develop TDC when a large portion of their diet has thiaminase, but it can take years21; and (2) this
feedback loop is too slow to benet prey producing thiaminase who might have two or three generations until
predator populations begin to experience reproductive failure. One possible explanation of thiaminase produc-
tion is the result of strong selective pressure as a method to partially resynthesize thiamine6. Fish that express
thiaminase activity are not themselves decient in thiamine26, suggesting that mechanisms exist to partition
thiaminase activity from thiamine within the tissues of sh that express thiaminase. However, the mechanisms,
eciency, and energetic requirements of thiaminase partitioning have not been elucidated. iaminase activity
has been found to increase with disease challenges32 and with diet quality and stress33. However, not all shes
produce thiaminase, and thiaminase activity levels are highly variable26, 33, 34. e evolutionary history of thiami-
nase production in shes is also unknown. iaminase may be more common in primitive than derived North
American freshwater shes34, 35, but these studies did not consider marine species.
We sought to explore whether evolutionary and ecological characteristics could explain thiaminase presence
in shes. Specically, we evaluated: (1) if phylogenetic relationships would predict thiaminase presence or activity,
consistent with previous work on North American freshwater shes34, 35; and (2) if ecological or physiological
characteristics of trophic level, habitat use during foraging, salinity tolerance, or lipid content predicted thiami-
nase presence or activity in shes. Associations of thiaminase with these ecological or physiological factors would
aid in evaluation of risk for thiaminase-induced TDC in piscivorous shes, wildlife, and humans.
Methods
Data collection
Data on thiaminase I activity of 300 shes were compiled from existing literature2527, 3255 and a GenBank search
for protein sequences coded by expressed transcripts with signicant homology to Zebrash (Danio rerio)
thiaminase I (Richter etal. 2023; GenBank accession number NP_001314821.1). e thiaminase I enzyme of
Zebrash is homologous to a candidate thiaminase gene identied in Alewife. e empirically derived mass and
isoelectric point of the thiaminase I activity extracted from Alewife tissues exactly matched that predicted for
the candidate Alewife thiaminase I gene31. We limited the search to sh species with at least 10,000 predicted
protein sequences in GenBank. We conducted a protein BLAST sequence search for each of the species against
the Zebrash thiaminase predicted protein sequence31. Fishes were scored thiaminase positive if they had an
expressed predicted protein sequence with at least 35% sequence identity56 to Zebrash thiaminase and contained
the predicted active site cysteine (C153 in NP_001314821.1).
e BLAST search and literature agreed for 23 shes where both genetic and literature thiaminase data were
available. ere were few disagreements. Sea Lamprey (Petromyzon marinus) were categorized as thiaminase
positive in the literature36 but negative in BLAST. Since Boggs etal. (2019) suggested little to no thiaminase
activity for another lamprey speciesand the BLAST data are more comprehensive, we categorized them as nega-
tive. Ninespine Stickleback (Pungitius pungitius) was listed as thiaminase positive in Riley and Evans35 based on
activity of 85 ± 60pmol/g/min26. However, the BLAST data indicated it was thiaminase negative and the high
standard deviation in measurements suggested many low values. Furthermore, a more recent study showed
very little thiaminase activity57. us, we categorized the Ninespine Stickleback as thiaminase negative. Lake
Whitesh (Coregonus clupeaformis) was categorized as thiaminase positive based on Deutsch and Hasler58 but
was BLAST negative. Since we have lower condence in the sole literature value, we categorized Lake Whitesh
as negative. Bown (Amia calva) was positive in two studies36, 46 but also listed as both positive and negative36.
iaminase analysis in these studies was conducted on whole-body Bown homogenates, and it is possible that
positive results may have resulted from analyzing Bown that contained thiaminase-rich prey in their guts, so
they were eliminated from analysis. European Perch (Perca uviatilis) was positive in one study48 but negative
in BLAST. We put higher trust in the BLAST data since published work48 only reports positive or negative activ-
ity and did not report a range of measured values. All entries were checked closely by two separate people for
completeness and accuracy.
We obtained family, order, and ecological data from shbase.org59 for all species included in our nal thiami-
nase database. Data on maximum total length (cm), trophic level estimate, and median Omega-3 concentration
were treated as continuous variables. A species’ invasive ability (i.e., documented negative ecological impacts
in areas where they are introduced or labeled as potential pest species on Fishbase59), climate range (i.e., polar,
boreal, temperate, subtropical, tropical, deep-water), habitat (benthic, benthopelagic, or pelagic), and whether
a sh spends the majority of its life in marine or freshwater environments were treated as categorical variables.
Data analysis
We analyzed all data in R v4.1.260. We tested for phylogenetic relationships among sh families and presence/
absence of thiaminase using a published sh phylogeny including the Classes Sarcopterygii, Chondrichthyes,
and Actinopterygii61, and among orders using a phylogeny of ray-nned shes of Class Actinopterygii only62.
We used the R package ape63 to prune the tree to sh orders/families where we had data using the ‘drop.tip’ func-
tion. We then used ‘make.simmap’ in the phytools package64 to t continuous-time reversible Markov models to
estimate the evolution of thiaminase at each node for 500 simulations. e models assumed equal (0.5/0.5) root
node prior probabilities of presence or absence of thiaminase conditioned on the published sh phylogenies. We
used these simulations to estimate the probability that an ancestral state/root node had thiaminase, represented
as pie charts at each node.
To explore the ecological determinants of thiaminase activity we used Bayesian binomial models with a
logit-link function in the rstanarm65 R package. We used weakly informative priors with a mean of zero and
standard deviation of 2.5. We ran each Bayesian model for 10,000 iterations and discarded the rst half as a
warm-up to obtain 20,000 simulations for analysis. We conrmed convergence using Gelman–Rubin statistic
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(R < 1.01)66 and by examining trace plots. None of the models had inuential outliers as assessed by leave-one-
out cross-validation (“loo”) in the rstan package67. We report the coecients as the mean and the 95% credible
interval (95% CRI), which is the range of values for posterior samples. We computed Bayesian R2 for the regres-
sion models (i.e., multiple regression, trophic level, and omega-3 models) to explore the proportion of variance
explained by the models68.
Results
Our species pool included 300 shes that were tested for thiaminase activity or were searched for thiaminase
proteins in their expressed sequence libraries. Of these, less than half (n =119) had thiaminase. ese species
represent a broad range of sizes, climates, and habitats (Supplementary TableS1), with representation from
124 families, 56 orders, and 3 classes of shes. Despite having broad evolutionary representation, we found
no evidence of an evolutionary pattern in thiaminase of shes (Fig.1, Supplementary Fig.S1). We found no
evidence for thiaminase production in more primitive shes like Coelacanth (Class Sarcopterygii), lampreys
(Class Hyperoartia), or cartilaginous shes like sharks, rays, and skates (Class Chondrichthyes; Supplemen-
tary Fig.S1). iaminase rst appears in the most primitive ray-nned shes (Class Actinopterygii) such as
the Bichir (Order Polypteriformes), Mississippi Paddlesh (Order Acipenseriformes), and Spotted Gar (Order
Lepisosteiformes). iaminase is distributed across the entire Actinopterygii phylogeny to more derived orders
such as the live-bearing shes (Order Cyrinidontiformes; Fig.1). e Markov model simulations indicated equal
probability of thiaminase across all nodes of the phylogeny (Fig.1, Supplementary Fig.S1). Ecological factors
explained nearly 40% of the variation in thiaminase presence or absence (Bayesian R2 = 0.36, Fig.2). Trophic
level (bTL = − 0.88, 95% CRI [− 1.72, 0.11]; Supplementary TableS2), and association with marine environments
(bmarine = − 2.01, 95% CRI [− 3.07, − 1.12]) were negatively related to thiaminase presence in shes (Fig.2). Habitat
(benthic, benthopelagic, or pelagic), invasive potential, and size (as maximum total length) were not predictors
of thiaminase (Fig.2).
Probability of thiaminase production decreased as trophic level increased, meaning that lower trophic levels
were more likely than top predators to have thiaminase, and the trophic level model alone explained 10% of the
variation in the data (Bayesian R2 = 0.10, Fig.3a). Marine species were less likely to have thiaminase (Fig.3c); only
21.8% of marine shes compared to 59.5% of freshwater shes had thiaminase. Two ecological traits increased
probability of thiaminase. Omega-3 concentration (bomega-3 = 0.94, 95% CRI [0.07, 1.82]; Supplementary TableS3)
and tropical climate (btropical = 1.16, 95% CRI [0.03, 2.23]) were positively related to thiaminase in shes (Fig.2).
Higher omega-3 concentrations resulted in higher probability of thiaminase production, and omega-3 concen-
tration alone explained 5% of the variation in the data (Bayesian R2 = 0.05, Fig.3b). Tropical species had a nearly
equal proportion of thiaminase positive shes as non-tropical species (Fig.3d), so the increased probability of
thiaminase presence in tropical shes only appears aer trophic level, omega-3 concentrations, and marine/
freshwater status are included in the model.
Discussion
ere are two previous studies exploring why thiaminase is present in some shes but not others34, 35, and with
addingthe current study we still do not know why any shes make thiaminase. Yet dietary thiaminase has been
linked to thiamine deciency since the 1940s in taxa as diverse as silver foxes14, reptiles69, 70, shes17, 71, marine
mammals72, and humans3. We found that ecological traits rather than evolutionary patterns explain thiaminase
presence among hundreds of shes. Fishes with lower trophic levels, high polyunsaturated fatty acids, freshwater
habitats, and from tropical climates were more likely to produce thiaminase.
Evolutionary patterns of thiaminase in shes
iaminase is not present in ancient shes. Lampreys, cartilaginous shes, and the Coelacanth (Latimeria cha-
lumnae) all lack the genes to produce the thiaminase protein. For both family- and order-level analyses, there was
no phylogenetic relationship of thiaminase presence/absence. e trait rst appears in the Class Actinopterygii
(ray-nned shes) Order Polyteriformes (e.g., bichirs, reedshes), which evolved 368 million years ago61, but
the presence/absence of thiaminase has no discernable patterns within Class Actinopterygii. Previous work has
reported thiaminase activity and presence were generally higher in basal teleosts (clupeids, cyprinids, and catos-
tomids) than in more derived neoteleosts (e.g., percids and centrarchids)34, 35. However, with a tenfold larger data
set we were unable to discern any phylogenetic patterns. Certain orders have more members with thiaminase
(Clupeiformes and Cypriniformes), suggesting there must be some evolutionary reason for its presence. While
other species can and do produce thiaminase, clupeids in particular are well known to cause thiamine deciency
if they are a large portion of predator diets17, 50, 70, 7375. A better understanding of how thiaminase in Clupeiformes
such as alewife diers from that in Cypriniformes such as carps and other shes is needed.
Ecological patterns of thiaminase in shes
Ecology appears to be an important determinant of thiaminase presence in shes. iaminase I activity in carp
increased in response to pathogenic bacterium exposure, suggesting that thiaminase may be modulated in
response to disease challenges32. It may be that tropical and freshwater shes are more likely to have thiaminase
because of higher exposure to pathogens. Previous work has found higher disease prevalence for shorebirds
occupying tropical freshwater than marine temperate or arctic regions76, and viral and bacterial loads are higher
in freshwater systems77. Moreover, a large-scale metanalysis across taxa found biotic interactions are stronger
in the tropics78. is suggests that habitat and climate and their inuence on exposure to pathogens may be a
reason for thiaminase presence.
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Trophic level was the strongest predictor of thiaminase among the ecological variables we explored. Very few
top trophic level predators (TL > 4) were thiaminase positive. e reasons for shes producing thiaminase remain
unclear. Lower trophic food items like seston and zooplankton are highly variable in thiamine concentrations79.
Likewise, median thiamine concentrations can dilute with increases in trophic level80, 81. ere is some evidence
that thiaminase production may be related to diet composition33, but there are many remaining questions. More
research is needed to understand how thiaminase-producing shes compartmentalize thiamine and thiaminase
within their tissues and in identifying the ecological advantages of producing thiaminase.
One of the more interesting results was the strong positive relationship between omega-3 concentration
and thiaminase presence, independent from trophic level (omega-3 vs. trophic level: F1, 154 = 0.203, p = 0.653).
iamine-deciency complex in North American sheries is thought to be the result of thiaminase in prey
shes destroying thiamine in predators gut contents as they pass through the gut15, 17, 23, 26. In contrast, thiamine
Figure1. Presence (black) or absence (white) of thiaminase across 42 sh orders within Actinoptergyii
that overlap between our data and Rabosky, etal.62. If at least one species within the order had evidence
ofthiaminaseactivity, we coded it as having thiaminase present. Branch lengths indicate time since evolution
such that longer branches show orders that evolved longer ago. e pie chart at each node is the probability of
the ancestral state having thiaminase based on 500 Monte Carlo simulations. Silhouettes represent common
body forms within each order (downloaded from phylopic.org; all images public domain/creative commons).
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deciency (called M74) in Atlantic Salmon (Salmo salar) from the Baltic Sea has been correlated with consump-
tion of Sprat (Sprattus sprattus) and Atlantic Herring (Clupea harengus)50. In the Baltic, thiamine deciency is
presently thought to be caused by high lipid density leading to low thiamine concentrations per unit energy22, 82, 83.
However, there has been no reported evidence that oxidative stress from highly unsaturated omega-3 fatty acids
results in thiamine deciency in consumers eating diets without thiaminase. Diets containing both high con-
centrations of omega-3 fatty acids and thiaminase confound attempts to uncover drivers of thiamine deciency
observed in M74-aected sh. It is also possible forage sh with high lipids22 and thiaminase presence such as
in Sprat27 have additive negative eects on thiamine concentrations in predators. More eorts to disentangle
whether thiaminase, high lipids (such as omega-3), or both cause thiamine deciency are needed to understand
threats to sheries.
Future directions
A critical step forward in determination of which sh species produce thiaminase will come from our under-
standing of biological function(s) of thiaminases in sh. Why shes produce thiaminase remains unknown, but
the discussions may have been hindered because of the tendency to focus on thiaminase’s thiamine-degrading
properties (and aforementioned impact on predators) rather than its function as a benet to organisms. In bacte-
ria, thiaminase II hydrolyzes the thiamine break-down product of formylaminopyrimidine (N-formyl-4-amino-
5-aminomethyl-2-methylpyrimidine) to 4-amino-5-hydroxymehtyl-2-mehtylpyrimidine (HMP) which is then
recycled in a thiamine biosynthetic pathway7. More recently, Sannino etal.28 demonstrated that the bacterium
Burkholderia thailandensis uses thiaminase I to salvage precursors from environmentally available thiamine
derivatives, and then preferentially uses these precursors for thiamine synthesis. is preference of auxotrophic
B. thailandensis for thiamine precursors over thiamine itself has also been observed in the abundant SAR11 clade
marine bacteria84. ese mechanisms for salvage of thiamine precursors have not been demonstrated in shes
but oer areas of investigation within the sh microbiome.
iaminase I most certainly oers a selective advantage in shes that possess this gene. Some possible
advantages oered by thiaminase production include: (1) aide in thiamine production of commensal bacteria
of the microbiome; (2) ecological advantages through population control of predatory species that forage on
thiaminase-producing shes; and (3) enhanced health of thiaminase-producing species of sh through greater
immune function. iamine is the least metabolically stable B vitamin85 due to an oxidative side-reaction that
readily damages the thiazole moiety86. iamine is also degraded in the presence of UV, sultes, or high pHs,
exacerbating its scarcity in natural environments and oering an advantage to organisms with microbiomes
containing the ability to resynthesize thiamine from its breakdown products or precursors2. It is interesting that
thiaminase production is most common in lower trophic levels, meaning that forage shes are most likely to
produce it. iaminase I as a thiamine salvage pathway in their microbiome would oer a strong advantage to
shes in environments with low and unstable thiamine supplies. However, it is unlikely that thiaminase I in forage
Figure2. Results from the Bayesian multiple regression of ecological variables vs. thiaminase presence/absence.
Trophic level, omega-3, and maximum length (cm) are continuous variables, and the others are categorical
(yes = 1, no = 0). e dotted line shows 0, so posterior histograms that do not overlap zero have good evidence
of being related to thiaminase (e.g., if most of the posterior is positive, this suggests it is related to thiaminase
presence). e 95% credible interval within each histogram is shaded and the median is represented as vertical
solid line. Overall, this model explained 36% of the variation in the data.
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species serves as a selective force to control reproduction and subsequently population size in salmonine preda-
tors. Laboratory experiments demonstrated that it took at least two years to induce TDC in eggs and fry of Lake
Trout fed a thiaminase-rich diet21, a timeline too long for the feedback loop to benet prey producing thiaminase.
Last, there is evidence that thiaminase I in shes may be associated with immune function. iaminase activ-
ity within shes is found to be greatest in tissues known to have immune function, such as head, kidney, gill, and
spleen44, 47. Additionally, thiaminase activity increased in carp injected with a pathogenic bacterium (Aeromonas
salmonicida), suggesting a relationship between thiaminase expression in sh and immune status32. iaminase I
in shes may have antimicrobial activity, which would be a signicant health benet for survival. e subcellular
localization of thiaminase in lysosomes87 is consistent with such an antimicrobial activity.
e physiological function of thiaminase I in shes remains in question at this point. Better understanding
of these functions will ultimately help our predictions of ecological determinants for thiaminase production in
shes, as well as evolutionary signicance of this fascinating enzyme.
Conclusions
e present work shows that de novo thiaminase production in shes is widespread. We found no evolution-
ary relationship with thiaminase activity. iaminase appears in Class Actinoptergyii and is present across the
entire phylogeny in both primitive and derived sh orders within this Class. Computer simulation resulted in
Figure3. Exploration of coecients that had the most support for predicting thiaminase in the multiple
regression (Fig.2). Top panels show the continuous relationships between (a) trophic level and (b) omega-3
concentration and thiaminase activity. Each point represents a sh that either does not have thiaminase (y = 0)
or had evidence of thiaminaseactivity (y = 1) in the literature or BLAST sequence, color coded by a sh’s climate
region. Each regression was t separately with freshwater only (dotted line), marine only (dashed line), or all
shes included (solid line). Bottom panels show the presence (dark bars, labeled as “yes”) or absence (light bars,
labeled as “no”) of thiaminase activity separated by (c) freshwater vs. marine, and (d) non-tropical and tropical.
Percentage of shes with thiaminase within a group is on top of the dark bars.
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the probability of all families in the Actinoptergyii Class having thiaminase, suggesting the genes have been
widely retained. Ecological factors explained the most (40%) variation in thiaminase; shes were more likely to
express thiaminase if they feed closer to the base of the food web, were high in polyunsaturated fatty acids, lived
in freshwater, and were from tropical climates.
Determining sources of thiaminase can help predict spatial and temporal patterns of the risks of thiamine
deciency globally. iamine deciency is considered one of the top emerging issues for wildlife19. As the climate
changes, certain sh communities are shiing their ranges. Species like Northern Anchovy (Engraulis mordax,
a thiaminase positive sh) have reached record abundances in the Pacic Ocean along the southern portion of
the United States88, causing thiamine deciency in Pacic Salmon74. Understanding which prey species produce
thiaminase, why they produce it, and how prey range and population sizes may change with climate is a necessary
foundation for predicting and managing thiamine deciency in sheries.
Data availability
All data and R code are publicly available onZenodo (https:// doi. org/ 10. 5281/ zenodo. 82639 18).
Received: 17 August 2023; Accepted: 11 October 2023
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Acknowledgements
We thank K. Klymus and R. Betancur for help with phylogenies, and the Chinook Salmon thiamine working
group for feedback on the analysis. D. Honeyeld provided excellent insight on thiaminase status of shes in our
database and on the manuscript, and C. Kra helped us reframe the paper. Any use of trade, rm, or product
names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Author contributions
CRediT(Contributor Roles Taxonomy) roles in the study were as follows: F.E.R., Conceptualization; F.E.R. and
C.A.R., Data curation; F.E.R., Formal analysis; F.E.R., C.A.R., D.M.W., and D.E.T., Methodology; F.E.R., Writ-
ing – original dra; F.E.R., C.A.R., D.M.W., and D.E.T., Writing—review & editing.
Competing interests
e authors declare no competing interests.
Additional information
Supplementary Information e online version contains supplementary material available at https:// doi. org/
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... Thiamine, meanwhile, is prone to degradation by thiaminases-enzymes typically found in certain raw or fermented foods, such as fish and shellfish, but not commonly associated with grains. The absence of thiaminases in the grains ensured that the stability of thiamine and its derivatives was maintained in these mixtures [41]. ...
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Garlic (Allium sativum L.) has been extensively studied for its therapeutic and culinary applications, owing to its sulfur-containing bioactive compounds, including allicin and its derivatives. This study identified garlic varieties with high allicin content from different regions of Korea. It explores the synthesis of allithiamine, a lipid-soluble derivative of thiamine with enhanced bioavailability, by combining garlic with various grains. High-performance liquid chromatography (HPLC) analysis revealed significant regional variations in the allicin content, with Jeju garlic exhibiting the highest levels (1.04 mg/g). Among the grains tested, Avena sativa showed the most effective interaction with garlic, yielding the highest allithiamine levels (14.93 mg/g). These findings underscore the importance of grain matrix properties in optimizing the synthesis of allithiamine. This study provides valuable insights into the development of functional foods that leverage the bioactive compounds in garlic to enhance metabolic health and thiamine bioavailability.
... Similar to aquatic turtles and other piscivores, snakes fed primarily fish-based diets are at a higher risk of nutrient imbalances due to inappropriate prey items or improper storage [17]. Frequently encountered prey items such as goldfish (Carassius auratus), shiners (Notropis sp.), and minnows (Pimephales sp.) contain enzymes that render thiamin (vitamin B 1 ) metabolically inactive [19]. Unlike other deficiencies, this disorder has a rapid onset with clear clinical signs, including neurological dysfunction, whereas hypovitaminosis E may have a delayed onset of signs due to the compound's fat-soluble nature [17,18]. ...
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The federally threatened eastern indigo snake (EIS; Drymarchon couperi) is an active ophiophagous snake once found throughout the southeastern US that is now restricted to southeastern Georgia and peninsular Florida. There are concerns regarding the potential impact of overconditioning or nutrient imbalances on the reproductive fitness of breeding programs due to the occurrence of dystocia in nulliparous dams and the differing nutritional profiles of domestic and free-range prey species. We examined the blood cell counts, plasma biochemistry, and circulating plasma levels of nutrients in snakes consuming standard or experimental diets over a one-year period. Treatments included mixed whole laboratory animal prey (rodents, birds), whole prey ground into sausage, or a sausage with similar nutrient profiles measured in prey found in free-ranging EIS stomach contents. Plasma concentrations of vitamin E (maximum = 0.80 mg/mL) and selenium (maximum = 371 ng/mL) were within range of and exceeded values reported in free-ranging EIS (0.0365 mg/mL and 107.45 ng/mL), while plasma vitamin D3 concentrations (maximum = 64.1 ng/mL) were typically below minimum values observed in free-ranging EIS (46 ng/mL). Additional dietary studies initiated on juvenile subjects throughout reproductive maturity would provide an ideal experimental design for studying the linkage between reproductive health and nutrition.
... However, it is not known if prey items contributing to thiaminase I activity are more common in the Baltic Sea compared to Lake Vänern or the North Atlantic systems. Interestingly, recent studies show that prey items that have potential thiaminase I activity are also rich in omega 3-FAs (Rowland et al. 2023). Hence, future research should investigate whether it is the fat content, the thiaminase I activity, or some other factor that causes thiamine deficiency in the top-consumer fish. ...
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Thiamine deficiency is an ongoing issue across the Northern Hemisphere, causing reproductive failure in multiple salmonid populations. In the Baltic Sea, a large brackish water system in northern Europe, previous research has suggested that this deficiency is associated with lipid‐rich diets with a high proportion of docosahexaenoic acid (DHA, 22:6n‐3). The mechanism proposed is that a diet abundant in highly unsaturated fatty acids, such as DHA, depletes thiamine as an antioxidant defense in adult salmonids, rather than allocating thiamine to the offspring. In light of this existing hypothesis, we here explore the relationship between diet history and the related fatty acid (FA), profiles, and thiamine status of Atlantic salmon (Salmo salar L.) in three systems: the Baltic Sea, the North Atlantic Ocean, and Lake Vänern. Atlantic salmon inhabiting each system is known to have unique feeding histories and thiamine status. Our results showed that despite extensive sampling effort and distinct FA profiles, indicative of their diverse diets, there were no correlations between any FAs, including DHA, and the thiamine status of these populations. This finding does not support the above‐mentioned hypothesis that diets rich in easily oxidized FAs would lead to lower thiamine concentrations in salmon tissues. Additionally, we found that changes in the salmon FA profiles throughout their life cycle are consistent for both low‐thiamine populations from the Baltic Sea and medium‐thiamine populations from North Atlantic Ocean, suggesting that these changes might not be involved in thiamine deficiency development.
Chapter
Vitamins and vitamin-like substances are vital for numerous physiological processes, including cellular function, gene expression, and development. As these nutrients cannot be synthesized adequately by fish and crustaceans, they must be obtained through the diet to support growth and survival. The metabolism of vitamins and vitamin compounds in fish and crustaceans involves complex pathways and regulatory mechanisms. The dietary sources of vitamins and vitamin-like substances are plant- and animal-based ingredients. Dietary supplementation with vitamins and/or vitamin-like compounds is necessary to support optimal growth, immune response, antioxidant defense, and stress tolerance in fish and crustaceans. The primary purpose of this book chapter is to summarize the requirements for crustaceans, which are less focused in the literature. It also investigates the roles of vitamins in fish and crustaceans beyond requirements, focusing on molecular-level functions and nutrient interactions. Although progress has been made, further research is necessary to fully understand the impact of vitamins on aquaculture nutrition.
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Thiaminase (EC 2.5.1.2) is an enzyme that cleaves thiamine into its pyrimidine and thiazole moieties resulting in thiamine deficiency in various organisms. It is classified into two main types: Thiaminase I and Thiaminase II defined by the nucleophile used in the mechanism by which the cleavage is accomplished. Thiaminase I employs a variety of nucleophiles including, amines and sulfhydryl compounds while thiaminase II exclusively uses water for hydrolysis of thiamine. The crystal structure of thiaminase I reveals a deep cleft that accommodates thiamine and highlighting important residues that assists in its breakdown. This process disrupts thiamine’s biological function leading to metabolic disturbances. Physiochemically, thiaminase exhibits specific properties that influence its activity, such as optimal pH of 4-8 and temperature ranges from 40-60◦c. Thiaminase is naturally found in various organisms including certain plants, bacteria and marine animals where it can act as an antinutrient. Consequently, thiaminase activity elicits life threatening conditions such as beriberi and Wernicke-korsakoff syndrome due to thiamine depletion. Furthermore, this can lead to significant neurological conditions, including ataxia and peripheral neuropathy. Interestingly, studies have suggested that native thiaminase and Polyethylene glycol-modified (PEGylated) thiaminase I enzyme may have potential applications in cancer therapy by impairing mitochrondrial respiration in cancer cells. This suggests that thiaminase may likely be a potential source of novel cancer chemotherapeutic agent via the impairment of DNA synthesis and energy metabolism in cancerous cells.
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Thiamine (vitamin B1) is an essential vitamin serving in its diphosphate form as a cofactor for enzymes in the citric acid cycle and pentose-phosphate pathways. Its concentration reported in the pM and nM range in environmental and clinical analyses prompted our consideration of the components used in pre-analytical processing, including the selection of filters, filter apparatuses, and sample vials. The seemingly innocuous use of glass fiber filters, glass filter flasks, and glass vials, ubiquitous in laboratory analysis of clinical and environmental samples, led to marked thiamine losses. 19.3 nM thiamine was recovered from a 100 nM standard following storage in glass autosampler vials and only 1 nM of thiamine was obtained in the filtrate of a 100 nM thiamine stock passed through a borosilicate glass fiber filter. We further observed a significant shift towards phosphorylated derivatives of thiamine when an equimolar mixture of thiamine, thiamine monophosphate, and thiamine diphosphate was stored in glass (most notably non-silanized glass, where a reduction of 54% of the thiamine peak area was observed) versus polypropylene autosampler vials. The selective losses of thiamine could lead to errors in interpreting the distribution of phosphorylated species in samples. Further, some loss of phosphorylated thiamine derivatives selectively to amber glass vials was observed relative to other glass vials. Our results suggest the use of polymeric filters (including nylon and cellulose acetate) and storage container materials (including polycarbonate and polypropylene) for thiamine handling. Losses to cellulose nitrate and polyethersulfone filters were far less substantial than to glass fiber filters, but were still notable given the low concentrations expected in samples. Thiamine losses were negated when thiamine was stored diluted in trichloroacetic acid or as thiochrome formed in situ, both of which are common practices, but not ubiquitous, in thiamine sample preparation.
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Thiamine (vitamin B 1 ) metabolism is an important driver of human and animal health and ecological functioning. Some organisms, including species of ferns, mollusks, and fish, contain thiamine-degrading enzymes known as thiaminases, and consumption of these organisms can lead to thiamine deficiency in the consumer. Consumption of fish containing thiaminase has led to elevated mortality and recruitment failure in farmed animals and wild salmonine populations around the world. In the North American Great Lakes, consumption of the non-native prey fish alewife ( Alosa pseudoharengus ) by native lake trout ( Salvelinus namaycush ) led to thiamine deficiency in the trout, contributed to elevated fry mortality, and impeded natural population recruitment. Several thiaminases have been genetically characterized in bacteria and unicellular eukaryotes, and the source of thiaminase in multicellular organisms has been hypothesized to be gut microflora. In an unexpected discovery, we identified thiaminase I genes in zebrafish ( Danio rerio ) with homology to bacterial tenA thiaminase II. The biochemical activity of zebrafish thiaminase I (GenBank NP_001314821.1) was confirmed in a recombinant system. Genes homologous to the zebrafish tenA-like thiaminase I were identified in many animals, including common carp ( Cyprinus carpio ), zebra mussel ( Dreissena polymorpha ) and alewife. Thus, the source of thiaminase I in alewife impacting lake trout populations is likely to be de novo synthesis.
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Thiamine (vitamin B1) deficiency of salmonines, caused by an abundant lipid-rich fish diet and consequently, the abundance of polyunsaturated fatty acids, is called the M74 syndrome in the Baltic Sea. Because of its deleterious effects on wild Atlantic salmon (Salmo salar) stocks and progeny production in fish cultivation, a model was developed to derive the annual female-specific mortality percentages of yolk-sac fry (YSFM) from the free thiamine concentrations of unfertilized eggs. In years with a high M74 incidence, thiamine-deficient females were larger, with a larger condition factor (CF) than non-M74 females. Otherwise, M74 females were generally smaller. The mean CF of M74 females was in most years higher than that of non-M74 females. The model compiled enables the cost-effective estimation of YSFM of individual female salmon, without the incubation of eggs and hatched yolk-sac fry for several months, thus benefitting the management of salmon stocks and their efficient utilization.
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Vitamin B1 (thiamin) is an essential coenzyme for all cells. Recent findings from experimental cell biology and genome surveys have shown that thiamin cycling by plankton is far more complex than was previously understood. Many plankton cells cannot produce thiamin (are auxotrophic) and obligately require an exogenous source of thiamin or one or more of 5 different thiamin-related compounds (TRCs). Despite this emerging evidence for the evolution among plankton of complex interactions related to thiamin, the influence of TRCs on plankton community structure and productivity are not understood. We report measurements of three dissolved TRCs 4-amino-5-aminomethyl-2-methylpyrimidine (AmMP), 5-(2-hydroxyethyl)-4-methyl-1,3-thiazole-2-carboxylic acid (cHET), and 4-methyl-5-thiazoleethanol (HET) that have never before been assayed in seawater. Here we characterize them alongside other TRCs that were measured previously [thiamin and 4-amino-5-hydroxymethyl-2-methylpyrimidine (HMP)], in depth profiles from a latitudinal transect in the north Atlantic in March 2018. TRC concentrations ranged from femptomolar to picomolar. Surface depletion relative to a maximum near the bottom of the euphotic zone and low concentrations at deeper depths were consistent features. Our observations suggest that when bacterial abundance and production are low, TRC concentrations approach a steady state where TRC production and consumption terms are balanced. Standing stocks of TRCs also appear to be positively correlated with bacterial production. However, near the period of peak biomass in the accumulation phase of a bloom we observed an inverse relationship between TRCs and bacterial production, coincident with an increased abundance of Flavobacteria that comparative genomics indicates could be vitamin B1 auxotrophs. While these observations suggest that the dissolved pool of TRCs is often at steady state, with TRC production and consumption balanced, our data suggests that bloom induced shifts in microbial community structure and activity may cause a decoupling between TRC production and consumption, leading to increased abundances of some populations of bacteria that are putatively vitamin B1 auxotrophs.
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The California Current Ecosystem (CCE) has been in a primarily warm state since 2014, and this pattern largely continued into 2019. The CCE experienced a mild El Niño from late 2018 into 2019, and basin-scale indicators reflected this condition (elevated Oceanic Niño Index and Pacific Decadal Oscillation; Table 1). Despite the El Niño, spring upwelling was above average between southern California and Washington but below average in Baja California. Sea surface temperature (SST) was mostly near the long-term average between Washington and southern California, while surface chlorophyll a was above average in Oregon/Washington and slightly below average in most of California in spring/early summer 2019. SST changed dramatically by fall 2019, however, as a marine heatwave (MHW) that formed in May 2019 in the Gulf of Alaska impinged upon the West Coast of the United States. The expansion of the 2019 MHW followed a similar pattern to the 2014-2015 MHW. Off Oregon, the zooplankton assemblage was in a mixed state as southern copepods were close to average while northern copepod abundances were positively anomalous in 2019. Off northern California, Euphausia pacifica body size was smaller than average. Euphausid abundances were well below average in both central and southern California in 2019. In the north, winter 2019 larval fish abundances were high and dominated by offshore taxa that are associated with warm conditions; spring larval and post-larval biomass were close to average; and spring surface trawls observed record-high Market Squid (Doryteuthis opalescens) abundances. The single most important finding in 2019 was that Northern Anchovy (Engraulis mordax) adults and larvae were at record-high abundances in central and southern California. In central California, Market Squid and Pacific Sardine (Sardinops sagax) were also abundant. In southern California warm-water mesopelagic fishes have been very abundant since 2014, and this trend continued into 2019. Indicators for future salmon returns were mixed in 2019. The abundance of northern copepods, which correlate positively with returns, was high. However, abundances of yearling Chinook Salmon (Oncorhynchus tshawytscha) and Coho Salmon (O. kisutch), which also correlate positively with returns, were slightly below average. Winter ichthyoplankton was comprised mostly of southern or offshore taxa, which bodes poorly for future salmon returns. Seabird (Common Murre [Uria aalge]; Brandt’s Cormorant [Phalacrocorax penicillatus]; and Pelagic Cormorant [Phalacrocorax pelagicus]) productivity off Oregon was the highest in years in both 2018 and 2019. In 2018, Common Murre chicks in Oregon consumed large amounts of young of the year flatfish, a prey item known to be conducive to chick survival. Despite the prevalence of Northern Anchovy in central California, Common Murre and Brand’s Cormorant production was low in Southeast Farallon Island as these birds were unable to feed optimally on Northern Anchovy, and there was a scarcity of more appropriate prey such as young of the year flatfishes or rockfishes. California Sea Lions (Zalophus californianus), by contrast, benefitted greatly from the large Northern Anchovy forage base. In 2018, live pup count, weight, and growth rate were anomalously high, and Northern Anchovy remains occurred in >85% of scat samples. Humpback Whale (Megaptera novaeangliae) sightings were also very high in 2019, likely because Humpback Whales congregated near shore to feed on Northern Anchovy.
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Vitamin B1 (thiamin) deficiency is an issue periodically affecting a wide range of taxa worldwide. In aquatic pelagic systems, thiamin is mainly produced by bacteria and phytoplankton and is transferred to fish and birds via zooplankton, but there is no general consensus on when or why this transfer is disrupted. We focus on the occurrence in salmon (Salmo salar) of a thiamin deficiency syndrome (M74), the incidence of which is highly correlated among populations derived from different spawning rivers. Here, we show that M74 in salmon is associated with certain large-scale abiotic changes in the main common feeding area of salmon in the southern Baltic Sea. Years with high M74 incidence were characterized by stagnant periods with relatively low salinity and phosphate and silicate concentrations but high total nitrogen. Consequently, there were major changes in phytoplankton and zooplankton, with, e.g., increased abundances of Cryptophyceae, Dinophyceae, Diatomophyceae and Euglenophyceae and Acartia spp. during high M74 incidence years. The prey fish communities also had increased stocks of both herring and sprat in these years. Overall, this suggests important changes in the entire food web structure and nutritional pathways in the common feeding period during high M74 incidence years. Previous research has emphasized the importance of the abundance of planktivorous fish for the occurrence of M74. By using this 27-year time series, we expand this analysis to the entire ecosystem and discuss potential mechanisms inducing thiamin deficiency in salmon.
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Thiamin (vitamin B1) is mainly produced by bacteria and phytoplankton and then transferred to zooplankton and higher trophic levels but knowledge on the dynamics of these processes in aquatic ecosystems is lacking. Hence, the seasonal variation in thiamin content was assessed in field samples of copepods and in pico-, nano- and micro-plankton of two size classes (0.7–3 µm and > 3 µm) collected monthly in the Baltic Sea during 3 years and in the Skagerrak during 1 year. Copepods exhibited species-specific concentrations of thiamin and Acartia sp. had the highest carbon-specific thiamin content, at both locations. Even members of the same genus, but from different systems contained different levels of thiamin, with higher thiamin content per specimen in copepods from the Skagerrak compared to congeners from the Baltic Sea. Furthermore, our results show that the small plankton (0.7–3 µm) had a higher carbon-specific thiamin content compared to the large (> 3 µm). Additionally, there was a large seasonal variation and thiamin content was highly correlated comparing the two size fractions. Finally, there was an overall positive correlation between thiamin content in copepods and plankton. However, for periods of high thiamin content in the two size fractions, this correlation was negative. This suggests a decoupling between thiamin availability in pico-, nano- and micro-plankton and zooplankton in the Baltic Sea. Knowledge about concentrations of this essential micronutrient in the aquatic food web is limited and this study constitutes a foundation for further understanding the dynamics of thiamin in aquatic environments.
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Thiamine deficiency complex (TDC) is a disorder resulting from the inability to acquire or retain thiamine (vitamin B1) and has been documented in organisms in aquatic ecosystems ranging from the Baltic Sea to the Laurentian Great Lakes. The biological mechanisms leading to TDC emergence may vary among systems, but in fishes, one common outcome is high mortality among early life stages. Here, we review the causes and consequences of thiamine deficiency in fishes and identify potential solutions. First, we examine the biochemical and physiological roles of thiamine in vertebrates and find that thiamine deficiency consistently results in impaired neurological function across diverse taxa. Next, we review natural producers of thiamine, which include bacteria, fungi, and plants, and suggest that thiamine is not currently limiting for most animal species inhabiting natural aquatic environments. A survey of historic occurrences of thiamine deficiency identifies consumption of a thiamine-degrading enzyme, thiaminase, as the primary explanation for low levels of thiamine in individuals and subsequent onset of TDC. Lastly, we review conservation and management strategies for TDC mitigation ranging from evolutionary rescue to managing for a diverse forage base. As recent evidence suggests occurrences of thiamine deficiency may be increasing in frequency, increased awareness and a better mechanistic understanding of the underlying causes associated with thiamine deficiency may help prevent further population declines.
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The usual definition of R² (variance of the predicted values divided by the variance of the data) has a problem for Bayesian fits, as the numerator can be larger than the denominator. We propose an alternative definition similar to one that has appeared in the survival analysis literature: the variance of the predicted values divided by the variance of predicted values plus the expected variance of the errors.