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Enregistrement W4389777452 · doi:10.22541/au.165451878.80994363/v4

Rapid diversification of gray mangroves ( Avicennia  marina ) driven by geographic isolation and extreme environmental conditions  in the Arabian Peninsula

2023· preprint· en· W4389777452 sur OpenAlexfundno aff
Guillermo Friis, Edward G. Smith, Catherine E. Lovelock, Alejandra Ortega, Alyssa Marshell, Carlos M. Duarte, John A. Burt

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenetic diversity and population structure
Établissements canadiensnon disponible
Organismes subventionnairesKing Abdullah University of Science and TechnologyMinistry of EnvironmentYork UniversityNew York University Abu Dhabi
Mots-clésAvicennia marinaMangroveBiological dispersalGeographyEcologyIsolation by distancePeninsulaLast Glacial MaximumGenetic structurePopulationPhylogeographyGlacial periodBiologyPhylogenetic treeGenetic diversityPaleontology

Résumé

récupéré en direct d'OpenAlex

Running title: Evolution of Arabian mangrovesGuillermo Friis*, Edward G. Smith, Catherine E. Lovelock, Alejandra Ortega, Alyssa Marshell, Carlos M. Duarte, John A. Burt*Corresponding author: Center for Genomics and Systems Biology, New York University — Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates; Email: guillefriis@gmail.com; Tel: +97126286739. AbstractBiological systems occurring in ecologically heterogeneous and spatially discontinuous habitats provide an ideal opportunity to investigate the relative roles of neutral and selective factors in driving lineage diversification. The gray mangroves (Avicennia marina) of Arabia occur at the northern edge of the species’ range and are subject to variable, often extreme, environmental conditions, as well as historic large fluctuations in habitat availability and connectivity resulting from Quaternary glacial cycles. Here, we analyze fully sequenced genomes sampled from 19 locations across the Red Sea, the Arabian Sea and the Persian/Arabian Gulf (PAG) to reconstruct the evolutionary history of the species in the region, and to identify adaptive mechanisms of lineage diversification. Population structure and phylogenetic analyses revealed marked genetic structure correlating with geographic distance and highly supported clades among and within the seas surrounding the Arabian Peninsula. Demographic modelling showed times of divergence consistent with recent periods of geographic isolation and low marine connectivity during glaciations, suggesting the presence of (cryptic) glacial refugia in the Red Sea and the PAG. Significant migration was detected within the Red Sea and the PAG, and across the Strait of Hormuz to the Arabian Sea, suggesting gene flow upon secondary contact among populations. Genetic‐environment association analyses revealed high levels of adaptive divergence, and detected signs of multi-loci local adaptation driven by temperature extremes and hypersalinity. These results support a process of rapid diversification resulting from the combined effects of historical factors and ecological selection, and reveal mangrove peripheral environments as relevant drivers of lineage diversity.IntroductionLineage diversification involves both neutral and selective factors, and elucidating their relative roles in the process of evolutionary divergence is essential to understand the mechanisms underlying the early stages of speciation (Coyne & Orr, 2004; Nosil, 2012). Evolutionary divergence may result from the accumulation of genetic differences caused by drift in geographic isolation or isolation-by-distance (IBD, Wright, 1943, 1946), a mode of divergence driven by neutral factors (Mayr, 1954, 1963). In turn, geographic variation in environmental conditions can result in divergent selection, the diversifying process that drives ecological speciation (Coyne & Orr, 2004; Darwin, 1859; Nosil, 2012). In ecological speciation models, reproductive barriers arise as a by-product of cumulative, ecologically adaptive changes (Mayr, 1947; Rundle & Nosil, 2005; Schluter, 2000), enabling genome‐wide differentiation at both neutral and selected loci (Funk, Egan, & Nosil, 2011; Nosil, Egan, & Funk, 2008; Shafer & Wolf, 2013; Wang & Bradburd, 2014). Ecological speciation in geographic isolation is theoretically uncontroversial, and deemed common in nature as a mechanism maintaining lineage diversity upon secondary contact (Keller & Seehausen, 2012; Nosil, 2012; Rundle & Nosil, 2005). However, whether environment-driven processes of lineage diversification occur frequently in nature in the absence of long-term geographic isolation and reduced gene flow remains debated in evolutionary research (Bolnick & Fitzpatrick, 2007; Fitzpatrick, Fordyce, & Gavrilets, 2008; Foote, 2018). The interactions between selection and the stochastic effects derived from processes such as founder events, bottlenecks and genetic drift also remain unclear, and difficult to assess in natural systems (Barton & Charlesworth, 1984; Burri et al., 2015; Kliber & Eckert, 2005). Biological systems occurring at the species' range edges, which are frequently extreme and environmentally diverse habitats, are suitable models to investigate questions related to lineage diversification. The environment at the edges of species’ range tends to be stressful and spatially discontinuous, as well as temporally unstable (Lesica & Allendorf, 1995), often resulting in dynamic settings of multiple isolated populations subject to strong differential selection. The severe and stochastic character of peripheral environments is hypothesized to generate strong selective interplay between adaptation and neutral processes (Hardie & Hutchings, 2010), providing an ideal opportunity for speciation research. One such system is provided by gray mangrove populations in the Arabian Peninsula (Avicennia marina var. marina). The gray mangrove has the broadest distribution of any mangrove species (Hogarth, 2015; Spalding, Kainuma, & Collins, across the and the as as and New & 2015; et al., et al., and to their habitat which a for the of and in selection and & 2013; et al., The Arabian Peninsula of the edges of the species’ distribution et al., as well as a stressful habitat by extreme and often extreme factors to be for mangrove Lovelock, & & Arabian marine are also environmentally diverse both and the the which the Red Sea, the marine system of and with the temperature and in the has high as a result of and high et al., & the Persian/Arabian Gulf to as to the of the Arabian populations are subject to to and the range of in the the & and the Arabian Sea and Sea of which in with has and that are by as a result of the resulting in environmental conditions The Arabian Peninsula has large fluctuations in and environmental conditions that the of the region, in the of the Red Sea and the et al., the the Red Sea has to the the Strait of that at times of glacial as low as of that resulting in in and temperature within the Red Sea as well as isolation at times et al., periods during the glacial the the Red Sea to the Arabian Sea was and the local levels levels et al., In models that the was during the of the marine the the northern the with the In as an the Arabian Sea has migration of levels during glacial geographic The of extreme environmental conditions, differential changes in habitat and dynamic barriers to gene the seas the Arabian Peninsula of the marine environments in the with a high for speciation driven by both neutral and selective factors et al., the phylogenetic for the of A. marina and species for & et al., & the gray mangrove populations from the Arabian in analyses & et al., et al., & 2000), that their evolutionary and remain The drivers and of local adaptation and lineage diversification in A. marina also remain both in Arabia and across Here, we the Arabian gray mangrove to extreme habitat conditions and heterogeneous settings genetic diversity at the highly edge of the species’ range and environmental we of structure and the evolutionary and history of the species in the Arabian Peninsula. the evolutionary history of the Arabian mangroves in mangroves from the Red Sea and during the glacial of the by a the glacial and mangroves within the seas in glacial refugia during glacial and levels we of adaptive association environmental and to the and identify environmental and in local adaptation and lineage and sampled a of of marina from 19 of the Arabian Peninsula and from to be as was from by at and in for to for of the was from the to the and with to and sequenced in a of resulting in a and of was by with & and was with resulting in a of between and the for A. marina et al., the in the & and with marked also with the from the et al., to a of in the et al., we of a range of between and or with a a of at of and et al., 2013; et al., The resulting to as of and with a of and a of The et al., was to the absence of in of sampled was also the and selected The was and for analyses Population structure structure in Arabian we a the from loci from the with & and of in of a for highly from with a of was also to by the of with of for also from the with a in structure we & to and selection, a of resulting in a of and The was with the 2012). the as in the we of divergence in Arabian mangroves a as in & 2014). selected for genetic structure to and the times with from to among and with et of geographic variation in Arabian the in the and the was also to for genetic distance with the & geographic was the & and was between genetic and geographic was also and for In we to & among sampled populations. was by of as in et was to assess the genetic structure of Arabian mangroves the clades in phylogenetic analyses results and sampled populations within also the and and the diversity for the from & we the to the of the gray mangrove marina var. the for the analyses was the & the for and diversity In of at of the to The was The was as support was the by and with also the & as in the and support The was to the Population and history analyses the in & to and among mangroves and to the of the isolation in glacial refugia in the seas of models the evolutionary in the phylogenetic with and for the Red Sea, the the Sea of and the Arabian Peninsula. populations as lineage for of The was as in models to times of divergence et al., et al., et al., models a of populations we to the of models resulting from the of the for of the effects from divergent evolutionary we for a of populations geographic of populations and phylogenetic analyses et al., et al., 2018). the Red Sea, the populations of and in models with of the for a of from to and a in which from Red Sea by of the and populations. the Red Sea was the glacial during the barriers to gene flow and times to In the of the PAG, for lineage differentiation a of recent differentiation the of the the glacial and a of early lineage diversification in which populations within the isolated in glacial we the times to or or to a of et al., populations in the from the northern from the and from the Sea of a of to a diversification and models in which the recent to or to of was the and divergence in glacial refugia In the for the Arabian the populations of and as of the Red Sea, the Arabian Sea and the PAG, the and was and divergence times to of of the Arabian with was to in models et al., was gene migration a with migration to and an with migration we the from the to the of of of the analyses from the In loci and of in of for with a of was are for and with of for from the of and for the Red Sea, the and the Arabian Peninsula The with & the of as by the with the of the models of the with was times and the of with the was as the identify the that the we the of the the we a was by the in and for of the of analyses for & was to historical of gene flow between mangrove populations. The was the as for and diversity with the of as can be for in the for in of edges of the in between populations was by the & 2012). The of migration edges was by with for migration edge a from the that the are gene with association association to identify environmental and to their to of local adaptation in mangroves from the Arabian Peninsula. a & 2011; & as in the we environmental for the to the and populations. the availability of for a high of both and marine environmental we for a ecologically to of and extreme across the Arabian Peninsula selected to their to mangrove & marine from the & of and of temperature of for mangrove (Hogarth, also from & & of the range of temperature from the range of a for and environments temperature of and temperature of both relevant ecological extremes in the Arabian habitats & and as a of and showed high and the was a of was also by a selection with an and & 2008; & 2018). The we at to analyze environmental for from the of the from the the and with of for for a of populations to be as the of The are in & & et al., et al., et al., et al., et al., et al., et al., However, may analyses association investigate the of in we the an with analyses a to for between and environmental and a in which in we for structure for structure of the of a the selection, the with the in et we the analyses to identify in divergent selection between and the of the & for structure is a common to the of to historical However, may be neutral genetic variation with environmental divergence, resulting in a of and reduced to of selection with environmental et al., Fitzpatrick, & in a of analyses in a range of and that for structure for to a of the In to for history effects in a in the of detected loci suggesting that may be effects to an of the for resulting from between neutral differentiation and ecological variation also derived from for detected in both the and the of was for and the for multiple was to the the of in of the models, and for loci in the and we the of et al., to of loci and identify within In to differential association of loci at the we a with the of the as structure and genetic diversity revealed marked levels of of the a of that the geographic distribution of the sampled populations. from the Red Sea and the high within the of the Arabian Sea also showed marked genetic populations at the and and from the genetic populations from the Sea of at the and to the PAG. The of a the The and also revealed marked differentiation within and of the as well as populations from the Arabian Sea, to a of the Red Sea consistent with the populations the Red Sea from the Arabian Sea and the PAG. The for also revealed the populations from the of the Arabian Sea and as a with populations the and the of populations from the northern of the and as a populations from northern Red Sea and also as a a of with with populations from the Red Sea and and to a In the for populations from the Sea of and with showed levels of with the genetic of the which and populations from Red Sea and from the Red Sea levels of with the Red Sea loci revealed a between and genetic among sampled populations between geographic and genetic showed a highly consistent with the results of the and from to with the between Red Sea and Arabian Sea populations. within the Red Sea, and within the the Gulf of showed levels of differentiation to between was to investigate the genetic structure of Arabian The results showed differences between phylogenetic clades for of the between populations for of the with the of within populations. and revealed that genetic variation both among clades and among populations within revealed that of the genetic variation is among populations and diversity revealed levels of genetic in Arabian with levels of at and as in the showed diversity phylogenetic was consistent with the and marked differentiation between and within with the populations sampled in clades with high Arabian mangrove populations in clades or phylogenetic the Red Sea lineage the Arabian Sea lineage and the the Sea of lineage the Red the phylogenetic revealed a of consistent with the geographic distribution of the sampled with the northern and and populations and from of the and and populations from Red Sea showed differentiation and a The Arabian the populations and occurring in and as the of the which Sea of and populations. was clades the populations of the northern of the and from of the and and the Sea of and of which occur of the Strait of as phylogenetic with the clades as in the showed in with a with the geographic distribution of the populations. in the Red Sea, northern populations and a to the populations and with the by and populations from the Red Sea as the the PAG, as the to the populations of the and of in the support Population and history of the Arabian gray models In the Red Sea, the with the revealed a for the populations an isolation with migration and a to consistent with a process of lineage among was high from in the Red Sea at the the migration by of and to of in the In the of the the Sea of the that also revealed a of in isolation with migration to the glacial of gene flow detected among in the Red Sea the also to in the in the In the with of of the Arabian the to the migration and revealed times of and & to of historical gene flow among Arabian mangrove populations. with consistent with the with with migration to of the signs of both historical and gene flow among mangrove populations. of migration between the lineage of and the northern populations of both the Red Sea and the highly that results be with and environmental adaptation in Arabian gray and analyses to identify loci in differential selection among Arabian gray mangrove populations. of the genetic in the The of the revealed association among Red Sea mangroves showed the populations with and in the of the Sea of and In the Arabian Sea populations showed high association with Red Sea and mangroves showed association the with In the environmental the genetic for structure revealed a of variation among and within populations from northern showed high with populations of the and Arabian Sea, as well as from Red Sea, showed In the of the to with a and to and that The and the to for signs of selection the in et The to of the for an of to of by the In turn, the of the for and from the and for loci The analyses revealed genetic with or of the environmental in both the and the within with or gene adaptive is at the we a the of the loci The of the revealed by from the Red Sea a with northern populations and high Red Sea and to the of and Red Sea from the of the Arabian Sea and showed a with with a In populations from the Sea of low association and the of from the showed an to of the Arabian Sea, also the and in the in the northern populations in the showed with differences among association occurring the Red Sea and divergence between The results of the to investigate the of the in are in the genetic structure and phylogenetic support a process of lineage diversification consistent with and geographic isolation Population structure analyses revealed marked levels of divergence across a and a neutral signs of and of genetic that the geographic distribution of mangroves across the seas surrounding the Arabian Peninsula. The analyses also showed genetic differentiation between the populations from the the and the of the of the Red as well as between the northern and of the PAG. levels of between the populations of the and the Sea of also suggesting lineage or gene flow between revealed a between neutral genetic differentiation and geographic distance among populations. However, a showed of genetic distance that with geographic a was among populations within the Red Sea and the PAG, was across suggesting that drift has gene flow of genetic differentiation at and between of populations by geographic barriers & of of and to within and between in the PAG, suggesting of isolation from geographic distance also within These results support the of in the differentiation of mangrove also that geographic barriers to gene flow to differentiation at geographic However, barriers are the geographic distribution of the Arabian between and divergence in isolated populations is in revealed a of among Arabian mangrove and phylogenetic occurring in the Red Sea, the Arabian Sea and the PAG, with the the populations of the Sea of of phylogenetic divergence among Arabian for marine et al., et al., et al., 2015; et al., Smith, & with the geographic distribution of the species and with barriers to gene flow et al., et al., However, marine in Arabia levels of differentiation as the gray mangrove at a geographic et al., et al., et al., 2015; et al., et al., et al., suggesting a process of differentiation occurring within the of the Red Sea and the PAG. structure and phylogenetic support the of mangroves within the of the Arabian Peninsula during glacial in long-term geographic and that of the Red Sea as glacial refugia for mangroves et al., as has for marine of the et al., et al., is in the of the PAG, the presence of suitable habitats was during glacial the of the historic to the Sea of the Strait of Hormuz to occur populations from the of the as related to the populations of the Sea of the of the Strait of with of the northern of also a of differentiation in glacial refugia populations in the isolated as the as to a of recent the the northern populations the recent phylogenetic et al., Demographic lineage divergence in (cryptic) glacial of models with to identify the which mangroves from the Red Sea, the and the Arabian Peninsula the Red Sea, revealed that the was consistent with a occurring during a the glacial suggesting that mangroves may the Red Sea the Strait of to the et al., and in the Red Sea are by changes in the and also by periods of and changes in and the results that the levels of and phylogenetic diversity in the Red Sea are the of historical changes in of history such as and geographic also in environmental conditions et al., et al., In the of the PAG, the that revealed a of to to the and the of the the presence of glacial refugia within the by phylogenetic changes in environmental conditions during glacial in of and temperature may to marine glacial periods has for any marine in the PAG. However, conditions of in marine extreme, may suitable for gray which occur in a range of of historic at times of the the of and in with the to are northern and as well as in the Strait of A. marina in a of & & or conditions that of the during glacial of marine glacial refugia for such as and in the northern of the the or the Peninsula et & et al., & 2007; & suggesting that the of local conditions in marine environments during glacial periods may be In to a occurring to the the revealed gene flow between and between the and the Sea of The also detected levels of gene flow between both and suggesting that migration occur as mangrove populations isolated and also the the of the barriers such as the Strait of Hormuz or the marine between and the northern and be as for mangrove as has for species & 2004; et al., with and genetic distance among populations of the northern and suggesting that may and that results may to be for the supported a recent common evolutionary and for the mangroves of The was with a process of diversification occurring the of the driven by geographic isolation and changes in environmental conditions and connectivity resulting from the of the between the populations of the and the Arabian Sea support the of a lineage to the The between the Red Sea by and the Sea lineage at the of the glacial and and at to times the of the Red Sea to the and analyses detected a of gene among and suggesting a of reproductive barriers among upon secondary analyses reveal a process of lineage diversification in the gray mangroves of the Arabian Peninsula that the to glacial for the gray mangrove has at in et al., et al., a that we in analyses as of models was a et al., However, in populations of the to range from to & which that the diversification process may as as as early as in divergence times in systems has with large of & 2018). such as with the in the is to that consistent between models and phylogenetic the for However, the and of phylogenetic and neutral genetic structure in Arabian with the in models, support a diversification process occurring the These divergence within glacial refugia as a in the Arabian mangrove results be in the such as and for results that diversification the the Arabian mangroves system a process of occurring at of to a levels of divergence are at the edge of species’ reduced and habitat can to rapid differentiation to drift in isolation and divergent selection (Lesica & Allendorf, & genetic structure in the of the species distribution to populations of the gray mangrove of the has et al., of speciation in mangrove systems of isolation and gene flow to fluctuations in during glacial periods et al., to may in the of the and the Red analyses reveal multi-loci adaptive divergence driven by environmental extremes In a and a for environmental factors in mangrove related to temperature extremes and and of the in The of by environmental was to the in to in from to et al., et al., et al., & et al., of their to the association the of and revealed adaptive divergence among Red Sea which a of from to in for populations of the the highly divergent association with to the populations of the of the Arabian Sea and These association that local adaptation has a in the differentiation of the mangrove in the Arabian Peninsula for with or the to detected at relevant for adaptation to the extreme and habitats of the seas the Arabian Peninsula. as that in the of within the a in maintaining during conditions & 2012; & 2005). In the gene has to be by and to be in to high et al., 2012). The gene has as a of a and to and in & of results in such as and which may to et al., are a of which are in the of and across are for during processes and & 2005). gene has to the to and in and & 2008; & 2008; et al., such as for in the of a of essential roles in and & 2005; et al., The is a structure that as a environmental periods of such as high or adaptive in et al., et al., The gene for a that a in and and in A. a by to in to stressful conditions et al., of the with relevant in to of and in et al., & A. marina et al., In the has to a in and to levels and et al., of the of gene in revealed that the was in high conditions, suggesting a for gene in the to & are essential for the of in and and can the of et al., has that can a in the of and by the of in the of et al., The gene an related to in to as has for et al., & The gene is in to a in the to the combined as and was differentiation in & the is a of that roles in of gene In A. the gene has to in the to in association with the & 2018). In we the Arabian mangroves to analyze the of environmental and neutral in driving and lineage and revealed evolutionary and times of divergence consistent with periods of geographic isolation in glacial refugia both in the Red Sea and the PAG, the of a of was detected as suggesting that geographic distance also an in the differentiation of Arabian mangrove populations. of local adaptation detected among and within the phylogenetic for of the environmental driving adaptive divergence at geographic geographic across the gray mangrove

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Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,223
Écart entre enseignants0,203 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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Publié2023
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