Contrasting Patterns of Population Genomic Structure Between Broadcast‐Spawning and Brooding Corals in Southeast Asia DOI Creative Commons
Lutfi Afiq‐Rosli, Benjamin J. Wainwright, Jen Nie Lee

et al.

Diversity and Distributions, Journal Year: 2024, Volume and Issue: 30(12)

Published: Nov. 4, 2024

ABSTRACT Aim As climate change increasingly threatens the world's coral reefs, enhancing their resilience by improving population connectivity for key reef species is crucial ensuring persistence. Here, we evaluate genomic structure of two common species, Pocillopora acuta and Porites sp., chosen due to divergent life histories. Thousands single‐nucleotide polymorphisms (SNPs) were sequenced analysed infer regional patterns in Southeast Asia, a region that harbours tremendous diversity marine life. Location Coasts Malay Peninsula northern Borneo, covering ~1 million km 2 . Method NextRAD genotyping‐by‐sequencing 185 sp. 221 colonies. Libraries prepared on Illumina NovaSeq 6000. Genotyping involved initial quality controls, allele frequency filtering checks contamination. Genetic was assessed with Bayesian clustering, relationships between genetic variation environmental factors studied through redundancy analysis. Contemporary gene flow estimated using BayesAss. Results We observed panmixia among broadcasting populations, while brooding , acts strong barrier dispersal Malacca Strait southern South China Sea. Moreover, its seems follow current ecoregion delineation. By analysing contemporary migrant movement, can prioritise localities conservation. In particular, at Andaman Coral Coast are contemporarily isolated from other localities, Tioman identified as major larval source both species. Main Conclusion Our analyses highlight contrasting differentiation be explained disparity reproductive strategies. These findings important biodiversity managers Asia; incorporation considerations into conservation planning help safeguard ecosystem

Language: Английский

Ocean currents shape the genetic structure of a kelp in southwestern Africa DOI
Jorge Assis, João Neiva, John J. Bolton

et al.

Journal of Biogeography, Journal Year: 2022, Volume and Issue: 49(5), P. 822 - 835

Published: March 29, 2022

Abstract Aim Drivers of extant population genetic structure include past climate‐driven range shifts and vicariant events, as well gene flow mediated by dispersal habitat continuity. Their integration alternative or complementary drivers is often missing incomplete, potentially overlooking relevant processes time scales. Here we ask whether it the imprint connectivity driven oceanographic transport that best explain in a poorly understood model, forest‐forming African kelp. Location Southwestern coast Africa (Benguela current region). Taxon Laminaria pallida . Methods We estimated variability along species distributional using 14 microsatellite markers. This was compared to estimates derived from distribution modelling for Last Glacial Maximum (LGM), mid‐Holocene (MH) present, biophysical modelling. Results The structured two clusters, southern cluster with much richer (allelic richness A: 10.40 ± 0.33) unique (private alleles PA: 56.69 4.05) diversity, northern (A: 4.75 0.17; 6.70 1.45). These clusters matched well‐known biogeographical regions their transition coincided barrier formed upwelled offshore transport. No major events were hindcasted present range, suggesting stability LGM present. Main conclusions Habitat connectivity, rather than shifts, explains structure. Future environmental requirements Benguela upwelling system are projected persist even intensify, likely preserving observed patterns years come. Yet, differentiation endemicity between isolation regional oceanography, implies high conservation value biodiversity, more if considering ecological, social economic services provided kelp forests.

Language: Английский

Citations

20
Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions DOI Creative Commons
Eliza Fragkopoulou, Ester Á. Serrão, Olivier De Clerck

et al.

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: May 10, 2025

Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecological processes. However, insights into the distribution drivers remain limited, particularly for marine species. Here, we explain predict cold temperate brown macroalgae using data from 29 species a machine-learning algorithm that incorporates contemporary past climate conditions during Last Glacial Maximum (~20,000 years ago) based on niche centroid hypothesis. We apply this model 280 their global diversity. Our results show reduced away centroid, identifying as Regions with high multiple emerge, matching biogeographic richness. The mapped hotspots establish timely baselines biogeography, potential conservation, contributing Post-2020 Biodiversity Framework.

Language: Английский

Citations

0
Comparative phylogeography in a marine biodiversity hotspot provides novel insights into evolutionary processes across the Atlantic‐Indian Ocean transition DOI Creative Commons
Alicia Dalongeville, Erica S. Nielsen, Peter R. Teske

et al.

Diversity and Distributions, Journal Year: 2022, Volume and Issue: 28(12), P. 2622 - 2636

Published: April 26, 2022

Abstract Aim Intraspecific genetic variation is a key component of biodiversity, with higher diversity indicating greater resilience and population substructuring suggesting unique evolutionary histories. Comparative approaches, in which intraspecific assessed across multiple species, are powerful tools to identify hotspots, but still rarely applied at spatial scales relevant conservation planning. Here, we use comparative phylogeography understand patterns potential drivers within biodiversity ocean warming hotspot. Location The South African coastline, Indian/Atlantic Oceans. Methods A literature search was conducted obtain mitochondrial DNA cytochrome oxidase c subunit I b sequence data for 17 marine fish invertebrate species. From these data, compared averages haplotype nucleotide diversity, within‐region Φ ST between four biogeographic provinces the region. Mixed linear models tested whether environmental variability, habitat preference, or geographic location significantly influence variation. Results Average values differed both broadly displayed highest levels South‐West bioregion, also region high . Range sea surface temperatures (SSTs) only significant fixed‐effect term mixed models. Mean SST, stability SSTs since Mid‐Holocene position species' distribution all had no effect on Main conclusions Along this coastline characterized by heterogeneity, find that temperature prominent source Genetic differs bioregions, does not display core each species’ range when With elevated coast highlighted as priority area, representing differentiation taxa.

Language: Английский

Citations

16
Historic and contemporary biogeographic perspectives on range‐wide spatial genetic structure in a widespread seagrass DOI Creative Commons
Elizabeth A. Sinclair, Renae Hovey, Siegfried L. Krauss

et al.

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(3)

Published: March 1, 2023

Abstract Historical and contemporary processes drive spatial patterns of genetic diversity. These include climate‐driven range shifts gene flow mediated by biogeographical influences on dispersal. Assessments that integrate these drivers are uncommon, but critical for testing biogeographic hypotheses. Here, we characterize intraspecific diversity structure across the entire distribution a temperate seagrass to test marine concepts southern Australia. Predictive modeling was used contrast current Posidonia australis its historical during Last Glacial Maximum (LGM). Spatial estimated 44 sampled meadows from geographical species using nine microsatellite loci. distributions were similar, with exception Bass Strait. Genetic clustering consistent three currently recognized provinces largely finer‐scale IMCRA bioregions. Discrepancies found within Flindersian province southwest bioregion, while two regions admixture coincided transitional Clonal highly variable positively associated latitude. differentiation among significantly oceanographic distance. Our approach suggests how shared seascape have influenced capacity P. effectively track sea level changes natural climate cycles over millennia, in particular, recolonization Continental Shelf following LGM. bioregions reflects presence stable barriers, such as oceanic upwellings. This study highlights importance biogeography infer role shaping extant structure.

Language: Английский

Citations

6
Integrating environmental, evolutionary, and socioeconomic vulnerability to future-proof coastal conservation planning DOI
Erica S. Nielsen, Maria Beger, Romina Henriques

et al.

Biological Conservation, Journal Year: 2023, Volume and Issue: 286, P. 110302 - 110302

Published: Sept. 23, 2023

Language: Английский

Citations

4
The contribution of intraspecific variation to future climate responses of brown algae DOI
Jingjing Li, Zhengyi Liu,

Wang‐Hui Song

et al.

Limnology and Oceanography, Journal Year: 2023, Volume and Issue: 69(1), P. 53 - 66

Published: Oct. 16, 2023

Abstract Intraspecific variation, which may arise through the interplay between environmental heterogeneity and adaptive has consequences for resilience of species to climate change. Here, we revealed levels intraspecific genomic variation its causes in a widespread brown alga ( Sargassum horneri ). Our datasets included both benthic floating samples from 20 populations sampled along latitudinal gradient Chinese marginal seas. We prepared two datasets: 1) 4628 filtered single nucleotide polymorphisms (SNPs) all samples, 2) 20,735 SNPs only samples. conducted genotype‐environment association analyses outlier tests identify loci each dataset. Both neutral deep genetic split North Yellow Sea (NYS) East China Sea. Redundancy analysis demonstrated that temperature is major factor driving divergence populations. Predictions lineage‐level distribution model severe habitat loss S. NYS eastern coasts Korea under RCP8.5 2100 s; however, low‐latitude boundary remained stable. Based on these results, speculate have high global warming. The dispersal routes were determined by coastal currents; restricted gene flow regions was detected. Thus, opportunities recovery depleted natural be limited. This study highlights importance applying conservation strategies (e.g., assisted flow) protect local extinction future.

Language: Английский

Citations

4
Genetic diversity revealed by phytochemical and molecular analyses among and within eight Trigonella sp. DOI

Maryam Mirzahosein-Tabrizi,

F Ghanavati,

Reza Azizinezhad

et al.

Journal of Crop Science and Biotechnology, Journal Year: 2022, Volume and Issue: 26(3), P. 345 - 357

Published: Nov. 16, 2022

Language: Английский

Citations

5
Demographic changes and life‐history strategies predict the genetic diversity in crabs DOI
Pedro A. Peres, Fernando Luís Medina Mantelatto

Journal of Evolutionary Biology, Journal Year: 2022, Volume and Issue: 36(2), P. 432 - 443

Published: Dec. 20, 2022

Abstract Uncovering what predicts genetic diversity (GD) within species can help us access the status of populations and their evolutionary potential. Traits related to effective population size show a proportional association GD, but evidence supports life‐history strategies habitat as drivers GD variation. Instead investigating highly divergent taxa, focusing on one group could elucidate factors influencing GD. Additionally, most empirical data is based vertebrate taxa; therefore, we might be missing novel patterns found in neglected invertebrate groups. Here, investigated predictors crabs (Brachyura) by compiling comprehensive cytochrome c oxidase subunit I (COI) available. Eight predictor variables were analysed across 150 (16 992 sequences) using linear models (multiple regression) comparative methods (PGLS). Our results indicate that fluctuation represents critical trait predicting with have undergone bottlenecks followed expansion showing lower Egg size, pelagic larval duration play role probably because how respond disturbances. Ultimately, K‐strategists are Some do not an expected, likely due taxon‐specific some predictors, which should considered further investigations generalizations. This work highlights complexity underlying adds from marine current understanding this topic.

Language: Английский

Citations

5
Concordance and drivers of marine spatial structure determined using genogeographic clustering DOI Creative Commons
Vanessa Arranz, Rachel M. Fewster, Shane Lavery

et al.

Journal of Biogeography, Journal Year: 2024, Volume and Issue: unknown

Published: June 6, 2024

Abstract Aim In order to provide a more comprehensive, community‐level understanding of marine gene flow and connectivity, we wished first identify geographic regions common spatial genetic divergence across multiple species along southern temperate coastline, then determine which biological ecological factors best explain the diversity in patterns among species. Location New Zealand (NZ) coastline. Taxon Twenty‐one benthic invertebrate. Materials Methods A novel approach was used that involved: (1) use divergences ( F ST ) from previously published studies quantitatively describe population structure within each as fitted spline curve, (2) clustering by their similarity pattern using dendrogram curve similarities, (3) testing whether nine known life‐history traits are associated with sharing similar patterns, distance‐based regression. Results Comparisons revealed not one, but four major unexpected groups The locations those identified, differ substantially relative importance, compared prior expectations. Two variables, Spawning Time Taxon, explained significant proportions (26% 16%) variation multivariate data. Main Conclusions genogeographic provided considerable insight into concordance species, some potential drivers patterns. identified different responded same environmental very ways. Although larval dispersal is an important factor uniting timing may be than pelagic duration NZ. These results should contribute greatly integration genetics both community ecology conservation management.

Language: Английский

Citations

0
Contrasting Patterns of Population Genomic Structure Between Broadcast‐Spawning and Brooding Corals in Southeast Asia DOI Creative Commons
Lutfi Afiq‐Rosli, Benjamin J. Wainwright, Jen Nie Lee

et al.

Diversity and Distributions, Journal Year: 2024, Volume and Issue: 30(12)

Published: Nov. 4, 2024

ABSTRACT Aim As climate change increasingly threatens the world's coral reefs, enhancing their resilience by improving population connectivity for key reef species is crucial ensuring persistence. Here, we evaluate genomic structure of two common species, Pocillopora acuta and Porites sp., chosen due to divergent life histories. Thousands single‐nucleotide polymorphisms (SNPs) were sequenced analysed infer regional patterns in Southeast Asia, a region that harbours tremendous diversity marine life. Location Coasts Malay Peninsula northern Borneo, covering ~1 million km 2 . Method NextRAD genotyping‐by‐sequencing 185 sp. 221 colonies. Libraries prepared on Illumina NovaSeq 6000. Genotyping involved initial quality controls, allele frequency filtering checks contamination. Genetic was assessed with Bayesian clustering, relationships between genetic variation environmental factors studied through redundancy analysis. Contemporary gene flow estimated using BayesAss. Results We observed panmixia among broadcasting populations, while brooding , acts strong barrier dispersal Malacca Strait southern South China Sea. Moreover, its seems follow current ecoregion delineation. By analysing contemporary migrant movement, can prioritise localities conservation. In particular, at Andaman Coral Coast are contemporarily isolated from other localities, Tioman identified as major larval source both species. Main Conclusion Our analyses highlight contrasting differentiation be explained disparity reproductive strategies. These findings important biodiversity managers Asia; incorporation considerations into conservation planning help safeguard ecosystem

Language: Английский

Citations

0