Analysis Of Genetic Population Structure Research Articles

The impact of estimator choice: Disagreement in clustering solutions across K estimators for Bayesian analysis of population genetic structure across a wide range of empirical data sets.

The software program STRUCTURE is one of the most cited tools for determining population structure. To infer the optimal number of clusters from STRUCTURE output, the ΔK method is often applied. However, a recent study relying on simulated microsatellite data suggested that this method has a downward bias in its estimation of K and is sensitive to uneven sampling. If this finding holds for empirical data sets, conclusions about the scale of gene flow may have to be revised for a large number of studies. To determine the impact of method choice, we applied recently described estimators of K to re-estimate genetic structure in 41 empirical microsatellite data sets; 15 from a broad range of taxa and 26 from one phylogenetic group, coral. We compared alternative estimates of K (Puechmaille statistics) with traditional (ΔK and posterior probability) estimates and found widespread disagreement of estimators across data sets. Thus, one estimator alone is insufficient for determining the optimal number of clusters; this was regardless of study organism or evenness of sampling scheme. Subsequent analysis of molecular variance (AMOVA) did not necessarily clarify which clustering solution was best. To better infer population structure, we suggest a combination of visual inspection of STRUCTURE plots and calculation of the alternative estimators at various thresholds in addition to ΔK. Disagreement between traditional and recent estimators may have important biological implications, such as previously unrecognized population structure, as was the case for many studies reanalysed here.

Population structure and pattern of geographic differentiation of Colorado potato beetle, Leptinotarsa decemlineata (Coleoptera: Chrysomelidae) in Turkey.

The Colorado potato beetle (CPB) is the most harmful pest of potato in potato cultivation regions globally. Although it is an economically important agricultural pest, the population structure and colonization route of this species in Turkey are uncertain. We used microsatellite and mitochondrial DNA (mtDNA) markers to obtain information about the population source, structure and bio-invasion route of CPB populations in Turkey. The common single mtDNA haplotype in European CPB populations was obtained in all Turkish CPB populations based on mtDNA data analysis. However, microsatellites revealed a low level of genetic variation in CPB populations. The results of microsatellite analysis [factorial correspondence analysis (FCA), Bayesian analysis of genetic population structure (BAPS), unweighted pair group method with arithmetic mean (UPGMA) dendrogram, F-statistics and Nei's distances] indicated three groups for invasive CPB: Thrace-Marmara and Aegean; Black Sea, Central Anatolia and Mediterranean; Northeastern Anatolia. Region-specific alleles have been identified in regions, where commercial potato cultivation and insecticide use are intensive. The detection of a single fixed European haplotype in all Turkish populations has proved that CPB in Turkey originated from Europe as a result of a founder event occurred in European populations. Low genetic variation was due to the short time period since the spread of CPB from America to Europe. The highest number of private alleles were found in the top commercial potato cultivation region-Central Anatolia from where the CPB populations spread to other parts of Turkey. © 2021 Society of Chemical Industry.

Low diversity, little genetic structure but no inbreeding in a high-density island endemic pit-viper Gloydius shedaoensis.

Island species and their ecosystems play an important role in global biodiversity preservation, and many vulnerable island species are conservation priorities. Although insular habitat likely facilitates the species diversification process, it may also aggravate the fragility of these species with high risk of inbreeding. The Shedao pit-viper Gloydius shedaoensis is an island endemic species with an extremely high population density, which has been categorized as vulnerable in the IUCN (International Union for the Conservation of Nature and Natural Resources) Red List. We collected 13,148 SNP (Single Nucleotide Polymorphism) from across its genome and examined its genetic diversity and demographic history. The Shedao pit-viper has a low genetic diversity but shows no sign of inbreeding. Furthermore, population genetic structure analysis, including the neighbor-joining tree, principal coordinate analysis, clustering, and spatial autocorrelation, revealed a general lack of spatial structure. Only the isolation by distance residues suggested a weak patchiness. Overall, the population is nearly panmictic and gene flow is evenly distributed across the island. A large number of individuals, small size of the island, and the lack of population structure likely all contribute to the lack of inbreeding in this species. We also detected signs of male-biased dispersal, which likely is another inbreeding avoidance strategy. Historical demographic analysis suggested that the historical population size and distribution of the species are much larger than their current ones. The multiple transgressive-regressive events since the Late Pleistocene are likely the main cause of the population size changes. Taken together, our results provide a basic scientific foundation for the conservation of this interesting and important species.

Genetic diversity and population genetic structure analysis of an extensive collection of wild and cultivated Vigna accessions

Genetic diversity and population genetic structure analysis of an extensive collection of wild and cultivated Vigna accessions

Microsatellite-based association mapping for agronomic traits in mungbean (Vigna radiata L. Wilczek)

Mungbean (Vigna radiata L. Wilczek) is one of the most important warm season food legumes which contributes significantly towards nutritional security and environmental sustainability. Marker-trait association (MTA) for agronomic characters offer opportunities to deploy marker-assisted breeding for genetic amelioration of crops. This investigation was carried out with an objective to decipher population genetic structure of diverse Vigna accessions and detect microsatellite loci linked to major agronomic traits for mungbean improvement. The study was initiated with 290 diverse Vigna accessions including wild and cultivated accessions. A mungbean yellow mosaic India virus (MYMIV)-resistant association mapping panel was constructed to minimize the effect of yellow mosaic disease on crop performance. Among these, 117 accessions including 55 cultivated and 63 wild accessions were found highly resistant to MYMIV. After multi-environment phenotyping, a panel of 70 MYMIV-resistant mungbean accessions was subjected to analysis for assessing the population genetic structure as well as MTA for important agronomic traits. There was sufficient genetic variation among the 70-mungbean genotypes as depicted by 91 microsatellite markers. Population genetic structure analysis grouped the genotypes into five subpopulations. The locus GMES0162 (LG4) was strongly associated with days to first flowering, whereas loci CEDG 035 (LG8), DMB SSR001 (LG6), DMB SSR008 (LG4) and CEDG 168 (LG11) were associated with pod number. These marker-trait associations will be helpful in genetic improvement of mungbean through molecular breeding.

An integrated strategy for target SSR genotyping with toleration of nucleotide variations in the SSRs and flanking regions

BackgroundWith the broad application of high-throughput sequencing and its reduced cost, simple sequence repeat (SSR) genotyping by sequencing (SSR-GBS) has been widely used for interpreting genetic data across different fields, including population genetic diversity and structure analysis, the construction of genetic maps, and the investigation of intraspecies relationships. The development of accurate and efficient typing strategies for SSR-GBS is urgently needed and several tools have been published. However, to date, no suitable accurate genotyping method can tolerate single nucleotide variations (SNVs) in SSRs and flanking regions. These SNVs may be caused by PCR and sequencing errors or SNPs among varieties, and they directly affect sequence alignment and genotyping accuracy.ResultsHere, we report a new integrated strategy named the accurate microsatellite genotyping tool based on targeted sequencing (AMGT-TS) and provide a user-friendly web-based platform and command-line version of AMGT-TS. To handle SNVs in the SSRs or flanking regions, we developed a broad matching algorithm (BMA) that can quickly and accurately achieve SSR typing for ultradeep coverage and high-throughput analysis of loci with SNVs compatibility and grouping of typed reads for further in-depth information mining. To evaluate this tool, we tested 21 randomly sampled loci in eight maize varieties, accompanied by experimental validation on actual and simulated sequencing data. Our evaluation showed that, compared to other tools, AMGT-TS presented extremely accurate typing results with single base resolution for both homozygous and heterozygous samples.ConclusionThis integrated strategy can achieve accurate SSR genotyping based on targeted sequencing, and it can tolerate single nucleotide variations in the SSRs and flanking regions. This method can be readily applied to divergent sequencing platforms and species and has excellent application prospects in genetic and population biology research. The web-based platform and command-line version of AMGT-TS are available at https://amgt-ts.plantdna.site:8445 and https://github.com/plantdna/amgt-ts, respectively.

Temporal analysis shows relaxed genetic erosion following improved stocking practices in a subarctic transnational brown trout population

Maintaining standing genetic variation is a challenge in human-dominated landscapes. We used genetic (i.e., 16 short tandem repeats) and morphological (i.e., length and weight) measurements of 593 contemporary and historical brown trout (Salmo trutta) samples to study fine-scale and short-term impacts of different management practices. These had changed from traditional breeding practices, using the same broodstock for several years, to modern breeding practices, including annual broodstock replacement, in the transnational subarctic Pasvik River. Using population genetic structure analyses (i.e., Bayesian assignment tests, DAPCs, and PCAs), four historical genetic clusters (E2001A-D), likely representing family lineages resulting from different crosses, were found in zone E. These groups were characterized by consistently lower genetic diversity, higher within-group relatedness, lower effective population size, and significantly smaller body size than contemporary stocked (E2001E) and wild fish (E2001F). However, even current breeding practices are insufficient to prevent genetic diversity loss and morphological changes as demonstrated by on average smaller body sizes and recent genetic bottleneck signatures in the modern breeding stock compared to wild fish. Conservation management must evaluate breeding protocols for stocking programs and assess if these can preserve remaining natural genetic diversity and morphology in brown trout for long-term preservation of freshwater fauna.

Genetic Diversity, Structure and Effective Population Size of Old-Growth vs. Second-Growth Populations of Keystone and Long-Lived Conifer, Eastern White Pine (Pinus strobus): Conservation Value and Climate Adaptation Potential.

Whether old-growth (OG) forests have higher genetic diversity and effective population size, consequently higher conservation value and climate adaptive potential than second-growth (SG) forests, remain an unresolved issue. We have tested the hypothesis that old-growth forest tree populations have higher genetic diversity, effective population size (NE), climate adaptive potential and conservation value and lower genetic differentiation than second-growth forest tree populations, employing a keystone and long-lived conifer, eastern white pine (EWP; Pinus strobus). Genetic diversity and population structure of old-growth and second-growth populations of eastern white pine (EWP) were examined using microsatellites of the nuclear and chloroplast genomes and single nucleotide polymorphisms (SNPs) in candidate nuclear genes putatively involved in adaptive responses to climate and underlying multilocus genetic architecture of local adaptation to climate in EWP. Old-growth and second-growth EWP populations had statistically similar genetic diversity, inbreeding coefficient and inter-population genetic differentiation based on nuclear microsatellites (nSSRs) and SNPs. However, old-growth populations had significantly higher chloroplast microsatellites (cpSSRs) haploid diversity than second-growth populations. Old-growth EWP populations had significantly higher coalescence-based historical long-term NE than second-growth EWP populations, but the linkage disequilibrium (LD)-based contemporary NE estimates were statistically similar between the old-growth and second-growth EWP populations. Analyses of population genetic structure and inter-population genetic relationships revealed some genetic constitution differences between the old-growth and second-growth EWP populations. Overall, our results suggest that old-growth and second-growth EWP populations have similar genetic resource conservation value. Because old-growth and second-growth EWP populations have similar levels of genetic diversity in genes putatively involved in adaptive responses to climate, old-growth, and second-growth populations may have similar adaptive potential under climate change. Our results could potentially be generalized across most of the boreal and temperate conifer forest trees. Our study contributes to address a long-standing issue, advances research field and knowledge about conservation and ecological and climate adaptation of forest trees.

Genetic diversity and population structure assessment using molecular markers and SPAR approach in Illicium griffithii, a medicinally important endangered species of Northeast India

BackgroundIllicium griffithii is an aromatic medicinal tree species that has been listed in the IUCN Red List as an endangered species. Dried seed pods of I. griffithii have a good market potential in the spices and pharmaceutical industries. Fruits are the potential source of shikimic acid and used for the production of oseltamivir (a drug against bird flu). However, in recent years, unscientific harvesting and rampant exploitation of the species has caused a negative and adverse effect on its natural population. Proper knowledge of genetic diversity and population structure is crucial to understand the population dynamics, adaptation, and evolutionary pattern of a particular species for conservation. It was from this view point that the present study was undertaken so as to compare the various types of DNA-based molecular markers namely RAPD, ISSR, DAMD, and SCoT by their efficiency and SPAR approach to evaluate the genetic diversity of I. griffithii as well as to analyze population genetic structure for conservation purpose. ResultA total of 250 discernible bands were generated with 246 bands (98.40 %) being polymorphic in nature. All the primers in combination gave a mean polymorphic information content (PIC) of 0.81 and Rp value (resolving power) of 4.32. Nei’s, Gst, and AMOVA analysis showed similar values of genetic differentiation among populations (Gst = 0.396, FST = 0.30, respectively), revealing a low level of genetic differentiation among the eight sampled populations. I. griffithii with an estimated gene flow value of Nm = 0.761 was significantly low among populations. Clustering pattern obtained with Bayesian structure and PCoA diagram revealed that intermixing of genetic material across populations is only possible when the populations lie close to each other. This is further validated with UPGMA clustering method where a positive correlation of genetic variability with geographical distance among closely related populations could be clearly seen. ConclusionThe result aids in the identification, collection, and preservation of diverse germplasm of I. griffithii from Arunachal Pradesh and Meghalaya of Northeast India. This would further help in understanding the population structure and genetic diversity among other Illicium species in order to formulate effective conservation strategies for the improvement of this endangered taxa.

Genetic variation patterns of β-thalassemia in western Andalusia (Spain) reveal a structure of specific mutations within the Iberian Peninsula.

Background Analyses of the genomic variation in the western Mediterranean population are being used to reveal its evolutionary history and to understand the molecular basis of particular diseases. Aim To observe β-thalassemic mutational spectrum in western Andalusia, Spain, in the context of the Mediterranean. In addition, associations between disease and neutral gene variants within the β-globin gene (HBB) were also evaluated. Subjects and methods This study included 63 unrelated individuals diagnosed with β-thalassemia. In addition, 97 unrelated, healthy subjects of the same territory were also analysed as proxies of the normal genetic background. Allele associations and population genetic structure analyses were performed using different methodologies. Results Data have revealed a rather restricted spectrum of β-thalassemia mutations in the analysed sample. Although the detected variants fit well with the Mediterranean pattern, certain singularities support a structure of some specific β-thalassemia alleles. The IVSI-1 (G > A) shows a strong regionalisation. The spatial correlogram revealed a typically narrow wave structure, presumably linked to genetic isolation and genetic drift. Conclusions The long history of endemic malaria in the study territory, the rather high consanguinity rates among its autochthonous population, and other demographic features have been used here to understand the western Andalusian β-thalassemia molecular portrait.

The demographic history of Castanea sativa Mill. in southwest Europe: A natural population structure modified by translocations.

In domesticated species, translocation of materials can alter natural demographic patterns; this may have occurred in Castanea sativa (European chestnut), a species conserved in several refuges, with a long domestication history for nut production. Bayesian analysis of population genetic structure in marginal areas and in the centre of C.sativa range, considering spatial information and making corrections for unbalanced size, allowed visualization of a genetic structure that was subsequently analysed by approximate Bayesian computation to assess its natural demographic history and test the origin of some hypothetical translocated germplasm. We obtained evidence of C.sativa population contraction during the earliest Pleistocene, resulting in a split into eastern (Greek) and western (Italian and Iberian) populations. The northern Iberian population, in the Eurosiberian area, is one of the vestiges that remained after the contraction that split the global Tertiary population. A secondary encounter, occurred from Middle to Upper Pleistocene, which explains the hybrid origin of the Western Mediterranean population present in Italy and in the centre and south of the Iberian Peninsula. It has been demonstrated that a germplasm translocation from Italy to the Central Iberian Range may have occurred. Recent translocations have hybridized with the local northern Iberian population, producing naturalized populations with high diversity. The populations of C.sativa in southwestern Europe have a genetic structure compatible with a natural origin, in which signs of population contractions and expansions caused by climatic oscillations since the Late Miocene have been imprinted.

Phylogeography of the Dendrocolaptes picumnus (Aves: Dendrocolaptidae) species complex: new insights on the diversification of a trans‐American lineage

Molecular studies have shown that many polytypic species of birds are paraphyletic and may actually consist of multiple independent species, some of them phenotypically cryptic. One of such cases is Dendrocolaptes picumnus, which was found to be a paraphyletic species, with Dendrocolaptes hoffmannsi nested in it. Recent evidence also showed that multiple independent evolutionary lineages exist in the polytypic D. picumnus that may be characterized as distinct species, however, conclusions were weakened due to small sample sizes. To further evaluate phylogenetic relationships, species limits, and the diversification history of the D. picumnus species complex, herein we performed the densest sampling ever registered for the complex, and analyzed sequences of mitochondrial and nuclear genes from 106 specimens, belonging to all but four taxa grouped in the complex. Our phylogenetic analyses confirmed the monophyly of D. hoffmannsi and D. platyrostris, as well as the paraphyly of the polytypic D. picumnus. A combination of coalescent and population genetic structure analyses further supported an evolutionary independent status for D. picumnus transfasciatus, but were ambiguous with respect to the statuses of nominate D. picumnus, D. picumnus pallescens, D. picumnus validus, and D. picumnus costaricensis. In contrast, D. picumnus olivaceus and D. platyrostris intermedius were polyphyletic and not genetically structured with respect to D. picumnus pallescens and D. platyrostris platyrostris, respectively. Our results did not support the monophyly of the previously defined ‘Amazonian' and ‘montane' subspecies groups of D. picumnus, further indicating that at least one ‘montane' taxon may actually belong to the ‘Chaco' group, a relationship that highlights a close historical connection between the Andean and Chacoan biotas. When interpreted together with previous morphological studies, our results support the split of the polytypic D. picumnus into at least two species, while keeping the status of D. hoffmannsi and D. platyrostris as distinct species.

New perspective on the genetic structure and habitat adaptation of Pampus minor off the coast of China based on RAD-seq

Understanding the genetic diversity and habitat adaptation patterns of different geographic populations of marine organisms is essential for the rational maintenance, development, and utilization of their resources. Pampus minor Liu and Li 1998 is an economically valuable marine fish species. To determine the population genetic structure and elucidate the genetic mechanism underlying the habitat adaptation of this species, restriction site-associated DNA sequencing (RAD-seq) was used to scan the whole genomes of three P. minor putative populations along the coast of China for single-nucleotide polymorphism (SNPs) and outlier SNPs. Our population genetic structure analysis based on 2388 SNPs and 731 outlier SNPs throughout the genome revealed no significant genetic differentiation among the three populations. Results suggested that the life-cycle characteristics of P. minor, its relatively large population sizes, and ocean current transport might have shaped its current genetic pattern. The annotation information of both assembled sequences (which included outlier SNPs) and candidate loci associated with adaptations indicated that genes involved in many processes, including ion exchange, osmotic pressure regulation, metabolism, and the immune response, have been very important in the adaptations of P. minor to its heterogeneous habitats. Against the background of increased human activities, increased fishing intensity, and destruction of marine habitats, the results of this study provide basic genetic information for the accurate division of protection units of P. minor.

Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research

Recent technological advancements and developments have led to a dramatic increase in the amount of high-dimensional data and thus have increased the demand for proper and efficient multivariate regression methods. Numerous traditional multivariate approaches such as principal component analysis have been used broadly in various research areas, including investment analysis, image identification, and population genetic structure analysis. However, these common approaches have the limitations of ignoring the correlations between responses and a low variable selection efficiency. Therefore, in this article, we introduce the reduced rank regression method and its extensions, sparse reduced rank regression and subspace assisted regression with row sparsity, which hold potential to meet the above demands and thus improve the interpretability of regression models. We conducted a simulation study to evaluate their performance and compared them with several other variable selection methods. For different application scenarios, we also provide selection suggestions based on predictive ability and variable selection accuracy. Finally, to demonstrate the practical value of these methods in the field of microbiome research, we applied our chosen method to real population-level microbiome data, the results of which validated our method. Our method extensions provide valuable guidelines for future omics research, especially with respect to multivariate regression, and could pave the way for novel discoveries in microbiome and related research fields.

DdRAD sequencing: an emerging technology added to the biosecurity toolbox for tracing the origin of brown marmorated stink bug, Halyomorpha halys (Hemiptera: Pentatomidae)

BackgroundBrown marmorated stink bug (BMSB), Halyomorpha halys (Hemiptera: Pentatomidae) is native to East Asia but has invaded many countries in the world. BMSB is a polyphagous insect pest and causes significant economic losses to agriculture worldwide. Knowledge on the genetic diversity among BMSB populations is scarce but is essential to understand the patterns of colonization and invasion history of local populations. Efforts have been made to assess the genetic diversity of BMSB using partial mitochondrial DNA sequences but genetic divergence on mitochondria is not high enough to precisely accurately identify and distinguish various BMSB populations. Therefore, in this study, we applied a ddRAD (double digest restriction-site associated DNA) sequencing approach to ascertain the genetic diversity of BMSB populations collected from 12 countries (2 native and 10 invaded) across four continents with the ultimate aim to trace the origin of BMSBs intercepted during border inspections and post-border surveillance.ResultA total of 1775 high confidence single nucleotide polymorphisms (SNPs) were identified from ddRAD sequencing data collected from 389 adult BMSB individuals. Principal component analysis (PCA) of the identified SNPs indicated the existence of two main distinct genetic clusters representing individuals sampled from regions where BMSB is native to, China and Japan, respectively, and one broad cluster comprised individuals sampled from countries which have been invaded by BMSB. The population genetic structure analysis further discriminated the genetic diversity among the BMSB populations at a higher resolution and distinguished them into five potential genetic clusters.ConclusionThe study revealed hidden genetic diversity among the studied BMSB populations across the continents. The BMSB populations from Japan were genetically distant from the other studied populations. Similarly, the BMSB populations from China were also genetically differentiated from the Japanese and other populations. Further genetic structure analysis revealed the presence of at least three genetic clusters of BMSB in the invaded countries, possibly originating via multiple invasions. Furthermore, this study has produced novel set of SNP markers to enhance the knowledge of genetic diversity among BMSB populations and demonstrates the potential to trace the origin of BMSB individuals for future invasion events.

Population Genetic Structure Analysis Reveals Decreased but Moderate Diversity for the Oriental Fire-Bellied Toad Introduced to Beijing after 90 Years of Independent Evolution.

Simple SummaryHabitat isolation and loss are significant factors that lead to the decline of wildlife populations worldwide, and habitat loss further leads to the shrinkage of populations, which increases the risk of inbreeding and the genetic decline of the populations. To explore the independent evolutionary characteristics of different populations, this study analyzed the genetic disparity of the introduced oriental fire-bellied toad in Beijing from a source population in Shandong Province. The results show that, despite originating from a small artificially introduced population, the toads in the Beijing region have maintained a moderate genetic diversity after 90 years of independent evolution, indicating that this species has a high capacity for survival and adaptation.Detailed molecular genetic research on amphibian populations has a significant role in understanding the genetic adaptability to local environments. The oriental fire-bellied toads (Bombina orientalis) were artificially introduced to Beijing from Shandong Province in 1927, and since then, this separated population went through an independent evolution. To explore the differentiation of the introduced population with its original population, this study analyzed the genetic structure of the oriental fire-bellied toad, based on the mitochondrial genome control region and six microsatellite sites. The results showed that the haplotype diversity and nucleotide diversity of the mitochondrial D-loop region partial sequences of the Beijing Botanical Garden population and the Baiwangshan population were lower than those of the Shangdong Kunyushan population. Microsatellite marker analysis also showed that the observed heterozygosity and expected heterozygosity of the Beijing populations were lower than those of the Kunyushan population. The phylogenetic trees and network diagrams of haplotypes indicated that the three populations were not genetically separated. However, the structure analysis showed a genetic differentiation and categorized the sampling individuals into Beijing and Shandong genetic clusters, which indicated a tendency for isolated evolution in the Beijing population. Although the Beijing populations showed a decline in genetic diversity, it was still at a moderate level, which could maintain the survival of the population. Thus, there is no need to reintroduce new individuals from the Kunyushan source population.

Population structure of the fungus Sclerotinia sclerotiorum in common bean fields of Argentina

S. sclerotiorum is the causal agent of the white mould disease on common bean crops, one of the most threatening fungal diseases occurring across major bean production regions. Currently, there are no commercial cultivars with high levels of genetic resistance to white mould. The aim of this study was to analyse the population structure of 109 isolates of S. sclerotiorum from six dry bean fields in the main production area of Argentina using nine microsatellite loci. A total of 30 multilocus haplotypes (MLHs) were identified, of which 18 MLHs were unique. The remaining 12 MLHs were constituted by 83% of the isolates, six MLHs of which (composed of 75 isolates) were shared at least between two locations. Population genetic structure analysis and discriminant analysis of principal components (DAPC) identified two genetic clusters (subpopulations). The genetic cluster 1 (GC 1) was composed of 21 isolates and 15 MLHs. Similarly, the genetic cluster 2 (GC 2) was composed of 23 isolates and 15 MLHs. These two genetic clusters were observed in most locations sampled. Low levels of genetic differentiation (ΦST = 0.198; P 1) between genetic clusters were observed. Linkage disequilibrium analysis showed that one of the two genetic subpopulations was under linkage equilibrium (P > 0.001), which is consistent with recombinant populations. These results suggest the occurrence of both modes of reproductive behaviour, clonal and recombining, compromising the durability of management strategies for white mould disease in common bean cultivars.

Population genetic patterns of a mangrove‐associated frog reveal its colonization history and habitat connectivity

AbstractAimTo understand the impact of historical and contemporary habitat distributions and connectivity on the spatial patterns of a species' genetic variation and divergence, we examined the phylogenetic relationship, population genetic structure and demographic history of a mangrove‐specialist, the crab‐eating frog (Fejervarya cancrivora) from 10 geographic populations in China and northern Vietnam.LocationSoutheast Asian coasts, especially the southern China and northern Vietnam coasts.MethodsWe used the sequences of three mitochondrial DNA (mtDNA) regions to infer phylogenetic relationships and divergence times between our samples and those from other Southeast Asian countries. Thirteen nuclear microsatellite loci were used to analyse population genetic structure. Ancient and more recent demographic history was assessed using mtDNA and microsatellite data, respectively, and population divergence history scenarios were evaluated using approximate Bayesian computation.ResultsThe mtDNA haplotypes from China joined the F. cancrivora clades from the Philippines, Thailand and Bangladesh, which diverged from the clades from Malaysia and Indonesia. Microsatellite analyses revealed three genetically differentiated clusters and a strong pattern of isolation by distance at the individual level. Ancient population sizes were relatively stable, but genetic signatures of recent population declines were detected. Population divergence history analyses supported that Hainan populations were ancestral to those of the Guangdong, Guangxi and northern Vietnam populations.Main conclusionsOur results suggest that F. cancrivora's contemporary genetic patterns have been shaped by past and present habitat conformations. This species may have dispersed along the coast from Southeast Asia to China during Pleistocene glaciations when sea levels were low, colonizing the Hainan area first. It subsequently spread to mainland China coasts when sea levels rose and shorelines withdrew. Additionally, current declines and fragmentation of mangrove forests have likely exacerbated population reductions and genetic divergences among now disjunct populations. This study provides a framework for understanding the population history of mangrove‐associated biota and thus aids conservation management of this critical ecosystem.

Genomic Adaptive Evolution of Sand Rice (Agriophyllum squarrosum) and Its Implications for Desert Ecosystem Restoration.

Natural selection is a significant driver of population divergence and speciation of plants. Due to local adaptation to geographic regions with ecological gradients, plant populations harbored a wide range of adaptive genetic variation to enable them to survive the heterogeneous habitats. This is all the more necessary for desert plants, as they must tolerant more striking gradients of abiotic stresses. However, the genomic mechanism by which desert plants adapt to ecological heterogeneity remains unclear, which could help to guide the sustainability of desert ecosystems. Here, using restriction-site-associated DNA sequencing in 38 natural populations, we investigated the genomic divergence and environmental adaptation of sand rice, Agriophyllum squarrosum, an annual pioneer species that covers sand dunes in northern China. Population genetic structure analyses showed that sand rice could be divided into three geographically distinct lineages, namely, Northwest, Central, and East. Phylogeographic analyses revealed that the plant might originate locally in Bergen County and further differentiated into the East lineage and then the Central lineage. Ecological niche modeling found that different lineages occupied distinct ecological niches, suggesting that the ecological gradient would have triggered genomic differentiation among sand rice lineages. Ecological association study supported that the three SNPs under divergent selection were closely correlated with precipitation gradients, indicating that precipitation might be the most important stress trigger for lineage diversity in sand rice. These adaptive SNPs could be used to genotype suitable germplasms for the ecological restoration of specific desertified lands. Further analyses found that genetic structure could significantly overestimate the signals for balancing selection. Within the Central lineage, we still found that 175 SNPs could be subject to balancing selection, which could be the means by which sand rice maintains genetic diversity and adapts to multiple stresses across heterogeneous deserts and sandy lands. From a genomic point of view, this study highlighted the local and global adaptation patterns of a desert plant to extreme and heterogeneous habitats. Our data provide molecular guidance for the restoration of desertified lands in the arid and semi-arid regions of China and could facilitate the marker assistant breeding of this potential crop to mitigate climate change.

Population genetic structure of hard clam (Meretrix lyrata) along the Southern coast of Thailand

Abstract. Suppapan J, Sangthong P, Songrak A, Supmee V. 2021. Population genetic structure of hard clam (Meretrix lyrata) along the Southern coast of Thailand. Biodiversitas 22: 2489-2496. The hard clam (Meretrix lyrata), which is an economically important fishery item in Southern Thailand, has decreased rapidly due to overexploitation. To construct sustainable management of this species, genetic information is necessary. In our study, the genetic diversity of M. lyrata was investigated based on the variation of the nucleotide sequence (439 bp) of mitochondrial DNA (mtDNA) in the cytochrome oxidase subunit I gene (mtDNA COI). The mtDNA COI sequences of 145 individuals collecting from 6 sampling sites along the Southern coast of Thailand were analyzed. The results revealed that M. lyrata populations showed moderate to low levels of genetic diversity. All of the population genetic structure analysis revealed the genetic differentiation of the hard clam between the Gulf of Thailand and the Andaman Sea populations. Based on these results, a genetic structure of the hard clam M. lyrata in Southern Thailand was possibly caused by a disruptive gene flow from the geographic factors by the Thai-Malay Peninsula. The demographic history test revealed that the hard clam living in Southern Thailand had experienced population expansion. This study provided the first genetic information that could be used for conserving the hard clam M. lyrata in Southern Thailand.