scholarly journals Genomic analysis of a reef-building coral, Acropora digitifera, reveals complex population structure and a migration network in the Nansei Islands, Japan

2021 ◽  
Author(s):  
Kojin Tsuchiya ◽  
Yuna Zayasu ◽  
Yuichi Nakajima ◽  
Nana Arakaki ◽  
Go Suzuki ◽  
...  
Keyword(s):  
Population Structure ◽  
Marine Conservation ◽  
Ocean Currents ◽  
General Tendency ◽  
Nucleotide Polymorphisms ◽  
Effective Population ◽  
Acropora Digitifera ◽  
Genome Wide ◽  
Nansei Islands ◽  
Migration Network

Understanding the structure and connectivity of coral populations is fundamental for developing marine conservation policies, especially in patchy environments such as archipelagos. The Nansei Islands, extending more than 1,000 km in southwestern Japan, are characterized by high levels of biodiversity and endemism, supported by coral reefs, although precise, detailed genetic attributes of corals are still largely unknown. In this study, we conducted population genomic analyses based on genome-wide, single-nucleotide polymorphisms (SNPs) of Acropora digitifera, a common species in the Nansei Islands, for which a complete genome is available. With ~24x sequencing coverage of entire genomes of 303 colonies collected at 21 locations, we identified more than four million genome-wide SNPs. While population structure analyses suggested weak genetic differentiation among sampled locations, the most southwestern location (the west end of the Yaeyama Islands) was genetically similar to the northernmost location (the Tanegashima Islands), separated by >1,000 km. Although examination of a migration network found a general tendency of northward migration along the Kuroshio Current, a substantial amount of southward migration was also detected, indicating important contributions of minor ocean currents to coral larval dispersal. Moreover, heterogeneity in the transition of effective population sizes among locations suggests different histories for individual subpopulations. The unexpected complexity of both past and present population dynamics in the Nansei Islands implies that heterogeneity of ocean currents and local environments, past and present, have influenced the population structure of this species, highlighting the importance of local scale assessments for effective coral restoration and management.

scholarly journals Genome-Wide Diversity, Population Structure and Demographic History of Dromedaries in the Central Desert of Iran

Genes ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 599 ◽  
Author(s):  
Morteza Bitaraf Sani ◽  
Javad Zare Harofte ◽  
Ahmad Bitaraf ◽  
Saeid Esmaeilkhanian ◽  
Mohammad Hossein Banabazi ◽  
...  
Keyword(s):  
Population Structure ◽  
Population Size ◽  
Balancing Selection ◽  
Demographic History ◽  
Genomic Analysis ◽  
Genotyping By Sequencing ◽  
Genomic Diversity ◽  
Nucleotide Polymorphisms ◽  
Effective Population ◽  
Genome Wide

The development of camel husbandry for good production in a desert climate is very important, thus we need to understand the genetic basis of camels and give attention to genomic analysis. We assessed genome-wide diversity, linkage disequilibrium (LD), effective population size (Ne) and relatedness in 96 dromedaries originating from five different regions of the central desert of Iran using genotyping-by-sequencing (GBS). A total of 14,522 Single Nucleotide Polymorphisms (SNPs) with an average minor allele frequency (MAF) of 0.19 passed quality control and filtering steps. The average observed heterozygosity in the population was estimated at 0.25 ± 0.03. The mean of LD at distances shorter than 40 kb was low (r2 = 0.089 ± 0.234). The camels sampled from the central desert of Iran exhibited higher relatedness than Sudanese and lower than Arabian Peninsula dromedaries. Recent Ne of Iran’s camels was estimated to be 89. Predicted Tajima’s D (1.28) suggested a bottleneck or balancing selection in dromedary camels in the central desert of Iran. A general decrease in effective and census population size poses a threat for Iran’s dromedaries. This report is the first SNP calling report on nearly the chromosome level and a first step towards understanding genomic diversity, population structure and demography in Iranian dromedaries.

scholarly journals Genomic analysis unveils important aspects of population structure, virulence, and antimicrobial resistance inKlebsiella aerogenes

2019 ◽  
Author(s):  
Hemanoel Passarelli-Araujo ◽  
Jussara K. Palmeiro ◽  
Kanhu C. Moharana ◽  
Francisnei Pedrosa-Silva ◽  
Libera M. Dalla-Costa ◽  
...  
Keyword(s):  
Population Structure ◽  
Genomic Analysis ◽  
Genomic Diversity ◽  
Nucleotide Polymorphisms ◽  
Effective Population ◽  
Single Nucleotide ◽  
Deleterious Alleles ◽  
Large Effective Population Size ◽  
Healthcare Associated ◽  
Antibiotic Efflux

ABSTRACTKlebsiella aerogenesis an important pathogen in healthcare-associated infections. Nevertheless, in comparison to other clinically important pathogens,K. aerogenespopulation structure, genetic diversity, and pathogenicity remain poorly understood. Here, we elucidateK. aerogenesclonal complexes (CCs) and genomic features associated with resistance and virulence. We present a detailed description of the population structure ofK. aerogenesbased on 97 publicly available genomes by using both, multilocus sequence typing and single nucleotide polymorphisms extracted from core genome. We also assessed virulence and resistance profiles using VFDB and CARD, respectively. We show thatK. aerogeneshas an open pangenome and a large effective population size, which account for its high genomic diversity and support that negative selection prevents fixation of most deleterious alleles. The population is structured in at least ten CCs, including two novel ones identified here, CC9 and CC10. The repertoires of resistance genes comprise a high number of antibiotic efflux proteins as well as narrow and extended spectrum β-lactamases. Regarding the population structure, we identified two clusters based on virulence profile due to the presence of the toxin-encodingclboperon and the siderophore production genes,irpandybt.Notably, CC3 comprises the majority ofK. aerogenesisolates associated with hospital outbreaks, emphasizing the importance of its constant monitoring. Collectively, our results can be useful in the development of new therapeutic and surveillance strategies worldwide.

scholarly journals Inference of Population Genetic Structure and High Linkage Disequilibrium Among Alternaria spp. Collected from Tomato and Potato Using Genotyping by Sequencing

2019 ◽  
Author(s):  
Tika B. Adhikari ◽  
Brian J. Knaus ◽  
Niklaus J. Grünwald ◽  
Dennis Halterman ◽  
Frank J. Louws
Keyword(s):  
Population Structure ◽  
Linkage Disequilibrium ◽  
Plant Pathogens ◽  
Principal Component ◽  
Genotyping By Sequencing ◽  
Allelic Association ◽  
Nucleotide Polymorphisms ◽  
Entire Genome ◽  
Genome Wide ◽  
A Genome

ABSTRACTGenotyping by sequencing (GBS) is considered a powerful tool to discover single nucleotide polymorphisms (SNPs), which are useful to characterize closely related genomes of plant species and plant pathogens. We applied GBS to determine genome-wide variations in a panel of 187 isolates of three closely related Alternaria spp. that cause diseases on tomato and potato in North Carolina (NC) and Wisconsin (WI). To compare genetic variations, reads were mapped to both A. alternata and A. solani draft reference genomes and detected dramatic differences in SNPs among them. Comparison of A. linariae and A. solani populations by principal component analysis revealed the first (83.8% of variation) and second (8.0% of variation) components contained A. linariae from tomato in NC and A. solani from potato in WI, respectively, providing evidence of population structure. Genetic differentiation (Hedrick’s G’ST) in A. linariae populations from Haywood, Macon, and Madison counties in NC were little or no differentiated (G’ST 0.0 - 0.2). However, A. linariae population from Swain county appeared to be highly differentiated (G’ST > 0.8). To measure the strength of the linkage disequilibrium (LD), we also calculated the allelic association between pairs of loci. Lewontin’s D (measures the fraction of allelic variations) and physical distances provided evidence of linkage throughout the entire genome, consistent with the hypothesis of non-random association of alleles among loci. Our findings provide new insights into the understanding of clonal populations on a genome-wide scale and microevolutionary factors that might play an important role in population structure. Although we found limited genetic diversity, the three Alternaria spp. studied here are genetically distinct and each species is preferentially associated with one host.

scholarly journals Genome-wide survey of single-nucleotide polymorphisms reveals fine-scale population structure and signs of selection in the threatened Caribbean elkhorn coral, Acropora palmata

2017 ◽  
Author(s):  
Meghann D Durante ◽  
Iliana B Baums
Keyword(s):  
Population Structure ◽  
Single Nucleotide Polymorphisms ◽  
Ex Situ ◽  
Fine Scale ◽  
Nucleotide Polymorphisms ◽  
Acropora Palmata ◽  
Single Nucleotide ◽  
Major Barrier ◽  
Genome Wide ◽  
Scale Population

The advent of next-generation sequencing tools has made it possible to conduct fine-scale surveys of population differentiation and genome-wide scans for signatures of selection in non-model organisms. Such surveys are of particular importance in sharply declining coral species, since knowledge of population boundaries and signs of local adaptation can inform restoration and conservation efforts. Here, genome-wide surveys of single-nucleotide polymorphisms in the threatened Caribbean elkhorn coral, Acropora palmata, reveal fine-scale population structure and place the major barrier to gene flow that separates the eastern and western Caribbean populations between the Bahamas and Puerto Rico. The exact location of this break had been subject to discussion because two previous studies based on microsatellite data had come to differing conclusions. We investigate this contradiction by analyzing an extended set of 12 microsatellite markers including the five previously employed and discovered that one of the original microsatellite loci is apparently under selection. Exclusion of this locus reconciles the results from the SNP and the microsatellite datasets. Scans for outlier loci in the SNP data detected 12 candidate loci under positive selection. Together, these results suggest that restoration of populations should use local sources and utilize existing functional variation among populations in ex situ crossing experiments to improve stress resistance of this species.

scholarly journals Genetic Diversity, Population Structure, and Andean Introgression in Brazilian Common Bean Cultivars after Half a Century of Genetic Breeding

Genes ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1298
Author(s):  
Caléo Panhoca de Almeida ◽  
Jean Fausto de Carvalho Paulino ◽  
Sérgio Augusto Morais Carbonell ◽  
Alisson Fernando Chiorato ◽  
Qijian Song ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Common Bean ◽  
Gene Diversity ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Association Mapping Approach

Brazil is the largest consumer and third highest producer of common beans (Phaseolus vulgaris L.) worldwide. Since the 1980s, the commercial Carioca variety has been the most consumed in Brazil, followed by Black and Special beans. The present study evaluates genetic diversity and population structure of 185 Brazilian common bean cultivars using 2827 high-quality single-nucleotide polymorphisms (SNPs). The Andean allelic introgression in the Mesoamerican accessions was investigated, and a Carioca panel was tested using an association mapping approach. The results distinguish the Mesoamerican from the Andean accessions, with a prevalence of Mesoamerican accessions (94.6%). When considering the commercial classes, low levels of genetic differentiation were seen, and the Carioca group showed the lowest genetic diversity. However, gain in gene diversity and allelic richness was seen for the modern Carioca cultivars. A set of 1060 ‘diagnostic SNPs’ that show alternative alleles between the pure Mesoamerican and Andean accessions were identified, which allowed the identification of Andean allelic introgression events and shows that there are putative introgression segments in regions enriched with resistance genes. Finally, genome-wide association studies revealed SNPs significantly associated with flowering time, pod maturation, and growth habit, showing that the Carioca Association Panel represents a powerful tool for crop improvements.

scholarly journals Polygenic basis for adaptive morphological variation in a threatened Aotearoa | New Zealand bird, the hihi ( Notiomystis cincta )

2020 ◽  
Vol 287 (1933) ◽  
pp. 20200948
Author(s):  
Laura Duntsch ◽  
Barbara M. Tomotani ◽  
Pierre de Villemereuil ◽  
Patricia Brekke ◽  
Kate D. Lee ◽  
...  
Keyword(s):  
Body Mass ◽  
Morphological Traits ◽  
Nucleotide Polymorphisms ◽  
Tarsus Length ◽  
Effective Population ◽  
Chromosome Partitioning ◽  
Genome Wide ◽  
Small Effect Size ◽  
Bill Length ◽  
Notiomystis Cincta

To predict if a threatened species can adapt to changing selective pressures, it is crucial to understand the genetic basis of adaptive traits, especially in species historically affected by severe bottlenecks. We estimated the heritability of three hihi ( Notiomystis cincta ) morphological traits known to be under selection (nestling tarsus length, body mass and head–bill length) using 523 individuals and 39 699 single nucleotide polymorphisms (SNPs) from a 50 K Affymetrix SNP chip. We then examined the genetic architecture of the traits via chromosome partitioning analyses and genome-wide association scans (GWAS). Heritabilities estimated using pedigree relatedness or genomic relatedness were low. For tarsus length, the proportion of genetic variance explained by each chromosome was positively correlated with its size, and more than one chromosome explained significant variation for body mass and head–bill length. Finally, GWAS analyses suggested many loci of small effect contributing to trait variation for all three traits, although one locus (an SNP within an intron of the transcription factor HEY2 ) was tentatively associated with tarsus length. Our findings suggest a polygenic nature for the morphological traits, with many small effect size loci contributing to the majority of the variation, similar to results from many other wild populations. However, the small effective population size, polygenic architecture and already low heritabilities suggest that both the total response and rate of response to selection are likely to be limited in hihi.

scholarly journals Genome-wide survey of single-nucleotide polymorphisms reveals fine-scale population structure and signs of selection in the threatened Caribbean elkhorn coral, Acropora palmata

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e4077 ◽  
Author(s):  
Meghann K. Devlin-Durante ◽  
Iliana B. Baums
Keyword(s):  
Population Structure ◽  
Single Nucleotide Polymorphisms ◽  
Ex Situ ◽  
Fine Scale ◽  
Nucleotide Polymorphisms ◽  
Acropora Palmata ◽  
Single Nucleotide ◽  
Major Barrier ◽  
Genome Wide ◽  
Scale Population

The advent of next-generation sequencing tools has made it possible to conduct fine-scale surveys of population differentiation and genome-wide scans for signatures of selection in non-model organisms. Such surveys are of particular importance in sharply declining coral species, since knowledge of population boundaries and signs of local adaptation can inform restoration and conservation efforts. Here, we use genome-wide surveys of single-nucleotide polymorphisms in the threatened Caribbean elkhorn coral, Acropora palmata, to reveal fine-scale population structure and infer the major barrier to gene flow that separates the eastern and western Caribbean populations between the Bahamas and Puerto Rico. The exact location of this break had been subject to discussion because two previous studies based on microsatellite data had come to differing conclusions. We investigate this contradiction by analyzing an extended set of 11 microsatellite markers including the five previously employed and discovered that one of the original microsatellite loci is apparently under selection. Exclusion of this locus reconciles the results from the SNP and the microsatellite datasets. Scans for outlier loci in the SNP data detected 13 candidate loci under positive selection, however there was no correlation between available environmental parameters and genetic distance. Together, these results suggest that reef restoration efforts should use local sources and utilize existing functional variation among geographic regions in ex situ crossing experiments to improve stress resistance of this species.

scholarly journals Evaluating the use of ABBA-BABA statistics to locate introgressed loci

2013 ◽  
Author(s):  
Simon H. Martin ◽  
John W. Davey ◽  
Chris D. Jiggins
Keyword(s):  
Population Structure ◽  
Population Size ◽  
Effective Population Size ◽  
Ancestral Population ◽  
Whole Genome ◽  
Effective Population ◽  
Genome Data ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Several methods have been proposed to test for introgression across genomes. One method tests for a genome-wide excess of shared derived alleles between taxa using Patterson?s D statistic, but does not establish which loci show such an excess or whether the excess is due to introgression or ancestral population structure. Several recent studies have extended the use of D by applying the statistic to small genomic regions, rather than genome-wide. Here, we use simulations and whole genome data from Heliconius butterflies to investigate the behavior of D in small genomic regions. We find that D is unreliable in this situation as it gives inflated values when effective population size is low, causing D outliers to cluster in genomic regions of reduced diversity. As an alternative, we propose a related statistic f̂d, a modified version of a statistic originally developed to estimate the genome-wide fraction of admixture. f̂d is not subject to the same biases as D, and is better at identifying introgressed loci. Finally, we show that both D and f̂d outliers tend to cluster in regions of low absolute divergence (dXY), which can confound a recently proposed test for differentiating introgression from shared ancestral variation at individual loci.

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