Genetic Diversity and Population Structure of Brachiaria (syn. Urochloa) Ecotypes from Uganda

Brachiaria (syn. Urochloa) grass is an important tropical forage of African origin that supports millions of livestock and wildlife in the tropics. Overgrazing, conversion of grasslands for crop production and non-agricultural uses, and the introduction of improved forages have threatened the natural diversity of Brachiaria grass in Uganda. This study established a national collection of Brachiaria ecotypes in Uganda and analyzed them for genetic diversity and population structure using 24 simple sequence repeats (SSR) markers. These markers had a high discriminating ability with an average polymorphism information content (PIC) of 0.89 and detected 584 alleles in 99 ecotypes. Analysis of molecular variance revealed a high within populations variance (98%) indicating a high gene exchange or low genetic differentiation (PhiPT = 00.016) among the ecotype populations. The Bayesian model based clustering algorithm showed three allelic pools in Ugandan ecotypes. The principal component analysis (PCA) of ecotypes, and Neighbor-joining (NJ) tree of ecotypes and six commercial cultivars showed three main groups with variable membership coefficients. About 95% of ecotype pairs had Rogers’ genetic distance above 0.75, suggesting most of them were distantly related. This study confirms the high value of these ecotypes in Brachiaria grass conservation and improvement programs in Uganda and elsewhere.

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Genetic diversity and population structure among goat genotypes in Kenya

10.1101/2020.07.06.189290 ◽

2020 ◽

Author(s):

Ruth W. Waineina ◽

Kiplangat Ngeno ◽

Tobias O. Otieno ◽

Evans D. Ilatsia

Keyword(s):

Population Structure ◽

Principal Component ◽

Genetic Distances ◽

Snp Markers ◽

Founder Population ◽

Good Opportunity ◽

Model Based Clustering ◽

Population Structuring ◽

Improvement Programs ◽

Genotype Clustering

AbstractPopulation structure and relationship information among goats is critical for genetic improvement, utilization and conservation. This study explored population structure and level of gene intermixing among four goat genotypes in Kenya: Alpine (n = 30), Toggenburg (n = 28), Saanen (n = 24) and Galla (n = 12). The population structuring and relatedness were estimated using principal component analysis utilizing allele frequencies of the SNP markers. Genotype relationships were evaluated based on the calculated Reynolds genetic distances. A phylogenetic tree was constructed to represent genotype clustering using iTOL software. Population structure was investigated using model-based clustering (ADMIXTURE) Genotypes relationships revealed four distinctive clusters: Alpine, Galla, Saanen and Toggenburg. The ADMIXTURE results revealed some level of gene intermixing among Alpine, Toggenburg and Saanen with Galla. Saanen goats were the most admixed genotype with 84%, 7% and 4% of its genome derived from Galla, Alpine and Toggenburg respectively. Alpine and Toggenburg goats shared some associations with the Galla goat; 10% and 1% respectively. The association of Galla with other genotypes was anticipated since Galla goat was used as the founder population for crossbreeding with Saanen, Alpine and Toggenburg breed. The genetic variations among the goat genotypes observed, will provide a good opportunity for sustainable utilization, conservation and future genetic resource improvement programs in goat genotypes in Kenya.

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Genetic diversity and population structure analysis of Lateolabrax maculatus from Chinese coastal waters using polymorphic microsatellite markers

Scientific Reports ◽

10.1038/s41598-021-93000-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Wei Wang ◽

Chunyan Ma ◽

Longling Ouyang ◽

Wei Chen ◽

Ming Zhao ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Structure Analysis ◽

Principal Component ◽

Genetic Constitution ◽

Southern Group ◽

Population Structure Analysis ◽

Lateolabrax Maculatus ◽

Geographic Populations ◽

Geographic Separation

AbstractIn order to provide valuable guidelines for the conservation of germplasm of Lateolabrax maculatus, the genetic diversity and population structure analysis were evaluated for eight geographic populations along coastal regions of China, using 11 microsatellite DNA markers. The genetic parameters obtained showed that, eight populations can be clustered into two groups, the Northern group and the Southern group, concordant with their geographical positions. The UPGMA tree constructed according to the Nei’s genetic distance along with the structure analysis and discriminant analysis of principal component also supported this result. This might be explained by the geographic separation and the divergent environmental conditions among the populations. It's worth noting that, QD (Qingdao) population from northern area was assigned to the Southern group and showed a close genetic relationship and similar genetic constitution with the southern populations. We speculated that large scales of anthropogenic transportation of wild fries from QD populations to the southern aquaculture areas in history should be the primary cause. The populations from GY (Ganyu), RD (Rudong) and BH (Binhai) had higher genetic diversity and showed limited genetic exchange with other populations, indicating better conservation of the natural resources in these regions. All populations were indicated to have experienced bottleneck events in history.

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Species delimitation and population structure in three Onosma (Boraginaceae) species

Biologia ◽

10.1515/biolog-2015-0151 ◽

2015 ◽

Vol 70 (10) ◽

Author(s):

Masoud Sheidai ◽

Samira Sadeghi ◽

Mahnaz-Arab Ameri ◽

Ahmad-Reza Mehrabeian

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Species Delimitation ◽

Genetic Difference ◽

Morphological Variability ◽

Morphological Diversity ◽

Mantel Test ◽

Geographical Distance ◽

Nj Tree ◽

Issr Molecular Markers

AbstractThe present study aimed to reveal genetic diversity and population structure in three Onosma species i.e., Onosma bulbotrichum DC., O. elwendicum Wettst. and O. sericeum Willd. (Boraginaceae) growing in Iran. This study was performed to check if the ISSR molecular markers could be used in the Onosma species delimitation. We also investigated the infra-specific morphological variability and if we can identify infra-species taxonomic forms. The present study revealed within species genetic and morphological diversity. ISSR data could delimit the studied species as they were separated from each other in NJ tree, maximum parsimony and STRUCTURE analysis. AMOVA and Hickory tests produced significant genetic difference among the studied species. The Mantel test showed no correlation between genetic distance and geographical distance of the populations for all three species. Reticulation analysis and Nm estimation showed gene flow among these populations. We could identify a few ISSR loci that are adaptive. Data obtained can be used in conservation of these medicinal plants in Iran.

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Genome-wide genetic diversity, population structure and admixture analysis in Eritrean Indigenous Cattle

South African Journal of Animal Science ◽

10.4314/sajas.v49i6.12 ◽

2020 ◽

Vol 49 (6) ◽

pp. 1083-1092

Author(s):

S Goitom ◽

M.G. Gicheha ◽

F.K. Njonge ◽

N Kiplangat

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Genetic Variability ◽

Population Differentiation ◽

Principal Component ◽

Vital Role ◽

Group Method ◽

Indigenous Cattle ◽

Ecological Zones ◽

Genome Wide

Indigenous cattle play a vital role in subsistence and livelihood of pastoral producers in Eritrea. In order to optimally utilize and conserve these valuable indigenous cattle genetic resources, the need to carry out an inventory of their genetic diversity was recognized. This study assessed the genetic variability, population structure and admixture of the indigenous cattle populations (ICPs) of Eritrea using a genotype by sequencing (GBS) approach. The authors genotyped 188 animals, which were sampled from 27 cattle populations in three diverse agro-ecological zones (western lowlands, highlands and eastern lowlands). The genome-wide analysis results from this study revealed genetic diversity, population structure and admixture among the ICPs. Averages of the minor allele frequency (AF), observed heterozygosity (HO), expected heterozygosity (HE), and inbreeding coefficient (FIS) were 0.157, 0.255, 0.218, and -0.089, respectively. Nei’s genetic distance (Ds) between populations ranged from 0.24 to 0.27. Mean population differentiation (FST) ranged from 0.01 to 0.30. Analysis of molecular variance revealed high genetic variation between the populations. Principal component analysis and the distance-based unweighted pair group method and arithmetic mean analyses revealed weak substructure among the populations, separating them into three genetic clusters. However, multi-locus clustering had the lowest cross-validation error when two genetically distinct groups were modelled. This information about genetic diversity and population structure of Eritrean ICPs provided a basis for establishing their conservation and genetic improvement programmes. Keywords: genetic variability, molecular characterization, population differentiation

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Insight into the Current Genetic Diversity and Population Structure of Domestic Reindeer (Rangifer tarandus) in Russia

Animals ◽

10.3390/ani10081309 ◽

2020 ◽

Vol 10 (8) ◽

pp. 1309

Author(s):

Veronika Kharzinova ◽

Arsen Dotsev ◽

Anastasiya Solovieva ◽

Olga Sergeeva ◽

Georgiy Bryzgalov ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Rangifer Tarandus ◽

Allelic Richness ◽

Environmental Changes ◽

Principal Component ◽

Genetic Structuring ◽

Habitat Location ◽

The Republic ◽

Insight Into

To examine the genetic diversity and population structure of domestic reindeer, using the BovineHD BeadChip, we genotyped reindeer individuals belonging to the Nenets breed of the five main breeding regions, the Even breed of the Republic of Sakha, the Evenk breed of the Krasnoyarsk and Yakutia regions, and the Chukotka breed of the Chukotka region and its within-breed ecotype, namely, the Chukotka–Khargin, which is bred in Yakutia. The Chukotka reindeer was shown to have the lowest genetic diversity in terms of the allelic richness and heterozygosity indicators. The principal component analysis (PCA) results are consistent with the neighbor-net tree topology, dividing the reindeer into groups according to their habitat location and origin of the breed. Admixture analysis indicated a genetic structuring of two groups of Chukotka origin, the Even breed and most of the geographical groups of the Nenets breed, with the exception of the Murmansk reindeer, the gene pool of which was comprised of the Nenets and apparently the native Sami reindeer. The presence of a genetic component of the Nenets breed in some reindeer inhabiting the Krasnoyarsk region was detected. Our results provide a deeper insight into the current intra-breeding reindeer genetic diversity, which is an important requirement for future reindeer herding strategies and for animal adaptation to environmental changes.

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Population Structure and Genetic Diversity in Korean Cowpea Germplasm Based on SNP Markers

Plants ◽

10.3390/plants9091190 ◽

2020 ◽

Vol 9 (9) ◽

pp. 1190 ◽

Cited By ~ 1

Author(s):

Eunju Seo ◽

Kipoong Kim ◽

Tae-Hwan Jun ◽

Jinsil Choi ◽

Seong-Hoon Kim ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Principal Component ◽

Snp Markers ◽

Nucleotide Polymorphisms ◽

Single Nucleotide ◽

Useful Knowledge ◽

Population Structure Analysis ◽

Group 3 ◽

Genetic Diversity Study

Cowpea is one of the most essential legume crops providing inexpensive dietary protein and nutrients. The aim of this study was to understand the genetic diversity and population structure of global and Korean cowpea germplasms. A total of 384 cowpea accessions from 21 countries were genotyped with the Cowpea iSelect Consortium Array containing 51,128 single-nucleotide polymorphisms (SNPs). After SNP filtering, a genetic diversity study was carried out using 35,116 SNPs within 376 cowpea accessions, including 229 Korean accessions. Based on structure and principal component analysis, a total of 376 global accessions were divided into four major populations. Accessions in group 1 were from Asia and Europe, those in groups 2 and 4 were from Korea, and those in group 3 were from West Africa. In addition, 229 Korean accessions were divided into three major populations (Q1, Jeonra province; Q2, Gangwon province; Q3, a mixture of provinces). Additionally, the neighbor-joining tree indicated similar results. Further genetic diversity analysis within the global and Korean population groups indicated low heterozygosity, a low polymorphism information content, and a high inbreeding coefficient in the Korean cowpea accessions. The population structure analysis will provide useful knowledge to support the genetic potential of the cowpea breeding program, especially in Korea.

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Genetic diversity, population structure and association analysis in coconut (Cocos nucifera L.) germplasm using SSR markers

Plant Genetic Resources ◽

10.1017/s1479262117000119 ◽

2017 ◽

Vol 16 (2) ◽

pp. 156-168 ◽

Cited By ~ 6

Author(s):

S. Geethanjali ◽

J. Anitha Rukmani ◽

D. Rajakumar ◽

P. Kadirvel ◽

P.L. Viswanathan

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Association Analysis ◽

Gene Diversity ◽

Cocos Nucifera ◽

Germplasm Collection ◽

Yield Component ◽

Chromosome 1 ◽

Genetic Structuring ◽

Model Based Clustering

AbstractA world-wide coconut germplasm collection (79 genotypes) was analyzed for genetic diversity and population structure based on 48 simple sequence repeat (SSR) loci. The genotypes displayed moderately high amount of genetic diversity, which was strongly structured according to geographical origins. Number of SSR alleles ranged from 2 to 7 with an average of 4.1 per locus. Gene diversity (expected heterozygosity) estimates ranged from 0.162 to 0.811 with a mean of 0.573. Polymorphism information content values ranged from 0.149 to 0.785 with an average of 0.522. Hierarchical clustering analysis grouped the genotypes into two major clusters with two sub-groups in each, which corresponded with the geographic origins. The first cluster comprised of ‘Tall’ genotypes originated from Indo-Atlantic and South Asia regions. The second cluster comprised mostly of ‘Dwarf’ genotypes and some Tall genotypes which originated from Indo-Pacific and South-East Asia regions. Model-based clustering by STRUCTURE analysis also supported the presence of clear genetic structuring in the collection with two major populations (K = 2) and four sub-populations (K = 4). The proportion of SSR locus-pairs in linkage disequilibrium was low (2.4%). Association analysis in a subset of 44 genotypes detected a single SSR locus, CnCir73 (chromosome 1) putatively associated with fruit yield component traits, which corresponded with a previously mapped quantitative trait locus in coconut.

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Genetic Diversity and Population Structure of Endangered Catfish Rita rita (Hamilton, 1822) Revealed by Heterologous DNA Microsatellite Markers

Asian Fisheries Science ◽

10.33997/j.afs.2021.34.2.007 ◽

2021 ◽

Vol 34 (2) ◽

Author(s):

MUHAMMAD FORHAD ALI ◽

◽

MD. RAFIQUL ISLAM SARDER ◽

MOHAMMAD MATIUR RAHMAN ◽

MD. FAZLUL AWAL MOLLAH ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Gene Diversity ◽

Polymorphic Information Content ◽

Genetic Difference ◽

Information Index ◽

Hardy Weinberg Equilibrium ◽

High Gene ◽

High Level ◽

Dna Microsatellite

Genetic information is essential for conservation and future aquaculture development of the endangered catfish Rita rita (Hamilton, 1822). Two hundred catfish, R. rita, 50 from four rivers, the Old Brahmaputra, Jamuna, Meghna and Kangsa were collected and analysed to evaluate the genetic diversity and population structure using five microsatellite primers (Cba06-KUL, Cba08-KUL, Cba09-KUL, Phy03-KUL and Phy07-KUL). Four of the five amplified loci were found polymorphic (P95) in all the populations and 46 alleles were recorded with 9 to 14 alleles per locus. Differences were observed in the total number of alleles ranging from 41 to 44, effective number of alleles from 29.96 to 37.46, observed heterozygosity from 0.57 to 0.76, Shannon’s information index from 2.09 to 2.30 and polymorphic information content from 0.84 to 0.88 among the four populations. Results exposed the highest levels of genetic diversity in the Meghna population while the lowest in the Kangsa population of R. rita. All the populations were significantly deviated (P < 0.001) from the Hardy-Weinberg equilibrium for all the loci. Nei’s genetic distance between populations ranged 0.007 to 0.017 with low overall genetic difference FST = 0.011 and high gene flow Nm = 24.333, indicating that R. rita populations were not subdivided. This study revealed a high level of gene diversity with deficiency in genetic heterogeneity in all the populations of R. rita, emphasising natural management, conservation and rehabilitation measures of this species.

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Indigenous rice of Northeast India harbor rich genetic diversity as measured by SSR markers and Zn/Fe content

10.21203/rs.2.13868/v1 ◽

2019 ◽

Author(s):

Vanlalsanga No Surname ◽

Sagolshem Priyokumar Singh ◽

Yengkhom Tunginba Singh

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Microsatellite Markers ◽

Oryza Sativa L ◽

Northeast India ◽

Rice Cultivars ◽

High Genetic Diversity ◽

Fe Content ◽

Ne India ◽

Improvement Programs

Abstract Background Rice (Oryza sativa L.) is one of the most important crops of the world and a major staple food for half of the World’s human population. The Northeastern (NE) region of India lies in the Indo-Burma biodiversity hotspot and about 45% of the total flora of the country is found in the region. Local rice cultivars from different states of NE India were analyzed for genetic diversity and population structure using microsatellite markers, and their zinc and iron content. Results A total of 149 bands were detected using twenty-two microsatellite markers comprising both random and trait-linked markers, showing 100% polymorphism and high value of expected heterozygosity (0.6311) and the polymorphism information content (0.5895). Nali Dhan cultivar of Arunachal Pradesh possessed the highest genetic diversity (0.3545) among studied populations while Moirangphou Khonganbi of Manipur exhibited the lowest genetic diversity (0.0343). The model-based population structure revealed that all the studied 65 rice cultivars were grouped into two clusters. Cluster I was represented by 36 cultivars and cluster II by 29 cultivars. Badalsali cultivar of Assam possessed the highest Zn content (75.8 μg/g) and Kapongla from Manipur possessed the lowest (17.98 μg/g). The highest and the lowest Fe content was found in Fazu (215.62 μg/g) and Idaw (11.42 μg/g) of Mizoram. Conclusion The result suggested rice cultivars of NE India possessing high genetic diversity (Nali Dhan), high Zn (Badalsali) and Fe (Fazu) content can be useful as a source of germplasm for future rice improvement programs.

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Genetic Diversity and Population Structure of Traditional Chinese Herb “Chai-Hu” Resources Using Genome-Wide SNPs Through Genotyping-By-Sequencing

10.21203/rs.3.rs-1194484/v1 ◽

2022 ◽

Author(s):

Ming Jiang ◽

Song Yan ◽

Weichao Ren ◽

Nannan Xing ◽

Hongyuan Li ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Chinese Herb ◽

Genetic Research ◽

Principal Component ◽

Genotyping By Sequencing ◽

Intrapopulation Variation ◽

Traditional Chinese Herb ◽

High Quality Snps ◽

Population Structure Analysis

Abstract Bupleurum (named “Chai-hu”) is an important traditional Chinese medicine resource in China. It has been widely used since ancient times and has antipyretic, analgesic and cholagogic functions, but there is little research on its genetic diversity. In this study, genotyping-by-sequencing (GBS) was used to detect SNP loci in 39 Bupleurum germplasm resources from different regions in China and analyse their genetic diversity. A total of 25.1 Gb of data was obtained by sequencing, with an average of 0.64 Gb per sample. After screening, 83898 high-quality SNPs were obtained. The results of genetic research were obtained by phylogenetic tree, principal component analysis and population structure analysis, and the 39 experimental materials were divided into three groups. The average observed heterozygosity and expected heterozygosity of Bupleurum populations were 0.24 and 0.17, respectively, indicating that Bupleurum populations from five different provinces had a low level of genetic diversity. Population nucleotide diversity analysis and analysis of molecular variance showed that the percentage of intrapopulation variation was 120.88%, while the percentage of interpopulation variation was only 2.46%. There was relative aggregation of Bupleurum samples with the same geographical origin, but the division of population structure was not completely correlated with sample origin. The results showed that the genetic diversity of the materials was low and that the genetic variation was narrow. This provides a good basis for the genetic breeding and protection of species diversity of Bupleurum.

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