Abstract:Background
To assess the genetic diversity of seven Yunnan indigenous goat populations (Fengqing hornless goat, Mile red‐bone goat, Longling goat, Ninglang black goat, Black‐bone goat, Yunling black goat, and Zhaotong goat), their population structures were investigated using 20 microsatellite markers.
Results
The results indicated that the genetic diversity of these goats was rich. The observed heterozygosity ranged from 0.4667 ± 0.0243 to 0.5793 ± 0.0230, and the mean number of alleles ranged from 4.80 ± 1.6… Show more
“…The genetic diversity parameters of nine sheep populations, including mean number of effective alleles (N A ), the expected heterozygosity (H E ), the observed heterozygosity (H O ), the polymorphic information content (PIC) and Nei's unbiased gene diversity (H S ), were calculated using Microsatellite Toolkit software 3.1.1 (Park, 2008). The genetic parameters for each microsatellite locus, including the effective number of alleles (N E ), the allelic richness over all samples per locus (Rt), the fixation index within populations (F IS ), the fixation indices of total population (F IT ) and the pairwise differences between the populations (F ST ), were obtained using FSTAT 2.9.3.2 (Goudet et al, 2002). Dispan was used to calculate the genetic distance of D A and D S between populations and build the phylogenetic tree (Nei et al, 1983).…”
Section: Discussionmentioning
confidence: 99%
“…Dispan was used to calculate the genetic distance of D A and D S between populations and build the phylogenetic tree (Nei et al, 1983). Population structure was analyzed by Structure 2.3.4 with Bayesian clustering model, and its results were visualized by Distruct 1.1 (Falush et al, 2003;Pritchard et al, 2000;Rosenberg, 2003). TreeMix 1.13 was used to construct a maximum likelihood tree and infer migration events between branches (Pickrell et al, 2012).…”
Abstract. The objective of this study was to assess the genetic diversity and
phylogenetic relationship of nine sheep populations, including two famous
high prolific populations and seven popular mutton populations raised in
China. Overall, these sheep populations in this study exhibited a rich
genetic diversity. Both the expected heterozygosity and Nei's unbiased gene
diversity ranged from 0.64 to 0.75, with the lowest value found in Dorset sheep (DST) and
the highest in Hu sheep (HUS) and Ba Han sheep (BAS). The polymorphic information content (PIC) varied between 0.59 in DST and 0.71 in HUS and BAS. Specifically, for
individual breeds, the small-tail Han sheep (STH) and the four introduced populations did not
display the expected diversity; therefore more attention should be paid to
the maintenance of diversity during management of these populations. The
results of un-weighted pair-group method (UPGMA) phylogenetic tree and structure analysis indicated that the
nine investigated populations can be divided into two groups. Suffolk (SUF) and DST
were clustered in one group, and the other group can be further divided into
three clusters: German Mutton Merino (GMM)–BAS–Bamei Mutton sheep (BAM), HUS–STH and Du Han (DOS)–Dorper (DOP). This clustering result is
consistent with sheep breeding history. TreeMix analysis also hinted at the
possible gene flow from GMM to SUF. Together, an in-depth view of genetic
diversity and genetic relationship will have important implications for
breed-specific management.
“…The genetic diversity parameters of nine sheep populations, including mean number of effective alleles (N A ), the expected heterozygosity (H E ), the observed heterozygosity (H O ), the polymorphic information content (PIC) and Nei's unbiased gene diversity (H S ), were calculated using Microsatellite Toolkit software 3.1.1 (Park, 2008). The genetic parameters for each microsatellite locus, including the effective number of alleles (N E ), the allelic richness over all samples per locus (Rt), the fixation index within populations (F IS ), the fixation indices of total population (F IT ) and the pairwise differences between the populations (F ST ), were obtained using FSTAT 2.9.3.2 (Goudet et al, 2002). Dispan was used to calculate the genetic distance of D A and D S between populations and build the phylogenetic tree (Nei et al, 1983).…”
Section: Discussionmentioning
confidence: 99%
“…Dispan was used to calculate the genetic distance of D A and D S between populations and build the phylogenetic tree (Nei et al, 1983). Population structure was analyzed by Structure 2.3.4 with Bayesian clustering model, and its results were visualized by Distruct 1.1 (Falush et al, 2003;Pritchard et al, 2000;Rosenberg, 2003). TreeMix 1.13 was used to construct a maximum likelihood tree and infer migration events between branches (Pickrell et al, 2012).…”
Abstract. The objective of this study was to assess the genetic diversity and
phylogenetic relationship of nine sheep populations, including two famous
high prolific populations and seven popular mutton populations raised in
China. Overall, these sheep populations in this study exhibited a rich
genetic diversity. Both the expected heterozygosity and Nei's unbiased gene
diversity ranged from 0.64 to 0.75, with the lowest value found in Dorset sheep (DST) and
the highest in Hu sheep (HUS) and Ba Han sheep (BAS). The polymorphic information content (PIC) varied between 0.59 in DST and 0.71 in HUS and BAS. Specifically, for
individual breeds, the small-tail Han sheep (STH) and the four introduced populations did not
display the expected diversity; therefore more attention should be paid to
the maintenance of diversity during management of these populations. The
results of un-weighted pair-group method (UPGMA) phylogenetic tree and structure analysis indicated that the
nine investigated populations can be divided into two groups. Suffolk (SUF) and DST
were clustered in one group, and the other group can be further divided into
three clusters: German Mutton Merino (GMM)–BAS–Bamei Mutton sheep (BAM), HUS–STH and Du Han (DOS)–Dorper (DOP). This clustering result is
consistent with sheep breeding history. TreeMix analysis also hinted at the
possible gene flow from GMM to SUF. Together, an in-depth view of genetic
diversity and genetic relationship will have important implications for
breed-specific management.
“…Yunnan province is located in southwestern China, bordering the countries of Myanmar, Laos, and Vietnam. It is characterized by its complex topography, diverse climate, and abundant biodiversity and is the home to the highest concentration of ethnic minorities [ 6 , 7 ]. During long-term natural and artificial selection, various local goat breeds in Yunnan province emerge with divergent traits.…”
Section: Introductionmentioning
confidence: 99%
“…Longling yellow goat is a unique breed with high meat quality and disease resistance and is included in the Yunnan Province Livestock and Poultry Genetic Resources Protection List to better safeguard this exceptional breed. This situation highlights the need for comprehensive genetic studies, such as those employing microsatellite markers to assess genetic diversity in Yunnan indigenous goat populations [ 7 ], underscoring the importance of conservation and utilization for these unique goat breeds in Yunnan. However, a comprehensive analysis of the genome-wide patterns of homozygosity and selection signatures in these breeds is still lacking.…”
Runs of Homozygosity (ROH) are continuous homozygous DNA segments in diploid genomes, which have been used to estimate the genetic diversity, inbreeding levels, and genes associated with specific traits in livestock. In this study, we analyzed the resequencing data from 10 local goat breeds in Yunnan province of China and five additional goat populations obtained from a public database. The ROH analysis revealed 21,029 ROH segments across the 15 populations, with an average length of 1.27 Mb, a pattern of ROH, and the assessment of the inbreeding coefficient indicating genetic diversity and varying levels of inbreeding. iHS (integrated haplotype score) was used to analyze high-frequency Single-Nucleotide Polymorphisms (SNPs) in ROH regions, specific genes related to economic traits such as coat color and weight variation. These candidate genes include OCA2 (OCA2 melanosomal transmembrane protein) and MLPH (melanophilin) associated with coat color, EPHA6 (EPH receptor A6) involved in litter size, CDKAL1 (CDK5 regulatory subunit associated protein 1 like 1) and POMC (proopiomelanocortin) linked to weight variation and some putative genes associated with high-altitude adaptability and immune. This study uncovers genetic diversity and inbreeding levels within local goat breeds in Yunnan province, China. The identification of specific genes associated with economic traits and adaptability provides actionable insights for utilization and conservation efforts.
“…In particular, H E of the six goat populations was higher than their H O in this study, thereby indicating that decreased heterozygosis is common in these goat populations. Notably, the small population size and unbalanced mating ratio, particularly when a few satisfactory breeding males provided the group a high proportion of spouse rights, will cause the population to deviate from the balance and lead to increased risks in the population (Yang et al, 2021;Guang-Xin et al, 2019;Basang et al, 2021). Therefore, some of these populations, especially JZG and BJG, still showed potential risks of inbreeding.…”
Goats are an important domestic animal for animal husbandry that has attracted considerable research attention worldwide. Genetic diversity assessment and population genetic structure of indigenous goats can provide valuable conservation strategies. The current study aimed to evaluate the genetic diversity and population structure of six goat populations from Chongqing, China. A total of 145 animals from five local goat populations, namely, Youzhou black (UZG), Jianzhou (JZG), Banjiao (BJG), Dazu (DZG) and Hechuan white goat (HCG) and an introduced breed called Nubia goat (NBG) located in Chongqing, China were genotyped with 18 autosomal microsatellite markers. A series of genetic diversity parameters and population phylogeny were estimated and constructed. This study preliminarily showed that the six goat populations present rich genetic diversity and significant genetic divergence among them. Furthermore, material exchanges were observed between the introduced and local goat populations in Chongqing. This result will further explain the diversity conservation of Chongqing goat populations.
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