Molecular Diversity Analysis of Jattal and Dera Din Panah Goat Breeds of Pakistan using Microsatellite Markers

Hussain, Tanveer; Shaheen, M.; Babar, Masroor Ellahi; Musthafa, Muneeb M.; Nadeem, Asif; Nawaz, Ali; Javed, Maryam; Marikar, Faiz M. M. T.

doi:10.12681/jhvms.16426

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…After adopting the rarefaction methodology [24], the mean allelic richness ranged from 4.36 (CAM) to 5.17 (FAC) in a sample size of eight individuals. Lower allelic diversity was found in many local goat breeds [37][38][39][40], but higher MNA values were reported in both Italian [41][42][43] and foreign [20,44] breeds. FAC had higher observed heterozygosity compared to the cosmopolitan breeds, with H O of 0.68.…”

Section: Genetic Variationmentioning

confidence: 99%

Molecular Identification of the “Facciuta Della Valnerina” Local Goat Population Reared in the Umbria Region, Italy

Ceccobelli

Lasagna

Demir

et al. 2020

Animals

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Italy holds important genetic resources of small ruminant breeds. By distinguishing goat breeds at the DNA level, certification of products from specific breeds can be valorized. The aim of this study was to establish the genetic identity of Facciuta della Valnerina, a local goat population of Italy, compared with the cosmopolitan breeds, Saanen and Camosciata delle Alpi, reared in the same geographic area. A total of 116 microsatellite alleles ranging from 4 to 13 were detected at 16 loci in the three goat populations/breeds. A total of 23 private alleles with frequencies lower than 0.3 were detected in the Facciuta della Valnerina population. The mean numbers of alleles were 6.67, 4.58, and 4.92 in Facciuta della Valnerina, Camosciata delle Alpi, and Saanen, respectively. The expected heterozygosity ranged from 0.20 to 0.86. Most loci were highly polymorphic and informative (polymorphic information content ≥0.50). Factorial correspondence analysis and principal components analysis revealed very clear separation between Facciuta della Valnerina and the two reference goat breeds. Reducing the number of markers from 16 to 12 (on the basis of polymorphic information content and the number of alleles) still allowed us to distinguish the local population, indicating that microsatellite markers are capable of discriminating local livestock breeds at a low cost.

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Section: Genetic Variationmentioning

confidence: 99%

Molecular Identification of the “Facciuta Della Valnerina” Local Goat Population Reared in the Umbria Region, Italy

Ceccobelli

Lasagna

Demir

et al. 2020

Animals

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“…In the last ten years, numerous genetic studies have been carried out in order to explore genetic diversity and identify loci related to climate change and production traits in different goat breeds [15][16][17][18]. However, there are only a few genomic studies focusing on Pakistani native goats, and the majority of these studies have been carried out using limited microsatellite marker resources, which prevents them from detecting novel variation at the complete sequence level [19,20].…”

Section: Introductionmentioning

confidence: 99%

Genomic analysis uncovers novel candidate genes related to adaptation to tropical climates and milk production traits in native goats

Zhang,

Asadollahpour Nanaei,

Jafarpour Negari

et al. 2024

BMC Genomics

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Background Since domestication, both evolutionary forces and human selection have played crucial roles in producing adaptive and economic traits, resulting in animal breeds that have been selected for specific climates and different breeding goals. Pakistani goat breeds have acquired genomic adaptations to their native climate conditions, such as tropical and hot climates. In this study, using next-generation sequencing data, we aimed to assess the signatures of positive selection in three native Pakistani goats, known as milk production breeds, that have been well adapted to their local climate. Results To explore the genomic relationship between studied goat populations and their population structure, whole genome sequence data from native goat populations in Pakistan (n = 26) was merged with available worldwide goat genomic data (n = 184), resulting in a total dataset of 210 individuals. The results showed a high genetic correlation between Pakistani goats and samples from North-East Asia. Across all populations analyzed, a higher linkage disequilibrium (LD) level (– 0.59) was found in the Pakistani goat group at a genomic distance of 1 Kb. Our findings from admixture analysis (K = 5 and K = 6) showed no evidence of shared genomic ancestry between Pakistani goats and other goat populations from Asia. The results from genomic selection analysis revealed several candidate genes related to adaptation to tropical/hot climates (such as; KITLG, HSPB9, HSP70, HSPA12B, and HSPA12B) and milk production related-traits (such as IGFBP3, LPL, LEPR, TSHR, and ACACA) in Pakistani native goat breeds. Conclusions The results from this study shed light on the structural variation in the DNA of the three native Pakistani goat breeds. Several candidate genes were discovered for adaptation to tropical/hot climates, immune responses, and milk production traits. The identified genes could be exploited in goat breeding programs to select efficient breeds for tropical/hot climate regions.

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Genetic diversity and phylogenetic relationship estimation of Shanxi indigenous goat breeds using microsatellite markers

Zhao,

Zhang,

Liu

et al. 2023

Animal Biotechnology

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Molecular Diversity Analysis of Jattal and Dera Din Panah Goat Breeds of Pakistan using Microsatellite Markers

Cited by 4 publications

References 11 publications

Molecular Identification of the “Facciuta Della Valnerina” Local Goat Population Reared in the Umbria Region, Italy

Molecular Identification of the “Facciuta Della Valnerina” Local Goat Population Reared in the Umbria Region, Italy

Genomic analysis uncovers novel candidate genes related to adaptation to tropical climates and milk production traits in native goats

Genetic diversity and phylogenetic relationship estimation of Shanxi indigenous goat breeds using microsatellite markers

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