New Insights into Genetic Diversity and Differentiation of 11 Buffalo Populations Using Validated SNPs for Dairy Improvement
文献类型: 外文期刊
作者: Pauciullo, Alfredo 1 ; Gaspa, Giustino 1 ; Versace, Carmine 1 ; Cosenza, Gianfranco 2 ; Piscopo, Nadia 3 ; Gu, Meichao 4 ; Coletta, Angelo 5 ; Hussain, Tanveer 6 ; Seidavi, Alireza 7 ; Nicolae, Ioana 8 ; Kovitvadhi, Attawit 9 ; Liu, Qingyou 10 ; Shang, Jianghua 11 ; Si, Jingfang 12 ; Dai, Dongmei 12 ; Zhang, Yi 12 ;
作者机构: 1.Univ Torino, Dept Agr Forest & Food Sci, I-10095 Turin, Italy
2.Univ Napoli Federico II, Dept Agr, I-80055 Naples, Italy
3.Univ Napoli Federico II, Dept Vet Med & Anim Prod, I-80137 Naples, Italy
4.Natl Inst Biol Sci, Beijing 102206, Peoples R China
5.Research Innovat & Select Buffalo, I-81100 Caserta, Italy
6.Virtual Univ Pakistan, Dept Biol Sci, Islamabad 44000, Pakistan
7.Islamic Azad Univ, Dept Anim Sci, Rasht Branch, Rasht 4147654919, Iran
8.Res & Dev Inst Bovine Breeding, Bucharest 077015, Romania
9.Kasetsart Univ, Dept Physiol, Bangkok 10900, Thailand
10.Foshan Univ, Sch Life Sci & Engn, Foshan 528225, Peoples R China
11.Chinese Acad Agr Sci, Buffalo Res Inst, Nanning 530001, Peoples R China
12.China Agr Univ, Coll Anim Sci & Technol, Beijing 100193, Peoples R China
关键词: river buffalo; swamp buffalo; wild buffalo; genetic diversity; F-ST; casein
期刊名称:GENES ( 影响因子:2.8; 五年影响因子:3.2 )
ISSN:
年卷期: 2025 年 16 卷 4 期
页码:
收录情况: SCI
摘要: Background/Objectives: Buffalo populations exhibit distinct genetic variations influenced by domestication history, geographic distribution, and selection pressures. This study investigates the genetic structure and differentiation of 11 buffalo populations, focusing on five loci related to milk protein (CSN1S1 and CSN3) and fat metabolism (LPL, DGAT1 and SCD). The aim is to assess genetic variation between river, swamp, and wild-type buffaloes and identify key loci contributing to population differentiation. Methods: Genetic diversity was analyzed through allele frequency distribution, the Hardy-Weinberg equilibrium testing, and observed (Ho) and expected heterozygosity (He) calculations. Population structure was assessed using principal component analysis (PCA), F-ST statistics, and phylogenetic clustering (k-means and UPGMA tree). The silhouette score (SS) and the Davies-Bouldin index (DBI) were applied to determine optimal population clustering. Results: Significant genetic differentiation was observed between river and swamp buffaloes (p < 0.001). DGAT1 and CSN3 emerged as key markers distinguishing buffalo types. The Italian Mediterranean buffalo exhibited the highest genetic diversity (Ho = 0.464; He = 0.454), while the Indonesian, Chinese, and Vietnamese populations showed low heterozygosity, likely due to selection pressures and geographic isolation. The global F-ST (0.2143; p = 0.001) confirmed moderate differentiation, with closely related populations (e.g., Nepal and Pakistan) exhibiting minimal genetic divergence, while distant populations (e.g., Egypt and Indonesia) showed marked differences, and the Romanian population showed a unique genetic position. Conclusions: These findings contribute to a deeper understanding of buffalo genetic diversity and provide a valuable basis for exploiting the potential of this species in the light of future breeding and conservation strategies specific for each buffalo type.
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