Suppr超能文献

印度马哈拉施特拉邦五种德干尼绵羊生态型的分类及保护优先级

Classification and conservation priority of five Deccani sheep ecotypes of Maharashtra, India.

作者信息

Yadav Dinesh Kumar, Arora Reena, Jain Anand

机构信息

ICAR-National Bureau of Animal Genetic Resources, Karnal (Haryana), India.

出版信息

PLoS One. 2017 Sep 14;12(9):e0184691. doi: 10.1371/journal.pone.0184691. eCollection 2017.

Abstract

Characterization of Indian livestock breeds has mostly been limited to single breed/population focused on either physical description of traditionally recognized breeds/populations or to their genetic description. Usually, morphological and genetic characterization has taken place in isolation. A parallel morphological characterization of genetically identified breeds or genetic characterization of morphologically described breeds is mostly missing, and their conservation priorities have largely been based on solely considering degree of endangerment. This study uses parallel approach based on morphometric and genetic differentiation for classification of five sheep ecotypes of Maharashtra state, and sets their conservation priority using threat parameters, current utilities/merits and contribution to genetic diversity. A total of 1101 animals were described for 7 body measurements for morphometric characterization. From this sample set, 456 animals were genotyped for 25 microsatellite markers for genetic characterization. Conservation priorities were assessed combining genetic and non-genetic factors. All studied traits varied significantly among ecotypes (p<0.05). All morphometric traits exhibited substantial sexual dimorphism except ear length. Males were 42% heavier than females. Madgyal sheep were the largest amongst the five ecotypes. In the stepwise discriminant analysis, all measured traits were significant and were found to have potential discriminatory power. Tail length was the most discriminatory trait. The Mahalanobis distance of the morphological traits between Kolhapuri and Madgyal was maximum (12.07) while the least differentiation was observed between Madgyal and Solapuri (1.50). Discriminant analysis showed that 68.12% sheep were classified into their source population. The Sangamneri sheep showed least assignment error (22%) whilst Solapuri exhibited maximum error level (41%). A total of 407 alleles were observed, with an average of 16.28 alleles per locus. Sufficient levels of genetic diversity were observed in all the ecotypes with observed heterozygosity values exceeding 0.47 and gene diversity values exceeding 0.76. About 6% of the total genetic variation was explained by population differences (FST = 0.059). Pairwise FST values indicated least differentiation between Solapuri and Madgyal (0.025). In terms of genetic distances, Kolhapuri and Lonand were most closely related (Ds = 0.177). The most probable structure clustering of the five studied populations was at K = 5. The study showed a fair congruence between the dendrogram constructed on the basis of Mahalanobis distances and Nei's as well as Reynolds genetic distances. The findings gave highest conservation priority to Lonand and least to Solapuri ecotype.

摘要

印度家畜品种的特征描述大多局限于单一品种/群体,要么侧重于对传统认可品种/群体的物理描述,要么侧重于其基因描述。通常,形态学和基因特征描述是分开进行的。基因鉴定品种的平行形态学特征描述或形态学描述品种的基因特征描述大多缺失,而且它们的保护优先级很大程度上仅基于濒危程度来确定。本研究采用基于形态测量和基因分化的平行方法对马哈拉施特拉邦的五种绵羊生态型进行分类,并利用威胁参数、当前用途/优点以及对遗传多样性的贡献来确定它们的保护优先级。总共对1101只动物进行了7项身体测量以进行形态测量特征描述。从这个样本集中,选取了456只动物对25个微卫星标记进行基因分型以进行基因特征描述。综合基因和非基因因素评估保护优先级。所有研究的性状在生态型之间差异显著(p<0.05)。除耳长外,所有形态测量性状均表现出显著的两性差异。雄性比雌性重42%。马德贾尔绵羊是五种生态型中体型最大的。在逐步判别分析中,所有测量性状均具有显著性,且具有潜在的判别能力。尾长是最具判别力的性状。科尔哈普里绵羊和马德贾尔绵羊之间形态性状的马氏距离最大(12.07),而马德贾尔绵羊和索拉普里绵羊之间的分化最小(1.50)。判别分析表明,68.12%的绵羊被归类到其来源群体。桑加姆内里绵羊的分配误差最小(22%),而索拉普里绵羊的误差水平最高(41%)。总共观察到407个等位基因,每个位点平均有16.28个等位基因。在所有生态型中均观察到足够水平的遗传多样性,观察到的杂合度值超过0.47,基因多样性值超过0.76。约6%的总遗传变异可由群体差异解释(FST = 0.059)。成对FST值表明索拉普里绵羊和马德贾尔绵羊之间的分化最小(0.025)。就遗传距离而言,科尔哈普里绵羊和洛南绵羊关系最为密切(Ds = 0.177)。五个研究群体最可能的结构聚类数为K = 5。研究表明,基于马氏距离构建的树状图与内氏以及雷诺兹遗传距离之间具有较好的一致性。研究结果给予洛南绵羊最高的保护优先级,而给予索拉普里生态型最低的保护优先级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/5598990/ad7f0700a6bb/pone.0184691.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验