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Genetic diversity, population structure and kinship relationships highlight the environmental influence on Uganda's indigenous goat populations.
Nantongo, Ziwena; Birungi, Josephine; Opiyo, Stephen Obol; Shirima, Gabriel; Mugerwa, Swidiq; Mutai, Collins; Kyalo, Martina; Munishi, Linus; Agaba, Morris; Mrode, Raphael.
Afiliação
  • Nantongo Z; Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.
  • Birungi J; School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
  • Opiyo SO; National Livestock Resources Research Institute, National Agricultural Research Organization, Kampala, Uganda.
  • Shirima G; Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.
  • Mugerwa S; Molecular and Cellular Imaging Center, The Ohio State University, Columbus, OH, United States.
  • Mutai C; Patira Data Science, Kampala, Uganda.
  • Kyalo M; School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
  • Munishi L; National Livestock Resources Research Institute, National Agricultural Research Organization, Kampala, Uganda.
  • Agaba M; Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.
  • Mrode R; Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.
Front Genet ; 15: 1385611, 2024.
Article em En | MEDLINE | ID: mdl-38873114
ABSTRACT
Knowledge about genetic diversity and population structure among goat populations is essential for understanding environmental adaptation and fostering efficient utilization, development, and conservation of goat breeds. Uganda's indigenous goats exist in three phenotypic groups Mubende, Kigezi, and Small East African. However, a limited understanding of their genetic attributes and population structure hinders the development and sustainable utilization of the goats. Using the Goat Illumina 60k chip International Goat Genome Consortium V2, the whole-genome data for 1,021 indigenous goats sourced from 10 agroecological zones in Uganda were analyzed for genetic diversity and population structure. A total of 49,337 (82.6%) single-nucleotide polymorphism markers were aligned to the ARS-1 goat genome and used to assess the genetic diversity, population structure, and kinship relationships of Uganda's indigenous goats. Moderate genetic diversity was observed. The observed and expected heterozygosities were 0.378 and 0.383, the average genetic distance was 0.390, and the average minor allele frequency was 0.30. The average inbreeding coefficient (Fis) was 0.014, and the average fixation index (Fst) was 0.016. Principal component analysis, admixture analysis, and discriminant analysis of principal components grouped the 1,021 goat genotypes into three genetically distinct populations that did not conform to the known phenotypic populations but varied across environmental conditions. Population 1, comprising Mubende (90%) and Kigezi (8.1%) goats, is located in southwest and central Uganda, a warm and humid environment. Population 2, which is 59% Mubende and 49% Small East African goats, is located along the Nile Delta in northwestern Uganda and around the Albertine region, a hot and humid savannah grassland. Population 3, comprising 78.4% Small East African and 21.1% Mubende goats, is found in northeastern to eastern Uganda, a hot and dry Commiphora woodlands. Genetic diversity and population structure information from this study will be a basis for future development, conservation, and sustainable utilization of Uganda's goat genetic resources.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Genet Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Quênia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Genet Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Quênia