Genetic diversity, population structure and kinship relationships highlight the environmental influence on Uganda's indigenous goat populations.

Kigezi goats Mubende goats Small East African goats Uganda genetic diversity indigenous goats kinship relatedness population structure

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2024
Historique:
received: 13 02 2024
accepted: 22 04 2024
medline: 14 6 2024
pubmed: 14 6 2024
entrez: 14 6 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38873114
doi: 10.3389/fgene.2024.1385611
pii: 1385611
pmc: PMC11169577
doi:

Banques de données

Dryad
['10.5061/dryad.w0vt4b910']

Types de publication

Journal Article

Langues

eng

Pagination

1385611

Informations de copyright

Copyright © 2024 Nantongo, Birungi, Opiyo, Shirima, Mugerwa, Mutai, Kyalo, Munishi, Agaba and Mrode.

Déclaration de conflit d'intérêts

Author SO was employed by Patira Data Science. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Ziwena Nantongo (Z)

Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.
School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
National Livestock Resources Research Institute, National Agricultural Research Organization, Kampala, Uganda.

Josephine Birungi (J)

Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.

Stephen Obol Opiyo (SO)

Molecular and Cellular Imaging Center, The Ohio State University, Columbus, OH, United States.
Patira Data Science, Kampala, Uganda.

Gabriel Shirima (G)

School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.

Swidiq Mugerwa (S)

National Livestock Resources Research Institute, National Agricultural Research Organization, Kampala, Uganda.

Collins Mutai (C)

Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.

Martina Kyalo (M)

Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.

Linus Munishi (L)

School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.

Morris Agaba (M)

School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.

Raphael Mrode (R)

Biosciences Eastern and Central Africa, International Livestock Research Institute, Consortium of International Agricultural Research Centers (CGIAR), Nairobi, Kenya.
Scotland Rural College, Edinburgh, United Kingdom.

Classifications MeSH