Detection of selection signatures in indigenous African cattle reveals genomic footprints of adaptation, production and temperament traits
Rodney Okwasiimire, Donald R. Kugonza, Junxin Gao, Melak Weldenegodguad, Mahlako L. Makgahlela, Nasser Ghanem, Catarina Ginja, Richard P. M. A. Crooijmans, Juha Kantanen, Pekka Uimari, Kisun Pokharel

TL;DR
This study identifies genes in Ugandan indigenous cattle linked to adaptation, disease resistance, and production traits using whole-genome sequencing.
Contribution
The study reveals novel genes and genomic regions under selection in African cattle, offering insights for breeding and conservation.
Findings
803 candidate genes were identified using RAiSD, including SLC37A1, CHCHD3, and RAB3GAP1.
49 genes were found through ROH analysis, such as IL26, FBXL7, and HSPA9.
107 novel genes were linked to traits like tropical adaptation and disease resistance.
Abstract
Indigenous cattle account for approximately 80% of Uganda’s cattle population. These animals are well adapted to the country’s ten agroecological zones and are mainly kept under pastoral and agropastoral systems. Unlike commercial breeds, they thrive on low-quality feeds, while tolerating major tropical diseases and parasites including tsetse flies, ticks, and vector-borne infections. Whole-genome sequence (WGS) analysis offers opportunities to uncover genomic regions underlying these adaptations and to trace the genetic footprints of long-term breeding decisions taken by cattle keepers. In this study, WGS data from 95 animals representing six indigenous cattle populations (Ankole, Karamojong, Nganda10, Nganda17, Nkedi, and Ntuku) were analyzed to identify genomic regions under putative selection. Two complementary approaches were applied: enumeration of the µ-statistic in RAiSD and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsGenetic and phenotypic traits in livestock · Livestock and Poultry Management · Genetic Mapping and Diversity in Plants and Animals
