» Articles » PMID: 38839789

Whole Genome Sequences of 70 Indigenous Ethiopian Cattle

Overview
Journal Sci Data
Specialty Science
Date 2024 Jun 5
PMID 38839789
Authors
Affiliations
Soon will be listed here.
Abstract

Indigenous animal genetic resources play a crucial role in preserving global genetic diversity and supporting the livelihoods of millions of people. In Ethiopia, the majority of the cattle population consists of indigenous breeds. Understanding the genetic architecture of these cattle breeds is essential for effective management and conservation efforts. In this study, we sequenced DNA samples from 70 animals from seven indigenous cattle breeds, generating about two terabytes of pair-end reads with an average coverage of 14X. The sequencing data were pre-processed and mapped to the cattle reference genome (ARS-UCD1.2) with an alignment rate of 99.2%. Finally, the variant calling process produced approximately 35 million high-quality SNPs. These data provide a deeper understanding of the genetic landscape, facilitate the identification of causal mutations, and enable the exploration of evolutionary patterns to assist cattle improvement and sustainable utilization, particularly in the face of unpredictable climate changes.

Citing Articles

Whole-genome sequencing of copy number variation analysis in Ethiopian cattle reveals adaptations to diverse environments.

Ayalew W, Xiaoyun W, Tarekegn G, Tessema T, Chu M, Liang C BMC Genomics. 2024; 25(1):1088.

PMID: 39548375 PMC: 11566455. DOI: 10.1186/s12864-024-10936-5.

References
1.
Li H, Durbin R . Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009; 25(14):1754-60. PMC: 2705234. DOI: 10.1093/bioinformatics/btp324. View

2.
Guo Y, Ye F, Sheng Q, Clark T, Samuels D . Three-stage quality control strategies for DNA re-sequencing data. Brief Bioinform. 2013; 15(6):879-89. PMC: 4492405. DOI: 10.1093/bib/bbt069. View

3.
Rashkin S, Jun G, Chen S, Abecasis G . Optimal sequencing strategies for identifying disease-associated singletons. PLoS Genet. 2017; 13(6):e1006811. PMC: 5501675. DOI: 10.1371/journal.pgen.1006811. View

4.
Bolger A, Lohse M, Usadel B . Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014; 30(15):2114-20. PMC: 4103590. DOI: 10.1093/bioinformatics/btu170. View

5.
Mwai O, Hanotte O, Kwon Y, Cho S . African Indigenous Cattle: Unique Genetic Resources in a Rapidly Changing World. Asian-Australas J Anim Sci. 2015; 28(7):911-21. PMC: 4478499. DOI: 10.5713/ajas.15.0002R. View