Evidence map›Paper›PMID 39548375›Full record

ArticleBMC genomics2024

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

Wondossen Ayalew, Wu Xiaoyun, Getinet Mekuriaw Tarekegn, Tesfaye Sisay Tessema, Min Chu, Chunnian Liang, Rakan Naboulsi, Renaud Van Damme, Erik Bongcam-Rudloff, Yan Ping

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Research evolution of flat peach (Frontiers in plant science · 2025
    Pooled it
  2. Genome-wide characterization of copy number variations in Nagami Mithun (Bos frontalis) using whole-genome resequencing.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
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  8. Review
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  11. Genome-wide detection of copy number variations in indigenous Red Sindhi cattle using ddRAD sequencing.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  12. Exploring the genetic footprints of high altitude adapted humans and livestock.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  13. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Wondossen AyalewKey Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 30050, P.R. China.
Wu XiaoyunKey Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 30050, P.R. China. wuxiaoyun@caas.cn.
Getinet Mekuriaw TarekegnInstitute of Biotechnology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia. getinet.tarekegn@sruc.ac.uk.
Tesfaye Sisay TessemaInstitute of Biotechnology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
Min ChuKey Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 30050, P.R. China.
Chunnian LiangKey Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 30050, P.R. China.
Rakan NaboulsiChildhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institute, Tomtebodavägen 18A, Stockholm, 17177, Sweden.
Renaud Van DammeDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden.
Erik Bongcam-RudloffDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden.
Yan PingKey Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, 30050, P.R. China. pingyanlz@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenomic structural variations (GSVs), notably copy number variations (CNVs), significantly shape genetic diversity and facilitate adaptation in cattle populations. Despite their importance, the genome-wide characterization of CNVs in indigenous Ethiopian cattle breeds-Abigar, Fellata, and Gojjam-Highland remains largely unexplored. In this study, we applied a read-depth approach to whole genome sequencing (WGS) data to conduct the first comprehensive analysis of CNVs in these populations.

resultsWe identified 3,893 CNV regions (CNVRs) covering 19.15 Mb (0.71% of the cattle genome). These CNVRs ranged from 1.60 kb to 488.0 kb, with an average size of 4.92 kb. These CNVRs included deletions (1713), duplications (1929), and mixed events (251) showing notable differences in distribution among the breeds. Four out of five randomly selected CNVRs were successfully validated using real time polymerase chain reaction (qPCR). Further analyses identified candidate genes associated with high-altitude adaptation (GBE1 and SOD1), heat stress adaptation (HSPA13, DNAJC18, and DNAJC8) and resistance to tick infestations (BoLA and KRT33A). In addition, variance stabilizing transformation (V

conclusionsOur comprehensive analysis reveals significant CNVRs associated with key adaptive traits in Ethiopian cattle breeds highlighting their genetic diversity and resilience. These findings offer valuable insights into the genetic basis of adaptability and can inform sustainable breeding practices and conservation efforts. Future research should prioritize the functional validation of these CNVRs and their integration into breeding programs to enhance traits such as disease resistance and environmental adaptability.

Indexed as

Adaptation, PhysiologicalDNA Copy Number VariationsWhole Genome SequencingAnimalsCattleEthiopiaGenomeAdaptationCopy number variationEthiopian cattleWhole-genome sequencing

Identifiers

PMID39548375
PMCPMC11566455

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.