Evidence map›Paper›PMID 35428239›Full record

ArticleBMC genomics2022

Genome-wide investigations reveal the population structure and selection signatures of Nigerian cattle adaptation in the sub-Saharan tropics.

David H Mauki, Abdulfatai Tijjani, Cheng Ma, Said I Ng'ang'a, Akanbi I Mark, Oscar J Sanke, Abdussamad M Abdussamad, Sunday C Olaogun, Jebi Ibrahim, Philip M Dawuda and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

18 authors at 13 institutions in 3 countries.

David H MaukiState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Abdulfatai TijjaniInternational Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.
Cheng MaState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Said I Ng'ang'aState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Akanbi I MarkMinistry of Agriculture and Rural Development, Secretariat, Ibadan, Nigeria.
Oscar J SankeTaraba State Ministry of Agriculture and Natural Resources, Jalingo, Nigeria.
Abdussamad M AbdussamadDepartment of Animal Science, Faculty of Agriculture, Bayero University, Kano, Nigeria.
Sunday C OlaogunDepartment of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
Jebi IbrahimDepartment of Veterinary Surgery and Theriogenology, College of Veterinary Medicine, University of Agriculture Makurdi, Makurdi, Nigeria.
Philip M DawudaDepartment of Veterinary Surgery and Theriogenology, College of Veterinary Medicine, University of Agriculture Makurdi, Makurdi, Nigeria.
Godwin F MangbonDivision of Veterinary Office, Serti, Nigeria.
Rudovick R KazwalaFaculty of Veterinary Medicine, Sokoine University of Agriculture, Morogoro, Tanzania.
Paul S GwakisaDepartment of Microbiology, Parasitology and Biotechnology/ Genome Science Center, Sokoine University of Agriculture, Morogoro, Tanzania.
Ting-Ting YinState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Yan LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China.
Min-Sheng PengState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Adeniyi C AdeolaState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. chadeola@mail.kiz.ac.cn.
Ya-Ping ZhangState Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. zhangyp@mail.kiz.ac.cn.
University of Chinese Academy of Sciences · CNChinese Academy of Sciences · CNSokoine University of Agriculture · TZUniversity of Agriculture · NGBayero University Kano · NGFederal Ministry of Agriculture and Rural Development · NGKunming Institute of Zoology · CNNational Primary Health Care Development Agency · NGNational Veterinary Research Institute · NGShenzhen Institutes of Advanced Technology · CNTaraba State University · NGUniversity of Ibadan · NGYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCattle are considered to be the most desirable livestock by small scale farmers. In Africa, although comprehensive genomic studies have been carried out on cattle, the genetic variations in indigenous cattle from Nigeria have not been fully explored. In this study, genome-wide analysis based on genotyping-by-sequencing (GBS) of 193 Nigerian cattle was used to reveal new insights on the history of West African cattle and their adaptation to the tropical African environment, particularly in sub-Saharan region. 

resultsThe GBS data were evaluated against whole-genome sequencing (WGS) data and high rate of variant concordance between the two platforms was evident with high correlated genetic distance matrices genotyped by both methods suggestive of the reliability of GBS applicability in population genetics. The genetic structure of Nigerian cattle was observed to be homogenous and unique from other African cattle populations. Selection analysis for the genomic regions harboring imprints of adaptation revealed genes associated with immune responses, growth and reproduction, efficiency of feeds utilization, and heat tolerance. Our findings depict potential convergent adaptation between African cattle, dogs and humans with adaptive genes SPRY2 and ITGB1BP1 possibly involved in common physiological activities.

conclusionThe study presents unique genetic patterns of Nigerian cattle which provide new insights on the history of cattle in West Africa based on their population structure and the possibility of parallel adaptation between African cattle, dogs and humans in Africa which require further investigations.

Indexed as

GenomePolymorphism, Single NucleotideAnimalsCattleGenetics, PopulationNigeriaReproducibility of ResultsSelection, GeneticAfricaCattleConvergent evolutionGenomeGenotyping-by-sequencing

Identifiers

PMID35428239
PMCPMC9012019
OpenAlexW4223942982

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.