Evidence map›Paper›PMID 28499406›Full record

ArticleBMC genomics2017

Cattle genome-wide analysis reveals genetic signatures in trypanotolerant N'Dama.

Soo-Jin Kim, Sojeong Ka, Jung-Woo Ha, Jaemin Kim, DongAhn Yoo, Kwondo Kim, Hak-Kyo Lee, Dajeong Lim, Seoae Cho, Olivier Hanotte and 5 more

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

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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

24 citing papers in PubMed.

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  20. SNP Diversity inGenes · 2020
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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

15 authors.

Soo-Jin KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Sojeong KaDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Jung-Woo HaClova, NAVER Corp., Seongnam, 13561, Republic of Korea.
Jaemin KimC&K Genomics, Seoul National University Research Park, Seoul, 151-919, Republic of Korea.
DongAhn YooC&K Genomics, Seoul National University Research Park, Seoul, 151-919, Republic of Korea.
Kwondo KimC&K Genomics, Seoul National University Research Park, Seoul, 151-919, Republic of Korea.
Hak-Kyo LeeDepartment of Animal Biotechnology, Chonbuk National University, Jeonju, 66414, Republic of Korea.
Dajeong LimDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, RDA, Jeonju, 55365, Republic of Korea.
Seoae ChoC&K Genomics, Seoul National University Research Park, Seoul, 151-919, Republic of Korea.
Olivier HanotteUniversity of Nottingham, School of Life Sciences, Nottingham, NG7 2RD, UK.
Okeyo Ally MwaiInternational Livestock Research Institute, Box 30709-00100, Nairobi, Kenya.
Tadelle DessieInternational Livestock Research Institute, Addis Ababa, Ethiopia.
Stephen KempInternational Livestock Research Institute, Box 30709-00100, Nairobi, Kenya.
Sung Jong OhNational Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea. ohsj@korea.kr.
Heebal KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. heebal@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndigenous cattle in Africa have adapted to various local environments to acquire superior phenotypes that enhance their survival under harsh conditions. While many studies investigated the adaptation of overall African cattle, genetic characteristics of each breed have been poorly studied.

resultsWe performed the comparative genome-wide analysis to assess evidence for subspeciation within species at the genetic level in trypanotolerant N'Dama cattle. We analysed genetic variation patterns in N'Dama from the genomes of 101 cattle breeds including 48 samples of five indigenous African cattle breeds and 53 samples of various commercial breeds. Analysis of SNP variances between cattle breeds using wMI, XP-CLR, and XP-EHH detected genes containing N'Dama-specific genetic variants and their potential associations. Functional annotation analysis revealed that these genes are associated with ossification, neurological and immune system. Particularly, the genes involved in bone formation indicate that local adaptation of N'Dama may engage in skeletal growth as well as immune systems.

conclusionsOur results imply that N'Dama might have acquired distinct genotypes associated with growth and regulation of regional diseases including trypanosomiasis. Moreover, this study offers significant insights into identifying genetic signatures for natural and artificial selection of diverse African cattle breeds.

Indexed as

GenomicsPolymorphism, Single NucleotideAnimalsCattleCattle DiseasesCodon, NonsenseDisease ResistanceMutation, MissenseSpecies SpecificityTrypanosomaCodon, NonsenseCattle genomeComparative genome-wide analysisGenetic signaturesSNPsTrypanotolerant N’Dama

Identifiers

PMID28499406
PMCPMC5427609

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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.