Evidence map›Paper›PMID 28183280›Full record

ArticleBMC genetics2017

Whole genome scan reveals the genetic signature of African Ankole cattle breed and potential for higher quality beef.

Mengistie Taye, Jaemin Kim, Sook Hee Yoon, Wonseok Lee, Olivier Hanotte, Tadelle Dessie, Stephen Kemp, Okeyo Ally Mwai, Kelsey Caetano-Anolles, Seoae Cho and 3 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 100 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

13 authors at 8 institutions in 5 countries.

Mengistie TayeDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea.
Jaemin KimNational Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA.
Sook Hee YoonDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea.
Wonseok LeeDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea.
Olivier HanotteThe University of Nottingham, School of Life Sciences, Nottingham, NG7 2RD, UK.
Tadelle DessieInternational Livestock Research Institute (ILRI), PO Box 5689, Addis Ababa, Ethiopia.
Stephen KempInternational Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya.
Okeyo Ally MwaiInternational Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya.
Kelsey Caetano-AnollesDepartment of Animal Sciences, University of Illinois, Urbana, IL, 61801, USA.
Seoae ChoC&K genomics, Main Bldg. #514, SNU Research Park, Seoul, 151-919, Republic of Korea.
Sung Jong OhNational Institute of Animal Science, RDA, Wanju, Republic of Korea.
Hak-Kyo LeeThe Animal Molecular Genetics & Breeding Center, Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Korea.
Heebal KimDepartment of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea. heebal@snu.ac.kr.
Seoul National University · KRCrystalGenomics (South Korea) · KRInternational Livestock Research Institute · KEJeonbuk National University · KRNational Human Genome Research Institute · USNational Institute of Animal Science · KRUniversity of Illinois Urbana-Champaign · USUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfrica is home to numerous cattle breeds whose diversity has been shaped by subtle combinations of human and natural selection. African Sanga cattle are an intermediate type of cattle resulting from interbreeding between Bos taurus and Bos indicus subspecies. Recently, research has asserted the potential of Sanga breeds for commercial beef production with better meat quality as compared to Bos indicus breeds. Here, we identified meat quality related gene regions that are positively selected in Ankole (Sanga) cattle breeds as compared to indicus (Boran, Ogaden, and Kenana) breeds using cross-population (XP-EHH and XP-CLR) statistical methods.

resultsWe identified 238 (XP-EHH) and 213 (XP-CLR) positively selected genes, of which 97 were detected from both statistics. Among the genes obtained, we primarily reported those involved in different biological process and pathways associated with meat quality traits. Genes (CAPZB, COL9A2, PDGFRA, MAP3K5, ZNF410, and PKM2) involved in muscle structure and metabolism affect meat tenderness. Genes (PLA2G2A, PARK2, ZNF410, MAP2K3, PLCD3, PLCD1, and ROCK1) related to intramuscular fat (IMF) are involved in adipose metabolism and adipogenesis. MB and SLC48A1 affect meat color. In addition, we identified genes (TIMP2, PKM2, PRKG1, MAP3K5, and ATP8A1) related to feeding efficiency. Among the enriched Gene Ontology Biological Process (GO BP) terms, actin cytoskeleton organization, actin filament-based process, and protein ubiquitination are associated with meat tenderness whereas cellular component organization, negative regulation of actin filament depolymerization and negative regulation of protein complex disassembly are involved in adipocyte regulation. The MAPK pathway is responsible for cell proliferation and plays an important role in hyperplastic growth, which has a positive effect on meat tenderness.

conclusionResults revealed several candidate genes positively selected in Ankole cattle in relation to meat quality characteristics. The genes identified are involved in muscle structure and metabolism, and adipose metabolism and adipogenesis. These genes help in the understanding of the biological mechanisms controlling beef quality characteristics in African Ankole cattle. These results provide a basis for further research on the genomic characteristics of Ankole and other Sanga cattle breeds for quality beef.

Indexed as

BreedingFood QualityGenomicsRed MeatAnimalsCattlePhylogenyPigmentationAfrican cattleAnkole cattleMeat qualitySanga cattleXP-CLRXP-EHH

Identifiers

PMID28183280
PMCPMC5301378
OpenAlexW2587374459

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.