Evidence map›Paper›PMID 32867670›Full record

ArticleBMC genetics2020

Characterization of bovine MHC DRB3 diversity in global cattle breeds, with a focus on cattle in Myanmar.

Guillermo Giovambattista, Kyaw Kyaw Moe, Meripet Polat, Liushiqi Borjigin, Si Thu Hein, Hla Hla Moe, Shin-Nosuke Takeshima, Yoko Aida

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 24 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

8 authors at 4 institutions in 4 countries.

Guillermo GiovambattistaNakamura Laboratory, Baton Zone Program, RIKEN Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan. guillermogiovambattista@gmail.com.ORCID 0000-0001-8365-3303
Kyaw Kyaw MoeNakamura Laboratory, Baton Zone Program, RIKEN Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
Meripet PolatNakamura Laboratory, Baton Zone Program, RIKEN Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
Liushiqi BorjiginNakamura Laboratory, Baton Zone Program, RIKEN Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
Si Thu HeinDepartment of Anatomy, University of Veterinary Science, Yezin, Nay Pyi Taw, 05282, Myanmar.
Hla Hla MoeDepartment of Genetics and Animal Breeding, University of Veterinary Science, Yezin, Nay Pyi Taw, 05282, Myanmar.
Shin-Nosuke TakeshimaDepartment of Food and Nutrition, Faculty of Human Life, Jumonji University, 2-1-28 Sugasawa, Niiza-shi, Saitama, 352-8510, Japan.
Yoko AidaNakamura Laboratory, Baton Zone Program, RIKEN Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan. aida@riken.jp.
University of Veterinary Science · MMInnovation Cluster (Canada) · CAJumonji University · JPRIKEN Center for Sustainable Resource Science · JP

Funding

Agriculture, Forestry and Fisheries Research Council 16930548Japan Society for the Promotion of Science FY2018NARO Bio-oriented Technology Research Advancement Institution 16817983
6 · The paper itself

Abstract

backgroundMyanmar cattle populations predominantly consist of native cattle breeds (Pyer Sein and Shwe), characterized by their geographical location and coat color, and the Holstein-Friesian crossbreed, which is highly adapted to the harsh tropical climates of this region. Here, we analyzed the diversity and genetic structure of the BoLA-DRB3 gene, a genetic locus that has been linked to the immune response, in Myanmar cattle populations.

methodsBlood samples (n = 294) were taken from two native breeds (Pyer Sein, n = 163 and Shwe Ni, n = 69) and a cattle crossbreed (Holstein-Friesian, n = 62) distributed across six regions of Myanmar (Bago, n = 38; Sagaing, n = 77; Mandalay, n = 46; Magway, n = 46; Kayin, n = 43; Yangon, n = 44). In addition, a database that included 2428 BoLA-DRB3 genotypes from European (Angus, Hereford, Holstein, Shorthorn, Overo Negro, Overo Colorado, and Jersey), Zebuine (Nellore, Brahman and Gir), Asian Native from Japan and Philippine and Latin-American Creole breeds was also included. Furthermore, the information from the IPD-MHC database was also used in the present analysis. DNA was genotyped using the sequence-based typing method. DNA electropherograms were analyzed using the Assign 400ATF software.

resultsWe detected 71 distinct alleles, including three new variants for the BoLA-DRB3 gene. Venn analysis showed that 11 of these alleles were only detected in Myanmar native breeds and 26 were only shared with Asian native and/or Zebu groups. The number of alleles ranged from 33 in Holstein-Friesians to 58 in Pyer Seins, and the observed versus unbiased expected heterozygosity were higher than 0.84 in all the three the populations analyzed. The F

conclusionThis study is the first to report the genetic diversity of the BoLA-DRB3 gene in two native breeds and one exotic cattle crossbreed from Myanmar. The results obtained contribute to our understanding of the genetic diversity and distribution of BoLA-DRB3 gene alleles in Myanmar, and increases our knowledge of the worldwide variability of cattle BoLA-DRB3 genes, an important locus for immune response and protection against pathogens.

Indexed as

AllelesGenetic VariationAnimalsBase SequenceBreedingCattleGenetics, PopulationGenotypeHistocompatibility Antigens Class IIMyanmarBoLA-DRB3 antigenHistocompatibility Antigens Class IIBoLA-DRB3Breed diversityBreed/population identificationGenotypingImmunogenomicsMyanmar cattle

Identifiers

PMID32867670
PMCPMC7460757
OpenAlexW3082923509

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.