Evidence map›Paper›PMID 34646296›Full record

ArticleFrontiers in genetics2021

Local Ancestry to Identify Selection in Response to Trypanosome Infection in Baoulé x Zebu Crossbred Cattle in Burkina Faso.

Bernadette Yougbaré, Dominique Ouédraogo, Arnaud S R Tapsoba, Albert Soudré, Bienvenue L Zoma, Pablo Orozco-terWengel, Sanou Moumouni, Salifou Ouédraogo-Koné, Maria Wurzinger, Hamidou H Tamboura and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 31 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

16 authors at 7 institutions in 5 countries.

Bernadette YougbaréDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Dominique OuédraogoDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Arnaud S R TapsobaInstitut du Développement Rural, Université Nazi Boni, Bobo-Dioulasso, Burkina Faso.
Albert SoudréUnité de Formation et de Recherche en Sciences et Technologies, Université Norbert Zongo, Koudougou, Burkina Faso.
Bienvenue L ZomaDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Pablo Orozco-terWengelSchool of Biosciences, Cardiff University, Cardiff, United Kingdom.
Sanou MoumouniInstitut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso.
Salifou Ouédraogo-KonéInstitut du Développement Rural, Université Nazi Boni, Bobo-Dioulasso, Burkina Faso.
Maria WurzingerDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Hamidou H TambouraInstitut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso.
Amadou TraoréInstitut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso.
Okeyo Ally MwaiInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Johann SölknerDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Negar KhayatzadehDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Gábor MészárosDepartment of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria.
Pamela A BurgerResearch Institute of Wildlife Ecology, Vetmeduni Vienna, Savoyenstraße 1, Vienna, Austria.
BOKU University · ATInstitut de l'Environnement et Recherches Agricoles · BFNazi Boni University · BFCardiff University · GBInternational Livestock Research Institute · KESuisag (Switzerland) · CHUniversity of Koudougou · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomes of crossbred (admixed) individuals are a mosaic of ancestral haplotypes formed by recombination in each generation. The proportion of these ancestral haplotypes in certain genomic regions can be responsible for either susceptibility or tolerance against pathogens, and for performances in production traits. Using a medium-density genomic marker panel from the Illumina Bovine SNP50 BeadChip, we estimated individual admixture proportions for Baoulé x Zebu crossbred cattle in Burkina Faso, which were tested for trypanosome infection by direct ELISA from blood samples. Furthermore, we calculated local ancestry deviation from average for each SNP across 29 autosomes to identify potential regions under selection in the trypanotolerant Baoulé cattle and their crossbreds. We identified significant deviation from the local average ancestry (above 5 and 10% genome-wide thresholds) on chromosomes 8 and 19 in the positive animals, while the negative ones showed higher deviation on chromosomes 6, 19, 21, and 22. Some candidate genes on chromosome 6 (

Indexed as

admixtureBurkina FasocattleFstlocal ancestry deviationselection signatureSNP

Identifiers

PMID34646296
PMCPMC8504455
OpenAlexW3202956021

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.