Evidence map›Paper›PMID 31199810›Full record

ArticlePloS one2019

Novel and known signals of selection for fat deposition in domestic sheep breeds from Africa and Eurasia.

Salvatore Mastrangelo, Hussain Bahbahani, Bianca Moioli, Abulgasim Ahbara, Mohammed Al Abri, Faisal Almathen, Anne da Silva, Ibrahim Belabdi, Baldassare Portolano, Joram M Mwacharo and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 60 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 10 institutions in 8 countries.

Salvatore MastrangeloDipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy.ORCID 0000-0001-6511-1981
Hussain BahbahaniDepartment of Biological Sciences, Faculty of Science, Kuwait University, Safat, Kuwait.
Bianca MoioliConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Monterotondo, Italy.
Abulgasim AhbaraSchool of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom.
Mohammed Al AbriDepartment of Animal and Veterinary Sciences, Sultan Qaboos University, Oman.ORCID 0000-0003-1708-3845
Faisal AlmathenDepartment of Public Health and Animal Welfare, College of Veterinary Medicine, King Faisal University, Alhufuf, Al-Ahsa, Saudi Arabia.
Anne da SilvaUniversité de Limoges, INRA, PEREINE EA7500, USC1061 GAMAA, Limoges, France.
Ibrahim BelabdiScience Veterinary Institute, University of Blida, Blida, Algeria.
Baldassare PortolanoDipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy.
Joram M MwacharoSmall Ruminant Genomics, International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia.
Olivier HanotteSchool of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom.
Fabio PillaDipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, Campobasso, Italy.
Elena CianiDipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo Moro, Bari, Italy.ORCID 0000-0001-5673-0975
University of Nottingham · GBUniversity of Palermo · ITConsiglio per la ricerca in agricoltura e l’analisi dell’economia agraria · ITKing Faisal University · SAKuwait University · KWSultan Qaboos University · OMUniversité de Limoges · FRUniversity of Bari Aldo Moro · ITUniversity of Blida · DZUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic regions subjected to selection frequently show signatures such as within-population reduced nucleotide diversity and outlier values of differentiation among differentially selected populations. In this study, we analyzed 50K SNP genotype data of 373 animals belonging to 23 sheep breeds of different geographic origins using the Rsb (extended haplotype homozygosity) and FST statistical approaches, to identify loci associated with the fat-tail phenotype. We also checked if these putative selection signatures overlapped with regions of high-homozygosity (ROH). The analyses identified novel signals and confirmed the presence of selection signature in genomic regions that harbor candidate genes known to affect fat deposition. Several genomic regions that frequently appeared in ROH were also identified within each breed, but only two ROH islands overlapped with the putative selection signatures. The results reported herein provide the most complete genome-wide study of selection signatures for fat-tail in African and Eurasian sheep breeds; they also contribute insights into the genetic basis for the fat tail phenotype in sheep, and confirm the great complexity of the mechanisms that underlie quantitative traits, such as the fat-tail.

Indexed as

Body Fat DistributionBreedingSelection, GeneticAfricaAnimalsAsiaGenome-Wide Association StudyGenotypeHomozygotePhenotypePolymorphism, Single NucleotideSheep

Identifiers

PMID31199810
PMCPMC6568386
OpenAlexW2950736518

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.