Evidence map›Paper›PMID 39199941›Full record

ReviewAnimals : an open access journal from MDPI2024

African Local Pig Genetic Resources in the Context of Climate Change Adaptation.

Lenox Pius, Shuntao Huang, George Wanjala, Zoltán Bagi, Szilvia Kusza

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Lenox PiusCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Shuntao HuangCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
George WanjalaCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Egyetem tér 1, 4032 Debrecen, Hungary.ORCID 0000-0001-7818-2412
Zoltán BagiCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Egyetem tér 1, 4032 Debrecen, Hungary.ORCID 0000-0002-3832-3556
Szilvia KuszaCentre for Agricultural Genomics and Biotechnology, University of Debrecen, Egyetem tér 1, 4032 Debrecen, Hungary.ORCID 0000-0002-5441-5303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Africa is home to a wide diversity of locally adapted pig breeds whose genetic architecture offers important insights into livestock adaptation to climate change. However, the majority of these inherent traits have not been fully highlighted. This review presents an overview of the current state of African pig genetic resources, providing highlights on their population and production statistics, production system, population diversity indices, and genomic evidence underlying their evolutionary potential. The study results reveal an incomplete characterization of local pig genotypes across the continent. The characterized population, however, demonstrates moderate to high levels of genetic diversity, enough to support breeding and conservation programs. Owing to low genetic differentiation and limited evidence of distinct population structures, it appears that most local pig populations are strains within larger breeds. Genomic evidence has shown a higher number of selection signatures associated with various economically important traits, thus making them potential candidates for climate change adaptation. The reportedly early evidence of hybridization with wild suid groups further suggests untapped insights into disease resistance and resilience traits that need to be illuminated using higher-density markers. Nevertheless, gene introgression from commercial breeds is prevalent across Africa; thus, efforts to realize and utilize these traits must increase before they are permanently depleted.

Indexed as

African local pig genetic resourcediversitymicrosatellite makernatural selectionproduction systemselection signatureSNP genotyping

Identifiers

PMID39199941
PMCPMC11350805

What OpenQuestion holds

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LicenceCC BY
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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.