Evidence map›Paper›PMID 38348366›Full record

ArticleGenetics research2024

Mitochondrial DNA D-Loop Polymorphisms among the Galla Goats Reveals Multiple Maternal Origins with Implication on the Functional Diversity of the HSP70 Gene.

Ednah M Masila, Stephen O Ogada, Irene N Ogali, Grace M Kennedy, Eric K Too, Cecily S Ommeh

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Article in Genetics research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ednah M MasilaInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Juja, Kenya.ORCID 0009-0003-1509-5444
Stephen O OgadaInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Juja, Kenya.
Irene N OgaliVeterinary Science Research Institute (VSRI), Kenya Agricultural Livestock and Research Organization (KALRO), P.O. Box 32-00902, Nairobi, Kenya.ORCID 0000-0002-5942-0726
Grace M KennedyInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Juja, Kenya.
Eric K TooVeterinary Science Research Institute (VSRI), Kenya Agricultural Livestock and Research Organization (KALRO), P.O. Box 32-00902, Nairobi, Kenya.
Cecily S OmmehInstitute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Juja, Kenya.ORCID 0000-0002-0780-0399
Jomo Kenyatta University of Agriculture and Technology · KEKenya Agricultural and Livestock Research Organization · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite much attention given to the history of goat evolution in Kenya, information on the origin, demographic history, dispersal route, and genetic diversity of Galla goats remains unclear. Here, we examined the genetic background, diversity, demographic history, and population genetic variation of Galla goats using mtDNA D-loop and HSP70 single-nucleotide polymorphism markers. The results revealed 90 segregating sites and 68 haplotypes in a 600-bp mtDNA D-loop sequence. The overall mean mitochondrial haplotype diversity was 0.993. The haplotype diversities ranged between 0.8939 ± 0.0777 and 1.0000 ± 0.0221 in all populations supporting high genetic diversity. Mitochondrial phylogenetic analysis revealed three Galla goat haplogroups (A, G, and D), supporting multiple maternal ancestries, of which haplogroup A was the most predominant. Analysis of molecular variance (AMOVA) showed considerable variation within populations at 94.39%, evidence of high genetic diversity. Bimodal mismatch distribution patterns were observed while most populations recorded negative results for Tajima and Fu's Fs neutrality tests supporting population expansion. Genetic variation among populations was also confirmed using HSP70 gene fragment sequences, where six polymorphic sites which defined 21 haplotypes were discovered. Analysis of molecular variance revealed a significant FST index value of 0.134 and a high FIS index value of 0.746, an indication of inbreeding. This information will pave the way for conservation strategies and informed breeding to improve Galla or other goat breeds for climate-smart agriculture.

Indexed as

DNA, MitochondrialGoatsAnimalsGenetic VariationHaplotypesHSP70 Heat-Shock ProteinsPhylogenyPolymorphism, Single NucleotideDNA, MitochondrialHSP70 Heat-Shock Proteins

Identifiers

PMID38348366
PMCPMC10861283
OpenAlexW4391544317

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