Evidence map›Paper›PMID 26338661›Full record

ArticleBMC genomics2015

Genome-wide insights into population structure and genetic history of Tunisian local cattle using the illumina bovinesnp50 beadchip.

Slim Ben Jemaa, Mekki Boussaha, Mondher Ben Mehdi, Jun Heon Lee, Seung-Hwan Lee

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In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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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

5 authors.

Slim Ben JemaaNational Institute of Agronomic Research of Tunisia, Laboratoire des Productions Animales et Fourragères, Rue Hédi Karray, 2049, Ariana, Tunisia. benjemaaslim@yahoo.fr.
Mekki BoussahaINRA, UMR1313, Unité Génétique Animale et Biologie Intégrative, Domaine de Vilvert, F-78352, Jouy-en-Josas, France. mekki.boussaha@jouy.inra.fr.
Mondher Ben MehdiLivestock and Pasture Office, 1002, Tunis Belvedere, Tunisia. mondherbenmehdi@yahoo.fr.
Jun Heon LeeDepartment of Animal Science and Biotechnology, Chungnam National University, Daejeon, 305-764, South Korea. junheon@cnu.ac.kr.
Seung-Hwan LeeDepartment of Animal Science and Biotechnology, Chungnam National University, Daejeon, 305-764, South Korea. slee46@korea.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTunisian local cattle populations are at risk of extinction as they were massively crossed with imported breeds. Preservation of indigenous livestock populations is important because each of them comprises a unique set of genes resulting from a local environment-driven selection that occurred over hundreds of years. The diversity and genetic structure of Tunisian local cattle populations are poorly understood. However, such information is crucial to the conservation and sustainable use of genetic resources. In addition, comparing the genomic structure of population sets from different parts of the world could help yield insight into their origin and history. In the present study, we provide a detailed assessment of the population structure of the three Tunisian local cattle populations using various methods, and we highlight their origin and history by investigating approximately ~38,000 SNPs in a broad panel of 878 individuals from 37 worldwide cattle breeds representative of African, European and indicine populations.

resultsOur study revealed a low level of divergence and high genetic diversity in Tunisian local cattle reflecting low levels of genetic drift. A Comparison with the worldwide cattle panel pinpointed the admixed origin of the genome of the three Tunisian populations with the two main European and African ancestries. Our results were in agreement with previous historical and archaeological reports about the past gene flow that existed between North African and South European breeds, in particular with Iberian cattle. We also detected a low-level indicine introgression in the three Tunisian populations and we inferred that indicine ancestry was inherited via African ancestors.

conclusionsOur results represent the first study providing genetic evidence about the origin and history of Tunisian local cattle. The information provided by the fine-scale genetic characterization of our study will enhance the establishment of a national conservation strategy for these populations. These results may enable the identification of genetic variants involved in adaptation to harsh environmental conditions.

Indexed as

Genetics, PopulationGenomeOligonucleotide Array Sequence AnalysisAnimalsCattleCluster AnalysisGenetic VariationLikelihood FunctionsModels, GeneticMultivariate AnalysisPhylogenyPolymorphism, Single NucleotidePrincipal Component Analysis

Identifiers

PMID26338661
PMCPMC4560074

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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.