Skip to main content

Evolutionary subdivision of domestic chickens: implications for local breeds as assessed by phenotype and genotype in comparison to commercial and fancy breeds

Larkina, Tatiana A., Barkova, Olga Y., Peglivanyan, Grigoriy K., Mitrofanova, Olga V., Dementieva, Natalia V., Stanishevskaya, Olga I., Vakhrameev, Anatoly B., Makarova, Alexandra V., Shcherbakov, Yuri S., Pozovnikova, Marina V., and others. (2021) Evolutionary subdivision of domestic chickens: implications for local breeds as assessed by phenotype and genotype in comparison to commercial and fancy breeds. Agriculture, 11 (10). Article Number 914. E-ISSN 2077-0472. (doi:10.3390/agriculture11100914) (KAR id:90337)

PDF Publisher pdf
Language: English
Download (2MB) Preview
[thumbnail of agriculture-11-00914-v2.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL
https://doi.org/10.3390/agriculture11100914

Abstract

To adjust breeding programs for local, commercial, and fancy breeds, and to implement molecular (marker-assisted) breeding, a proper comprehension of phenotypic and genotypic variation is a sine qua non for breeding progress in animal production. Here, we investigated an evolutionary subdivision of domestic chickens based on their phenotypic and genotypic variability using a wide sample of 49 different breeds/populations. These represent a significant proportion of the global chicken gene pool and all major purposes of breed use (according to their traditional classification model), with many of them being characterized by a synthetic genetic structure and notable admixture. We assessed their phenotypic variability in terms of body weight, body measurements, and egg production. From this, we proposed a phenotypic clustering model (PCM) including six evolutionary lineages of breed formation: egg-type, meat-type, dual purpose (egg-meat and meat-egg), game, fancy, and Bantam. Estimation of genotypic variability was carried out using the analysis of five SNPs, i.e., at the level of genomic variation at the NCAPG-LCORL locus. Based on these data, two generally similar genotypic clustering models (GCM1 and GCM2) were inferred that also had several overlaps with PCM. Further research for SNPs associated with economically important traits can be instrumental in marker-assisted breeding programs.

Item Type: Article
DOI/Identification number: 10.3390/agriculture11100914
Uncontrolled keywords: chicken breeds; evolutionary lineages; phenotypic traits; NCAPG-LCORL; synthetic genetic structure; admixture
Subjects: Q Science > QH Natural history
Q Science > QH Natural history > QH324.2 Computational biology
Q Science > QH Natural history > QH426 Genetics
Q Science > QH Natural history > QH75 Conservation (Biology)
S Agriculture > SF Animal culture
Divisions: Divisions > Division of Natural Sciences > Biosciences
Signature Themes: Food Systems, Natural Resources and Environment
Depositing User: Mike Romanov
Date Deposited: 24 Sep 2021 14:01 UTC
Last Modified: 30 Oct 2021 16:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/90337 (The current URI for this page, for reference purposes)
Larkina, Tatiana A.: https://orcid.org/0000-0002-7764-1338
Barkova, Olga Y.: https://orcid.org/0000-0002-0963-905Х
Peglivanyan, Grigoriy K.: https://orcid.org/0000-0001-5194-4851
Mitrofanova, Olga V.: https://orcid.org/0000-0003-4702-2736
Dementieva, Natalia V.: https://orcid.org/0000-0003-0210-9344
Stanishevskaya, Olga I.: https://orcid.org/0000-0001-9504-3916
Vakhrameev, Anatoly B.: https://orcid.org/0000-0001-5166-979X
Makarova, Alexandra V.: https://orcid.org/0000-0002-3281-4581
Shcherbakov, Yuri S.: https://orcid.org/0000-0001-6434-6287
Pozovnikova, Marina V.: https://orcid.org/0000-0002-8658-2026
Brazhnik, Evgeni A.: https://orcid.org/0000-0003-2178-9330
Griffin, Darren K.: https://orcid.org/0000-0001-7595-3226
Romanov, Michael N.: https://orcid.org/0000-0003-3584-4644
  • Depositors only (login required):