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Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits

Goat plays a crucial role in human livelihoods, being a major source of meat, milk, fiber, and hides, particularly under adverse climatic conditions. The goat genomics related to the candidate gene approach is now being used to recognize molecular mechanisms that have different expressions of growth...

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Autores principales: Zonaed Siddiki, A. M. A. M., Miah, Gous, Islam, Md. Sirazul, Kumkum, Mahadia, Rumi, Meheadi Hasan, Baten, Abdul, Hossain, Mohammad Alamgir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456479/
https://www.ncbi.nlm.nih.gov/pubmed/32904540
http://dx.doi.org/10.1155/2020/5940205
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author Zonaed Siddiki, A. M. A. M.
Miah, Gous
Islam, Md. Sirazul
Kumkum, Mahadia
Rumi, Meheadi Hasan
Baten, Abdul
Hossain, Mohammad Alamgir
author_facet Zonaed Siddiki, A. M. A. M.
Miah, Gous
Islam, Md. Sirazul
Kumkum, Mahadia
Rumi, Meheadi Hasan
Baten, Abdul
Hossain, Mohammad Alamgir
author_sort Zonaed Siddiki, A. M. A. M.
collection PubMed
description Goat plays a crucial role in human livelihoods, being a major source of meat, milk, fiber, and hides, particularly under adverse climatic conditions. The goat genomics related to the candidate gene approach is now being used to recognize molecular mechanisms that have different expressions of growth, reproductive, milk, wool, and disease resistance. The appropriate literature on this topic has been reviewed in this article. Several genetic characterization attempts of different goats have reported the existence of genotypic and morphological variations between different goat populations. As a result, different whole-genome sequences along with annotated gene sequences, gene function, and other genomic information of different goats are available in different databases. The main objective of this review is to search the genes associated with economic traits in goats. More than 271 candidate genes have been discovered in goats. Candidate genes influence the physiological pathway, metabolism, and expression of phenotypes. These genes have different functions on economically important traits. Some genes have pleiotropic effect for expression of phenotypic traits. Hence, recognizing candidate genes and their mutations that cause variations in gene expression and phenotype of an economic trait can help breeders look for genetic markers for specific economic traits. The availability of reference whole-genome assembly of goats, annotated genes, and transcriptomics makes comparative genomics a useful tool for systemic genetic upgradation. Identification and characterization of trait-associated sequence variations and gene will provide powerful means to give positive influences for future goat breeding program.
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spelling pubmed-74564792020-09-03 Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits Zonaed Siddiki, A. M. A. M. Miah, Gous Islam, Md. Sirazul Kumkum, Mahadia Rumi, Meheadi Hasan Baten, Abdul Hossain, Mohammad Alamgir Int J Genomics Review Article Goat plays a crucial role in human livelihoods, being a major source of meat, milk, fiber, and hides, particularly under adverse climatic conditions. The goat genomics related to the candidate gene approach is now being used to recognize molecular mechanisms that have different expressions of growth, reproductive, milk, wool, and disease resistance. The appropriate literature on this topic has been reviewed in this article. Several genetic characterization attempts of different goats have reported the existence of genotypic and morphological variations between different goat populations. As a result, different whole-genome sequences along with annotated gene sequences, gene function, and other genomic information of different goats are available in different databases. The main objective of this review is to search the genes associated with economic traits in goats. More than 271 candidate genes have been discovered in goats. Candidate genes influence the physiological pathway, metabolism, and expression of phenotypes. These genes have different functions on economically important traits. Some genes have pleiotropic effect for expression of phenotypic traits. Hence, recognizing candidate genes and their mutations that cause variations in gene expression and phenotype of an economic trait can help breeders look for genetic markers for specific economic traits. The availability of reference whole-genome assembly of goats, annotated genes, and transcriptomics makes comparative genomics a useful tool for systemic genetic upgradation. Identification and characterization of trait-associated sequence variations and gene will provide powerful means to give positive influences for future goat breeding program. Hindawi 2020-08-18 /pmc/articles/PMC7456479/ /pubmed/32904540 http://dx.doi.org/10.1155/2020/5940205 Text en Copyright © 2020 A. M. A. M. Zonaed Siddiki et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Zonaed Siddiki, A. M. A. M.
Miah, Gous
Islam, Md. Sirazul
Kumkum, Mahadia
Rumi, Meheadi Hasan
Baten, Abdul
Hossain, Mohammad Alamgir
Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits
title Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits
title_full Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits
title_fullStr Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits
title_full_unstemmed Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits
title_short Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits
title_sort goat genomic resources: the search for genes associated with its economic traits
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456479/
https://www.ncbi.nlm.nih.gov/pubmed/32904540
http://dx.doi.org/10.1155/2020/5940205
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