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Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis

AIM: This study aimed to identify the effect of the insulin-like growth factor 1 (IGF1) gene on growth, to uncover the genetic marker at the IGF1 gene, and to predict growth performance by analyzing growth models of Kejobong goats based on their genotype. MATERIALS AND METHODS: DNA and records of bo...

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Autores principales: Lestari, Dela Ayu, Oikawa, Takuro, Sutopo, Sutopo, Purbowati, Endang, Setiaji, Asep, Kurnianto, Edy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Veterinary World 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020124/
https://www.ncbi.nlm.nih.gov/pubmed/32158162
http://dx.doi.org/10.14202/vetworld.2020.127-133
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author Lestari, Dela Ayu
Oikawa, Takuro
Sutopo, Sutopo
Purbowati, Endang
Setiaji, Asep
Kurnianto, Edy
author_facet Lestari, Dela Ayu
Oikawa, Takuro
Sutopo, Sutopo
Purbowati, Endang
Setiaji, Asep
Kurnianto, Edy
author_sort Lestari, Dela Ayu
collection PubMed
description AIM: This study aimed to identify the effect of the insulin-like growth factor 1 (IGF1) gene on growth, to uncover the genetic marker at the IGF1 gene, and to predict growth performance by analyzing growth models of Kejobong goats based on their genotype. MATERIALS AND METHODS: DNA and records of body weight (BW) and body measurements (BM) of Kejobong goats were collected, the IGF1 gene was amplified from the DNA template by polymerase chain reaction (PCR); the PCR products were then sequenced to determine single nucleotide polymorphisms (SNP). Linear mixed model (LMM) was used to analyze the association between SNP and growth traits. Four non-linear growth models were analyzed using non-LMM to describe the growth model and to compare the growth within genotypes. RESULTS: An SNP at intron 4 (g5752G→C) genotyped into GG and CC was significantly associated with BW and BM. Goats of genotype GG had a significantly higher BW and BM (p<0.05) than those of genotype CC. Growth analysis showed that the von Bertalanffy model was the most fit for describing BW, the Brody model for chest width and hip height, the Gompertz and Logistic models for heart girth, and the von Bertalanffy and Gompertz models for hip width. CONCLUSION: An SNP at intron 4 of the IGF1 gene was associated with the growth trait and was usable as a genetic marker candidate for improvement of growth traits of Kejobong goats while von Bertalanffy model provides proper and accurate estimates of parameters to describe the growth performance of Kejobong goats.
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spelling pubmed-70201242020-03-10 Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis Lestari, Dela Ayu Oikawa, Takuro Sutopo, Sutopo Purbowati, Endang Setiaji, Asep Kurnianto, Edy Vet World Research Article AIM: This study aimed to identify the effect of the insulin-like growth factor 1 (IGF1) gene on growth, to uncover the genetic marker at the IGF1 gene, and to predict growth performance by analyzing growth models of Kejobong goats based on their genotype. MATERIALS AND METHODS: DNA and records of body weight (BW) and body measurements (BM) of Kejobong goats were collected, the IGF1 gene was amplified from the DNA template by polymerase chain reaction (PCR); the PCR products were then sequenced to determine single nucleotide polymorphisms (SNP). Linear mixed model (LMM) was used to analyze the association between SNP and growth traits. Four non-linear growth models were analyzed using non-LMM to describe the growth model and to compare the growth within genotypes. RESULTS: An SNP at intron 4 (g5752G→C) genotyped into GG and CC was significantly associated with BW and BM. Goats of genotype GG had a significantly higher BW and BM (p<0.05) than those of genotype CC. Growth analysis showed that the von Bertalanffy model was the most fit for describing BW, the Brody model for chest width and hip height, the Gompertz and Logistic models for heart girth, and the von Bertalanffy and Gompertz models for hip width. CONCLUSION: An SNP at intron 4 of the IGF1 gene was associated with the growth trait and was usable as a genetic marker candidate for improvement of growth traits of Kejobong goats while von Bertalanffy model provides proper and accurate estimates of parameters to describe the growth performance of Kejobong goats. Veterinary World 2020-01 2020-01-18 /pmc/articles/PMC7020124/ /pubmed/32158162 http://dx.doi.org/10.14202/vetworld.2020.127-133 Text en Copyright: © Lestari, et al. http://creativecommons.org/licenses/by/4.0 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lestari, Dela Ayu
Oikawa, Takuro
Sutopo, Sutopo
Purbowati, Endang
Setiaji, Asep
Kurnianto, Edy
Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis
title Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis
title_full Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis
title_fullStr Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis
title_full_unstemmed Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis
title_short Effect of insulin-like growth factor 1 gene on growth traits of Kejobong goat and its growth analysis
title_sort effect of insulin-like growth factor 1 gene on growth traits of kejobong goat and its growth analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020124/
https://www.ncbi.nlm.nih.gov/pubmed/32158162
http://dx.doi.org/10.14202/vetworld.2020.127-133
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