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Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis

China is the largest royal jelly producer and exporter in the world, and high royal jelly-yielding strains have been bred in the country for approximately three decades. However, information on the molecular mechanism underlying high royal jelly production is scarce. Here, a cDNA microarray was used...

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Autores principales: Nie, Hongyi, Liu, Xiaoyan, Pan, Jiao, Li, Wenfeng, Li, Zhiguo, Zhang, Shaowu, Chen, Shenglu, Miao, Xiaoqing, Zheng, Nenggan, Su, Songkun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738612/
https://www.ncbi.nlm.nih.gov/pubmed/28981563
http://dx.doi.org/10.1590/1678-4685-GMB-2017-0013
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author Nie, Hongyi
Liu, Xiaoyan
Pan, Jiao
Li, Wenfeng
Li, Zhiguo
Zhang, Shaowu
Chen, Shenglu
Miao, Xiaoqing
Zheng, Nenggan
Su, Songkun
author_facet Nie, Hongyi
Liu, Xiaoyan
Pan, Jiao
Li, Wenfeng
Li, Zhiguo
Zhang, Shaowu
Chen, Shenglu
Miao, Xiaoqing
Zheng, Nenggan
Su, Songkun
author_sort Nie, Hongyi
collection PubMed
description China is the largest royal jelly producer and exporter in the world, and high royal jelly-yielding strains have been bred in the country for approximately three decades. However, information on the molecular mechanism underlying high royal jelly production is scarce. Here, a cDNA microarray was used to screen and identify differentially expressed genes (DEGs) to obtain an overview on the changes in gene expression levels between high and low royal jelly producing bees. We developed a honey bee gene chip that covered 11,689 genes, and this chip was hybridised with cDNA generated from RNA isolated from heads of nursing bees. A total of 369 DEGs were identified between high and low royal jelly producing bees. Amongst these DEGs, 201 (54.47%) genes were up-regulated, whereas 168 (45.53%) were down-regulated in high royal jelly-yielding bees. Gene ontology (GO) analyses showed that they are mainly involved in four key biological processes, and pathway analyses revealed that they belong to a total of 46 biological pathways. These results provide a genetic basis for further studies on the molecular mechanisms involved in high royal jelly production.
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spelling pubmed-57386122017-12-29 Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis Nie, Hongyi Liu, Xiaoyan Pan, Jiao Li, Wenfeng Li, Zhiguo Zhang, Shaowu Chen, Shenglu Miao, Xiaoqing Zheng, Nenggan Su, Songkun Genet Mol Biol Animal Genetics China is the largest royal jelly producer and exporter in the world, and high royal jelly-yielding strains have been bred in the country for approximately three decades. However, information on the molecular mechanism underlying high royal jelly production is scarce. Here, a cDNA microarray was used to screen and identify differentially expressed genes (DEGs) to obtain an overview on the changes in gene expression levels between high and low royal jelly producing bees. We developed a honey bee gene chip that covered 11,689 genes, and this chip was hybridised with cDNA generated from RNA isolated from heads of nursing bees. A total of 369 DEGs were identified between high and low royal jelly producing bees. Amongst these DEGs, 201 (54.47%) genes were up-regulated, whereas 168 (45.53%) were down-regulated in high royal jelly-yielding bees. Gene ontology (GO) analyses showed that they are mainly involved in four key biological processes, and pathway analyses revealed that they belong to a total of 46 biological pathways. These results provide a genetic basis for further studies on the molecular mechanisms involved in high royal jelly production. Sociedade Brasileira de Genética 2017-10-02 2017 /pmc/articles/PMC5738612/ /pubmed/28981563 http://dx.doi.org/10.1590/1678-4685-GMB-2017-0013 Text en Copyright © 2017, Sociedade Brasileira de Genética. https://creativecommons.org/licenses/by/4.0/ License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited.
spellingShingle Animal Genetics
Nie, Hongyi
Liu, Xiaoyan
Pan, Jiao
Li, Wenfeng
Li, Zhiguo
Zhang, Shaowu
Chen, Shenglu
Miao, Xiaoqing
Zheng, Nenggan
Su, Songkun
Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis
title Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis
title_full Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis
title_fullStr Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis
title_full_unstemmed Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis
title_short Identification of genes related to high royal jelly production in the honey bee (Apis mellifera) using microarray analysis
title_sort identification of genes related to high royal jelly production in the honey bee (apis mellifera) using microarray analysis
topic Animal Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738612/
https://www.ncbi.nlm.nih.gov/pubmed/28981563
http://dx.doi.org/10.1590/1678-4685-GMB-2017-0013
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