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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2017
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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. |
format | Online Article Text |
id | pubmed-5738612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
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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