The integrative analysis of microRNA and mRNA expression in Apis mellifera following maze-based visual pattern learning
The honeybee (Apis mellifera) is a social insect with strong sensory capacity and diverse behavioral repertoire and is recognized as a good model organism for studying the neurobiological basis of learning and memory. In this study, we analyzed the changes in microRNA (miRNA) and messenger RNA (mRNA...
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description | The honeybee (Apis mellifera) is a social insect with strong sensory capacity and diverse behavioral repertoire and is recognized as a good model organism for studying the neurobiological basis of learning and memory. In this study, we analyzed the changes in microRNA (miRNA) and messenger RNA (mRNA) following maze‐based visual learning using next‐generation small RNA sequencing and Solexa/lllumina Digital Gene Expression tag profiling (DGE). For small RNA sequencing, we obtained 13 367 770 and 13 132 655 clean tags from the maze and control groups, respectively. A total of 40 differentially expressed known miRNAs were detected between these two samples, and all of them were up‐regulated in the maze group compared to the control group. For DGE, 5 681 320 and 5 939 855 clean tags were detected from the maze and control groups, respectively. There were a total of 388 differentially expressed genes between these two samples, with 45 genes up‐regulated and 343 genes down‐regulated in the maze group, compared to the control group. Additionally, the expression levels of 10 differentially expressed genes were confirmed by quantitative reverse transcription polymerase chain reaction (qRT‐PCR) and the expression trends of eight of them were consistent with the DGE result, although the degree of change was lower in amplitude. The integrative analysis of miRNA and mRNA expression showed that, among the 40 differentially expressed known miRNAs and 388 differentially expressed genes, 60 pairs of miRNA/mRNA were identified as co‐expressed in our present study. These results suggest that both miRNA and mRNA may play a pivotal role in the process of learning and memory in honeybees. Our sequencing data provide comprehensive miRNA and gene expression information for maze‐based visual learning, which will facilitate understanding of the molecular mechanisms of honeybee learning and memory. |
doi_str_mv | 10.1111/1744-7917.12065 |
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In this study, we analyzed the changes in microRNA (miRNA) and messenger RNA (mRNA) following maze‐based visual learning using next‐generation small RNA sequencing and Solexa/lllumina Digital Gene Expression tag profiling (DGE). For small RNA sequencing, we obtained 13 367 770 and 13 132 655 clean tags from the maze and control groups, respectively. A total of 40 differentially expressed known miRNAs were detected between these two samples, and all of them were up‐regulated in the maze group compared to the control group. For DGE, 5 681 320 and 5 939 855 clean tags were detected from the maze and control groups, respectively. There were a total of 388 differentially expressed genes between these two samples, with 45 genes up‐regulated and 343 genes down‐regulated in the maze group, compared to the control group. Additionally, the expression levels of 10 differentially expressed genes were confirmed by quantitative reverse transcription polymerase chain reaction (qRT‐PCR) and the expression trends of eight of them were consistent with the DGE result, although the degree of change was lower in amplitude. The integrative analysis of miRNA and mRNA expression showed that, among the 40 differentially expressed known miRNAs and 388 differentially expressed genes, 60 pairs of miRNA/mRNA were identified as co‐expressed in our present study. These results suggest that both miRNA and mRNA may play a pivotal role in the process of learning and memory in honeybees. Our sequencing data provide comprehensive miRNA and gene expression information for maze‐based visual learning, which will facilitate understanding of the molecular mechanisms of honeybee learning and memory.</description><identifier>ISSN: 1672-9609</identifier><identifier>EISSN: 1744-7917</identifier><identifier>DOI: 10.1111/1744-7917.12065</identifier><identifier>PMID: 24136738</identifier><language>eng</language><publisher>Australia: Blackwell Pub</publisher><subject>Animals ; Apis mellifera ; Bees - genetics ; Bees - physiology ; DGE ; differential expression ; gene expression ; Gene Expression Profiling ; Gene Expression Regulation ; genes ; honey bees ; Insect Proteins - genetics ; Insect Proteins - metabolism ; learning and memory ; Maze Learning ; memory ; messenger RNA ; microRNA ; MicroRNAs - genetics ; MicroRNAs - metabolism ; miRNA ; Molecular Sequence Data ; mRNA表达 ; reverse transcriptase polymerase chain reaction ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Sequence Analysis, RNA ; social insects ; Visual Perception ; Y-maze ; 可视化 ; 学习模式 ; 微RNA ; 蜜蜂 ; 迷宫 ; 逆转录聚合酶链反应</subject><ispartof>Insect science, 2014-10, Vol.21 (5), p.619-636</ispartof><rights>2013 Institute of Zoology, Chinese Academy of Sciences</rights><rights>2013 Institute of Zoology, Chinese Academy of Sciences.</rights><rights>Copyright © 2014 Institute of Zoology, Chinese Academy of Sciences</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5635-af483c25d1bcb758404049a3cd15cb46d33457a29568eb64e1947dd2db738ed83</citedby><cites>FETCH-LOGICAL-c5635-af483c25d1bcb758404049a3cd15cb46d33457a29568eb64e1947dd2db738ed83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/84222A/84222A.jpg</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1744-7917.12065$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1744-7917.12065$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24136738$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Qin, Qiu‐Hong</creatorcontrib><creatorcontrib>Wang, Zi‐Long</creatorcontrib><creatorcontrib>Tian, Liu‐Qing</creatorcontrib><creatorcontrib>Gan, Hai‐Yan</creatorcontrib><creatorcontrib>Zhang, Shao‐Wu</creatorcontrib><creatorcontrib>Zeng, Zhi‐Jiang</creatorcontrib><title>The integrative analysis of microRNA and mRNA expression in Apis mellifera following maze-based visual pattern learning</title><title>Insect science</title><addtitle>Insect Science</addtitle><description>The honeybee (Apis mellifera) is a social insect with strong sensory capacity and diverse behavioral repertoire and is recognized as a good model organism for studying the neurobiological basis of learning and memory. In this study, we analyzed the changes in microRNA (miRNA) and messenger RNA (mRNA) following maze‐based visual learning using next‐generation small RNA sequencing and Solexa/lllumina Digital Gene Expression tag profiling (DGE). For small RNA sequencing, we obtained 13 367 770 and 13 132 655 clean tags from the maze and control groups, respectively. A total of 40 differentially expressed known miRNAs were detected between these two samples, and all of them were up‐regulated in the maze group compared to the control group. For DGE, 5 681 320 and 5 939 855 clean tags were detected from the maze and control groups, respectively. There were a total of 388 differentially expressed genes between these two samples, with 45 genes up‐regulated and 343 genes down‐regulated in the maze group, compared to the control group. Additionally, the expression levels of 10 differentially expressed genes were confirmed by quantitative reverse transcription polymerase chain reaction (qRT‐PCR) and the expression trends of eight of them were consistent with the DGE result, although the degree of change was lower in amplitude. The integrative analysis of miRNA and mRNA expression showed that, among the 40 differentially expressed known miRNAs and 388 differentially expressed genes, 60 pairs of miRNA/mRNA were identified as co‐expressed in our present study. These results suggest that both miRNA and mRNA may play a pivotal role in the process of learning and memory in honeybees. Our sequencing data provide comprehensive miRNA and gene expression information for maze‐based visual learning, which will facilitate understanding of the molecular mechanisms of honeybee learning and memory.</description><subject>Animals</subject><subject>Apis mellifera</subject><subject>Bees - genetics</subject><subject>Bees - physiology</subject><subject>DGE</subject><subject>differential expression</subject><subject>gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>genes</subject><subject>honey bees</subject><subject>Insect Proteins - genetics</subject><subject>Insect Proteins - metabolism</subject><subject>learning and memory</subject><subject>Maze Learning</subject><subject>memory</subject><subject>messenger RNA</subject><subject>microRNA</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>miRNA</subject><subject>Molecular Sequence Data</subject><subject>mRNA表达</subject><subject>reverse transcriptase polymerase chain reaction</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Sequence Analysis, RNA</subject><subject>social insects</subject><subject>Visual Perception</subject><subject>Y-maze</subject><subject>可视化</subject><subject>学习模式</subject><subject>微RNA</subject><subject>蜜蜂</subject><subject>迷宫</subject><subject>逆转录聚合酶链反应</subject><issn>1672-9609</issn><issn>1744-7917</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1v1DAQhiMEomXhzA0suPSS1h-xkxxXFf2QygLtlh4tJ5lsXZI4tbPdLr-e2Wa7By61Dx6Nnnk9M28UfWT0kOE5YmmSxGnO0kPGqZKvov1d5jXGKuVxrmi-F70L4Y5SkfOcv432eMKESkW2H63mt0BsN8DCm8E-ADGdadbBBuJq0trSu8vZFJMVaTcBPPYeQrCuwyIy7ZFroWlsDd6Q2jWNW9luQVrzF-LCBKjIgw1L05DeDAP4jjRgfIfI--hNbZoAH7bvJLo--TY_PosvfpyeH08v4lIqIWNTJ5kouaxYURapzBKKNzeirJgsi0RVQiQyNTyXKoNCJcDyJK0qXhU4HVSZmEQHo27v3f0SwqBbG0ps2XTglkEzxZjiNM-Sl1GpFKOpwMYm0df_0Du39Li5J0pKLmnOkDoaKdxiCB5q3XvbGr_WjOqNfXpjlt6YpZ_sw4pPW91l0UK145_9QkCOwMo2sH5JT5_Prp6F47HOhgEed3XG_9Gom0p9MzvV8-83J-zy5y_9G_nPI18bp83C26CvrzhlkuKRuGMkvmyHu3Xd4h4t3akqxXGdGX77D1mDx5E</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Qin, Qiu‐Hong</creator><creator>Wang, Zi‐Long</creator><creator>Tian, Liu‐Qing</creator><creator>Gan, Hai‐Yan</creator><creator>Zhang, Shao‐Wu</creator><creator>Zeng, Zhi‐Jiang</creator><general>Blackwell Pub</general><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>WU4</scope><scope>~WA</scope><scope>FBQ</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>7TM</scope></search><sort><creationdate>201410</creationdate><title>The integrative analysis of microRNA and mRNA expression in Apis mellifera following maze-based visual pattern learning</title><author>Qin, Qiu‐Hong ; 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In this study, we analyzed the changes in microRNA (miRNA) and messenger RNA (mRNA) following maze‐based visual learning using next‐generation small RNA sequencing and Solexa/lllumina Digital Gene Expression tag profiling (DGE). For small RNA sequencing, we obtained 13 367 770 and 13 132 655 clean tags from the maze and control groups, respectively. A total of 40 differentially expressed known miRNAs were detected between these two samples, and all of them were up‐regulated in the maze group compared to the control group. For DGE, 5 681 320 and 5 939 855 clean tags were detected from the maze and control groups, respectively. There were a total of 388 differentially expressed genes between these two samples, with 45 genes up‐regulated and 343 genes down‐regulated in the maze group, compared to the control group. Additionally, the expression levels of 10 differentially expressed genes were confirmed by quantitative reverse transcription polymerase chain reaction (qRT‐PCR) and the expression trends of eight of them were consistent with the DGE result, although the degree of change was lower in amplitude. The integrative analysis of miRNA and mRNA expression showed that, among the 40 differentially expressed known miRNAs and 388 differentially expressed genes, 60 pairs of miRNA/mRNA were identified as co‐expressed in our present study. These results suggest that both miRNA and mRNA may play a pivotal role in the process of learning and memory in honeybees. Our sequencing data provide comprehensive miRNA and gene expression information for maze‐based visual learning, which will facilitate understanding of the molecular mechanisms of honeybee learning and memory.</abstract><cop>Australia</cop><pub>Blackwell Pub</pub><pmid>24136738</pmid><doi>10.1111/1744-7917.12065</doi><tpages>18</tpages></addata></record> |
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subjects | Animals Apis mellifera Bees - genetics Bees - physiology DGE differential expression gene expression Gene Expression Profiling Gene Expression Regulation genes honey bees Insect Proteins - genetics Insect Proteins - metabolism learning and memory Maze Learning memory messenger RNA microRNA MicroRNAs - genetics MicroRNAs - metabolism miRNA Molecular Sequence Data mRNA表达 reverse transcriptase polymerase chain reaction RNA, Messenger - genetics RNA, Messenger - metabolism Sequence Analysis, RNA social insects Visual Perception Y-maze 可视化 学习模式 微RNA 蜜蜂 迷宫 逆转录聚合酶链反应 |
title | The integrative analysis of microRNA and mRNA expression in Apis mellifera following maze-based visual pattern learning |
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