Application of insulin signaling to predict insect growth rate in Maruca vitrata (Lepidoptera: Crambidae)
Insect growth is influenced by two major environmental factors: temperature and nutrient. These environmental factors are internally mediated by insulin/insulin-like growth factor signal (IIS) to coordinate tissue or organ growth. Maruca vitrata, a subtropical lepidopteran insect, migrates to differ...
Gespeichert in:
| Veröffentlicht in: | PloS one 2018-10, Vol.13 (10), p.e0204935-e0204935 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0204935 |
|---|---|
| container_issue | 10 |
| container_start_page | e0204935 |
| container_title | PloS one |
| container_volume | 13 |
| creator | Al Baki, Md Abdullah Jung, Jin Kyo Maharjan, Rameswor Yi, Hwijong Ahn, Jeong Joon Gu, Xiaojun Kim, Yonggyun |
| description | Insect growth is influenced by two major environmental factors: temperature and nutrient. These environmental factors are internally mediated by insulin/insulin-like growth factor signal (IIS) to coordinate tissue or organ growth. Maruca vitrata, a subtropical lepidopteran insect, migrates to different climate regions and feeds on various crops. The objective of this study was to determine molecular tools to predict growth rate of M. vitrata using IIS components. Four genes [insulin receptor (InR), Forkhead Box O (FOXO), Target of Rapamycin (TOR), and serine-threonine protein kinase (Akt)] were used to correlate their expression levels with larval growth rates under different environmental conditions. The functional association of IIS and larval growth was confirmed because RNA interference of these genes significantly decreased larval growth rate and pupal weight. Different rearing temperatures altered expression levels of these four IIS genes and changed their growth rate. Different nutrient conditions also significantly changed larval growth and altered expression levels of IIS components. Different local populations of M. vitrata exhibited significantly different larval growth rates under the same nutrient and temperature conditions along with different expression levels of IIS components. Under a constant temperature (25°C), larval growth rates showed significant correlations with IIS gene expression levels. Subsequent regression formulas of expression levels of four IIS components against larval growth rate were applied to predict growth patterns of M. vitrata larvae reared on different natural hosts and natural local populations reared on the same diet. All four formulas well predicted larval growth rates with some deviations. These results indicate that the IIS expression analysis explains the growth variation at the same temperature due to nutrient and genetic background. |
| doi_str_mv | 10.1371/journal.pone.0204935 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2116415238</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A557683469</galeid><doaj_id>oai_doaj_org_article_19101ed8c5b641aba0f5c86f042d7ef6</doaj_id><sourcerecordid>A557683469</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-93b9903ad420548f082e254d4b635ee89fb7360e161cdb50fa648951c86e5ef93</originalsourceid><addsrcrecordid>eNqNk11v0zAUhiMEYmPwDxBEQkLbRYs_YtfhAqmq-Kg0NImvW8txjlNXaZzZzoB_j0OzqUW7QLlwdPy874nf-GTZc4zmmC7wm60bfKfaee86mCOCipKyB9kpLimZcYLow4P3k-xJCFuEGBWcP85OKCKCY8ZPM7vs-9ZqFa3rcmdy24WhtV0ebJPMbdfk0eW9h9rqOG5CWhrvfsZN7lWEVMo_Kz9old_YmCoqP7-E3tauj-DV23zl1a6ytYKLp9kjo9oAz6b1LPv-4f231afZ5dXH9Wp5OdO8JHFW0qosEVV1QRArhEGCAGFFXVScMgBRmmpBOQLMsa4rhozihSgZ1oIDA1PSs-zl3rdvXZBTSkESjHmBGaEiEes9UTu1lb23O-V_S6es_FtwvpHKR6tbkLjECEMtNKuSWlUKGZY6GVSQegGGJ693U7eh2kGtoUsptEemxzud3cjG3UiOF1gIkgzOJwPvrgcIUe5s0NC2qgM37L9bMEI4S-irf9D7TzdRjUoHsJ1xqa8eTeWSsQUXtOBjSvN7qPTUsLM6XSljU_1IcHEkSEyEX7FRQwhy_fXL_7NXP47Z1wfsBlQbN8G1w3ghwzFY7EHtXQgezF3IGMlxIm7TkONEyGkikuzF4Q-6E92OAP0DA10F2Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2116415238</pqid></control><display><type>article</type><title>Application of insulin signaling to predict insect growth rate in Maruca vitrata (Lepidoptera: Crambidae)</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Al Baki, Md Abdullah ; Jung, Jin Kyo ; Maharjan, Rameswor ; Yi, Hwijong ; Ahn, Jeong Joon ; Gu, Xiaojun ; Kim, Yonggyun</creator><contributor>Ling, Erjun</contributor><creatorcontrib>Al Baki, Md Abdullah ; Jung, Jin Kyo ; Maharjan, Rameswor ; Yi, Hwijong ; Ahn, Jeong Joon ; Gu, Xiaojun ; Kim, Yonggyun ; Ling, Erjun</creatorcontrib><description>Insect growth is influenced by two major environmental factors: temperature and nutrient. These environmental factors are internally mediated by insulin/insulin-like growth factor signal (IIS) to coordinate tissue or organ growth. Maruca vitrata, a subtropical lepidopteran insect, migrates to different climate regions and feeds on various crops. The objective of this study was to determine molecular tools to predict growth rate of M. vitrata using IIS components. Four genes [insulin receptor (InR), Forkhead Box O (FOXO), Target of Rapamycin (TOR), and serine-threonine protein kinase (Akt)] were used to correlate their expression levels with larval growth rates under different environmental conditions. The functional association of IIS and larval growth was confirmed because RNA interference of these genes significantly decreased larval growth rate and pupal weight. Different rearing temperatures altered expression levels of these four IIS genes and changed their growth rate. Different nutrient conditions also significantly changed larval growth and altered expression levels of IIS components. Different local populations of M. vitrata exhibited significantly different larval growth rates under the same nutrient and temperature conditions along with different expression levels of IIS components. Under a constant temperature (25°C), larval growth rates showed significant correlations with IIS gene expression levels. Subsequent regression formulas of expression levels of four IIS components against larval growth rate were applied to predict growth patterns of M. vitrata larvae reared on different natural hosts and natural local populations reared on the same diet. All four formulas well predicted larval growth rates with some deviations. These results indicate that the IIS expression analysis explains the growth variation at the same temperature due to nutrient and genetic background.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0204935</identifier><identifier>PMID: 30286156</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>AKT protein ; Biology and Life Sciences ; Crop science ; Environmental conditions ; Environmental factors ; Forkhead protein ; Gene expression ; Genes ; Growth factors ; Growth models ; Growth patterns ; Growth rate ; Insect migration ; Insects ; Insulin ; Kinases ; Larvae ; Larval development ; Legumes ; Lepidoptera ; Local population ; Maruca vitrata ; Medicine and Health Sciences ; Metabolism ; Metamorphosis (Biology) ; Nutrients ; Nutrition research ; Peptides ; Populations ; Protein kinase ; Proteins ; Rapamycin ; Regression analysis ; Research and Analysis Methods ; Ribonucleic acid ; RNA ; RNA interference ; RNA-mediated interference ; Rural development ; Temperature ; Temperature effects ; Threonine ; TOR protein ; Weight</subject><ispartof>PloS one, 2018-10, Vol.13 (10), p.e0204935-e0204935</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Al Baki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Al Baki et al 2018 Al Baki et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-93b9903ad420548f082e254d4b635ee89fb7360e161cdb50fa648951c86e5ef93</citedby><cites>FETCH-LOGICAL-c692t-93b9903ad420548f082e254d4b635ee89fb7360e161cdb50fa648951c86e5ef93</cites><orcidid>0000-0002-6840-2167</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171882/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171882/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30286156$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ling, Erjun</contributor><creatorcontrib>Al Baki, Md Abdullah</creatorcontrib><creatorcontrib>Jung, Jin Kyo</creatorcontrib><creatorcontrib>Maharjan, Rameswor</creatorcontrib><creatorcontrib>Yi, Hwijong</creatorcontrib><creatorcontrib>Ahn, Jeong Joon</creatorcontrib><creatorcontrib>Gu, Xiaojun</creatorcontrib><creatorcontrib>Kim, Yonggyun</creatorcontrib><title>Application of insulin signaling to predict insect growth rate in Maruca vitrata (Lepidoptera: Crambidae)</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Insect growth is influenced by two major environmental factors: temperature and nutrient. These environmental factors are internally mediated by insulin/insulin-like growth factor signal (IIS) to coordinate tissue or organ growth. Maruca vitrata, a subtropical lepidopteran insect, migrates to different climate regions and feeds on various crops. The objective of this study was to determine molecular tools to predict growth rate of M. vitrata using IIS components. Four genes [insulin receptor (InR), Forkhead Box O (FOXO), Target of Rapamycin (TOR), and serine-threonine protein kinase (Akt)] were used to correlate their expression levels with larval growth rates under different environmental conditions. The functional association of IIS and larval growth was confirmed because RNA interference of these genes significantly decreased larval growth rate and pupal weight. Different rearing temperatures altered expression levels of these four IIS genes and changed their growth rate. Different nutrient conditions also significantly changed larval growth and altered expression levels of IIS components. Different local populations of M. vitrata exhibited significantly different larval growth rates under the same nutrient and temperature conditions along with different expression levels of IIS components. Under a constant temperature (25°C), larval growth rates showed significant correlations with IIS gene expression levels. Subsequent regression formulas of expression levels of four IIS components against larval growth rate were applied to predict growth patterns of M. vitrata larvae reared on different natural hosts and natural local populations reared on the same diet. All four formulas well predicted larval growth rates with some deviations. These results indicate that the IIS expression analysis explains the growth variation at the same temperature due to nutrient and genetic background.</description><subject>AKT protein</subject><subject>Biology and Life Sciences</subject><subject>Crop science</subject><subject>Environmental conditions</subject><subject>Environmental factors</subject><subject>Forkhead protein</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Growth factors</subject><subject>Growth models</subject><subject>Growth patterns</subject><subject>Growth rate</subject><subject>Insect migration</subject><subject>Insects</subject><subject>Insulin</subject><subject>Kinases</subject><subject>Larvae</subject><subject>Larval development</subject><subject>Legumes</subject><subject>Lepidoptera</subject><subject>Local population</subject><subject>Maruca vitrata</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Metamorphosis (Biology)</subject><subject>Nutrients</subject><subject>Nutrition research</subject><subject>Peptides</subject><subject>Populations</subject><subject>Protein kinase</subject><subject>Proteins</subject><subject>Rapamycin</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA interference</subject><subject>RNA-mediated interference</subject><subject>Rural development</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Threonine</subject><subject>TOR protein</subject><subject>Weight</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBEQkLbRYs_YtfhAqmq-Kg0NImvW8txjlNXaZzZzoB_j0OzqUW7QLlwdPy874nf-GTZc4zmmC7wm60bfKfaee86mCOCipKyB9kpLimZcYLow4P3k-xJCFuEGBWcP85OKCKCY8ZPM7vs-9ZqFa3rcmdy24WhtV0ebJPMbdfk0eW9h9rqOG5CWhrvfsZN7lWEVMo_Kz9old_YmCoqP7-E3tauj-DV23zl1a6ytYKLp9kjo9oAz6b1LPv-4f231afZ5dXH9Wp5OdO8JHFW0qosEVV1QRArhEGCAGFFXVScMgBRmmpBOQLMsa4rhozihSgZ1oIDA1PSs-zl3rdvXZBTSkESjHmBGaEiEes9UTu1lb23O-V_S6es_FtwvpHKR6tbkLjECEMtNKuSWlUKGZY6GVSQegGGJ693U7eh2kGtoUsptEemxzud3cjG3UiOF1gIkgzOJwPvrgcIUe5s0NC2qgM37L9bMEI4S-irf9D7TzdRjUoHsJ1xqa8eTeWSsQUXtOBjSvN7qPTUsLM6XSljU_1IcHEkSEyEX7FRQwhy_fXL_7NXP47Z1wfsBlQbN8G1w3ghwzFY7EHtXQgezF3IGMlxIm7TkONEyGkikuzF4Q-6E92OAP0DA10F2Q</recordid><startdate>20181004</startdate><enddate>20181004</enddate><creator>Al Baki, Md Abdullah</creator><creator>Jung, Jin Kyo</creator><creator>Maharjan, Rameswor</creator><creator>Yi, Hwijong</creator><creator>Ahn, Jeong Joon</creator><creator>Gu, Xiaojun</creator><creator>Kim, Yonggyun</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6840-2167</orcidid></search><sort><creationdate>20181004</creationdate><title>Application of insulin signaling to predict insect growth rate in Maruca vitrata (Lepidoptera: Crambidae)</title><author>Al Baki, Md Abdullah ; Jung, Jin Kyo ; Maharjan, Rameswor ; Yi, Hwijong ; Ahn, Jeong Joon ; Gu, Xiaojun ; Kim, Yonggyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-93b9903ad420548f082e254d4b635ee89fb7360e161cdb50fa648951c86e5ef93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>AKT protein</topic><topic>Biology and Life Sciences</topic><topic>Crop science</topic><topic>Environmental conditions</topic><topic>Environmental factors</topic><topic>Forkhead protein</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Growth factors</topic><topic>Growth models</topic><topic>Growth patterns</topic><topic>Growth rate</topic><topic>Insect migration</topic><topic>Insects</topic><topic>Insulin</topic><topic>Kinases</topic><topic>Larvae</topic><topic>Larval development</topic><topic>Legumes</topic><topic>Lepidoptera</topic><topic>Local population</topic><topic>Maruca vitrata</topic><topic>Medicine and Health Sciences</topic><topic>Metabolism</topic><topic>Metamorphosis (Biology)</topic><topic>Nutrients</topic><topic>Nutrition research</topic><topic>Peptides</topic><topic>Populations</topic><topic>Protein kinase</topic><topic>Proteins</topic><topic>Rapamycin</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA interference</topic><topic>RNA-mediated interference</topic><topic>Rural development</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Threonine</topic><topic>TOR protein</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al Baki, Md Abdullah</creatorcontrib><creatorcontrib>Jung, Jin Kyo</creatorcontrib><creatorcontrib>Maharjan, Rameswor</creatorcontrib><creatorcontrib>Yi, Hwijong</creatorcontrib><creatorcontrib>Ahn, Jeong Joon</creatorcontrib><creatorcontrib>Gu, Xiaojun</creatorcontrib><creatorcontrib>Kim, Yonggyun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al Baki, Md Abdullah</au><au>Jung, Jin Kyo</au><au>Maharjan, Rameswor</au><au>Yi, Hwijong</au><au>Ahn, Jeong Joon</au><au>Gu, Xiaojun</au><au>Kim, Yonggyun</au><au>Ling, Erjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of insulin signaling to predict insect growth rate in Maruca vitrata (Lepidoptera: Crambidae)</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-10-04</date><risdate>2018</risdate><volume>13</volume><issue>10</issue><spage>e0204935</spage><epage>e0204935</epage><pages>e0204935-e0204935</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Insect growth is influenced by two major environmental factors: temperature and nutrient. These environmental factors are internally mediated by insulin/insulin-like growth factor signal (IIS) to coordinate tissue or organ growth. Maruca vitrata, a subtropical lepidopteran insect, migrates to different climate regions and feeds on various crops. The objective of this study was to determine molecular tools to predict growth rate of M. vitrata using IIS components. Four genes [insulin receptor (InR), Forkhead Box O (FOXO), Target of Rapamycin (TOR), and serine-threonine protein kinase (Akt)] were used to correlate their expression levels with larval growth rates under different environmental conditions. The functional association of IIS and larval growth was confirmed because RNA interference of these genes significantly decreased larval growth rate and pupal weight. Different rearing temperatures altered expression levels of these four IIS genes and changed their growth rate. Different nutrient conditions also significantly changed larval growth and altered expression levels of IIS components. Different local populations of M. vitrata exhibited significantly different larval growth rates under the same nutrient and temperature conditions along with different expression levels of IIS components. Under a constant temperature (25°C), larval growth rates showed significant correlations with IIS gene expression levels. Subsequent regression formulas of expression levels of four IIS components against larval growth rate were applied to predict growth patterns of M. vitrata larvae reared on different natural hosts and natural local populations reared on the same diet. All four formulas well predicted larval growth rates with some deviations. These results indicate that the IIS expression analysis explains the growth variation at the same temperature due to nutrient and genetic background.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30286156</pmid><doi>10.1371/journal.pone.0204935</doi><tpages>e0204935</tpages><orcidid>https://orcid.org/0000-0002-6840-2167</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2018-10, Vol.13 (10), p.e0204935-e0204935 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2116415238 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | AKT protein Biology and Life Sciences Crop science Environmental conditions Environmental factors Forkhead protein Gene expression Genes Growth factors Growth models Growth patterns Growth rate Insect migration Insects Insulin Kinases Larvae Larval development Legumes Lepidoptera Local population Maruca vitrata Medicine and Health Sciences Metabolism Metamorphosis (Biology) Nutrients Nutrition research Peptides Populations Protein kinase Proteins Rapamycin Regression analysis Research and Analysis Methods Ribonucleic acid RNA RNA interference RNA-mediated interference Rural development Temperature Temperature effects Threonine TOR protein Weight |
| title | Application of insulin signaling to predict insect growth rate in Maruca vitrata (Lepidoptera: Crambidae) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T02%3A31%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20of%20insulin%20signaling%20to%20predict%20insect%20growth%20rate%20in%20Maruca%20vitrata%20(Lepidoptera:%20Crambidae)&rft.jtitle=PloS%20one&rft.au=Al%20Baki,%20Md%20Abdullah&rft.date=2018-10-04&rft.volume=13&rft.issue=10&rft.spage=e0204935&rft.epage=e0204935&rft.pages=e0204935-e0204935&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0204935&rft_dat=%3Cgale_plos_%3EA557683469%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2116415238&rft_id=info:pmid/30286156&rft_galeid=A557683469&rft_doaj_id=oai_doaj_org_article_19101ed8c5b641aba0f5c86f042d7ef6&rfr_iscdi=true |