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A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae

Many field studies of insects have focused on the adult stage alone, likely because immature stages are unknown in most insect species. Molecular species identification (e.g., DNA barcoding) has helped ascertain the immature stages of many insects, but larval developmental stages (instars) cannot be...

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Autor principal: Sasakawa, Kôji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585218/
https://www.ncbi.nlm.nih.gov/pubmed/23469083
http://dx.doi.org/10.1371/journal.pone.0057836
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author Sasakawa, Kôji
author_facet Sasakawa, Kôji
author_sort Sasakawa, Kôji
collection PubMed
description Many field studies of insects have focused on the adult stage alone, likely because immature stages are unknown in most insect species. Molecular species identification (e.g., DNA barcoding) has helped ascertain the immature stages of many insects, but larval developmental stages (instars) cannot be identified. The identification of the growth stages of collected individuals is indispensable from both ecological and taxonomic perspectives. Using a larval–adult body size relationship across species, I present a novel technique for identifying the instar of field-collected insect larvae that are identified by molecular species identification technique. This method is based on the assumption that classification functions derived from discriminant analyses, performed with larval instar as a response variable and adult and larval body sizes as explanatory variables, can be used to determine the instar of a given larval specimen that was not included in the original data set, even at the species level. This size relationship has been demonstrated in larval instars for many insects (Dyar’s rule), but no attempt has been made to include the adult stage. Analysis of a test data set derived from the beetle family Carabidae (Coleoptera) showed that classification functions obtained from data sets derived from related species had a correct classification rate of 81–100%. Given that no reliable method has been established to identify the instar of field-collected insect larvae, these values may have sufficient accuracy as an analytical method for field-collected samples. The chief advantage of this technique is that the instar can be identified even when only one specimen is available per species if classification functions are determined for groups to which the focal species belongs. Similar classification functions should be created for other insect groups. By using those functions together with molecular species identification, future studies could include larval stages as well as adults.
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spelling pubmed-35852182013-03-06 A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae Sasakawa, Kôji PLoS One Research Article Many field studies of insects have focused on the adult stage alone, likely because immature stages are unknown in most insect species. Molecular species identification (e.g., DNA barcoding) has helped ascertain the immature stages of many insects, but larval developmental stages (instars) cannot be identified. The identification of the growth stages of collected individuals is indispensable from both ecological and taxonomic perspectives. Using a larval–adult body size relationship across species, I present a novel technique for identifying the instar of field-collected insect larvae that are identified by molecular species identification technique. This method is based on the assumption that classification functions derived from discriminant analyses, performed with larval instar as a response variable and adult and larval body sizes as explanatory variables, can be used to determine the instar of a given larval specimen that was not included in the original data set, even at the species level. This size relationship has been demonstrated in larval instars for many insects (Dyar’s rule), but no attempt has been made to include the adult stage. Analysis of a test data set derived from the beetle family Carabidae (Coleoptera) showed that classification functions obtained from data sets derived from related species had a correct classification rate of 81–100%. Given that no reliable method has been established to identify the instar of field-collected insect larvae, these values may have sufficient accuracy as an analytical method for field-collected samples. The chief advantage of this technique is that the instar can be identified even when only one specimen is available per species if classification functions are determined for groups to which the focal species belongs. Similar classification functions should be created for other insect groups. By using those functions together with molecular species identification, future studies could include larval stages as well as adults. Public Library of Science 2013-02-28 /pmc/articles/PMC3585218/ /pubmed/23469083 http://dx.doi.org/10.1371/journal.pone.0057836 Text en © 2013 Kôji Sasakawa http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sasakawa, Kôji
A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae
title A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae
title_full A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae
title_fullStr A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae
title_full_unstemmed A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae
title_short A Novel Technique for Identifying the Instar of Field-Collected Insect Larvae
title_sort novel technique for identifying the instar of field-collected insect larvae
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585218/
https://www.ncbi.nlm.nih.gov/pubmed/23469083
http://dx.doi.org/10.1371/journal.pone.0057836
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