Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA

Abstract Stored-product psocids (Psocoptera: Liposcelididae) are cosmopolitan storage pests that can damage stored products and cause serious economic loss. However, because of the body size (~1 mm) of eggs, nymphs, and adults, morphological identification of most stored-product psocids is difficult...

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Autores principales:	Li-Jun Liu, Ao-Han Pang, Shi-Qian Feng, Bing-Yi Cui, Zi-Hua Zhao, Zuzana Kučerová, Václav Stejskal, George Opit, Radek Aulicky, Yang Cao, Fu-Jun Li, Yi Wu, Tao Zhang, Zhi-Hong Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/111a4c93169a43f3abb2e6c798216c99
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spelling	oai:doaj.org-article:111a4c93169a43f3abb2e6c798216c992021-12-02T15:05:35ZMolecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA10.1038/s41598-017-16888-z2045-2322https://doaj.org/article/111a4c93169a43f3abb2e6c798216c992017-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-16888-zhttps://doaj.org/toc/2045-2322Abstract Stored-product psocids (Psocoptera: Liposcelididae) are cosmopolitan storage pests that can damage stored products and cause serious economic loss. However, because of the body size (~1 mm) of eggs, nymphs, and adults, morphological identification of most stored-product psocids is difficult and hampers effective identification. In this study, 10 economically important stored-product Liposcelis spp. psocids (Liposcelis brunnea, L. entomophila, L. decolor, L. pearmani, L. rufa, L.mendax, L. bostrychophila, L. corrodens, L. paeta, and L. tricolor) were collected from 25 geographic locations in 3 countries (China, Czech Republic, and the United States). Ten species-specific probes for identifying these 10 psocid species were designed based on ITS2 sequences. The microarray method and reaction system were optimized. Specificity of each of the ten probes was tested, and all probes were found suitable for use in identification of the respective10 Liposcelis spp. psocids at 66 °C. This method was also used to identify an unknown psocid species collected in Taian, China. This work has contributed to the development of a molecular identification method for stored-product psocids, and can provide technical support not only to facilitate identification of intercepted samples in relation to plant quarantine, but also for use in insect pest monitoring.Li-Jun LiuAo-Han PangShi-Qian FengBing-Yi CuiZi-Hua ZhaoZuzana KučerováVáclav StejskalGeorge OpitRadek AulickyYang CaoFu-Jun LiYi WuTao ZhangZhi-Hong LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Li-Jun Liu Ao-Han Pang Shi-Qian Feng Bing-Yi Cui Zi-Hua Zhao Zuzana Kučerová Václav Stejskal George Opit Radek Aulicky Yang Cao Fu-Jun Li Yi Wu Tao Zhang Zhi-Hong Li Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
description	Abstract Stored-product psocids (Psocoptera: Liposcelididae) are cosmopolitan storage pests that can damage stored products and cause serious economic loss. However, because of the body size (~1 mm) of eggs, nymphs, and adults, morphological identification of most stored-product psocids is difficult and hampers effective identification. In this study, 10 economically important stored-product Liposcelis spp. psocids (Liposcelis brunnea, L. entomophila, L. decolor, L. pearmani, L. rufa, L.mendax, L. bostrychophila, L. corrodens, L. paeta, and L. tricolor) were collected from 25 geographic locations in 3 countries (China, Czech Republic, and the United States). Ten species-specific probes for identifying these 10 psocid species were designed based on ITS2 sequences. The microarray method and reaction system were optimized. Specificity of each of the ten probes was tested, and all probes were found suitable for use in identification of the respective10 Liposcelis spp. psocids at 66 °C. This method was also used to identify an unknown psocid species collected in Taian, China. This work has contributed to the development of a molecular identification method for stored-product psocids, and can provide technical support not only to facilitate identification of intercepted samples in relation to plant quarantine, but also for use in insect pest monitoring.
format	article
author	Li-Jun Liu Ao-Han Pang Shi-Qian Feng Bing-Yi Cui Zi-Hua Zhao Zuzana Kučerová Václav Stejskal George Opit Radek Aulicky Yang Cao Fu-Jun Li Yi Wu Tao Zhang Zhi-Hong Li
author_facet	Li-Jun Liu Ao-Han Pang Shi-Qian Feng Bing-Yi Cui Zi-Hua Zhao Zuzana Kučerová Václav Stejskal George Opit Radek Aulicky Yang Cao Fu-Jun Li Yi Wu Tao Zhang Zhi-Hong Li
author_sort	Li-Jun Liu
title	Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
title_short	Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
title_full	Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
title_fullStr	Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
title_full_unstemmed	Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
title_sort	molecular identification of ten species of stored-product psocids through microarray method based on its2 rdna
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/111a4c93169a43f3abb2e6c798216c99
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Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA

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