Cargando…

High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System

Dendroctonus valens, an invasive bark beetle, has caused severe damage to Chinese forests. Previous studies have highlighted the importance of the gut microbiota and its fundamental role in host fitness. Culture-dependent and culture-independent methods have been applied in analyzing beetles’ gut mi...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Letian, Sun, Liuwei, Zhang, Shihan, Wang, Shanshan, Lu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722854/
https://www.ncbi.nlm.nih.gov/pubmed/31416137
http://dx.doi.org/10.3390/insects10080248
_version_ 1783448636555788288
author Xu, Letian
Sun, Liuwei
Zhang, Shihan
Wang, Shanshan
Lu, Min
author_facet Xu, Letian
Sun, Liuwei
Zhang, Shihan
Wang, Shanshan
Lu, Min
author_sort Xu, Letian
collection PubMed
description Dendroctonus valens, an invasive bark beetle, has caused severe damage to Chinese forests. Previous studies have highlighted the importance of the gut microbiota and its fundamental role in host fitness. Culture-dependent and culture-independent methods have been applied in analyzing beetles’ gut microbiota. The former method cannot present a whole picture of the community, and the latter mostly generates short read lengths that cannot be assigned to species. Here, the PacBio sequencing system was utilized to capture full-length 16S rRNA sequences in D. valens gut throughout its ontogeny. A total of eight phyla, 55 families, 102 genera, and 253 species were identified. Bacterial communities in colonized beetles have the greatest richness but the lowest evenness in all life stages, which is different from those in young larvae. Pseudomonas sp., Serratia liquefaciens possess high abundance throughout its ontogeny and may serve as members of the core bacteriome. A phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis predicted that gut microbiota in larvae are rich in genes involved in carbohydrate, energy metabolism. Gut microbiota in both larvae and colonized beetles are rich in xenobiotics and terpenoids biodegradation, which are decreased in dispersal beetles. Considering that the results are based mainly on the analysis of 16S rRNA sequencing and PICRUSt prediction, further confirmation is needed to improve the knowledge of the gut microbiota in D. valens and help to resolve taxonomic uncertainty at the species level.
format Online
Article
Text
id pubmed-6722854
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-67228542019-09-10 High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System Xu, Letian Sun, Liuwei Zhang, Shihan Wang, Shanshan Lu, Min Insects Article Dendroctonus valens, an invasive bark beetle, has caused severe damage to Chinese forests. Previous studies have highlighted the importance of the gut microbiota and its fundamental role in host fitness. Culture-dependent and culture-independent methods have been applied in analyzing beetles’ gut microbiota. The former method cannot present a whole picture of the community, and the latter mostly generates short read lengths that cannot be assigned to species. Here, the PacBio sequencing system was utilized to capture full-length 16S rRNA sequences in D. valens gut throughout its ontogeny. A total of eight phyla, 55 families, 102 genera, and 253 species were identified. Bacterial communities in colonized beetles have the greatest richness but the lowest evenness in all life stages, which is different from those in young larvae. Pseudomonas sp., Serratia liquefaciens possess high abundance throughout its ontogeny and may serve as members of the core bacteriome. A phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis predicted that gut microbiota in larvae are rich in genes involved in carbohydrate, energy metabolism. Gut microbiota in both larvae and colonized beetles are rich in xenobiotics and terpenoids biodegradation, which are decreased in dispersal beetles. Considering that the results are based mainly on the analysis of 16S rRNA sequencing and PICRUSt prediction, further confirmation is needed to improve the knowledge of the gut microbiota in D. valens and help to resolve taxonomic uncertainty at the species level. MDPI 2019-08-14 /pmc/articles/PMC6722854/ /pubmed/31416137 http://dx.doi.org/10.3390/insects10080248 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Letian
Sun, Liuwei
Zhang, Shihan
Wang, Shanshan
Lu, Min
High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System
title High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System
title_full High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System
title_fullStr High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System
title_full_unstemmed High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System
title_short High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System
title_sort high-resolution profiling of gut bacterial communities in an invasive beetle using pacbio smrt sequencing system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722854/
https://www.ncbi.nlm.nih.gov/pubmed/31416137
http://dx.doi.org/10.3390/insects10080248
work_keys_str_mv AT xuletian highresolutionprofilingofgutbacterialcommunitiesinaninvasivebeetleusingpacbiosmrtsequencingsystem
AT sunliuwei highresolutionprofilingofgutbacterialcommunitiesinaninvasivebeetleusingpacbiosmrtsequencingsystem
AT zhangshihan highresolutionprofilingofgutbacterialcommunitiesinaninvasivebeetleusingpacbiosmrtsequencingsystem
AT wangshanshan highresolutionprofilingofgutbacterialcommunitiesinaninvasivebeetleusingpacbiosmrtsequencingsystem
AT lumin highresolutionprofilingofgutbacterialcommunitiesinaninvasivebeetleusingpacbiosmrtsequencingsystem