Dynamic of Composition and Diversity of Gut Microbiota in Triatoma rubrofasciata in Different Developmental Stages and Environmental Conditions

• Published in: Frontiers in cellular and infection microbiology Vol. 10; p. 587708
• Main Authors: Hu, Yue, Xie, Hanguo, Gao, Minzhao, Huang, Ping, Zhou, Hongli, Ma, Yubin, Zhou, Minyu, Liang, Jinying, Yang, Jun, Lv, Zhiyue
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 02-11-2020
• Subjects: 16S rRNA gene sequencing; Cellular and Infection Microbiology; developmental stages; environmental conditions; gut microbiota; Triatoma rubrofasciata; developmental stages; 16S rRNA gene sequencing; Triatoma rubrofasciata; environmental conditions; gut microbiota
• ISSN: 2235-2988; 2235-2988
• DOI: 10.3389/fcimb.2020.587708

(
), one kind of triatomine insects, is the vector of
(
), which lead to American trypanosomiasis. Although the gut microbiome may play an essential role in the development and susceptibility of triatomine, there is limited research on the gut microbiota of
. To elucidate the effect of the vector's developmental stages and environmental conditions on the gut microbiome, we employed
rRNA gene sequencing to profile the gut bacterial community diversity and composition of
. Significant shifts were observed in the overall gut microbe diversity and composition across the development of
and specific bacteria were detected in different stages.
and
were dominant in the 1
nymphal stage, while the abundance of
was low in the 1
nymphal stage.
were undetectable in the adult stage and
peaked in the 2
nymphal stage. Moreover,
was correlated negatively with
. Likewise, the total gut microbiota diversity and composition of
differentiated significantly by environmental conditions. The ingestion of a bloodmeal increased alpha diversity of gut bacterial communities, and
was more abundant in laboratory-reared bugs whereas
enriched in wild-caught bugs. Furthermore,
was negatively correlated with
, and positively related to
only. The phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) algorithm showed obvious metagenomic functional differences by environmental conditions, and Chagas disease relevant pathway was enriched in wild-caught
.