ArticleMicrobiome2015
Metagenomic analysis of the microbiota in the highly compartmented hindguts of six wood- or soil-feeding higher termites.
Article in Microbiome, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 80 citations in OpenAlex.
- Genome-Scale Community Model-Guided Development of Bacterial Coculture for Lignocellulose Bioconversion.Biotechnology and bioengineering · 2025Article
- Elucidating the functions of gut microbiota from two edible dung beetle species: Implications for waste management and food industry.PloS one · 2025Article
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- Unveiling lignocellulolytic potential: a genomic exploration of bacterial lineages within the termite gut.Microbiome · 2024Article
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- A holobiont approach towards polysaccharide degradation by the highly compartmentalised gut system of the soil-feeding higher termite Labiotermes labralis.BMC genomics · 2023Article
- The Adaptive Evolution in the Fall ArmywormGenes · 2023Article
- De novo metatranscriptomic exploration of gene function in the millipede holobiont.Scientific reports · 2022Article
- Gut microbiome reflect adaptation of earthworms to cave and surface environments.Animal microbiome · 2022Article
- Bacterial and fungal communities within and among geographic samples of the hemp pestFrontiers in microbiology · 2022Article
- Identifying candidate structured RNAs in CRISPR operons.RNA biology · 2022Article
- Undervalued Pseudo-mSphere · 2021Article
- Comparison of Gut Bacterial Communities of Fall Armyworm (International journal of molecular sciences · 2021Article
- Variation in genomic traits of microbial communities among ecosystems.FEMS microbes · 2021Article
- Compositional and functional characterisation of biomass-degrading microbial communities in guts of plant fibre- and soil-feeding higher termites.Microbiome · 2020Article
- Integrative omics analysis of the termite gut system adaptation to Miscanthus diet identifies lignocellulose degradation enzymes.Communications biology · 2020Article
- Article
- Species-wide Metabolic Interaction Network for Understanding Natural Lignocellulose Digestion in Termite Gut Microbiota.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTermites are important contributors to carbon and nitrogen cycling in tropical ecosystems. Higher termites digest lignocellulose in various stages of humification with the help of an entirely prokaryotic microbiota housed in their compartmented intestinal tract. Previous studies revealed fundamental differences in community structure between compartments, but the functional roles of individual lineages in symbiotic digestion are mostly unknown.
resultsHere, we conducted a highly resolved analysis of the gut microbiota in six species of higher termites that feed on plant material at different levels of humification. Combining amplicon sequencing and metagenomics, we assessed similarities in community structure and functional potential between the major hindgut compartments (P1, P3, and P4). Cluster analysis of the relative abundances of orthologous gene clusters (COGs) revealed high similarities among wood- and litter-feeding termites and strong differences to humivorous species. However, abundance estimates of bacterial phyla based on 16S rRNA genes greatly differed from those based on protein-coding genes.
conclusionCommunity structure and functional potential of the microbiota in individual gut compartments are clearly driven by the digestive strategy of the host. The metagenomics libraries obtained in this study provide the basis for future studies that elucidate the fundamental differences in the symbiont-mediated breakdown of lignocellulose and humus by termites of different feeding groups. The high proportion of uncultured bacterial lineages in all samples calls for a reference-independent approach for the correct taxonomic assignment of protein-coding genes.
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