2020
DOI: 10.7717/peerj.8614
|View full text |Cite
|
Sign up to set email alerts
|

Phylogenomic analysis of 589 metagenome-assembled genomes encompassing all major prokaryotic lineages from the gut of higher termites

Abstract: “Higher” termites have been able to colonize all tropical and subtropical regions because of their ability to digest lignocellulose with the aid of their prokaryotic gut microbiota. Over the last decade, numerous studies based on 16S rRNA gene amplicon libraries have largely described both the taxonomy and structure of the prokaryotic communities associated with termite guts. Host diet and microenvironmental conditions have emerged as the main factors structuring the microbial assemblages in the different gut … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
38
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 46 publications
(44 citation statements)
references
References 105 publications
0
38
1
Order By: Relevance
“…0.69%) is four times higher than that assigned to euryarchaeal MAGs (0.02–0.79%; avg. 0.16%; Table S2 in Hervé et al ., 2020), the population sizes of Bathyarchaeia might be sufficient to contribute significantly to acetogenesis, particularly in soil-feeding species.…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…0.69%) is four times higher than that assigned to euryarchaeal MAGs (0.02–0.79%; avg. 0.16%; Table S2 in Hervé et al ., 2020), the population sizes of Bathyarchaeia might be sufficient to contribute significantly to acetogenesis, particularly in soil-feeding species.…”
Section: Resultsmentioning
confidence: 99%
“…SSU rRNA gene sequences in the MAGs and other bathyarchaeotal bins obtained from the original metagenomes (Hervé et al ., 2020) were identified using the ssu_finder function implemented in CheckM. Sequences were imported into the alignment of rRNA gene sequences in the SILVA SSURef NR database release 132 (https://www.arb-silva.de; Quast et al, 2013) using Arb v6.0.6 (Ludwig et al ., 2004).…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations