2022
DOI: 10.1007/s00248-022-01990-1
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Diverse Bathyarchaeotal Lineages Dominate Archaeal Communities in the Acidic Dajiuhu Peatland, Central China

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Cited by 5 publications
(6 citation statements)
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“…2 ), respectively. These results suggest that Bathyarchaeota was also dominant in aerobic paddy soil, and broadened previous prescription that Bathyarchaeota are generalists in anaerobic environments such as sediments ( 5 ), peatland ( 59 ), and anaerobic digestion system ( 9 ), which will expand our understanding of Bathyarchaeota.…”
Section: Discussionsupporting
confidence: 75%
See 1 more Smart Citation
“…2 ), respectively. These results suggest that Bathyarchaeota was also dominant in aerobic paddy soil, and broadened previous prescription that Bathyarchaeota are generalists in anaerobic environments such as sediments ( 5 ), peatland ( 59 ), and anaerobic digestion system ( 9 ), which will expand our understanding of Bathyarchaeota.…”
Section: Discussionsupporting
confidence: 75%
“…In addition, Bathy-15 and Bathy-5bb were two other abundant subgroups in paddy soils with average relative abundance more than 1% ( Fig. 5B ), while their abundance was much lower compared to those detected in freshwater sediments ( 5 , 59 ). However, Bathy-1 and Bathy-8, which are Bathyarchaeota indicator lineages of marine sediments ( 20 ), were almost undetected in paddy soils analyzed in this study.…”
Section: Discussionmentioning
confidence: 90%
“…We found that the degree distribution of the mycobiomes' co-occurrence networks of weathered rocks and sediments in Luohandu cave followed a power law, as usually observed for peat sediment and soil microbial interaction networks [29,45]. The power law distribution was evidenced by analyzing competition, habitat filtering, evolution history and neutral process [46].…”
Section: Ascomycota Dominate the Mycobiome Networksupporting
confidence: 66%
“…To optimize the networks’ specificity and sensitivity, the ASVs were filtered based on abundance (>0.05%) and frequency (>20% of samples); the remaining ASVs (219 vs. 107) were used to calculate the Spearman rank correlations (rho). Significant relations with rho > 0.663 (sediments) and >0.641 (weathered rocks), with p < 0.01, which were determined by the random matrix theory-based approach using the RMThreshold (version:1.1) package [ 29 ], were selected to construct co-occurrence and mutual-exclusion networks using the meconetcomp (version: 0.4.1) package [ 30 ] and visualized by Gephi software (version: 0.9.2). In the co-occurrence networks, the nodes represent the mycobiome ASVs, and the edges reflect significant correlations between them.…”
Section: Methodsmentioning
confidence: 99%
“…The relative abundance of Woesearchaeia and Aenigmarchaeales negatively correlated to TOC ( Figure 3A ), which dominated in DW samples with a relative abundance of 1.31 ± 1.09% and 0.31 ± 0.33%, respectively ( Supplementary Table 2 ). These anaerobes might be brought into the cave by drip water from the anoxic overlying rocks, which performed nutrient complementation with other microbes due to their prominent metabolic shortages ( Castelle et al, 2015 ; Liu et al, 2018 ; Vigneron et al, 2022 ; Xiang et al, 2022 ). NH 4 + concentration significantly impacted on the relative abundances of many archaeal and bacterial groups in the Heshang Cave ( Figures 3A , B ), such as the important taxa of Thermoplasmata , Nitrosopumilaceae , Aenigmarchaeales , Crossiella , Acidothermus , and Solirubrobacter , indicating the significance of NH 4 + in cave ecosystems.…”
Section: Discussionmentioning
confidence: 99%