scholarly journals Seasonal Changes in a Maize-Based Polyculture of Central Mexico Reshape the Co-occurrence Networks of Soil Bacterial Communities

2017 ◽  
Vol 8 ◽  
Author(s):  
Eria A. Rebollar ◽  
Edson Sandoval-Castellanos ◽  
Kyria Roessler ◽  
Brandon S. Gaut ◽  
Luis D. Alcaraz ◽  
...  
2021 ◽  
Vol 9 (8) ◽  
pp. 1595
Author(s):  
Rui Wang ◽  
Miao Wang ◽  
Jing Wang ◽  
Yinghua Lin

Both habitats and seasons can determine the dynamics of microbial communities, but the relative importance of different habitats and seasonal changes in shaping the soil bacterial community structures on a small spatial scale in permafrost areas remains controversial. In this study, we explored the relative effect of four typical alpine meadow habitats (swamp wetland, swamp meadow, meadow and mature meadow) versus seasons on soil bacterial communities based on samples from the Qinghai-Tibetan Plateau in four months (March, May, July and September). The results showed that habitats, rather than seasons explained more variation of soil bacterial composition and structure. Environmental cofactors explained the greatest proportion of bacterial variation observed and can help elucidate the driving force of seasonal changes and habitats on bacterial communities. Soil temperature played the most important role in shaping bacterial beta diversities, followed by soil total nitrogen and pH. A group of microbial biomarkers, used as indicators of different months, were identified using random forest modeling, and for which relative abundance was shaped by different environmental factors. Furthermore, seasonality in bacterial co-occurrence patterns was observed. The data showed that co-occurrence relationships changed over months. The inter-taxa connections in May and July were more pronounced than that in March and September. Bryobacter, a genus of subgroup_22 affiliated to Acidobacteria, and Pseudonocardia belonging to Actinobacteria were observed as the keystone taxa in different months in the network. These results demonstrate that the bacterial community was clustered according to the seasonal mechanism, whereas the co-occurrence relationships changed over months, which indicated complex bacterial dynamics in a permafrost grassland on the eastern edge of Qinghai-Tibetan.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yu-Te Lin ◽  
Yu-Fei Lin ◽  
Isheng J. Tsai ◽  
Ed-Haun Chang ◽  
Shih-Hao Jien ◽  
...  

2021 ◽  
Vol 309 ◽  
pp. 107285
Author(s):  
Mengyu Gao ◽  
Jinfeng Yang ◽  
Chunmei Liu ◽  
Bowen Gu ◽  
Meng Han ◽  
...  

mBio ◽  
2014 ◽  
Vol 5 (4) ◽  
Author(s):  
Y. Verastegui ◽  
J. Cheng ◽  
K. Engel ◽  
D. Kolczynski ◽  
S. Mortimer ◽  
...  

ABSTRACTSoil microbial diversity represents the largest global reservoir of novel microorganisms and enzymes. In this study, we coupled functional metagenomics and DNA stable-isotope probing (DNA-SIP) using multiple plant-derived carbon substrates and diverse soils to characterize active soil bacterial communities and their glycoside hydrolase genes, which have value for industrial applications. We incubated samples from three disparate Canadian soils (tundra, temperate rainforest, and agricultural) with five native carbon (12C) or stable-isotope-labeled (13C) carbohydrates (glucose, cellobiose, xylose, arabinose, and cellulose). Indicator species analysis revealed high specificity and fidelity for many uncultured and unclassified bacterial taxa in the heavy DNA for all soils and substrates. Among characterized taxa,Actinomycetales(Salinibacterium),Rhizobiales(Devosia),Rhodospirillales(Telmatospirillum), andCaulobacterales(PhenylobacteriumandAsticcacaulis) were bacterial indicator species for the heavy substrates and soils tested. BothActinomycetalesandCaulobacterales(Phenylobacterium) were associated with metabolism of cellulose, andAlphaproteobacteriawere associated with the metabolism of arabinose; members of the orderRhizobialeswere strongly associated with the metabolism of xylose. Annotated metagenomic data suggested diverse glycoside hydrolase gene representation within the pooled heavy DNA. By screening 2,876 cloned fragments derived from the13C-labeled DNA isolated from soils incubated with cellulose, we demonstrate the power of combining DNA-SIP, multiple-displacement amplification (MDA), and functional metagenomics by efficiently isolating multiple clones with activity on carboxymethyl cellulose and fluorogenic proxy substrates for carbohydrate-active enzymes.IMPORTANCEThe ability to identify genes based on function, instead of sequence homology, allows the discovery of genes that would not be identified through sequence alone. This is arguably the most powerful application of metagenomics for the recovery of novel genes and a natural partner of the stable-isotope-probing approach for targeting active-yet-uncultured microorganisms. We expanded on previous efforts to combine stable-isotope probing and metagenomics, enriching microorganisms from multiple soils that were active in degrading plant-derived carbohydrates, followed by construction of a cellulose-based metagenomic library and recovery of glycoside hydrolases through functional metagenomics. The major advance of our study was the discovery of active-yet-uncultivated soil microorganisms and enrichment of their glycoside hydrolases. We recovered positive cosmid clones in a higher frequency than would be expected with direct metagenomic analysis of soil DNA. This study has generated an invaluable metagenomic resource that future research will exploit for genetic and enzymatic potential.


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