scholarly journals The biogeography of fungal communities in paddy soils is mainly driven by geographic distance

2018 ◽  
Vol 18 (5) ◽  
pp. 1795-1805 ◽  
Author(s):  
Chaolei Yuan ◽  
Limei Zhang ◽  
Hangwei Hu ◽  
Juntao Wang ◽  
Jupei Shen ◽  
...  
2018 ◽  
Vol 130 ◽  
pp. 251-258 ◽  
Author(s):  
San'an Nie ◽  
Xiumei Lei ◽  
Lixia Zhao ◽  
Philip C. Brookes ◽  
Fei Wang ◽  
...  

2011 ◽  
Vol 63 (2) ◽  
pp. 113-132 ◽  
Author(s):  
Felix Bärlocher ◽  
Morag Stewart ◽  
Darren S. Ryder

2016 ◽  
Vol 16 (12) ◽  
pp. 2657-2665 ◽  
Author(s):  
Hai-Yan Yuan ◽  
Long-Jun Ding ◽  
Ning Wang ◽  
Song-Can Chen ◽  
Ye Deng ◽  
...  

2021 ◽  
Author(s):  
Yong Zheng ◽  
Liang Chen ◽  
Niu-Niu Ji ◽  
Yong-Long Wang ◽  
Cheng Gao ◽  
...  

Latitudinal gradients provide opportunities to better understand soil fungal community assembly and its relationship with vegetation, climate, soil and ecosystem function. We quantified the relative importance of stochastic and deterministic processes in structuring soil fungal communities using patterns of community dissimilarity observed within and between twelve natural forests. The results revealed that whole fungal communities and communities of arbuscular and ectomycorrhizal fungi consistently exhibited divergent patterns but with less divergence for ectomycorrhizal fungi at most sites. Within those forests, no clear relationships were observed between the degree of divergence within fungal and plant communities. When comparing communities at larger spatial scales, among the twelve forests, we observed distinct separation in all three fungal groups among tropical, subtropical and temperate biomes. Soil fungal β-diversity patterns between forests were greater when comparing forests exhibiting high habitat turnover, with these patterns being driven to a greater extent in each fungal group by temperature, soil pH, soil carbon and plant community composition than by geographic distance. Taken together, although large-scale community turnover could be attributed to specific environmental drivers, strong divergence during community assembly in forest soils at local scales limits the predictability of fungal community assembly outcomes.


2020 ◽  
Author(s):  
Andre Boraks ◽  
Gregory M. Plunkett ◽  
Thomas Doro ◽  
Frazer Alo ◽  
Chanel Sam ◽  
...  

AbstractFungi provide essential ecosystem services and engage in a variety of symbiotic relationships with trees. In this study, we investigate the spatial relationship of trees and fungi at a community level. We characterized the spatial dynamics for above- and belowground fungi using a series of forest monitoring plots, at nested spatial scales, located in the tropical South Pacific. Fungal communities exhibited strong distance decay of similarity across our entire sampling range (3–110,000 m), and also at small spatial scales (< 50 m). Unexpectedly, this pattern was inverted at an intermediate scale (3.7–26 km). At large scales (80–110 km), belowground and aboveground fungal communities responded inversely to increasing geographic distance. Aboveground fungal community turnover (beta diversity) was best explained, at all scales, by geographic distance. In contrast, belowground fungal community turnover was best explained by geographic distance at small scales, and tree community composition at large scales. We demonstrate scale-dependent spatial dynamics of fungal communities, synchronous spatial dynamics for trees and fungi, and the varying influence of habitat versus geographic distance in structuring Soil, Selaginella sp., and Understory fungal communities.


2021 ◽  
Author(s):  
Si-Yu Zhang ◽  
Xiao Xiao ◽  
Song-Can Chen ◽  
Yong-Guan Zhu ◽  
Konstantinos T. Konstantinidis

Abstract Arsenic (As) metabolism genes are generally present in soils but their diversity, relative abundance, and transcriptional activity in response to different As concentrations remain unclear, limiting our understanding of the microbial activities that control the fate of an important environmental pollutant. To address this issue, we applied metagenomics and metatranscriptomics to paddy soils showing a gradient of As concentrations to investigate As resistance genes (ars) including arsR, acr3, arsB, arsC, arsM, arsI, arsP, and arsH as well as energy-generating As respiratory oxidation (aioA) and reduction (arrA) genes. Somewhat unexpectedly, the relative DNA abundances and diversity of ars, aioA, and arrA genes were not significantly different between low and high (~10 vs ~100 mg kg-1) As soils. By comparison to available metagenomes from other soils, geographic distance rather than As levels drove the different compositions of microbial communities. Arsenic significantly increased ars genes abundance only when its concentration was higher than 410 mg kg-1. In contrast, between low and high As soils, metatranscriptomics revealed a significant increase in transcription of ars and aioA genes, which are induced by arsenite, the dominant As species in paddy soils, but not arrA genes, which are induced by arsenate. These patterns appeared to be community-wide as opposed to taxon-specific. Collectively, our findings advance understanding of how microbes respond to high As levels and the diversity of As metabolism genes in paddy soils and indicated that future studies of As metabolism in soil, or other environments, should include the function (transcriptome) level. IMPORTANCEArsenic (As) is a toxic metalloid pervasively present in the environment. Microorganisms have evolved the capacity to metabolize As, and As metabolism genes are ubiquitously present in the environment even in the absence of high concentrations of As. However, these previous studies were carried out at the DNA level and thus, the activity of the As metabolism genes detected remains essentially speculative. Here, we show that the high As levels in paddy soils increased the transcriptional activity rather than the relative DNA abundance and diversity of As metabolism genes. These findings advance our understanding of how microbes respond to and cope with high As levels and have implications for better monitoring and managing an important toxic metalloid in agricultural soils and possibly other ecosystems.


2021 ◽  
Author(s):  
Si-Yu Zhang ◽  
Xiao Xiao ◽  
Song-Can Chen ◽  
Yong-Guan Zhu ◽  
Konstantinos T. Konstantinidis

Abstract BackgroundArsenic (As) is a toxic metalloid pervasively present in the environment. Microorganisms have evolved the capacity to metabolize As, and As metabolism genes are ubiquitously present in the environment even in the absence of high concentration of As. However, the As metabolism genes diversity, relative abundance, and transcriptional activity in response to different As levels remain unclear, limiting our understanding of the microbial activities that control the fate of an important environmental pollutant. To address this issue, we applied metagenomics and metatranscriptomics to paddy soils showing a gradient of As concentrations to investigate As resistance genes (ars), including arsR, acr3, arsB, arsC, arsM, arsI, arsP and arsH as well as energy-generating As respiratory oxidation (aioA) and reduction (arrA) genes.ResultsSomewhat unexpectedly, the relative DNA abundances and diversity of ars, aioA and arrA genes were not significantly different between low and high (~10 vs ~100 mg kg-1) As soils. By comparison to available metagenomes from other soils, geographic distance rather than As levels drove the different composition of microbial communities. Arsenic significantly increased ars genes abundance only when its concentration was higher than 410 mg kg -1. In contrast, between low and high (~10 vs ~100 mg kg-1) As soils, metatranscriptomics revealed a significant increase in transcription of ars and aioA genes, which are induced by arsenite, the dominant As species in paddy soils, but not arrA genes, which are induced by arsenate. Co-occurrence patterns of arsR, acr3, and arsM genes were revealed by network analysis corroborating that the arsR, acr3 and arsM genes are usually organized in a single ars operon. The transcriptome level response appeared to be community-wide as opposed to taxon-specific. ConclusionsHigh As levels increased the activity of As metabolism genes rather than their abundance or diversity in paddy soils. These findings advance understanding of how microbes respond to high As levels and the diversity of As metabolism genes in paddy soils, and indicated that future studies of As metabolism in soil, and likely other environments, should include the function (transcriptome) level.


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