Organic matter chemistry and bacterial community structure regulate decomposition processes in post-fire forest soils

Lu, Ling; Fu, Yingyi; Jeewani, Peduruhewa H.; Tang, Caixian; Pan, Shangzhi; Reid, Brian J.; Gunina, Anna; Li, Yongfu; Cai, Yanjiang; Kuzyakov, Yakov; Li, Yong; Su, Weiqin; Singh, Bhupinder; Luo, Yu; Xu, Jia‐Zhuang

doi:10.1016/j.soilbio.2021.108311

Cited by 68 publications

(19 citation statements)

References 82 publications

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“…Ignavibacteriae were reported to be core populations that endowed the bacterial community with stronger dechlorination and phenol-degradation abilities [60]. Not only are Firmicutes able to withstand resource stress via the formation of endospores, but they are also able to adapt to resource-rich conditions [61]. A recent freshwater metagenomic study of 19 Verrucomicrobia suggest that members of this phylum act as polysaccharide degraders in freshwater systems [62].…”

Section: Human Activity Increase Triggers Keystone Species Changementioning

confidence: 99%

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Wang

Devlin

et al. 2021

Microorganisms

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Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes in microbial networks could have implications for their functionality and vulnerability to future disturbances. Here, we compare the spatiotemporal and biogeographical patterns of bacterioplankton molecular ecological networks using high-throughput sequencing of Illumina HiSeq and multivariate statistical analyses from a subtropical river during wet and dry seasons. Results demonstrated that the lower reaches (high human activity intensity) network had less of an average degree (10.568/18.363), especially during the dry season, when compared with the upper reaches (low human activity intensity) network (10.685/37.552) during the wet and dry seasons, respectively. The latter formed more complexity networks with more modularity (0.622/0.556) than the lower reaches (high human activity intensity) network (0.505/0.41) during the wet and dry seasons, respectively. Bacterioplankton molecular ecological network under high human activity intensity became significantly less robust, which is mainly caused by altering of the environmental conditions and keystone species. Human activity altered the composition of modules but preserved their ecological roles in the network and environmental factors (dissolved organic carbon, temperature, arsenic, oxidation–reduction potential and Chao1 index) were the best parameters for explaining the variations in bacterioplankton molecular ecological network structure and modules. Proteobacteria, Actinobacteria and Bacteroidetes were the keystone phylum in shaping the structure and niche differentiations in the network. In addition, the lower reaches (high human activity intensity) reduce the bacterioplankton diversity and ecological niche differentiation, which deterministic processes become more important with increased farmland and constructed land area (especially farmland) with only 35% and 40% of the community variation explained by the neutral community model during the wet season and dry season, respectively. Keystone species in high human activity intensity stress habitats yield intense functional potentials and Bacterioplankton communities harbor keystone taxa in different human activity intensity stress habitats, which may exert their influence on microbiome network composition regardless of abundance. Therefore, human activity plays a crucial role in shaping the structure and function of bacterioplankton molecular ecological networks in subtropical rivers and understanding the mechanisms of this process can provide important information about human–water interaction processes, sustainable uses of freshwater as well as watershed management and conservation.

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Section: Human Activity Increase Triggers Keystone Species Changementioning

confidence: 99%

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Wang

Devlin

et al. 2021

Microorganisms

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“…Microbial degradation phases are characterised by different microbial groups with varying rates of decay from rapid to slow (Bani et al, 2018; Preston et al, 2009). Thus, composition fractions of soil organic matter are correlated to microbial community structure (Ling et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Distribution of soil bacteria involved in C cycling across extensive environmental and pedogenic gradients

Xue

Minasny

McBratney

et al. 2023

European J Soil Science

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Microorganisms play pivotal roles in soil processes. Metabolically related microorganisms constitute functional groups, and diverse microbial functional groups control nutrient cycling in soils. This study explored environmental (i.e., rainfall, temperature) and soil factors driving the distribution of bacterial functional groups involved in soil carbon (C) cycling in paired natural and agricultural ecosystems. Soil samples were collected at a regional scale covering gradients of temperature and rainfall across two orthogonal transects (~1000 km) in New South Wales, Australia. Putative functions of bacteria were linked to two soil C fractions: particulate organic carbon (POC) and mineral‐associated organic carbon (MAOC). We found: (i) temperature and rainfall were important drivers of bacterial functional groups, while soil properties, such as pH, soil C and nitrogen (N), also presented significant contributions; (ii) community structure of bacteria involved in C cycling was mainly related to POC content but not to MAOC; (iii) paired sampling showed that agricultural practices had significant impacts on the composition and responses of soil bacterial functional groups. This study demonstrated the environmental regulation (e.g., temperature and rainfall) of soil microbial functional groups at large scales, which was altered by agricultural practices. Highlights Soil bacteria involved in C cycling were investigated across two ~1000 km transects. Temperature and rainfall were important drivers of bacterial functional groups at large scale. Paired sampling showed that agriculture led to a significant shift in bacterial functional groups. Community structure of bacterial functional groups were correlated with soil POC but not MAOC.

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“…Soil OC characteristics, namely the proportions of different C functional groups (e.g., alkyl C, O‐alkyl C, aryl C and carboxyl C) may also be important in shaping microbial community composition. Microbial utilization of SOM is not only dependent on the availability of OC but also by the affinity of the microbial community to different soil OC sources (Ling et al, 2021). Labile OC (e.g., O‐alkyl C) can be preferentially consumed by fast‐growing microorganisms with high nutritional requirements.…”

Section: Introductionmentioning

confidence: 99%

“…Such fast‐growing microorganisms can maximise their growth when their favourite resources are abundant, while other microorganisms utilise recalcitrant OC (e.g., alkyl C) and their relative abundance may increase when labile OC resources are limited (Fontaine et al, 2003). Despite the recent studies on variations in soil OC functional groups (Bahadori et al, 2021) and microbial community structure (Guo et al, 2020) across different land uses, only a few studies have investigated the interactions between these two areas (Ling et al, 2021; Ng et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Soil organic matter and geochemical characteristics shape microbial community composition and structure across different land uses in an Australian wet tropical catchment

et al. 2022

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Soil characteristics vary across land uses, and soil microbial communities are likely to respond to such variations. However, such responses are not well understood. In this study, we examined how specific changes in soil organic matter (SOM) and geochemical characteristics influenced the bacterial and fungal community composition and structure across land uses. Soil samples were collected from grazing, sugarcane, forest and banana land uses in the Johnstone River catchment (wet tropics), northeastern Australia. High-throughput sequencing of 16S rRNA gene and ITS amplicons were employed to characterise soil bacterial and fungal communities, respectively. Bacterial and fungal α-diversity did not differ across land uses, whereas strong shifts in their community composition and structure were evident. Patterns in microbial community composition were strongly (p < 0.01) associated with changes in soil total organic carbon and nitrogen (TOC and TN), TOC:TN ratio, hot-water extractable organic carbon (HWEOC) and soil geochemical characteristics (e.g., pH, Co, Mn, K, Mg and P contents). Distinct bacterial community composition was observed in forest soils, while fungal communities were similar in banana and forest soils compared with sugarcane and grazing. Overall, our results showed that SOM characteristics were the major driver on structuring soil microbial communities across land uses, while soil bacterial communities were more sensitive to variations in SOM and geochemical characteristics compared with fungi. Results from this study have implications for developing more targeted management practices across different land uses to improve soil health and ecosystem function in a wet tropical area.

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Organic matter chemistry and bacterial community structure regulate decomposition processes in post-fire forest soils

Cited by 68 publications

References 82 publications

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Distribution of soil bacteria involved in C cycling across extensive environmental and pedogenic gradients

Soil organic matter and geochemical characteristics shape microbial community composition and structure across different land uses in an Australian wet tropical catchment

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