The microbial network in naturally fertile paddy soil possibly facilitates functional recruitment in the rice mature stage

Luo, Xuesong; Han, Shun; Fu, Xiaoqian; Li, Xiang; Wang, Li; Peng, Shaobing; Chen, Wenli; Huang, Qiaoyun

doi:10.1016/j.apsoil.2018.12.008

Cited by 18 publications

(5 citation statements)

References 35 publications

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“…The values of the optimal partition index (Q) measure the density of ties inside modules compared to ties between modules [ 54 ]. An architecture is considered modular if the modularity coefficient Q is greater than 0.4 [ 55 ].…”

Section: Methodsmentioning

confidence: 99%

Fire and Rhizosphere Effects on Bacterial Co-Occurrence Patterns

Papatheodorou¹,

Papakostas

Stamou³

2023

Microorganisms

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Fires are common in Mediterranean soils and constitute an important driver of their evolution. Although fire effects on vegetation dynamics are widely studied, their influence on the assembly rules of soil prokaryotes in a small-scale environment has attracted limited attention. In the present study, we reanalyzed the data from Aponte et al. (2022) to test whether the direct and/or indirect effects of fire are reflected in the network of relationships among soil prokaryotes in a Chilean sclerophyllous ecosystem. We focused on bacterial (genus and species level) co-occurrence patterns in the rhizospheres and bulk soils in burned and unburned plots. Four soils were considered: bulk-burnt (BB), bulk-unburnt (BU), rhizosphere-burnt (RB), and rhizosphere-unburnt (RU). The largest differences in network parameters were recorded between RU and BB soils, while RB and BU networks exhibited similar values. The network in the BB soil was the most compact and centralized, while the RU network was the least connected, with no central nodes. The robustness of bacterial communities was enhanced in burnt soils, but this was more pronounced in BB soil. The mechanisms mainly responsible for bacterial community structure were stochastic in all soils, whether burnt or unburnt; however, communities in RB were much more stochastic than in RU.

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Section: Methodsmentioning

confidence: 99%

Fire and Rhizosphere Effects on Bacterial Co-Occurrence Patterns

Papatheodorou¹,

Papakostas

Stamou³

2023

Microorganisms

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“… 29 The q PCR was performed on an ABI QuantStudio 3 (Version 1.4.1 software, Applied Biosystems, USA), and each sample was duplicated. 30 …”

Section: Methodsmentioning

confidence: 99%

Response of chlorinated hydrocarbon transformation and microbial community structure in an aquifer to joint H₂ and O₂

Chen

Liu

et al. 2022

RSC Adv.

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“…According to the difference in the yield of P. edulis forests, they can be divided into high-yield forest and low-yield forest. The standing bamboo density of high-yield P. edulis forests is generally more than 1.5 times that of low-yield forests 7 . The yield of single-stage bamboo (every 2 years) and bamboo shoots in the high-yield forest was more than twice that of the low-yield forest 7 .…”

Section: Introductionmentioning

confidence: 96%

“…The standing bamboo density of high-yield P. edulis forests is generally more than 1.5 times that of low-yield forests 7 . The yield of single-stage bamboo (every 2 years) and bamboo shoots in the high-yield forest was more than twice that of the low-yield forest 7 . The average DBH of bamboo stems was also larger than that of low-yielding forests 8 .…”

Section: Introductionmentioning

confidence: 96%

Effects of high- and low-yield moso bamboo (Phyllostachys edulis) forests on bacterial community structure

Liu

Yuan

Zeng

et al. 2023

Sci Rep

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To study the characteristics of bacterial community structure in high-yield and low-yield moso bamboo (Phyllostachys edulis) forests, we collected bamboo rhizome, rhizome root, stem, leaf, rhizosphere soil, and non-rhizosphere soil from high- and low-yield forests in Yong'an City and Jiangle County of Fujian Province, China. The genomic DNA of the samples was extracted, sequenced and analyzed. The results show that: the common differences between the high-yield and low-yield P. edulis forest samples in the two regions were mainly in bacterial community compositions in the bamboo rhizome, rhizome root, and soil samples. Differences in the bacterial community compositions in the stem and leaf samples were insignificant. The bacterial species and diversity in rhizome root and rhizosphere soil of high-yield P. edulis forests were less than those of low-yield forests. The relative abundance of Actinobacteria and Acidobacteria in rhizome root samples of high-yield forests was higher than that in low-yield forests. The relative abundance of Rhizobiales and Burkholderiales in bamboo rhizome samples in high-yield forests was higher than that in low-yield forests. The relative abundance of Bradyrhizobium in bamboo rhizome samples in high-yield forests was higher than that in low-yield forests in the two regions. The change of bacterial community composition in P. edulis stems and leaves showed little correlation with high- or low-yields of P. edulis forests. Notably, the bacterial community composition of the rhizome root system was correlated with the high yield of bamboo. This study provides a theoretical basis for using of microbes to enhance the yields of P. edulis forests.

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The microbial network in naturally fertile paddy soil possibly facilitates functional recruitment in the rice mature stage

Cited by 18 publications

References 35 publications

Fire and Rhizosphere Effects on Bacterial Co-Occurrence Patterns

Fire and Rhizosphere Effects on Bacterial Co-Occurrence Patterns

Response of chlorinated hydrocarbon transformation and microbial community structure in an aquifer to joint H₂ and O₂

Effects of high- and low-yield moso bamboo (Phyllostachys edulis) forests on bacterial community structure

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The microbial network in naturally fertile paddy soil possibly facilitates functional recruitment in the rice mature stage

Cited by 18 publications

References 35 publications

Fire and Rhizosphere Effects on Bacterial Co-Occurrence Patterns

Fire and Rhizosphere Effects on Bacterial Co-Occurrence Patterns

Response of chlorinated hydrocarbon transformation and microbial community structure in an aquifer to joint H2 and O2

Effects of high- and low-yield moso bamboo (Phyllostachys edulis) forests on bacterial community structure

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Response of chlorinated hydrocarbon transformation and microbial community structure in an aquifer to joint H₂ and O₂