The drivers underlying biogeographical patterns of bacterial communities in soils under sugarcane cultivation

Durrer, Ademir; Gumiere, Thiago; Taketani, Rodrigo Gouvêa; Costa, Diogo Paes da; Silva, Michele de Cássia Pereira e; Andreote, Fernando Dini

doi:10.1016/j.apsoil.2016.11.005

Cited by 45 publications

(28 citation statements)

References 51 publications

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“…For the bacterial network, positive associations between members of Proteobacteria and Actinobacteria as well as between members of Acidobacteria and Planctomycetes might indicate their interdependencies or consistent responses to similar environmental conditions (Eiler et al., ). An opposite result was described in agricultural soils, where Actinobacteria had a negative correlation with Proteobacteria (Durrer et al., ). This indicates that interaction patterns might vary among different habitats containing other indigenous groups.…”

Section: Discussionmentioning

confidence: 88%

“…The topological properties of the network (e.g., complexity and modularity) likely indicate the stability of the community or its functional diversity (Coux, Rader, Bartomeus, & Tylianakis, ; Dickie, Cooper, Bufford, Hulme, & Bates, ). However, very few attempts have been made to link co‐occurrence network patterns with the variation in community structure or function at large spatial scales (Barberan, Bates, Casamayor, & Fierer, ; Durrer et al., ). Thus, with a variety of abiotic factors and complicated biotic interactions, similar environmental conditions across broad spatial scales can be a valuable material for studying the different ecological processes that shape community assembly and the difference in dispersal potential among taxonomic groups, such as bacteria and fungi.…”

Section: Introductionmentioning

confidence: 99%

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Fungal community reveals less dispersal limitation and potentially more connected network than that of bacteria in bamboo forest soils

et al. 2017

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A central aim of this microbial ecology research was to investigate the mechanisms shaping the assembly of soil microbial communities. Despite the importance of bacterial and fungal mediation of carbon cycling in forest ecosystems, knowledge concerning their distribution patterns and underlying mechanisms remains insufficient. Here, soils were sampled from six bamboo forests across the main planting area of Moso bamboo in southern China. The bacterial and fungal diversities were assessed by sequencing 16S rRNA and ITS gene amplicons, respectively, with an Illumina MiSeq. Based on structural equation modelling, dispersal limitation had strongest impact on bacterial beta diversity, while the mean annual precipitation had a smaller impact by directly or indirectly mediating the soil organic carbon density. However, only the mean annual temperature and precipitation played direct roles in fungal beta diversity. Moreover, the co-occurrence network analyses revealed a possibly much higher network connectivity in the fungal network than in the bacteria. With less dispersal limitation, stronger environmental selection and a potentially more connected network, the fungal community had more important roles in the soil carbon metabolisms in bamboo forests. Fungal beta diversity and the clustering coefficient explained approximately 14.4% and 6.1% of the variation in the carbon metabolic profiles among sites, respectively, but that of bacteria only explained approximately 1.7% and 1.8%, respectively. This study explored soil microbial spatial patterns along with the underlying mechanisms of dispersal limitation, selection and connectivity of ecological networks, thus providing novel insights into the study of the distinct functional traits of different microbial taxa.

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Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Fungal community reveals less dispersal limitation and potentially more connected network than that of bacteria in bamboo forest soils

et al. 2017

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“…E recentemente, um estudo comparou as diferenças na estrutura e na abundância da comunidade bacteriana e fúngica em diferentes partes da cana-de-açúcar e analisou a microbiota do solo, concluindo que o solo serve como um reservatório de organismos que colonizam a planta (SOUZA et al, 2016). Outros estudos mostram a visão da distribuição biogeográfica de bactérias (DURRER et al, 2017) e de fungos (GUMIERE et al, 2016) de solos cultivados com cana-de-açúcar, afirmando que existe uma variação no perfil de sua comunidade ao longo de uma distribuição espacial, sendo um dos fatores de influencia a classe textural do solo.…”

Section: Compactação Do Solounclassified

“…Outro trabalho realizado com várias áreas produtoras de cana-de-açúcar mostrou que a estrutura da comunidade bacteriana em solos agrícolas é modulada pelas alterações de fatores químicos e de manejo, o que os autores se referem como interferência antropogênica (DURRER et al, 2017). Nossos dados relatam que houve diferença significativa na estrutura da comunidade bacteriana com apenas dois anos de interrupção do tráfego intenso de maquinários, sendo essas mudanças correlacionadas positivamente com atributos físicos do solo, mostrando relação com resultados obtidos em trabalhos anteriores.…”

Section: Análise Da Estrutura Da Comunidade Microbianaunclassified

“…Em relação a abundância de bactérias em solos cultivados com cana-de-açúcar, a variação entre as áreas produtoras foi de 8,1 a 10,6, também não encontrando correlação significativa na quantificação do 16S DNAr com propriedades físicas e químicas do solo (DURRER et al, 2017). Considerando a diferença no manejo da cana-de-açúcar, comparando a colheita da cana crua com a cana queimada, também não houve diferença significativa da abundância da comunidade bacteriana entre os manejos (RACHID et al, 2013).…”

Section: Análise Da Abundância Das Comunidades Microbianasunclassified

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A interface entre a física e os aspectos microbiológicos do solo

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Interpreting distance‐decay pattern of soil bacteria via quantifying the assembly processes at multiple spatial scales

et al. 2019

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It has been widely accepted that there is a distance‐decay pattern in the soil microbiome. However, few studies have attempted to interpret the microbial distance‐decay pattern from the perspective of quantifying underlying processes. In this study, we examined the processes governing bacterial community assembly at multiple spatial scales in maize fields of Northeast China using Illumina MiSeq sequencing. Results showed that the processes governing spatial turnover in bacterial community composition shifted regularly with spatial scale, with homogenizing dispersal dominating at small spatial scales and variable selection dominating at larger scales, which in turn explained the distance‐decay pattern that closer located sites tended to have higher community similarity. Together, homogenizing dispersal and dispersal limitation resulting from geographic factors governed about 33% of spatial turnover in bacterial community composition. Deterministic selection processes had the strongest influence, at 57%, with biotic factors and abiotic environmental filtering (mainly imposed by soil pH) respectively contributing about 37% and 63% of variation. Our results provided a novel and comprehensive way to explain the distance‐decay pattern of soil microbiome via quantifying the assembly processes at multiple spatial scales, as well as the method to quantify the influence of abiotic, biotic, and geographic factors in shaping microbial community structure, thus enabling understanding of widely acknowledged microbial biogeographic patterns and microbial ecology.

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The drivers underlying biogeographical patterns of bacterial communities in soils under sugarcane cultivation

Cited by 45 publications

References 51 publications

Fungal community reveals less dispersal limitation and potentially more connected network than that of bacteria in bamboo forest soils

Fungal community reveals less dispersal limitation and potentially more connected network than that of bacteria in bamboo forest soils

A interface entre a física e os aspectos microbiológicos do solo

Interpreting distance‐decay pattern of soil bacteria via quantifying the assembly processes at multiple spatial scales

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