Comparison of community structures of microbiota at main habitats in rice field ecosystems based on phospholipid fatty acid analysis

Kimura, Makoto; Asakawa, Susumu

doi:10.1007/s00374-005-0057-2

Cited by 49 publications

(29 citation statements)

References 19 publications

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“…The fatty acid nomenclature described by Frostegård et al [34,35] was used. The 10:0, 11:0, 12:0, 13:0, 14:0, 15:0, 16:0, 17:0, 18:0, and 26:0 fatty acids were chosen to represent the general bacterial PLFAs [36,37]; gram-positive (G þ ) bacteria were identified by using the PLFAs a14:0, i15:0, a16:0, i16:0, and i17:0 [38,39]; G À were identified by using the PLFAs 16:1u7c, 16:1u9c, cy16:0, 18:lu11t, 18:lu9c, and cy18:0 [37,40]; and 18:2u9,12t was used as an indicator of fungal PLFA [41]. Monounsaturated fatty acids (MONO) were chosen to represent fungi and G À , and normal saturated fatty acids (SAT) were used as indicators of the general bacterial and G þ communities.…”

Section: Plfas Of the Soil Microorganismsmentioning

confidence: 99%

Urea addition and litter manipulation alter plant community and soil microbial community composition in a Kobresia humilis meadow

Wang

Yong

et al. 2015

European Journal of Soil Biology

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Section: Plfas Of the Soil Microorganismsmentioning

confidence: 99%

Urea addition and litter manipulation alter plant community and soil microbial community composition in a Kobresia humilis meadow

Wang

Yong

et al. 2015

European Journal of Soil Biology

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“…Several [23][24][25]. All of the PLFAs mentioned above were used to calculate the total PLFAs of each soil microbial community.…”

Section: Measurement Of Soil Physicochemical Propertiesmentioning

confidence: 99%

Soil Microbial Community Composition in Four Nothotsuga longibracteata Forests in Southern China

Shihong

Zhang

Wang

et al. 2018

Pol. J. Environ. Stud.

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Soil microbial communities play a vital role in soil carbon and carbon sequestration in forest ecosystems. In this study, soils were sampled in Tianbaoyan National Nature Reserve in southeastern China from four Nothotsuga longibracteata forests, including a pure N. longibracteata forest (NF), N. longibracteata + hardwood mixed forest (NHF), N. longibracteata + Rhododendron simiarum mixed forest (NRF), and N. longibracteata + Phyllostachys pubescens mixed forest (NPF). Our objective was to precisely quantify soil physicochemical properties, microbial biomass, microbial communities, and to evaluate their interrelationships. We used biochemical measurements, a fumigation-extraction method, and phospholipid fatty acid (PLFA) analysis method to show that -except for pH and soil bulk density (SBD) -soil physicochemical properties differed markedly among the forest types. Microbial biomass carbon (MBC) and nitrogen (MBN) were highest in NHF soils, while the ratio of microbial biomass carbon to nitrogen (MBC:MBN) was highest in NRF and NPF soils. Moreover, the microbial communities of the four forest types exhibited distinct profiles: the highest total PLFA content and content of Grampositive bacteria (Gram(+)), Gram-negative bacteria(Gram(-)), and fungi were found in NRF. Additionally, NHF soil exhibited the highest actinomycetes content, while the highest protozoal content was found in NF soil. The analysis of individual PLFAs using principal component analysis (PCA) demonstrated a clear association of distinct soil PFLA characteristics for each forest type. In conclusion, the soil microbial community structure can be significantly influenced by changes in soil organic carbon (SOC) and MBN. Comparing soil microbial properties in different N. longibracteata forests can help us understand the influence of forest types on the structure of microbiota within a system.

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“…Soil dryingrewetting (DW) is a common environmental disturbance in agricultural practices exemplified by the frequencies and intensities of irrigation (Shi and Marschner, 2014). Moreover, dry-wet alternations are frequently encountered in paddy soils in different seasons, where the field is maintained under flooded conditions in the crop-growing season and under drained conditions in the off-crop season (Kimura and Asakama, 2006). The significant changes in soil conditions due to DW alternations might considerably affect the soil-dwelling microorganisms, which are essential to the sustainability of ecosystem functioning and services.…”

Section: Introductionmentioning

confidence: 99%

Copper pollution decreases the resistance of soil microbial community to subsequent dry–rewetting disturbance

Wang

et al. 2016

Journal of Environmental Sciences

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Dry-rewetting (DW) disturbance frequently occurs in soils due to rainfall and irrigation, and the frequency of DW cycles might exert significant influences on soil microbial communities and their mediated functions. However, how microorganisms respond to DW alternations in soils with a history of heavy metal pollution remains largely unknown.Here, soil laboratory microcosms were constructed to explore the impacts of ten DW cycles on the soil microbial communities in two contrasting soils (fluvo-aquic soil and red soil) under three copper concentrations (zero, medium and high). Results showed that the fluctuations of substrate induced respiration (SIR) decreased with repeated cycles of DW alternation. Furthermore, the resistance values of substrate induced respiration (RS-SIR) were highest in non-copper-stressed (zero) soils. Structural equation model (SEM) analysis ascertained that the shifts of bacterial communities determined the changes of RS-SIR in both soils. The rate of bacterial community variance was significantly lower in noncopper-stressed soil compared to the other two copper-stressed (medium and high) soils, which might lead to the higher RS-SIR in the fluvo-aquic soil. As for the red soil, the substantial increase of the dominant group WPS-2 after DW disturbance might result in the low RS-SIR in the high copper-stressed soil. Moreover, in both soils, the bacterial diversity was highest in non-copper-stressed soils. Our results revealed that initial copper stress could decrease the resistance of soil microbial community structure and function to subsequent DW disturbance.

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Comparison of community structures of microbiota at main habitats in rice field ecosystems based on phospholipid fatty acid analysis

Cited by 49 publications

References 19 publications

Urea addition and litter manipulation alter plant community and soil microbial community composition in a Kobresia humilis meadow

Urea addition and litter manipulation alter plant community and soil microbial community composition in a Kobresia humilis meadow

Soil Microbial Community Composition in Four Nothotsuga longibracteata Forests in Southern China

Copper pollution decreases the resistance of soil microbial community to subsequent dry–rewetting disturbance

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