Literature DB >> 23337029

Shifts in soil bacterial community after eight years of land-use change.

Afnan Khalil Ahmad Suleiman1, Lupatini Manoeli, Juliano Tomazzoni Boldo, Marcos G Pereira, Luiz Fernando Wurdig Roesch.   

Abstract

The interaction between plants, soil and microorganisms is considered to be the major driver of ecosystem functions and any modification of plant cover and/or soil properties might affect the microbial structure, which, in turn, will influence ecological processes. Assuming that soil properties are the major drivers of soil bacterial diversity and structure within the same soil type, it can be postulated whether plant cover causes significant shifts in soil bacterial community composition. To address this question, this study used 16S rRNA pyrosequencing to detect differences in diversity, composition and/or relative abundance of bacterial taxa from an area covered by pristine forest, as well as eight-year-old grassland surrounded by the same forest. It was shown that a total of 69% of the operational taxonomic units (OTUs) were shared between environments. Overall, forest and grassland samples presented the same diversity and the clustering analysis did not show the occurrence of very distinctive bacterial communities between environments. However, 11 OTUs were detected in statistically significant higher abundance in the forest samples but in lower abundance in the grassland samples, whereas 12 OTUs occurred in statistically significant higher abundance in the grassland samples but in lower abundance in the forest samples. The results suggested the prevalence of a resilient core microbial community that did not suffer any change related to land use, soil type or edaphic conditions. The results illustrated that the history of land use might influence present-day community structure.
Copyright © 2012 Elsevier GmbH. All rights reserved.

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Year:  2013        PMID: 23337029     DOI: 10.1016/j.syapm.2012.10.007

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


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