Microbial community assembly across agricultural soil mineral mesocosms revealed by 16S rRNA gene amplicon sequencing data

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Daniel Lee , Fernanda C C Oliveira , Richard T. Conant , Minjae Kim
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引用次数: 0

Abstract

Increasing atmospheric carbon dioxide (CO2) concentrations are impacting the global climate, resulting in significant interest in soil carbon sequestration as a mitigation strategy. While recognized that mineral-associated organic matter (MAOM) in soils is mainly formed through microbial activity, our understanding of microbial-derived MAOM formation processes remains limited due to the complexity of the soil environment. To gain insights into this issue, we incubated fresh soil samples for 45 days with one of three mineral additions: Sand, Kaolinite+Sand, or Illite+Sand. 16S rRNA V3/V4 gene amplicon sequencing was then conducted on samples using an Illumina NextSeq 2000 flow cell. The reads were analyzed and taxonomically assigned with QIIME2 v2023.5.1 and SILVA 138. The dataset has been made publicly available through NCBI GenBank under BioProject ID PRJNA1124235. This dataset is important and useful as it provides valuable insights into the interactions between soil minerals and microbial communities, which can inform strategies for enhancing soil carbon sequestration and mitigating climate change. Moreover, it serves as a crucial reference for future studies, offering a foundational understanding of microbial dynamics in soil systems and guiding further research in microbial ecology and carbon cycling.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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