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

被引:0
|
作者
Lee, Daniel [1 ]
Oliveira, Fernanda C. C. [2 ]
Conant, Richard T. [2 ]
Kim, Minjae [1 ]
机构
[1] Univ Kentucky, Civil Engn, Lexington, KY 40506 USA
[2] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
来源
DATA IN BRIEF | 2024年 / 57卷
关键词
Mineral-associated organic matter; Soil mineral mesocosms; Microbiome; Climate change;
D O I
10.1016/j.dib.2024.111125
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 20 0 0 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. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/)
引用
收藏
页数:6
相关论文
共 50 条
  • [11] metaSPARSim: a 16S rRNA gene sequencing count data simulator
    Ilaria Patuzzi
    Giacomo Baruzzo
    Carmen Losasso
    Antonia Ricci
    Barbara Di Camillo
    BMC Bioinformatics, 20
  • [12] metaSPARSim: a 16S rRNA gene sequencing count data simulator
    Patuzzi, Ilaria
    Baruzzo, Giacomo
    Losasso, Carmen
    Ricci, Antonia
    Di Camillo, Barbara
    BMC BIOINFORMATICS, 2019, 20 (Suppl 9)
  • [13] Processing human urine and ureteral stents for 16S rRNA amplicon sequencing
    Al, Kait F.
    Burton, Jeremy P.
    STAR PROTOCOLS, 2021, 2 (02):
  • [14] Influence of PCR cycle number on 16S rRNA gene amplicon sequencing of low biomass samples
    Witzke, Monica C.
    Gullic, Alexis
    Yang, Peggy
    Bivens, Nathan J.
    Adkins, Pamela R. F.
    Ericsson, Aaron C.
    JOURNAL OF MICROBIOLOGICAL METHODS, 2020, 176
  • [15] Looking for Rhizobacterial Ecological Indicators in Agricultural Soils Using 16S rRNA metagenomic Amplicon Data
    Valverde, Jose R.
    Gullon, Sonia
    Perez Mellado, Rafael
    PLOS ONE, 2016, 11 (10):
  • [16] Short Read Lengths Recover Ecological Patterns in 16S rRNA Gene Amplicon Data
    Jurburg, Stephanie D.
    MOLECULAR ECOLOGY RESOURCES, 2025,
  • [17] Analysis of 16S rRNA gene sequencing data for the taxonomic characterization of the vaginal and the fecal microbial communities in Hanwoo
    Choi, Soyoung
    Cha, Jihye
    Song, Minji
    Son, JuHwan
    Park, Mi-Rim
    Lim, Yeong-jo
    Kim, Tae -Hun
    Lee, Kyung-Tai
    Park, Woncheoul
    ANIMAL BIOSCIENCE, 2022, 35 (11) : 1808 - 1816
  • [18] Bacterial Community Profile of Bovine Mastitis Infected Dairy Cow Milk by 16S rRNA Amplicon Sequencing
    Sabarish, Sasikumar
    Dhanasekaran, Dharumadurai
    INDIAN JOURNAL OF MICROBIOLOGY, 2024,
  • [19] Enzymatic Activity and Microbial Diversity of Sod-Podzolic Soil Microbiota Using 16S rRNA Amplicon Sequencing following Antibiotic Exposure
    Trifonova, Tatiana
    Kosmacheva, Anastasia
    Sprygin, Alexander
    Chesnokova, Svetlana
    Byadovskaya, Olga
    ANTIBIOTICS-BASEL, 2021, 10 (08):
  • [20] Microbiome Shift, Diversity, and Overabundance of Opportunistic Pathogens in Bovine Digital Dermatitis Revealed by 16S rRNA Amplicon Sequencing
    Espiritu, Hector M.
    Mamuad, Lovelia L.
    Kim, Seon-ho
    Jin, Su-jeong
    Lee, Sang-suk
    Kwon, Seok-won
    Cho, Yong-il
    ANIMALS, 2020, 10 (10): : 1 - 9