Soil bacterial community structures in relation to different oil palm management practices

Author:

Berkelmann Dirk,Schneider DominikORCID,Hennings Nina,Meryandini Anja,Daniel RolfORCID

Abstract

AbstractWe provide soil bacterial 16 S rRNA gene amplicon and geochemical data derived from an oil palm plantation management experiment. The experimental design covered two different intensities of fertilizer application and weeding practices. We sampled the topsoil of 80 plots in total and extracted DNA and RNA. 16 S rRNA gene-derived and transcript-derived amplicons were generated and sequenced to analyse community composition and beta-diversity. One year after establishing the experiment, statistically significant differences of bacterial diversity or community composition between different treatments at entire (DNA-derived) and active (RNA-derived) community level were not detected. The dominant taxa belonged to Acidobacteriota and Actinobacteriota and were more abundant in the active community compared to the entire community. Similarly, the abundant genera Candidatus Solibacter and Haliangium were more abundant at active community level. Furthermore, clustering corresponding to the different sampling site locations was detected. Beta-diversity did not change among the treatments at DNA and RNA level. This dataset is of interest for related studies on the effect of altered management practices on soilborne communities.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3