Affiliations 

  • 1 Department of Biological Science, College of Natural Sciences, Seoul National University, Seoul, 151-742, Korea
  • 2 Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK
  • 3 Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture CENA, University of Sao Paulo - USP. Av. Centenário, 303, CEP 13400-970 Piracicaba (SP), Brazil
  • 4 Arctic Research Center, Korea Polar Research Institute, Incheon, 406-840, Korea
  • 5 Celemics Inc., 19F, Bldg. A, BYC High city, 131, Gasandigital 1-ro, Geumcheon-gu, Seoul, 153-718, Korea
Mol Ecol, 2016 May;25(10):2244-57.
PMID: 26994316 DOI: 10.1111/mec.13620

Abstract

Selective logging and forest conversion to oil palm agriculture are rapidly altering tropical forests. However, functional responses of the soil microbiome to these land-use changes are poorly understood. Using 16S rRNA gene and shotgun metagenomic sequencing, we compared composition and functional attributes of soil biota between unlogged, once-logged and twice-logged rainforest, and areas converted to oil palm plantations in Sabah, Borneo. Although there was no significant effect of logging history, we found a significant difference between the taxonomic and functional composition of both primary and logged forests and oil palm. Oil palm had greater abundances of genes associated with DNA, RNA, protein metabolism and other core metabolic functions, but conversely, lower abundance of genes associated with secondary metabolism and cell-cell interactions, indicating less importance of antagonism or mutualism in the more oligotrophic oil palm environment. Overall, these results show a striking difference in taxonomic composition and functional gene diversity of soil microorganisms between oil palm and forest, but no significant difference between primary forest and forest areas with differing logging history. This reinforces the view that logged forest retains most features and functions of the original soil community. However, networks based on strong correlations between taxonomy and functions showed that network complexity is unexpectedly increased due to both logging and oil palm agriculture, which suggests a pervasive effect of both land-use changes on the interaction of soil microbes.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.