Genome-resolved carbon processing potential of tropical peat microbiomes from an oil palm plantation

Sci Data. 2023 Jun 8;10(1):373. doi: 10.1038/s41597-023-02267-z.

Abstract

Tropical peatlands in South-East Asia are some of the most carbon-dense ecosystems in the world. Extensive repurposing of such peatlands for forestry and agriculture has resulted in substantial microbially-driven carbon emissions. However, we lack an understanding of the microorganisms and their metabolic pathways involved in carbon turnover. Here, we address this gap by reconstructing 764 sub-species-level genomes from peat microbiomes sampled from an oil palm plantation located on a peatland in Indonesia. The 764 genomes cluster into 333 microbial species (245 bacterial and 88 archaeal), of which, 47 are near-complete (completeness ≥90%, redundancy ≤5%, number of unique tRNAs ≥18) and 170 are substantially complete (completeness ≥70%, redundancy ≤10%). The capacity to respire amino acids, fatty acids, and polysaccharides was widespread in both bacterial and archaeal genomes. In contrast, the ability to sequester carbon was detected only in a few bacterial genomes. We expect our collection of reference genomes to help fill some of the existing knowledge gaps about microbial diversity and carbon metabolism in tropical peatlands.

Publication types

  • Dataset

MeSH terms

  • Agriculture
  • Carbon* / analysis
  • Ecosystem*
  • Indonesia
  • Microbiota
  • Soil* / chemistry

Substances

  • Carbon
  • Soil