PCR primers to study the diversity of expressed fungal genes encoding lignocellulolytic enzymes in soils using high-throughput sequencing

PLoS One. 2014 Dec 29;9(12):e116264. doi: 10.1371/journal.pone.0116264. eCollection 2014.

Abstract

Plant biomass degradation in soil is one of the key steps of carbon cycling in terrestrial ecosystems. Fungal saprotrophic communities play an essential role in this process by producing hydrolytic enzymes active on the main components of plant organic matter. Open questions in this field regard the diversity of the species involved, the major biochemical pathways implicated and how these are affected by external factors such as litter quality or climate changes. This can be tackled by environmental genomic approaches involving the systematic sequencing of key enzyme-coding gene families using soil-extracted RNA as material. Such an approach necessitates the design and evaluation of gene family-specific PCR primers producing sequence fragments compatible with high-throughput sequencing approaches. In the present study, we developed and evaluated PCR primers for the specific amplification of fungal CAZy Glycoside Hydrolase gene families GH5 (subfamily 5) and GH11 encoding endo-β-1,4-glucanases and endo-β-1,4-xylanases respectively as well as Basidiomycota class II peroxidases, corresponding to the CAZy Auxiliary Activity family 2 (AA2), active on lignin. These primers were experimentally validated using DNA extracted from a wide range of Ascomycota and Basidiomycota species including 27 with sequenced genomes. Along with the published primers for Glycoside Hydrolase GH7 encoding enzymes active on cellulose, the newly design primers were shown to be compatible with the Illumina MiSeq sequencing technology. Sequences obtained from RNA extracted from beech or spruce forest soils showed a high diversity and were uniformly distributed in gene trees featuring the global diversity of these gene families. This high-throughput sequencing approach using several degenerate primers constitutes a robust method, which allows the simultaneous characterization of the diversity of different fungal transcripts involved in plant organic matter degradation and may lead to the discovery of complex patterns in gene expression of soil fungal communities.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Base Sequence
  • DNA Primers / metabolism*
  • DNA, Complementary / genetics
  • DNA, Fungal / genetics
  • Fungi / enzymology*
  • Fungi / genetics
  • Genes, Fungal*
  • Genetic Variation*
  • High-Throughput Nucleotide Sequencing / methods*
  • Lignin / metabolism*
  • Molecular Sequence Data
  • Phylogeny
  • Polymerase Chain Reaction*
  • Soil Microbiology*

Substances

  • DNA Primers
  • DNA, Complementary
  • DNA, Fungal
  • lignocellulose
  • Lignin

Associated data

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Grants and funding

Florian Barbi was supported by a PhD grant from the French “Ministère de l'Enseignement Supérieur et de la Recherche”. Claudia Bragalini was supported by a PhD grant from the University of Turin (Italy) and a CMIRA (Coopération et Mobilité Internationales Rhône-Alpes) fellowship from the French county Rhône-Alpes. The work was financed by the French Research foundation CNRS-INSU (Centre National de la Recherche Scientifique – Institut National des Sciences de l'Univers) through an “Ecosphère Continentale et Côtière” program (EC2CO MicrobiEn 2013) and an “Agence Nationale de la Recherche” project (ANR 09-GENM-033-001/Eumetasol). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.