Microbial biodiversity of meadows under different modes of land use: catabolic and genetic fingerprinting

World J Microbiol Biotechnol. 2017 Aug;33(8):154. doi: 10.1007/s11274-017-2318-2. Epub 2017 Jul 5.

Abstract

The main goal of the study was to find differences in the bacterial community structure resulting from different ways of meadow management in order to get the first insight into microbial biodiversity in meadow samples. The next generation sequencing technique (454-pyrosequencing) was accompanied with the community level physiological profiling (CLPP) method in order to acquire combined knowledge of both genetic and catabolic bacterial fingerprinting of two studied meadows (hayland and pasture). Soil samples (FAO: Mollic Gleysol) were taken in April 2015 from the surface layer (0-20 cm). Significant differences of the bacterial community structure between the two analyzed meadows resulted from different land mode were evidenced by pyrosequencing and CLPP techniques. It was found that Alpha- and Gammaproteobacteria dominated in the hayland, whereas Delta- and Betaproteobacteria prevailed in the pasture. Additionally, the hayland displayed lower Firmicutes diversity than the pasture. Predominant bacterial taxa: Acidobacteria, together with Chloroflexi and Bacteroidetes seemed to be insensitive to the mode of land use, because their abundance remained at a similar level in the both studied meadows. The CLPP analysis confirmed much faster degradation of the carbon sources by microorganisms from the hayland rather than from the pasture. Amino acids were the most favoured carbon source groups utilized by microorganisms in contrast to carbohydrates, which were utilized to the lowest extent. The study clearly proved that the consequences of even moderate anthropogenic management are always changes in bacterial community structure and their metabolic activity. Bacterial taxa that are sensitive and resistant on modes of land use were determined.

Keywords: 454-Pyrosequencing; Bacterial diversity; CLPP; Meadows.

MeSH terms

  • Bacteria / classification*
  • Bacteria / genetics*
  • Bacteria / metabolism*
  • Biodiversity*
  • Carbon / metabolism
  • DNA Fingerprinting
  • DNA, Bacterial / analysis
  • DNA, Bacterial / genetics
  • Ecosystem
  • Grassland*
  • High-Throughput Nucleotide Sequencing
  • Metagenome
  • Phylogeny
  • Poland
  • RNA, Ribosomal, 16S / genetics
  • Soil / chemistry
  • Soil Microbiology*

Substances

  • DNA, Bacterial
  • RNA, Ribosomal, 16S
  • Soil
  • Carbon