Comparative analysis of prokaryotic communities associated with organic and conventional farming systems

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Abstract

One of the most important challenges in agriculture is to determine the effectiveness and environmental impact of certain farming practices. The aim of present study was to determine and compare the taxonomic composition of the microbiomes established in soil following long-term exposure (14 years) to a conventional and organic farming systems (CFS and OFS accordingly). Soil from unclared forest next to the fields was used as a control. The analysis was based on RT-PCR and pyrosequencing of 16S rRNA genes of bacteria and archaea. The number of bacteria was significantly lower in CFS than in OFS and woodland. The highest amount of archaea was detected in woodland, whereas the amounts in CFS and OFS were lower and similar. The most common phyla in the soil microbial communities analyzed were Proteobacteria (57.9%), Acidobacteria (16.1%), Actinobacteria (7.9%), Verrucomicrobia (2.0%), Bacteroidetes (2.7%) and Firmicutes (4.8%). Woodland soil differed from croplands in the taxonomic composition of microbial phyla. Croplands were enriched with Proteobacteria (mainly the genus Pseudomonas), while Acidobacteria were detected almost exclusively in woodland soil. The most pronounced differences between the CFS and OFS microbiomes were found within the genus Pseudomonas, which significantly (p<0,05) increased its number in CFS soil compared to OFS. Other differences in microbiomes of cropping systems concerned minor taxa. A higher relative abundance of bacteria belonging to the families Oxalobacteriaceae, Koribacteriaceae, Nakamurellaceae and genera Ralstonia, Paenibacillus and Pedobacter was found in CFS as compared with OFS. On the other hand, microbiomes of OFS were enriched with proteobacteria of the family Comamonadaceae (genera Hylemonella) and Hyphomicrobiaceae, actinobacteria from the family Micrococcaceae, and bacteria of the genera Geobacter, Methylotenera, Rhizobium (mainly Rhizobium leguminosarum) and Clostridium. Thus, the fields under OFS and CFS did not differ greatly for the composition of the microbiome. These results, which were also confirmed by cluster analysis, indicated that microbial communities in the field soil do not necessarily differ largely between conventional and organic farming systems.

Figures

  • Table 1. Summary of the cultivation history of the fields sampled in the experimental station “Karila” (Mikkeli, Finland). For details, see S1 Table.
  • Table 2. Agrochemical properties of soil samples.
  • Fig 1. The number of bacteria and archaea per gram of soil, estimated by quantitative PCR. The raw data on the number of 16S rRNA genes per gram of soil, calibrated to the E. coli andH. salinarum 16S rDNA copy number, were translated to the number of prokaryotic cells per gram of soil by use of the information on the average number of 16S rRNA copies in bacterial and archaeal genomes deposited in rrnDB database [36]. Error bars indicate standard deviation (n = 3).
  • Table 3. Alpha-diversity parameters of soil microbiomes.
  • Fig 2. Abundance ratios of the most common bacterial phyla in the soil in organic (OFS) vs. conventional (CFS) farming systems, and the woodland vs. farmland systems (wood vs. FS; FS combines OFS and CFS samples). Circle size indicates the average abundance of the phylum.
  • Fig 3. Heatmap comparison of the microbiomes in croplands (CFS and OFS) and the woodland. Colors mark the average relative abundance (in number of sequences per sample) of each bacterial genus within the sample. Only identified genera with total counts exceeding 5 sequences per library are presented.
  • Fig 4. OTUs analyzed in a bootstrappedmaximum likelihood phylogenetic tree and their abundance presented in a table. Pairwise tests indicated either an increase (+) or a decrease (–) in abundance between samples of the organic farming system (OFS), the conventional farming system (CFS) and the woodland (Wood). Blank cells indicate insufficient data. The significance of difference was assessed using a permutation test, INS indicates insignificant difference.
  • Table 4. Multiple matrix regression analysis results of the main agrochemical properties of investigated soils.

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Pershina, E., Valkonen, J., Kurki, P., Ivanova, E., Chirak, E., Korvigo, I., … Andronov, E. (2015). Comparative analysis of prokaryotic communities associated with organic and conventional farming systems. PLoS ONE, 10(12). https://doi.org/10.1371/journal.pone.0145072

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