The influence of aggregate size fraction and horizon position on microbial community composition

Aaron Fox*, Israel Ikoyi, Gemma Torres-Sallan, Gary Lanigan, Achim Schmalenberger, Steve Wakelin, Rachel Creamer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)

Abstract

The influence of horizon position and aggregate size on bacterial and fungal community composition was determined. From nine sites, soils were collected from the top three horizon positions (H1, H2 and H3). Physical fractionation separated samples into large macroaggregate (LM, >2000 μm), macroaggregate (MAC, >250 μm), microaggregate (MIC, <250 μm), and silt and clay (SC, 53 μm) fractions. In all samples, the structure of the bacterial and fungal community composition was assessed via restriction fragment length polymorphism (T-RFLP), and for the four aggregate sizes from the top two horizons positions an in-depth analysis of the bacterial community was conducted using next generation sequencing (NGS). Bacterial and fungal communities both differed between aggregate-sizes. Changes in the composition of the bacterial and fungal communities also occurred among horizon positions, with a significant interaction between aggregate size and horizon position evident for the bacterial community. Using NGS, it was shown that aggregate-size had a significant effect on the bacterial community in both horizon positions at both the phyla and family taxonomic levels. MAC and MIC significantly differed in the % relative abundance of bacterial groups, potentially indicating differing predation pressures. These results indicate that both horizon position and aggregate size support distinct microbial communities. Understanding these parameters is critical in our comprehension of the patterns of microbial diversity in soil.
Original languageEnglish
Pages (from-to)19-29
JournalApplied Soil Ecology
Volume127
DOIs
Publication statusPublished - Jun 2018

Keywords

  • Aggregate sized fraction
  • Bacteria
  • Community profiling
  • Fungi
  • Horizon position
  • Next generation sequencing

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