The mid-domain effect in ectomycorrhizal fungi: Range overlap along an elevation gradient on Mount Fuji, Japan

Yumiko Miyamoto, Takashi Nakano, Masahira Hattori, Kazuhide Nara

研究成果: Article査読

64 被引用数 (Scopus)

抄録

Mid-domain effect (MDE) models predict that the random placement of species' ranges within a bounded geographical area leads to increased range overlap and species richness in the center of the bounded area. These models are frequently applied to study species-richness patterns of macroorganisms, but the MDE in relation to microorganisms is poorly understood. In this study, we examined the characteristics of the MDE in richness patterns of ectomycorrhizal (EM) fungi, an ecologically important group of soil symbionts. We conducted intensive soil sampling to investigate overlap among species ranges and the applicability of the MDE to EM fungi in four temperate forest stands along an elevation gradient on Mount Fuji, Japan. Molecular analyses using direct sequencing revealed 302 EM fungal species. Of 73 EM fungal species found in multiple stands, 72 inhabited a continuous range along the elevation gradient. The maximum overlap in species range and the highest species richness occurred at elevations in the middle of the gradient. The observed richness pattern also fit within the 95% confidence interval of the mid-domain null model, supporting the role of the MDE in EM fungal richness. Deviation in observed richness from the mean of the mid-domain null estimation was negatively correlated with some environmental factors, including precipitation and soil C/N, indicating that unexplained richness patterns could be driven by these environmental factors. Our results clearly support the existence of microbial species' ranges along environmental gradients and the potential applicability of the MDE to better understand microbial diversity patterns.

本文言語English
ページ(範囲)1739-1746
ページ数8
ジャーナルISME Journal
8
8
DOI
出版ステータスPublished - 2014
外部発表はい

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Microbiology
  • Medicine(all)

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