2019
DOI: 10.1101/632901
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Biogeographic patterns of ectomycorrhizal fungal communities associated withCastanopsis sieboldiiacross the Japanese archipelago

Abstract: 23Biogeographic patterns in ectomycorrhizal (ECM) fungal communities and their drivers 24 have been elucidated, including effects of host tree species and abiotic (climatic and 25 edaphic) conditions. At these geographic scales, genotypic diversity and composition of 26 single host tree species change with spatial and environmental gradients, reflecting their 27 historical dispersal events. However, whether the host genotypes can be associated with 28 the biogeographic patterns of ECM communities remains un… Show more

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Cited by 2 publications
(13 citation statements)
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References 65 publications
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“…For ECM fungal communities associated with C . sieboldii , raw sequence data were obtained from Matsuoka et al, (2019), who investigated the ECM fungal communities in 12 C . sieboldii forests (available in the Sequence Read Archive of DNA Data Bank of Japan (DRA) under the accession number: #DRA004281).…”
Section: Methodsmentioning
confidence: 99%
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“…For ECM fungal communities associated with C . sieboldii , raw sequence data were obtained from Matsuoka et al, (2019), who investigated the ECM fungal communities in 12 C . sieboldii forests (available in the Sequence Read Archive of DNA Data Bank of Japan (DRA) under the accession number: #DRA004281).…”
Section: Methodsmentioning
confidence: 99%
“…We specifically investigated the ECM fungal community structures in 15 Fagus crenata (Fagaceae) forests across Japan and compared the community structure with that of C . sieboldii forests examined by Matsuoka et al, (2019). We selected the host F .…”
Section: Introductionmentioning
confidence: 99%
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“…We thank the staff of the University of Tokyo Chiba Forests and Koichi Ito for their assistance in the fieldwork; Shigeaki Hirano and Miyuki Hirata for their assistance in the laboratory work; Yuichiro Kanzaki for the help in the computer work; Ryo Kitagawa for the help in the statistical analyses; and Akira S. Mori, Hirotoshi Sato, and K. Ito for the useful discussions. This manuscript has been released as a preprint at bioRxiv (Matsuoka et al, 2019).…”
mentioning
confidence: 99%