2018
DOI: 10.1111/1365-2745.12942
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Spatial patterns of pathogenic and mutualistic fungi across the elevational range of a host plant

Abstract: Fungi are both agents of disease and mutualistic partners of plants. Previous studies have tested the effects of abiotic or biotic factors on plant‐associated fungal communities in isolation. However, to better understand patterns of plant–fungal associations, the combined effects of abiotic and biotic drivers across environmental gradients may be important. We investigated the effects of temperature, pH, soil moisture, vegetation cover and distance to host plant on the occurrence and abundance of fungi associ… Show more

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Cited by 34 publications
(54 citation statements)
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“…Habitats of host generalist and specialist fungi (both pathogens and mutualists) can exceed those of their host species (Merges et al . ). However, the presence of a host plant has indeed a positive effect on the abundance of host‐specialized pathogenic fungi.…”
Section: Discussionmentioning
confidence: 99%
“…Habitats of host generalist and specialist fungi (both pathogens and mutualists) can exceed those of their host species (Merges et al . ). However, the presence of a host plant has indeed a positive effect on the abundance of host‐specialized pathogenic fungi.…”
Section: Discussionmentioning
confidence: 99%
“…Such pathogens often remain largely concealed until the next disease outbreak. However, these pathogens can be detected using DNA‐based approaches such as metabarcoding (Makiola et al, ; Merges, Bálint, Schmitt, Böhning‐Gaese, & Neuschulz, ). Hence, DNA‐based approaches allow a holistic picture of potential plant pathogen communities.…”
Section: Introductionmentioning
confidence: 99%
“…Next‐generation sequencing metabarcoding has the potential to develop into an effective method for the molecular identification of multiple plant pathogens from environmental samples (Merges, Bálint, Schmitt, Böhning‐Gaese, & Neuschulz, ; Taberlet, Coissac, Hajibabaei, & Rieseberg, ). DNA metabarcoding seems especially promising for the monitoring of potential plant pathogens (hereafter pathogens), because it bypasses the need for cultivation and isolation of species, and is able to detect plant pathogenic species when they occur asymptomatically (Malcolm, Kuldau, Gugino, & Jiménez‐Gasco, ; Stergiopoulos & Gordon, ) or at barely discernible levels.…”
Section: Introductionmentioning
confidence: 99%