Species delimitation in Pythium species complexes: the case of Pythium myriotylum Drechsler and Pythium zingiberis Takahashi

Le, Duy Phu; Smith, Mike; Aitken, E. A. B.

doi:10.1007/s11557-017-1272-6

Cited by 5 publications

(2 citation statements)

References 36 publications

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“… The isolate P. zingiberis NBRC30817 was recommended for consolidation within a taxon of P. myriotylum (Le et al . ). However, the name P. zingiberis NBRC30817 is retained in this study until the change is officially recognised. …”

Section: Resultsmentioning

confidence: 97%

“…We greatly thank the funding bodies for granting the project, Ms. Elizabeth Czislowski from School of Agriculture and †Isolates were whole genome sequenced for genetic diversity based on SNP typing studies. ‡The isolate P. zingiberis NBRC30817 was recommended for consolidation within a taxon of P. myriotylum (Le et al 2017). However, the name P. zingiberis NBRC30817 is retained in this study until the change is officially recognised.…”

Section: Acknowledgementsmentioning

confidence: 99%

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Genetic variation in Pythium myriotylum based on SNP typing and development of a PCR-RFLP detection of isolates recovered from Pythium soft rot ginger

Smith²,

Aitken

2017

Lett Appl Microbiol

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This is the first study of intraspecific variants of Pythium myriotylum isolates recovered from different hosts and origins based on single nucleotide polymorphism (SNP) genotyping of multiple genes. The SNPs discovered provide valuable makers for detection and identification of P. myriotylum strains initially isolated from Pythium soft rot (PSR) ginger by using PCR-RFLP of the CoxII locus. The PCR-RFLP was also sensitive to detect P. myriotylum directly from PSR ginger sampled from pot trials without the need of isolation for pure cultures.

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Section: Resultsmentioning

confidence: 97%

Section: Acknowledgementsmentioning

confidence: 99%

Genetic variation in Pythium myriotylum based on SNP typing and development of a PCR-RFLP detection of isolates recovered from Pythium soft rot ginger

Smith²,

Aitken

2017

Lett Appl Microbiol

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High‐resolution biomonitoring of plant pathogens and plant species using metabarcoding of pollen pellet contents collected from a honey bee hive

et al. 2019

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The Canadian beekeeping industry is spread across the country, with the greatest proportion of managed honey bee colonies occurring in the Prairie Provinces. Nationally, the number of beekeepers has recently been trending upwards. Simultaneously, agronomic and environmental plant pest incidents are increasing due to a number of factors, including the introduction of exotic organisms through international trade, which is a major pathway for the introduction of potentially invasive alien species and quarantine pests. Therefore, regulatory agencies are interested in developing high‐throughput tools to achieve earlier detection of unwanted species in order to expedite application of mitigating measures to limit the impacts of their introduction. This study evaluates the potential of pollen pellet contents collected by honey bees to monitor plant pests using metabarcoding, a high‐throughput sequencing (HTS) approach for monitoring complex environmental samples. The study used the ITS1 intergenic region to target oomycetes and fungi, the ATP9‐NAD9 spacer to specifically target Phytophthora species, and the ITS2 region to target plant species. From the HTS results, a number of plants that were detected corresponded to known hosts of certain pathogens or species closely related to potentially invasive plant species. Genera including phytopathogenic species found in the pollen samples comprised Fusarium sp., Ophiostoma sp., Peronospora sp., Phytophthora sp., and Pythium sp. Correlations, high entropy, and co‐occurrences between certain plants and oomycetes or fungi were observed. The potential for using honey bee‐collected pollen pellets to study phytopathogens in a given environment is demonstrated here, and this concept could represent a promising complementary tool for the surveillance of phytopathogens or unwanted plants with previously described air and insect sampling methods if the protocol was applied with additional genetic markers.

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Several Pythium species cause crown and root rot on cannabis (Cannabis sativa L., marijuana) plants grown under commercial greenhouse conditions

Punja

Scott

Lung

2021

Canadian Journal of Plant Pathology

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Species delimitation in Pythium species complexes: the case of Pythium myriotylum Drechsler and Pythium zingiberis Takahashi

Cited by 5 publications

References 36 publications

Genetic variation in Pythium myriotylum based on SNP typing and development of a PCR-RFLP detection of isolates recovered from Pythium soft rot ginger

Genetic variation in Pythium myriotylum based on SNP typing and development of a PCR-RFLP detection of isolates recovered from Pythium soft rot ginger

High‐resolution biomonitoring of plant pathogens and plant species using metabarcoding of pollen pellet contents collected from a honey bee hive

Several Pythium species cause crown and root rot on cannabis (Cannabis sativa L., marijuana) plants grown under commercial greenhouse conditions

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