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Assessing the risk that Phytophthora melonis can develop a point mutation (V1109L) in CesA3 conferring resistance to carboxylic acid amide fungicides.

Lei Chen | Shusheng Zhu | Xiaohong Lu | Zhili Pang | Meng Cai | Xili Liu
PloS one | 2012

The risk that the plant pathogen Phytophthora melonis develops resistance to carboxylic acid amide (CAA) fungicides was determined by measuring baseline sensitivities of field isolates, generating resistant mutants, and measuring the fitness of the resistant mutants. The baseline sensitivities of 80 isolates to flumorph, dimethomorph and iprovalicarb were described by unimodal curves, with mean EC(50) values of 0.986 (±0.245), 0.284 (±0.060) and 0.327 (±0.068) µg/ml, respectively. Seven isolates with different genetic background (as indicated by RAPD markers) were selected to generate CAA-resistance. Fifty-five resistant mutants were obtained from three out of seven isolates by spontaneous selection and UV-mutagenesis with frequencies of 1×10(-7) and 1×10(-6), respectively. CAA-resistance was stable for all mutants. The resistance factors of these mutants ranged from 7 to 601. The compound fitness index (CFI  =  mycelial growth × zoospore production × pathogenicity) was often lower for the CAA-resistant isolates than for wild-type isolates, suggesting that the risk of P. melonis developing resistance to CAA fungicides is low to moderate. Among the CAA-resistant isolates, a negative correlation between EC(50) values was found for iprovalicarb vs. flumorph and for iprovalicarb vs. dimethomorph. Comparison of the full-length cellulose synthase 3 (CesA3) between wild-type and CAA-resistant isolates revealed only one point mutation at codon position 1109: a valine residue (codon GTG in wild-type isolates) was converted to leucine (codon CTG in resistant mutants). This represents a novel point mutation with respect to mutations in CesA3 conferring resistance to CAA fungicides. Based on this mutation, an efficient allelic-specific PCR (AS-PCR) method was developed for rapid detection of CAA-resistance in P. melonis populations.

Pubmed ID: 22848705

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Metagenomes Used in The Statistical Analysis (tool)

RRID:SCR_008483

his table shows the metadata and links to sources of the data and citations associated with the publicly available metagenome sequences used in the Dinsdale, Edwards, et al., analysis of 87 different metagenomes. The links will take you to the annotated sequences in the metagenomics SEED, CAMERA, and the NCBI Short Read Archve. Please note that all metagenomes are currently available to download via the ftp links, some are available in the meta-RAST, and other links will be added as soon as they become available. Citations for individual metagenomes will also be added as and when they become available. DNA sequences for all metagenomes are avaialble via anonymous FTP. Sponsor. This project was supported by the Gordon and Betty Moore Foundation Marine Microbial Initiative, National Science Foundation grants (F.R. and D.L.V.), a Department of Commerce ATP grant (F.R.), a National Research Initiative Competitive Grant from the USDA Cooperative State Research, Education and Extension Service (B.W.), the National Institute of Allergy and Infectious Diseases, the National Institutes of Health and the Department of Health and Human Services (R.S.).

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Statistical Analysis System (tool)

RRID:SCR_008567

Software platform to explore, analyze and visualize data. SAS 9.4 is part of SAS Platform. Standardized data governance and management from statistical software company SAS.

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