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Pfcyp51 exclusively determines reduced sensitivity to 14α-demethylase inhibitor fungicides in the banana black Sigatoka pathogen Pseudocercospora fijiensis
The haploid fungus Pseudocercospora fijiensis causes black Sigatoka in banana and is chiefly controlled by extensive fungicide applications, threatening occupational health and the environment. The 14α-Demethylase Inhibitors (DMIs) are important disease control fungicides, but they lose sensitivity...
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Published in: | PloS one 2019-10, Vol.14 (10), p.e0223858 |
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description | The haploid fungus Pseudocercospora fijiensis causes black Sigatoka in banana and is chiefly controlled by extensive fungicide applications, threatening occupational health and the environment. The 14α-Demethylase Inhibitors (DMIs) are important disease control fungicides, but they lose sensitivity in a rather gradual fashion, suggesting an underlying polygenic genetic mechanism. In spite of this, evidence found thus far suggests that P. fijiensis cyp51 gene mutations are the main responsible factor for sensitivity loss in the field. To better understand the mechanisms involved in DMI resistance, in this study we constructed a genetic map using DArTseq markers on two F1 populations generated by crossing two different DMI resistant strains with a sensitive strain. Analysis of the inheritance of DMI resistance in the F1 populations revealed two major and discrete DMI-sensitivity groups. This is an indicative of a single major responsible gene. Using the DMI-sensitivity scorings of both F1 populations and the generation of genetic linkage maps, the sensitivity causal factor was located in a single genetic region. Full agreement was found for genetic markers in either population, underlining the robustness of the approach. The two maps indicated a similar genetic region where the Pfcyp51 gene is found. Sequence analyses of the Pfcyp51 gene of the F1 populations also revealed a matching bimodal distribution with the DMI resistant. Amino acid substitutions in P. fijiensis CYP51 enzyme of the resistant progeny were previously correlated with the loss of DMI sensitivity. In addition, the resistant progeny inherited a Pfcyp51 gene promoter insertion, composed of a repeat element with a palindromic core, also previously correlated with increased gene expression. This genetic approach confirms that Pfcyp51 is the single explanatory gene for reduced sensitivity to DMI fungicides in the analysed P. fijiensis strains. Our study is the first genetic analysis to map the underlying genetic factors for reduced DMI efficacy. |
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The 14α-Demethylase Inhibitors (DMIs) are important disease control fungicides, but they lose sensitivity in a rather gradual fashion, suggesting an underlying polygenic genetic mechanism. In spite of this, evidence found thus far suggests that P. fijiensis cyp51 gene mutations are the main responsible factor for sensitivity loss in the field. To better understand the mechanisms involved in DMI resistance, in this study we constructed a genetic map using DArTseq markers on two F1 populations generated by crossing two different DMI resistant strains with a sensitive strain. Analysis of the inheritance of DMI resistance in the F1 populations revealed two major and discrete DMI-sensitivity groups. This is an indicative of a single major responsible gene. Using the DMI-sensitivity scorings of both F1 populations and the generation of genetic linkage maps, the sensitivity causal factor was located in a single genetic region. Full agreement was found for genetic markers in either population, underlining the robustness of the approach. The two maps indicated a similar genetic region where the Pfcyp51 gene is found. Sequence analyses of the Pfcyp51 gene of the F1 populations also revealed a matching bimodal distribution with the DMI resistant. Amino acid substitutions in P. fijiensis CYP51 enzyme of the resistant progeny were previously correlated with the loss of DMI sensitivity. In addition, the resistant progeny inherited a Pfcyp51 gene promoter insertion, composed of a repeat element with a palindromic core, also previously correlated with increased gene expression. This genetic approach confirms that Pfcyp51 is the single explanatory gene for reduced sensitivity to DMI fungicides in the analysed P. fijiensis strains. Our study is the first genetic analysis to map the underlying genetic factors for reduced DMI efficacy.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0223858</identifier><identifier>PMID: 31622393</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>14-alpha Demethylase Inhibitors - metabolism ; 14-alpha Demethylase Inhibitors - pharmacology ; Acid resistance ; Amino acids ; Ascomycota - drug effects ; Ascomycota - genetics ; Ascomycota - isolation & purification ; Biology and Life Sciences ; Black Sigatoka ; CYP51 gene ; Disease control ; Drug Resistance, Fungal - genetics ; Fungal Proteins - antagonists & inhibitors ; Fungal Proteins - genetics ; Fungal Proteins - metabolism ; Fungi ; Fungicides ; Fungicides, Industrial - metabolism ; Fungicides, Industrial - pharmacology ; Gene expression ; Gene mapping ; Genes ; Genetic analysis ; Genetic crosses ; Genetic factors ; Genetic Linkage ; Genetic markers ; Genomes ; Health risks ; Insertion ; Laboratories ; Markers ; Musa - metabolism ; Musa - microbiology ; Mutation ; Occupational health ; Pesticides ; Plant Diseases - microbiology ; Plant Leaves - metabolism ; Plant Leaves - microbiology ; Plant pathology ; Polygenic inheritance ; Population genetics ; Populations ; Progeny ; Promoter Regions, Genetic ; Pseudocercospora fijiensis ; Quantitative genetics ; Research and Analysis Methods ; Sensitivity analysis ; Sterol 14-Demethylase - chemistry ; Sterol 14-Demethylase - genetics ; Sterol 14-Demethylase - metabolism ; Sterols ; Strain analysis ; Studies</subject><ispartof>PloS one, 2019-10, Vol.14 (10), p.e0223858</ispartof><rights>2019 Chong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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The 14α-Demethylase Inhibitors (DMIs) are important disease control fungicides, but they lose sensitivity in a rather gradual fashion, suggesting an underlying polygenic genetic mechanism. In spite of this, evidence found thus far suggests that P. fijiensis cyp51 gene mutations are the main responsible factor for sensitivity loss in the field. To better understand the mechanisms involved in DMI resistance, in this study we constructed a genetic map using DArTseq markers on two F1 populations generated by crossing two different DMI resistant strains with a sensitive strain. Analysis of the inheritance of DMI resistance in the F1 populations revealed two major and discrete DMI-sensitivity groups. This is an indicative of a single major responsible gene. Using the DMI-sensitivity scorings of both F1 populations and the generation of genetic linkage maps, the sensitivity causal factor was located in a single genetic region. Full agreement was found for genetic markers in either population, underlining the robustness of the approach. The two maps indicated a similar genetic region where the Pfcyp51 gene is found. Sequence analyses of the Pfcyp51 gene of the F1 populations also revealed a matching bimodal distribution with the DMI resistant. Amino acid substitutions in P. fijiensis CYP51 enzyme of the resistant progeny were previously correlated with the loss of DMI sensitivity. In addition, the resistant progeny inherited a Pfcyp51 gene promoter insertion, composed of a repeat element with a palindromic core, also previously correlated with increased gene expression. This genetic approach confirms that Pfcyp51 is the single explanatory gene for reduced sensitivity to DMI fungicides in the analysed P. fijiensis strains. Our study is the first genetic analysis to map the underlying genetic factors for reduced DMI efficacy.</description><subject>14-alpha Demethylase Inhibitors - metabolism</subject><subject>14-alpha Demethylase Inhibitors - pharmacology</subject><subject>Acid resistance</subject><subject>Amino acids</subject><subject>Ascomycota - drug effects</subject><subject>Ascomycota - genetics</subject><subject>Ascomycota - isolation & purification</subject><subject>Biology and Life Sciences</subject><subject>Black Sigatoka</subject><subject>CYP51 gene</subject><subject>Disease control</subject><subject>Drug Resistance, Fungal - genetics</subject><subject>Fungal Proteins - antagonists & inhibitors</subject><subject>Fungal Proteins - genetics</subject><subject>Fungal Proteins - metabolism</subject><subject>Fungi</subject><subject>Fungicides</subject><subject>Fungicides, Industrial - metabolism</subject><subject>Fungicides, Industrial - pharmacology</subject><subject>Gene expression</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic analysis</subject><subject>Genetic crosses</subject><subject>Genetic factors</subject><subject>Genetic Linkage</subject><subject>Genetic markers</subject><subject>Genomes</subject><subject>Health risks</subject><subject>Insertion</subject><subject>Laboratories</subject><subject>Markers</subject><subject>Musa - metabolism</subject><subject>Musa - microbiology</subject><subject>Mutation</subject><subject>Occupational health</subject><subject>Pesticides</subject><subject>Plant Diseases - microbiology</subject><subject>Plant Leaves - metabolism</subject><subject>Plant Leaves - microbiology</subject><subject>Plant pathology</subject><subject>Polygenic inheritance</subject><subject>Population genetics</subject><subject>Populations</subject><subject>Progeny</subject><subject>Promoter Regions, Genetic</subject><subject>Pseudocercospora fijiensis</subject><subject>Quantitative genetics</subject><subject>Research and Analysis Methods</subject><subject>Sensitivity analysis</subject><subject>Sterol 14-Demethylase - chemistry</subject><subject>Sterol 14-Demethylase - genetics</subject><subject>Sterol 14-Demethylase - metabolism</subject><subject>Sterols</subject><subject>Strain analysis</subject><subject>Studies</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUt1qFDEUHkSxtfoGogFvvNl1ksxkJjdCKVYLBQvqdcjPyW622WRMMov7Lr5EX8Rncra7La1ILhLO-X7OCV9Vvcb1HNMOf1jFMQXp50MMMK8JoX3bP6mOMadkxkhNnz54H1Uvcl7VdUt7xp5XRxSzicDpcfX7yurt0GIEv7Qfs9uA3yIDBdLaBcgogRk1GJQhZFfcxpUtKhHh5s_NzMAaynLrZQbkwtIpV2JCdgwLp52ZyC6gsgSkZJgOUl7qa_TNLWSJ1xINsizjAgK6yjCaqCHpmIeYJLJu5XZ2-WX1zEqf4dXhPql-nH_6fvZldvn188XZ6eVMt4SVGVbMmBZbqxiR3FjGSWMaoklvgSra9lbxumet4kzqDjpcT5hOdYTUU40relK93esOPmZx-NgsCK1Z03OM2YS42CNMlCsxJLeWaSuidOK2ENNCyFSc9iCAUWZbSbm2qmkx591kaHuqCG5rkDBpfTy4jWoNRkMoSfpHoo87wS3FIm4E63iHCZ4E3h8EUvw5Qi5i7bIG72WAON7O3eGG9bidoO_-gf5_u2aP0inmnMDeD4NrsQvbHUvswiYOYZtobx4uck-6Sxf9Cyod154</recordid><startdate>20191017</startdate><enddate>20191017</enddate><creator>Chong, Pablo</creator><creator>Vichou, Aikaterini-Eleni</creator><creator>Schouten, Henk J</creator><creator>Meijer, Harold J G</creator><creator>Arango Isaza, Rafael E</creator><creator>Kema, Gert H J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7276-6035</orcidid><orcidid>https://orcid.org/0000-0002-0883-219X</orcidid></search><sort><creationdate>20191017</creationdate><title>Pfcyp51 exclusively determines reduced sensitivity to 14α-demethylase inhibitor fungicides in the banana black Sigatoka pathogen Pseudocercospora fijiensis</title><author>Chong, Pablo ; Vichou, Aikaterini-Eleni ; Schouten, Henk J ; Meijer, Harold J G ; Arango Isaza, Rafael E ; Kema, Gert H J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-1b6dd51ffb62a9df6924d42c28fe3b358fb90865b96ac7e710df67b72205b99b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>14-alpha Demethylase Inhibitors - 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The 14α-Demethylase Inhibitors (DMIs) are important disease control fungicides, but they lose sensitivity in a rather gradual fashion, suggesting an underlying polygenic genetic mechanism. In spite of this, evidence found thus far suggests that P. fijiensis cyp51 gene mutations are the main responsible factor for sensitivity loss in the field. To better understand the mechanisms involved in DMI resistance, in this study we constructed a genetic map using DArTseq markers on two F1 populations generated by crossing two different DMI resistant strains with a sensitive strain. Analysis of the inheritance of DMI resistance in the F1 populations revealed two major and discrete DMI-sensitivity groups. This is an indicative of a single major responsible gene. Using the DMI-sensitivity scorings of both F1 populations and the generation of genetic linkage maps, the sensitivity causal factor was located in a single genetic region. Full agreement was found for genetic markers in either population, underlining the robustness of the approach. The two maps indicated a similar genetic region where the Pfcyp51 gene is found. Sequence analyses of the Pfcyp51 gene of the F1 populations also revealed a matching bimodal distribution with the DMI resistant. Amino acid substitutions in P. fijiensis CYP51 enzyme of the resistant progeny were previously correlated with the loss of DMI sensitivity. In addition, the resistant progeny inherited a Pfcyp51 gene promoter insertion, composed of a repeat element with a palindromic core, also previously correlated with increased gene expression. This genetic approach confirms that Pfcyp51 is the single explanatory gene for reduced sensitivity to DMI fungicides in the analysed P. fijiensis strains. Our study is the first genetic analysis to map the underlying genetic factors for reduced DMI efficacy.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31622393</pmid><doi>10.1371/journal.pone.0223858</doi><orcidid>https://orcid.org/0000-0002-7276-6035</orcidid><orcidid>https://orcid.org/0000-0002-0883-219X</orcidid><oa>free_for_read</oa></addata></record> |
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recordid | cdi_plos_journals_2306489116 |
source | PubMed Central Free; Publicly Available Content (ProQuest) |
subjects | 14-alpha Demethylase Inhibitors - metabolism 14-alpha Demethylase Inhibitors - pharmacology Acid resistance Amino acids Ascomycota - drug effects Ascomycota - genetics Ascomycota - isolation & purification Biology and Life Sciences Black Sigatoka CYP51 gene Disease control Drug Resistance, Fungal - genetics Fungal Proteins - antagonists & inhibitors Fungal Proteins - genetics Fungal Proteins - metabolism Fungi Fungicides Fungicides, Industrial - metabolism Fungicides, Industrial - pharmacology Gene expression Gene mapping Genes Genetic analysis Genetic crosses Genetic factors Genetic Linkage Genetic markers Genomes Health risks Insertion Laboratories Markers Musa - metabolism Musa - microbiology Mutation Occupational health Pesticides Plant Diseases - microbiology Plant Leaves - metabolism Plant Leaves - microbiology Plant pathology Polygenic inheritance Population genetics Populations Progeny Promoter Regions, Genetic Pseudocercospora fijiensis Quantitative genetics Research and Analysis Methods Sensitivity analysis Sterol 14-Demethylase - chemistry Sterol 14-Demethylase - genetics Sterol 14-Demethylase - metabolism Sterols Strain analysis Studies |
title | Pfcyp51 exclusively determines reduced sensitivity to 14α-demethylase inhibitor fungicides in the banana black Sigatoka pathogen Pseudocercospora fijiensis |
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