Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions
Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Franco, C. A. [verfasserIn] Marin, M. V. [verfasserIn] Silva, E. H. C. [verfasserIn] Soares, R. S. [verfasserIn] Candido, W. S. [verfasserIn] Souza, L. N. [verfasserIn] Caprio, C. H. [verfasserIn] Vidal, R. L. [verfasserIn] Panizzi, R. C. [verfasserIn] Braz, L. T. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: European journal of plant pathology - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1895, 159(2020), 1 vom: 21. Nov., Seite 179-189 |
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| Übergeordnetes Werk: |
volume:159 ; year:2020 ; number:1 ; day:21 ; month:11 ; pages:179-189 |
| Links: |
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| DOI / URN: |
10.1007/s10658-020-02154-y |
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| Katalog-ID: |
SPR042552346 |
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| 520 | |a Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. | ||
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| 650 | 4 | |a Lettuce breeding |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Resistance genes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Race-specific resistance |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Marin, M. V. |e verfasserin |4 aut | |
| 700 | 1 | |a Silva, E. H. C. |e verfasserin |4 aut | |
| 700 | 1 | |a Soares, R. S. |e verfasserin |4 aut | |
| 700 | 1 | |a Candido, W. S. |e verfasserin |4 aut | |
| 700 | 1 | |a Souza, L. N. |e verfasserin |4 aut | |
| 700 | 1 | |a Caprio, C. H. |e verfasserin |4 aut | |
| 700 | 1 | |a Vidal, R. L. |e verfasserin |4 aut | |
| 700 | 1 | |a Panizzi, R. C. |e verfasserin |4 aut | |
| 700 | 1 | |a Braz, L. T. |e verfasserin |4 aut | |
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10.1007/s10658-020-02154-y doi (DE-627)SPR042552346 (DE-599)SPRs10658-020-02154-y-e (SPR)s10658-020-02154-y-e DE-627 ger DE-627 rakwb eng 580 630 640 ASE 48.54 bkl Franco, C. A. verfasserin aut Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. Race determination (dpeaa)DE-He213 Lettuce breeding (dpeaa)DE-He213 Resistance genes (dpeaa)DE-He213 Race-specific resistance (dpeaa)DE-He213 Marin, M. V. verfasserin aut Silva, E. H. C. verfasserin aut Soares, R. S. verfasserin aut Candido, W. S. verfasserin aut Souza, L. N. verfasserin aut Caprio, C. H. verfasserin aut Vidal, R. L. verfasserin aut Panizzi, R. C. verfasserin aut Braz, L. T. verfasserin aut Enthalten in European journal of plant pathology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1895 159(2020), 1 vom: 21. Nov., Seite 179-189 (DE-627)27042976X (DE-600)1477679-0 1573-8469 nnns volume:159 year:2020 number:1 day:21 month:11 pages:179-189 https://dx.doi.org/10.1007/s10658-020-02154-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.54 ASE AR 159 2020 1 21 11 179-189 |
| spelling |
10.1007/s10658-020-02154-y doi (DE-627)SPR042552346 (DE-599)SPRs10658-020-02154-y-e (SPR)s10658-020-02154-y-e DE-627 ger DE-627 rakwb eng 580 630 640 ASE 48.54 bkl Franco, C. A. verfasserin aut Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. Race determination (dpeaa)DE-He213 Lettuce breeding (dpeaa)DE-He213 Resistance genes (dpeaa)DE-He213 Race-specific resistance (dpeaa)DE-He213 Marin, M. V. verfasserin aut Silva, E. H. C. verfasserin aut Soares, R. S. verfasserin aut Candido, W. S. verfasserin aut Souza, L. N. verfasserin aut Caprio, C. H. verfasserin aut Vidal, R. L. verfasserin aut Panizzi, R. C. verfasserin aut Braz, L. T. verfasserin aut Enthalten in European journal of plant pathology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1895 159(2020), 1 vom: 21. Nov., Seite 179-189 (DE-627)27042976X (DE-600)1477679-0 1573-8469 nnns volume:159 year:2020 number:1 day:21 month:11 pages:179-189 https://dx.doi.org/10.1007/s10658-020-02154-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.54 ASE AR 159 2020 1 21 11 179-189 |
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10.1007/s10658-020-02154-y doi (DE-627)SPR042552346 (DE-599)SPRs10658-020-02154-y-e (SPR)s10658-020-02154-y-e DE-627 ger DE-627 rakwb eng 580 630 640 ASE 48.54 bkl Franco, C. A. verfasserin aut Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. Race determination (dpeaa)DE-He213 Lettuce breeding (dpeaa)DE-He213 Resistance genes (dpeaa)DE-He213 Race-specific resistance (dpeaa)DE-He213 Marin, M. V. verfasserin aut Silva, E. H. C. verfasserin aut Soares, R. S. verfasserin aut Candido, W. S. verfasserin aut Souza, L. N. verfasserin aut Caprio, C. H. verfasserin aut Vidal, R. L. verfasserin aut Panizzi, R. C. verfasserin aut Braz, L. T. verfasserin aut Enthalten in European journal of plant pathology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1895 159(2020), 1 vom: 21. Nov., Seite 179-189 (DE-627)27042976X (DE-600)1477679-0 1573-8469 nnns volume:159 year:2020 number:1 day:21 month:11 pages:179-189 https://dx.doi.org/10.1007/s10658-020-02154-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.54 ASE AR 159 2020 1 21 11 179-189 |
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10.1007/s10658-020-02154-y doi (DE-627)SPR042552346 (DE-599)SPRs10658-020-02154-y-e (SPR)s10658-020-02154-y-e DE-627 ger DE-627 rakwb eng 580 630 640 ASE 48.54 bkl Franco, C. A. verfasserin aut Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. Race determination (dpeaa)DE-He213 Lettuce breeding (dpeaa)DE-He213 Resistance genes (dpeaa)DE-He213 Race-specific resistance (dpeaa)DE-He213 Marin, M. V. verfasserin aut Silva, E. H. C. verfasserin aut Soares, R. S. verfasserin aut Candido, W. S. verfasserin aut Souza, L. N. verfasserin aut Caprio, C. H. verfasserin aut Vidal, R. L. verfasserin aut Panizzi, R. C. verfasserin aut Braz, L. T. verfasserin aut Enthalten in European journal of plant pathology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1895 159(2020), 1 vom: 21. Nov., Seite 179-189 (DE-627)27042976X (DE-600)1477679-0 1573-8469 nnns volume:159 year:2020 number:1 day:21 month:11 pages:179-189 https://dx.doi.org/10.1007/s10658-020-02154-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.54 ASE AR 159 2020 1 21 11 179-189 |
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10.1007/s10658-020-02154-y doi (DE-627)SPR042552346 (DE-599)SPRs10658-020-02154-y-e (SPR)s10658-020-02154-y-e DE-627 ger DE-627 rakwb eng 580 630 640 ASE 48.54 bkl Franco, C. A. verfasserin aut Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. Race determination (dpeaa)DE-He213 Lettuce breeding (dpeaa)DE-He213 Resistance genes (dpeaa)DE-He213 Race-specific resistance (dpeaa)DE-He213 Marin, M. V. verfasserin aut Silva, E. H. C. verfasserin aut Soares, R. S. verfasserin aut Candido, W. S. verfasserin aut Souza, L. N. verfasserin aut Caprio, C. H. verfasserin aut Vidal, R. L. verfasserin aut Panizzi, R. C. verfasserin aut Braz, L. T. verfasserin aut Enthalten in European journal of plant pathology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1895 159(2020), 1 vom: 21. Nov., Seite 179-189 (DE-627)27042976X (DE-600)1477679-0 1573-8469 nnns volume:159 year:2020 number:1 day:21 month:11 pages:179-189 https://dx.doi.org/10.1007/s10658-020-02154-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.54 ASE AR 159 2020 1 21 11 179-189 |
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Enthalten in European journal of plant pathology 159(2020), 1 vom: 21. Nov., Seite 179-189 volume:159 year:2020 number:1 day:21 month:11 pages:179-189 |
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Franco, C. A. @@aut@@ Marin, M. V. @@aut@@ Silva, E. H. C. @@aut@@ Soares, R. S. @@aut@@ Candido, W. S. @@aut@@ Souza, L. N. @@aut@@ Caprio, C. H. @@aut@@ Vidal, R. L. @@aut@@ Panizzi, R. C. @@aut@@ Braz, L. T. @@aut@@ |
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A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. 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|
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Franco, C. A. |
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Franco, C. A. ddc 580 bkl 48.54 misc Race determination misc Lettuce breeding misc Resistance genes misc Race-specific resistance Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions |
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580 630 640 ASE 48.54 bkl Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions Race determination (dpeaa)DE-He213 Lettuce breeding (dpeaa)DE-He213 Resistance genes (dpeaa)DE-He213 Race-specific resistance (dpeaa)DE-He213 |
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ddc 580 bkl 48.54 misc Race determination misc Lettuce breeding misc Resistance genes misc Race-specific resistance |
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ddc 580 bkl 48.54 misc Race determination misc Lettuce breeding misc Resistance genes misc Race-specific resistance |
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European journal of plant pathology |
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Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions |
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Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions |
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Franco, C. A. |
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European journal of plant pathology |
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Franco, C. A. Marin, M. V. Silva, E. H. C. Soares, R. S. Candido, W. S. Souza, L. N. Caprio, C. H. Vidal, R. L. Panizzi, R. C. Braz, L. T. |
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monitoring virulence of bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest brazilian regions |
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Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions |
| abstract |
Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. |
| abstractGer |
Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. |
| abstract_unstemmed |
Abstract Lettuce downy mildew caused by Bremia lactucae is one of the main diseases in high humidity and low temperature conditions. The identification of virulence factors appearing in the pathogen population could help improve breeding programs against this disease. This study aimed to monitor and evaluate virulence dynamic changes in B. lactucae virulence among two Brazilian regions to recommend resistance genes for breeding programs. Isolates from São Paulo, Rio Grande do Sul, and Paraná states were assessed using the sextet code EU-C composed by 16 Lactuca spp. genotypes, between 2015 and 2016. To understand the population dynamics, the frequencies of virulence phenotypes and factors and the virulence complexity per isolate ($ C_{i} $), phenotype ($ C_{p} $), and Gleason ($ I_{g} $), indexes were calculated. B. lactucae virulence from Paraná, Rio Grande do Sul and São Paulo were similar and shared nine out of the 15 evaluated virulence factors. In total, 90 isolates were analyzed, and 27 virulence phenotypes were found. The most frequent sextet codes were 31–00-00, 31–00-02, 31–01-00, and 31–01-02. The genes or resistance factors present in ‘Argelès’ (Dm38), ‘Balesta’, and ‘Bartoli’ could be used as sources of resistance by Brazilian lettuce breeders. |
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Monitoring virulence of Bremia lactucae as a breeding tool against lettuce downy mildew from south and southwest Brazilian regions |
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Marin, M. V. Silva, E. H. C. Soares, R. S. Candido, W. S. Souza, L. N. Caprio, C. H. Vidal, R. L. Panizzi, R. C. Braz, L. T. |
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| score |
7.4006453 |