SciELO - Scientific Electronic Library Online

 
vol.13 número1Intervenciones programáticas y bioeconomía: repensar la viabilidad del maguey índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Revista mexicana de ciencias agrícolas

versão impressa ISSN 2007-0934

Rev. Mex. Cienc. Agríc vol.13 no.1 Texcoco Jan./Fev. 2022  Epub 02-Maio-2022

https://doi.org/10.29312/remexca.v13i1.2982 

Investigation note

Genotypic variability of Phytophthora capsici isolates in Guanajuato

Brenda Zulema Guerrero-Aguilar1 

José Luis Pons-Hernández1 

Mario Martin González-Chavira1  § 

Enrique González-Pérez1 

Salvador Villalobos-Reyes1 

Raúl Rodríguez Guerra2 

1Regional Research Center of the Center-INIFAP. Highway Celaya-San Miguel de Allende km 6.5, Celaya, Guanajuato, Mexico. CP. 38124. (guerrero.brenda@inifap.gob.mx; pons.joseluis@inifap.gob.mx; gonzalez.enrique@inifap.gob.mx; villalobos.salvador@inifap.gob.mx ).

2Northeast Regional Research Center-INIFAP. Highway Matamoros Reynosa km 61, Col. Rio Bravo Rural Zone, Rio Bravo, Tamaulipas, Mexico. CP. 88900. (rodriguez.raul@inifap.gob.mx).


Abstract

Phytophthora capsici is the causative agent of ‘chili pepper wilt’ one of the most important diseases of this crop. To establish efficient control strategies, it is necessary to know the diversity of the pathogen, for this, this research was carried out, whose objective was to determine the degree of genetic diversity of 30 monozoosporic isolates obtained from pepper (Capsicum annuum L.) from six municipalities in the state of Guanajuato, and two reference strains. The genetic variation was determined by the AFLP technique. The similarity found between the isolates ranges from 76 to 95%. The results obtained indicate that, within the population, groups form based on the localities of isolation. No clonal organisms were found, so the 32 isolates analyzed were unique genotypes, and no correlation was found between groups defined by molecular markers and virulence, type of mating or response to metalaxyl.

Keywords genetic variation; pepper wilt; population diversity

Resumen

Phytophthora capsici, es el agente causal de la ‘marchitez del chile’ una de las enfermedades más importantes de este cultivo. Para establecer estrategias de control eficientes es necesario el conocimiento de la diversidad del patógeno, para esto, se realizó esta investigación cuyo objetivo fue determinar el grado de diversidad genética de 30 aislados monozoospóricos obtenidos de chile (Capsicum annuum L.) de seis municipios del estado de Guanajuato, y dos cepas de referencia. La variación genética se determinó mediante la técnica de AFLP (en español: polimorfismo en la longitud de fragmentos amplificados). La similitud encontrada entre los aislados va de 76 a 95%. Los resultados obtenidos indican que dentro de la población se forman grupo basados en las localidades de aislamiento. No se encontraron organismos clónales por lo que los 32 aislamientos analizados fueron genotipos únicos, y no se encontró ninguna correlación entre grupos definidos por marcadores moleculares y virulencia, tipo de apareamiento o respuesta a metalaxil.

Palabras clave diversidad poblacional; marchitez del chile; variación genética

The oomycete Phytophthora capsici Leonian is a hemibiotrophic pathogen that causes severe epidemics in a wide range of crops worldwide (Lamour et al., 2012). In the chili pepper crop (Capsicum annuum L.), it is part of the complex that causes the drying or wilting of the chili pepper (Erwin and Ribeiro, 1996), which, in Mexico and specifically in the state of Guanajuato, is one of the main causes of crop loss (González-Pérez et al., 2004), which reaches up to 100% when environmental conditions are favorable for the development of this pathogen (Universidad Illinois, 2001).

In the field, the management of this disease is mainly based on the application of fungicides, in combination with cultural practices that limit the development of wilt, such as raised beds, plastic mulching and drip irrigation, among others (Granke et al., 2012). However, the wide range of P. capsici hosts, its ability to recombine sexually, and the production of oospores as survival structures, has limited the effectiveness of control strategies (McDonald and Linde, 2002; Gobena et al., 2012). Particularly, sexual recombination between mating types A1 and A2 of this heterothallic oomycete can generate new genotypes with greater virulence, pathogenicity, resistance to fungicides and ability to overcome host resistance (Granke et al., 2012).

P. capsici sporangia are infrequently dispersed between fields by wind (Lamour and Hausbeck, 2001b). Instead, the movement of surface water sources for irrigation and the movement of infected plant material or infested soil are known to be key factors in the local spread of P. capsici (Granke et al., 2009). These conditions limit the rapid spread over long distances of this pathogen, so it would be expected that a better understanding of the regional genetic diversity of the pathogen population would allow a more effective deployment of resistant varieties and the establishment of improvement programs that seek to generate lasting host resistance (Quesada-Ocampo et al., 2011).

This assessment of genetic diversity is based on different characteristics, including molecular characteristics (Martin et al., 2012). Molecular characteristics are data based on deoxyribonucleic acid (DNA) that have been used to determine genetic diversity (Mohammadi and Prasanna, 2003), among other reasons because this information is not influenced by environmental conditions. To generate this data, there are different protocols, the most used are: random amplified polymorphic DNA (RAPD), amplified fragment length polymorphism (AFLP), simple sequence repeats (SSR) y Ribosomal DNA e internal transcribed spacers (rDNA-ITS), among others (Gupta et al., 1999). Based on the above, this study was carried out with the aim of evaluating the genetic diversity present in the DNA of P. capsici isolates, obtained in the main chili peppers-producing areas in Guanajuato.

Strains

30 isolates of P. capsici were used, obtained from plants with symptoms of ‘wilt’, in 12 commercial production lots of different varieties and hybrids of five types of chili peppers (poblano, güero, serrano, jalapeño and chilaca), located in the most important municipalities in the production of this crop in Guanajuato: Dolores Hidalgo, San Luis de la Paz, Juventino Rosas, Silao, Salvatierra and Cortázar (Table 1). These isolates were identified using the keys of Erwin and Ribeiro (1996). In addition, two strains PCT17 and PCC6, donated by Dr. Sylvia Patricia Fernández Pavía of the Plant Pathology Laboratory-UMSNH.

Table 1 Municipality of origin and type of chili pepper from where 30 monozoosporic cultures of Phytophthora capsici were obtained. 

Municipality Key Type of chili pepper Municipality Key Type of chili pepper
Dolores Hidalgo D1 Poblano Silao S1 Güero
D2 Poblano S2 Güero
D3 Poblano S3 Güero
D4 Poblano S4 Serrano
D5 Poblano S5 Jalapeño
D6 Poblano S6 Jalapeño
D7 Poblano S7 Jalapeño
D8 Poblano Juventino Rosas J1 Jalapeño
D9 Poblano J2 Poblano
D10 Poblano J3 Jalapeño
D11 Poblano Cortázar CT1 Jalapeño
D12 Poblano CT3 Jalapeño
San Luis de la Paz SP1 Poblano CT4 Jalapeño
SP2 Poblano Salvatierra SA2 Chilaca
SP3 Poblano SA3 Chilaca

From all the isolates, including the reference strains, monozoosporic cultures were made according to the protocol of Mitchell and Kannwischer-Mitchell (1995); Erwin and Ribeiro (1996). Cultures were kept in V8C solid medium (160 ml of V8 juice, 3 g CaCO3 and 840 ml of deionized water), transferring them every six weeks.

Genetic diversity

The DNA of the 30 isolates and the two reference strains was obtained from mycelium of monozoosporic cultures, using the method proposed by Doyle and Doyle (1987). It was quantified with the help of a spectrophotometer (NanoDrop 8000) and the dilutions were standardized at a concentration of 120 ng µl-1 of DNA.

Amplified fragment length polymorphisms (AFLP) were detected based on the protocol described by Vos et al. (1995), using a NEN Global IR2 sequencer, brand LI-COR, which generates and allows the automatic capture of the digital image. The adapter-restriction site primers Eco R1 (E+2) used in this work were: E+AT, E+AG y E+AC; the adapter- restriction site primers Tru 91 (T+2) were T+CC, T+CA, and T+CG. With these primers, the six combinations used for the analysis were formed: E+AT/T+CC, E+AT/T+CA, E+AG/T+CC, E+AG/T+CA, E+AG/T+CG, y E+AC/T+CG.

The images generated were analyzed using the program ‘Cross Checker 2.91’, which encodes the bands using a binary code, where each band is represented as present (1) or absent (0), it was considered that a fragment of DNA is monomorphic if 99% of the population has it and polymorphic to those that differ from this percentage (Cavalli-Sforza and Bodmer; 1981). The binary data were analyzed with the program NTSYS-pc version 2.1 (Numerical Taxonomy Multivariate Analysis System) (Rohlf, 2005) to generate a similarity matrix based on the Dice coefficient (Núñez-Colín and Valadez-Moctezuma, 2010), which considers only the coincidences to determine the similarity between two isolates. A Bootstrap procedure was carried out with 2 000 resamples with replacement, from the average similarity matrix, the genetic relationships between the genotypes studied were determined, generating a consensus dendrogram applying the Unweighted Pair Group Method using Arithmetic Average (UPGMA) (Sneath and Sokal, 1973).

Only well-defined and medium- to high-intensity bands were considered for analysis (Figure 1). A total of 807 bands were obtained, of which 78.81% were polymorphic. The percentage of band polymorphism is similar to that reported by Kersey et al. (2005), who, when analyzing 31 isolates of P. capsici from New Mexico USA, found that 80% of 1 155 bands were polymorphic. The level of polymorphism was higher than that obtained by Lamour and Hausbeck (2001a) for P. capsici isolates from Michigan USA, who reported an average percentage of polymorphisms of 43% for 94 bands.

Figure 1 Amplified fragment length polymorphisms (AFLP), genetic profiles generated by the combination of E+AT/T+CA primers in 30 P. capsici isolates from the state of Guanajuato and 2 reference strains, showing the definition and intensity of the amplified DNA fragments (bands). 

The similarity matrix based on the Dice coefficient shows values ranging from 76 to 95% similarity with an average of 86%, these genetic relationships are reflected in the consensus dendrogram obtained in this work (Figure 2). In it, one can see the formation of four well-defined groups, group I formed with two isolates from Cortázar and one from Silao, which have the least similarity with the rest; the groups with the largest number of isolates are group II, formed only by isolates from Dolores Hidalgo, and group III, formed by a mixture of isolates from Silao and Dolores Hidalgo, group IV is formed by six subgroups, highlighting that five of them are formed only with isolates from the same municipality, these are the subgroups formed only with isolates from Silao, Dolores Hidalgo, San Luis de la Paz, Juventino Rosas and the subgroup formed by the two reference strains, which, following the observed trend could, come from the same locality.

Figure 2 Consensus dendrogram of 30 P. capsici isolates from the state of Guanajuato and 2 reference strains. The numbers on the nodes are the percentage of dendrograms above 70% that were supported by bootstrap analysis. 

In this group only a subgroup formed, which mixes two strains originating from Salvatierra with one from Cortázar. These results seem to indicate a tendency of the isolates to group according to their municipality of origin. Except for the monozoosporic cultures originating from Silao and Cortázar, which grouped with isolates from different localities, which is indicative of a high genetic diversity.

The isolation site-based association is consistent with the study of variability of P. capsici isolates originating from four different regions of Michigan USA reported by Lamour and Hausbeck (2001a), in which the grouping found was based on the collection site. Likewise, in what was reported by Parada-Rojas and Quesada-Ocampo (2018), who, using microsatellites to analyze the genetic relationships of 50 P. capsici isolates originating in several USA states, find a population structure based on geographical origin. In Mexico, Castro-Rocha et al. (2016), analyzing the diversity of 80 isolates originating in the north and center of this country, using SNP-type markers, point out that the isolates from Chihuahua form two groups and the rest form three closely related groups, composed mainly of isolates from Aguascalientes, Guanajuato and Michoacán, finding a separation by regions of isolation.

If one considers what was pointed out by Brasier and Hansen (1992), that the genus Phytophthora has a strong selection for climate, so most of its species are found in areas of cool subtropical or tropical temperatures, and that humidity, nutrient content, pH and native microorganisms are factors that influence the adaptation of this pathogen. So, it seems that the differences between the environmental conditions of the regions of Guanajuato where the collections were carried out are the main factors that influenced the formation of the groups in this study.

The municipalities of the north of the state, San Luis de la Paz and Dolores Hidalgo, have a semi-dry climate, with an annual rainfall of 387.5 mm and an average annual temperature of 16 °C; Silao, Juventino Rosas and Cortázar, which are located in the center of the state, have a subtropical-subhumid climate with an annual rainfall of 688 mm and average annual temperature of 19.4 °C, very similar to the climatic conditions of Salvatierra, which is in the south of the state, with a predominantly humid temperate climate with an annual rainfall of 730 mm and average annual temperature of 18.1 °C (INEGI, 2013). Inconsistencies in the grouping by isolation site could be explained by sampling effects, genetic drift or crossing in small populations, which can lead to changes in genetic diversity (Goodwin, 1997) and consequently changes in the groupings.

All the isolates of P. capsici from Guanajuato were unique genotypes, this was expected by the results obtained in the genome sequencing project, where they report that the density and diversity of the variants of a single nucleotide between genomes of P. capsici is notably higher than in other eukaryotic genomes, which has confirmed that the isolates of P. capsici have a large genetic variation in the form of SNPs, which can occur as frequently as 1 in 40 bp (Lamour et al., 2012).

When including in the analysis their morphological and physiological characteristics described in a previous work (Pons et al., 2020), no clear association was found between the genetic groups with morphology, type of compatibility, sensitivity to mefenoxam, the type of chili pepper or the degree of virulence. This absence of correspondence was found in other Phytophthora spp. (Lebreton and Andrivon, 1998; Mahuku et al., 2000; Abu-El Samen et al., 2003), where no correlation was found between the groups defined by molecular markers and the virulence, type of mating or response to metalaxyl of the isolates analyzed.

Despite the absence of these correlations, the results of this work indicate that the population of Phytophthora capsici from Guanajuato maintain its characteristic of high levels of diversity, as has been reported in other populations of this pathogen by several authors (Lamour and Hausbeck 2001a; Hausbeck and Lamour 2004; Gevens et al., 2008; Hurtado-Gonzáles et al., 2008; Meitz et al., 2010; Lamour et al., 2011; Gobena et al., 2012). As the two types of mating were found in several of the collection municipalities (Pons et al., 2020), it is likely that a part of this diversity results from sexual recombination and another from mutations that, according to that reported by Goodwin (1997), is the primary source of the new genetic diversity in oomycetes. Regardless of its origin, the presence of genetic diversity in the population of P. capsici from Guanajuato indicates that there is a genetic potential in the population of pathogens for the development of resistance to fungicides and to overcome the defenses of the host, so it is necessary to monitor it continuously and consider it for the design of strategies for its control.

Conclusions

There is genotypic variability among P. capsici isolates from Guanajuato. All isolates of P. capsici from Guanajuato are unique genotypes since no clonal individuals were found. The genetic groups that form are based on the place of origin of the isolates. No clear association was found between genetic groups and virulence, mating type or response to metalaxyl in the isolates analyzed.

Acknowledgements

The results are part of the fiscal project: Development and transfer of sustainable technologies for the production of chili pepper and tomato in the field and greenhouse, No. 167834791.

REFERENCES

Abu-El Samen, F. M.; Secor, G. A. and Gudmestad, N. C. 2003. Genetic variation among asexual progeny of Phytophthora infestans detected with RAPD and AFLP markers. Plant Pathol. 52(3):314-325. https://doi.org/10.1046/j.1365-3059.2003.00858.x. [ Links ]

Brasier, C. M. and Hansen, E. 1992. Evolutionary biology of Phytophthora Part II: phylogeny, speciation, and population structure. Annual Rev. Phytopathol. 30(1):173-200. https://doi.org/10.1146/annurev.py.30.090192.001133. [ Links ]

Castro-Rocha, A.; Shrestha, S.; Lyon, B.; Grimaldo-Pantoja, G. L.; Flores-Marges, J. P.; Valero-Galván, J.; Aguirre-Ramírez, M.; Osuna-Ávila, P.; Gómez-Dorantes, N.; Ávila-Quezada, G.; Luna-Ruíz, J. J.; Rodríguez-Alvarado, G.; Fernández-Pavía, S. P. and Lamour, K. 2016. An initial assessment of genetic diversity for Phytophthora capsici in northern and central Mexico. Mycol Progress. 15(2):1-12. Doi 10.1007/s11557-016-1157-0. [ Links ]

Cavalli-Sforza, L. L. y Bodmer, W. F. 1981. Genética de las poblaciones humanas. (Ed.). Omega, Barcelona. 124-126 pp. [ Links ]

Doyle, J. J. and Doyle, J. L. 1987. A rapid DNA isolation procedure from small quantities of fresh leaf tissues. Phytochem. Bulletin. 19(1):11-15. http://irc.igd.cornell.edu/protocols/Doyle Protocol.pdf. [ Links ]

Erwin, D. C. and Ribeiro, O. K. 1996. Phytophthora Diseases Worldwide. APS PRESS. The American Phytopathological Society. St. Paul, Minnesota. 562 p. [ Links ]

Gevens, A. J.; Donahoo, R. S.; Lamour, K. H. and Hausbeck, M. K. 2008. Characterization of Phytophthora capsici causing foliar and pod blight of snap bean in Michigan. Plant Dis. 92(2):201-209. Doi:10.1094/PDIS-92-2-0201. [ Links ]

Gobena, D.; Roig, J.; Galmarini, C.; Hulvey, J. and Lamour, K. H. 2012. Genetic diversity of Phytophthora capsici isolates from pepper and pumpkin in Argentina. Mycologia. 104(1):102-107. Doi:10.3852/11-147. [ Links ]

Goodwin, S. B. 1997. The population genetics of Phytophthora. Phytopathology. 87(4):462-473. Doi: 10.1094/PHYTO.1997.87.4.462. [ Links ]

González-Pérez, E.; Yáñez-Morales, M.; Santiago-Santiago, V. y Montero-Pineda, A. 2004. Biodiversidad fungosa en la marchitez del chile y algunos factores involucrados, en Tlacotepec de José Manzo, El Verde, Puebla. Agrociencia. 38(6):653-661. http://www.redalyc.org/articulo.oa?id=30238609. [ Links ]

Granke, L. L.; Windstam, S. T.; Hoch, H. C.; Smart, C. D. and Hausbeck, M. K. 2009. Dispersal and movement mechanisms of Phytophthora capsici sporangia. Phytopathology . 99(11):1258-1264. https://doi.org/10.1094/Phyto-99-11-1258. [ Links ]

Granke, L. L.; Quesada-Ocampo, L. and Lamour, K. 2012. Advances in research on Phytophthora capsici on vegetable crops in the United States. Plant Dis . 95(11):1588-1600. https://doi.org/10.1094/PDIS-03-11-0190. [ Links ]

Gupta, P. K.; Varshney, R. K.; Sharma, P. C. and Ramesh, B. 1999. Molecular markers and their applications in wheat breeding. Plant Breed. 118(5):369-390. https://doi.org/10.1046/j.1439-0523.1999.00401.x. [ Links ]

Hausbeck, M. K. and Lamour, K. H. 2004. Phytophthora capsici on vegetable crops: research progress and management challenges. Plant Dis . 88(12):1292-1303. https://doi.org/ 10.1094 /PDIS.2004.88.12.1292. [ Links ]

Hurtado-Gonzáles, O.; Aragón-Caballero, L.; Apaza-Tapia, W.; Donahoo, R. and Lamour, K. 2008. Survival and spread of Phytophthora capsici in Coastal Peru. Phytopathology . 98(6):688-694. https://doi.org/10.1094/Phyto-98-6-0688. [ Links ]

INEGI. 2013. Instituto Nacional de Estadística y Geografía. Conociendo Guanajuato. Aguascalientes, Aguascalientes. México. Serie Conociendo México. Folleto informativo. 30 p. [ Links ]

Kersey, R.; Sanogo, S.; Carpenter, J. and Bosland, P. 2005. Determination of genetic diversity of Phytophthora capsici isolates in New Mexico with AFLP Markers. in Plant & Animal Genomes XIII Conference. 15-19 pp. [ Links ]

Lamour, K. H. and Hausbeck, M. K. 2001a. The dynamics of mefenoxam insensitivity in a recombining population of Phytophthora capsici characterized with amplified fragment length polymorphism markers. Phytopathology . 91(6):553-557. https://doi.org/10.1094/Phyto.2001.91.6.553. [ Links ]

Lamour, K. H. and Hausbeck, M. K. 2001b. Investigating the spatiotemporal genetic structure of Phytophthora capsici in Michigan. Phytopathology . 91(10):973-980. https://doi.org/10.1094/PHYTO.2001.91.10.973. [ Links ]

Lamour, K. H.; Stam, R.; Jupe, J. and Huitema, E. 2011. The oomycete broad-host-range pathogen Phytophthora capsici. Mol. Plant Pathol . 13(4):329-337. Doi: 10.1111/j.1364-3703.2011.00754.x. [ Links ]

Lamour, K.; Mudge, J.; Gobena, D.; Hurtado-Gonzáles, O.; Shmutz, J.; Kuo, A.; Miller, N. A.; Rice, B. J.; Raffaele, S.; Cano, L. M.; Bharti, A. K.; Donahoo, R. S.; Finley, S.; Huitema, E.; Hulvey, J.; Platt, D.; Salamov, A.; Savidor, A.; Sharma, R.; Stam, R.; Storey, D.; Thines, M.; Win, J.; Haas, B. J.; Dinwiddie, D. L.; Jenkins, J.; Knight, J. R.; Affourtit, J. P.; Han, C. S.; Chertkov, O.; Lindquist, E. A.; Detter, C.; Grigoriev, I. V.; Kamoun, S. and Kingsmore, S. K. 2012. Genome sequencing and mapping reveal loss of heterozygosity as a mechanism for rapid adaptation in the vegetable pathogen Phytophthora capsici. Mol. Plant-Microbe Interact. 25(10):1350-1360. Doi:10.1094/MPMI-02-12-0028-R. [ Links ]

Lebreton, L. and Andrivon, D. 1998. French isolates of Phytophthora infestans from potato and tomato differ in phenotype and genotype. Eur. J. Plant Pathol . 104(6):583-594. Doi:10.1023/A:1008662518345. [ Links ]

Martin, F. N.; Abad, Z. G.; Balci, Y. and Ivors, K. 2012. Identification and Detection of Phytophthora: Reviewing Our Progress, Identifying Our Needs. Plant Dis . 96(8):1080-1103. https://doi.org/10.1094/PDIS-12-11-1036-FE. [ Links ]

Mahuku, G.; Peters, R. D.; Platt, H. W. and Daayf, F. 2000. Random amplified polymorphic DNA (RAPD) analysis of Phytophthora infectants isolates collected in Canada during 1994 to 1996. Plant Pathol . 49(2):252-260. https://doi.org/10.1046/j.1365-3059.2000.00450.x. [ Links ]

McDonald, B. A. and Linde, C. 2002. Pathogen population genetics, evolutionary potential, and durable resistance. Annu. Rev. Phytopathol. 40(1):349-379. https://doi.org/10.1146/annurev.phyto.40.120501.101443. [ Links ]

Meitz, J. C.; Linde, C. C.; Thompson, A.; Langenhoven, S. and McLeod, A. 2010. Phytophthora capsici on vegetable hosts in South Africa: distribution, host range and genetic diversity. Australasia Plant Path. 39(5):431-439. https://doi.org/10.1071/AP09075. [ Links ]

Mitchell, D. J. and Kannwischer-Mitchell, M. E. 1995. Genetic, biochemical, and molecular techniques for the identification and detection of soilborne plant-pathogenic fungi. In: methods for research on soilborne phytopathogenic fungi. (Ed.). Singleton, L. L.; Mihail, J. D. and Crush, M. APS Press., USA. 95-98 pp. [ Links ]

Mohammadi, S. A. and Prasanna, B. M. 2003 Review and interpretation analysis of genetic diversity in crop plants-salient statistical tools. Crop Sci. 43(4):1235-1248. https://doi.org/10.2135/cropsci2003.1235. [ Links ]

Núñez-Colín, C. A. y Valadez-Moctezuma, E. 2010. Análisis estadístico de huellas genómicas. Un uso práctico de los paquetes computacionales más populares. INIFAP, Celaya, Guanajuato, México. 103 p. [ Links ]

Parada-Rojas, C. H. and Quesada-Ocampo, L. M. 2018. Analysis of microsatellites from transcriptome sequences of Phytophthora capsici and applications for population studies. Scientific Reports. 8(5194):1-12. https://doi.org/10.1038/s41598-018-23438-8. [ Links ]

Pons, H. J. L.; Guerrero-Aguilar, B. Z.; González-Chavira, M. M.; González-Pérez, E.; Villalobos-Reyes, S. y Muñoz-Sánchez, C. I. 2020. Variabilidad fenotípica de aislados de Phytophthora capsici en Guanajuato. Rev. Mex. Cienc. Agríc. 11(8):1891-1901. https://doi.org/10.29312/remexca.v11i8.2618. [ Links ]

Quesada-Ocampo, L. M.; Granke, L. L.; Mercier, M. R.; Olsen, J. and Hausbeck, M. K. 2011. Investigating the genetic structure of Phytophthora capsici populations. Phytopathology . 101(9):1061-1073. Doi: 10.1094/Phyto-11-10-0325. [ Links ]

Rohlf, F. J. 2005. NTSYSpc: numeral taxonomy and multivariate analysis system. Ver. 2.2. Exeter Software. Setauket, USA. 42 p. [ Links ]

Sneath, P. H. A. and Sokal, R. R. 1973. Numerical taxonomy-the principle and practice of numerical classification. Freeman, W. H. and Co., San Francisco. https://doi.org/10.2307/2412767. [ Links ]

Universidad Illinois. 2001. Phytophthora blight of pepper. Report on plant disease. Department of crop sciences, University of Illinois at Urbana-Champaign. RPD. 947 p. http://web.aces.uiuc.edu/vista/pdf-pubs/947.pdf. [ Links ]

Vos, P.; Hogers, R.; Bleeker, M.; Reijans, M.; Van der Lee, T.; Hornes, M.; Frijters, A.; Pot, J.; Peleman, J.; Kulper, M. and Zabeau, M. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res. 23(1):4407-4414. Doi: 10.1093/nar/23.21.4407. [ Links ]

Received: January 2022; Accepted: February 2022

§Corresponding author: gonzalez.mario@inifap.gob.mx.

Creative Commons License Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons