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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
28/10/2015 |
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Data da última atualização: |
18/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEIXOUTO, Y. S.; BRAGANÇA, C. A. D.; ANDRADE, W. B.; FERREIRA, C. F.; HADDAD, F.; OLIVEIRA, S. A. S. de; BRITO, F. S. D.; MILLER, R. N. G.; AMORIM, E. P. |
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Afiliação: |
Y. S. PEIXOUTO, UFRB; C. A. DÓREA BRAGANÇA; W. B. ANDRADE, UFRB; CLAUDIA FORTES FERREIRA, CNPMF; FERNANDO HADDAD, CNPMF; SAULO ALVES SANTOS DE OLIVEIRA, CNPMF; F. S. DAROSCI BRITO, UNB; R. N. G. MILLER, UNB; EDSON PERITO AMORIM, CNPMF. |
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Título: |
Estimation of genetic structure of a Mycosphaerella musicola population using inter-simple sequence repeat markers. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v.14, n. 3, p. 8046-8057, 2015. |
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DOI: |
http://dx.doi.org/10.4238/2015.July.17.13 |
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Idioma: |
Inglês |
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Conteúdo: |
Among the diseases affecting banana (Musa sp), yellow Sigatoka, caused by the fungal pathogen Mycosphaerella musicola Leach, is considered one of the most important in Brazil, causing losses throughout the year. Understanding the genetic structure of pathogen populations will provide insight into the life history of pathogens, including the evolutionary processes occurring in agrosystems. Tools for estimating the possible emergence of pathogen variants with altered pathogenicity, virulence, or aggressiveness, as well as resistance to systemic fungicides, can also be developed from such data. The objective of this study was to analyze the genetic diversity and population genetics of M. musicola in the main banana-producing regions in Brazil. A total of 83 isolates collected from different banana cultivars in the Brazilian states of Bahia, Rio Grande do Norte, and Minas Gerais were evaluated using inter-simple sequence repeat markers. High variability was detected between the isolates, and 85.5% of the haplotypes were singletons in the populations. The highest source of genetic diversity Genetic structure of M. musicola population 8047 Genetics and Molecular Research 14 (3): 8046-8057 (2015) ©FUNPEC-RP www.funpecrp.com.br (97.22%) was attributed to variations within populations. Bayesian cluster analysis revealed the presence of 2 probable ancestral groups, however, showed no relationship to population structure in terms of collection site, state of origin, or cultivar. Similarly, we detected noevidence of genetic recombination between individuals within different states, indicating that asexual cycles play a major role in M. musicola reproduction and that long-distance dispersal of the pathogen is the main factor contributing to the lack of population structure in the fungus. MenosAmong the diseases affecting banana (Musa sp), yellow Sigatoka, caused by the fungal pathogen Mycosphaerella musicola Leach, is considered one of the most important in Brazil, causing losses throughout the year. Understanding the genetic structure of pathogen populations will provide insight into the life history of pathogens, including the evolutionary processes occurring in agrosystems. Tools for estimating the possible emergence of pathogen variants with altered pathogenicity, virulence, or aggressiveness, as well as resistance to systemic fungicides, can also be developed from such data. The objective of this study was to analyze the genetic diversity and population genetics of M. musicola in the main banana-producing regions in Brazil. A total of 83 isolates collected from different banana cultivars in the Brazilian states of Bahia, Rio Grande do Norte, and Minas Gerais were evaluated using inter-simple sequence repeat markers. High variability was detected between the isolates, and 85.5% of the haplotypes were singletons in the populations. The highest source of genetic diversity Genetic structure of M. musicola population 8047 Genetics and Molecular Research 14 (3): 8046-8057 (2015) ©FUNPEC-RP www.funpecrp.com.br (97.22%) was attributed to variations within populations. Bayesian cluster analysis revealed the presence of 2 probable ancestral groups, however, showed no relationship to population structure in terms of collection site, state of origin, or cultivar. Simila... Mostrar Tudo |
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Palavras-Chave: |
Doenlça de planta; Marcado genético; Plant diseases. |
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Thesagro: |
Banana. |
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Thesaurus Nal: |
Genetic markers. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02711naa a2200289 a 4500
001 2027411
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008 2015 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/2015.July.17.13$2DOI
100 1 $aPEIXOUTO, Y. S.
245 $aEstimation of genetic structure of a Mycosphaerella musicola population using inter-simple sequence repeat markers.$h[electronic resource]
260 $c2015
520 $aAmong the diseases affecting banana (Musa sp), yellow Sigatoka, caused by the fungal pathogen Mycosphaerella musicola Leach, is considered one of the most important in Brazil, causing losses throughout the year. Understanding the genetic structure of pathogen populations will provide insight into the life history of pathogens, including the evolutionary processes occurring in agrosystems. Tools for estimating the possible emergence of pathogen variants with altered pathogenicity, virulence, or aggressiveness, as well as resistance to systemic fungicides, can also be developed from such data. The objective of this study was to analyze the genetic diversity and population genetics of M. musicola in the main banana-producing regions in Brazil. A total of 83 isolates collected from different banana cultivars in the Brazilian states of Bahia, Rio Grande do Norte, and Minas Gerais were evaluated using inter-simple sequence repeat markers. High variability was detected between the isolates, and 85.5% of the haplotypes were singletons in the populations. The highest source of genetic diversity Genetic structure of M. musicola population 8047 Genetics and Molecular Research 14 (3): 8046-8057 (2015) ©FUNPEC-RP www.funpecrp.com.br (97.22%) was attributed to variations within populations. Bayesian cluster analysis revealed the presence of 2 probable ancestral groups, however, showed no relationship to population structure in terms of collection site, state of origin, or cultivar. Similarly, we detected noevidence of genetic recombination between individuals within different states, indicating that asexual cycles play a major role in M. musicola reproduction and that long-distance dispersal of the pathogen is the main factor contributing to the lack of population structure in the fungus.
650 $aGenetic markers
650 $aBanana
653 $aDoenlça de planta
653 $aMarcado genético
653 $aPlant diseases
700 1 $aBRAGANÇA, C. A. D.
700 1 $aANDRADE, W. B.
700 1 $aFERREIRA, C. F.
700 1 $aHADDAD, F.
700 1 $aOLIVEIRA, S. A. S. de
700 1 $aBRITO, F. S. D.
700 1 $aMILLER, R. N. G.
700 1 $aAMORIM, E. P.
773 $tGenetics and Molecular Research$gv.14, n. 3, p. 8046-8057, 2015.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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| 1. |  | RAHMATI, M.; WEIHERMÜLLER, L.; VANDERBORGHT, J.; PACHEPSKY, Y. A.; MAO, L.; SADEGHI, S. H.; MOOSAVI, N.; KHEIRFAM, H.; MONTZKA, C.; VAN LOOY, K.; TOTH, B.; HAZBAVI, Z.; AL YAMANI, W.; ALBALASMEH, A. A.; ALGHZAWI, M. Z.; ANGULO-JARAMILLO, R.; ANTONINO, A. C. D.; ARAMPATZIS, G.; ARMINDO, R. A.; ASADI, H.; BAMUTAZE, Y.; BATLLE-AGUILAR, J.; BÉCHET, B.; BECKER, F.; BLÖSCHL, G.; BOHNE, K.; BRAUD, I.; CASTELLANO, C.; CERDÀ, A.; CHALHOUB, M.; CICHOTA, R.; CÍSLEROVÁ, M.; CLOTHIER, B.; COQUET, Y.; CORNELIS, W.; CORRADINI, C.; COUTINHO, A. P.; OLIVEIRA, M. B. de; MACEDO, J. R. de; DURÃES, M. F.; EMAMI, H.; ESKANDARI, I.; FARAJNIA, A.; FLAMMINI, A.; FODOR, N.; GHARAIBEH, M.; GHAVIMIPANAH, M. H.; GHEZZEHEI, T. A.; GIERTZ, S.; HATZIGIANNAKIS, E. G.; HORN, R.; JIMÉNEZ, J. J.; JACQUES, D.; KEESSTRA, S. D.; KELISHADI, H.; KIANI-HARCHEGANI, M.; KOUSELOU, M.; KUMAR JHA, M.; LASSABATERE, L.; LI, X.; LIEBIG, M. A.; LICHNER, L.; LÓPEZ, M. V.; MACHIWAL, D.; MALLANTS, D.; MALLMANN, M. S.; MARQUES, J. D. de O.; MARSHALL, M. R.; MERTENS, J.; MEUNIER, F.; MOHAMMADI, M. H.; MOHANTY, B. P.; PULIDO-MONCADA, M.; MONTENEGRO, S.; MORBIDELLI, R.; MORET-FERNÁNDEZ, D.; MOOSAVI, A. A.; MOSADDEGHI, M. R.; MOUSAVI, S. B.; MOZAFFARI, H.; NABIOLLAHI, K.; NEYSHABOURI, M. R.; OTTONI, M. V.; OTTONI FILHO, T. B.; PAHLAVAN-RAD, M. R.; PANAGOPOULOS, A.; PETH, S.; PEYNEAU, P.-E.; PICCIAFUOCO, T.; POESEN, J.; PULIDO, M.; REINERT, D. J.; REINSCH, S.; REZAEI, M.; ROBERTS, F. P.; ROBINSON, D.; RODRIGO-COMINO, J.; ROTUNNO FILHO, O. C.; SAITO, T.; SUGANUMA, H.; SALTALIPPI, C.; SÁNDOR, R.; SCHÜTT, B.; SEEGER, M.; SEPEHRNIA, N.; SHARIFI MOGHADDAM, E.; SHUKLA, M.; SHUTARO, S.; SORANDO, R.; STANLEY, A. A.; STRAUSS, P.; SU, Z.; TAGHIZADEH-MEHRJARDI, R.; TAGUAS, E.; TEIXEIRA, W. G.; VAEZI, A. R.; VAFAKHAH, M.; VOGEL, T.; VOGELER, I.; VOTRUBOVA, J.; WERNER, S.; WINARSKI, T.; YILMAZ, D.; YOUNG, M. H.; ZACHARIAS, S.; ZENG, Y.; ZHAO, Y.; ZHAO, H.; VEREECKEN, H. Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, v. 10, n. 3, p. 1237-1263, 2018.| Biblioteca(s): Embrapa Solos. |
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