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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
28/10/2015 |
Data da última atualização: |
18/05/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Estimation of genetic structure of a Mycosphaerella musicola population using inter-simple sequence repeat markers. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Genetics and Molecular Research, v.14, n. 3, p. 8046-8057, 2015. |
DOI: |
http://dx.doi.org/10.4238/2015.July.17.13 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Doenlça de planta; Marcado genético; Plant diseases. |
Thesagro: |
Banana. |
Thesaurus Nal: |
Genetic markers. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02711naa a2200289 a 4500 001 2027411 005 2023-05-18 008 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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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
06/08/2015 |
Data da última atualização: |
06/08/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BARTZA, M. L. C.; BROWN, G. G.; ROSA, M. G. da; KLAUBERG FILHO, O.; JAMES, S. W.; DECAËNS, T.; BARETTA, D. |
Afiliação: |
Marie Luise Carolina Bartza, Universidade Positivo; GEORGE GARDNER BROWN, CNPF; Marcio Gonçalves da Rosa, Universidade do Estado de Santa Catarina; Osmar Klauberg Filho, Universidade do Estado de Santa Catarina; Samuel Wooster James, Univeristy of Iowa; Thibaud Decaëns, Université de Rouen; Dilmar Baretta, Universidade do Estado de Santa Catarina. |
Título: |
Earthworm richness in land-use systems in Santa Catarina, Brazil. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Applied Soil Ecology, v. 83, p. 59-70, Nov. 2014. |
DOI: |
http://dx.doi.org/10.1016/j.apsoil.2014.03.003 |
Idioma: |
Inglês |
Notas: |
XVI International Colloquium on Soil Zoology & XIII International Colloquium on Apterygota, 2012, Coimbra. Selected papers. |
Conteúdo: |
Brazil is a megadiverse country from which around 10% of all species are known. However, many areasin Brazil have not been adequately studied, particularly for soil animals. This includes the state of SantaCatarina, where only 18 of the approximately 300 known Brazilian earthworm species occur, and wherevery little is known of the impacts of land use management on earthworm populations (density anddiversity). Therefore, the aim of this study was to evaluate earthworm species richness in five differentland-use systems (LUS) with increasing anthropogenic impact: native forest (NF), eucalyptus plantation(EP), pasture (PA), integrated crop-livestock (ICL) and no-tillage cropping (NT), in six counties, threeeach from the Western and Plateau regions of the state. Nine monoliths of 25 cm × 25 cm × 20 cm depthwere sampled at each site and worms hand sorted. Qualitative samples were also taken by digging atleast 20 holes per site to improve the likelihood of collecting rare species. Samples were taken in theWinter and Summer months of 2011?2012 (July?August 2011, December 2011?January 2012). Contraryto expectations, species richness was higher in LUS with higher (ICL and NT = 15 and 17 spp.) vs. loweranthropogenic impacts (EP, PA, NF = 9?10 spp.), mainly due to the presence of exotic species in the crop-ping systems. Native species predominated in PA and NF, although natives were also found in highlydisturbed ecosystems (NT, ICL) and in the West region all worms collected in NT were native. In total24 species were identified in all LUS, with 19 native species, including several that were new to science.Several species were collected exclusively in each region, and overall qualitative samples yielded 24species while quantitative samples only 16. Therefore, qualitative sampling appears to be more effectivein determining earthworm species richness at regional levels, although quantitative samples are a usefuladdition when LUS are compared within a region, and if abundance and diversity index calculations areneeded. MenosBrazil is a megadiverse country from which around 10% of all species are known. However, many areasin Brazil have not been adequately studied, particularly for soil animals. This includes the state of SantaCatarina, where only 18 of the approximately 300 known Brazilian earthworm species occur, and wherevery little is known of the impacts of land use management on earthworm populations (density anddiversity). Therefore, the aim of this study was to evaluate earthworm species richness in five differentland-use systems (LUS) with increasing anthropogenic impact: native forest (NF), eucalyptus plantation(EP), pasture (PA), integrated crop-livestock (ICL) and no-tillage cropping (NT), in six counties, threeeach from the Western and Plateau regions of the state. Nine monoliths of 25 cm × 25 cm × 20 cm depthwere sampled at each site and worms hand sorted. Qualitative samples were also taken by digging atleast 20 holes per site to improve the likelihood of collecting rare species. Samples were taken in theWinter and Summer months of 2011?2012 (July?August 2011, December 2011?January 2012). Contraryto expectations, species richness was higher in LUS with higher (ICL and NT = 15 and 17 spp.) vs. loweranthropogenic impacts (EP, PA, NF = 9?10 spp.), mainly due to the presence of exotic species in the crop-ping systems. Native species predominated in PA and NF, although natives were also found in highlydisturbed ecosystems (NT, ICL) and in the West region all worms collected in NT were ... Mostrar Tudo |
Palavras-Chave: |
Agricultural sites; Atlantic rainforest; Earthworm; Floresta Atlântica; Land-use intensification; Pasture; Zona agrícola. |
Thesagro: |
Biodiversidade; Minhoca; Pastagem; Uso da Terra. |
Thesaurus NAL: |
biodiversity; Oligochaeta. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03188naa a2200373 a 4500 001 2021458 005 2015-08-06 008 2014 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.1016/j.apsoil.2014.03.003$2DOI 100 1 $aBARTZA, M. L. C. 245 $aEarthworm richness in land-use systems in Santa Catarina, Brazil.$h[electronic resource] 260 $c2014 500 $aXVI International Colloquium on Soil Zoology & XIII International Colloquium on Apterygota, 2012, Coimbra. Selected papers. 520 $aBrazil is a megadiverse country from which around 10% of all species are known. However, many areasin Brazil have not been adequately studied, particularly for soil animals. This includes the state of SantaCatarina, where only 18 of the approximately 300 known Brazilian earthworm species occur, and wherevery little is known of the impacts of land use management on earthworm populations (density anddiversity). Therefore, the aim of this study was to evaluate earthworm species richness in five differentland-use systems (LUS) with increasing anthropogenic impact: native forest (NF), eucalyptus plantation(EP), pasture (PA), integrated crop-livestock (ICL) and no-tillage cropping (NT), in six counties, threeeach from the Western and Plateau regions of the state. Nine monoliths of 25 cm × 25 cm × 20 cm depthwere sampled at each site and worms hand sorted. Qualitative samples were also taken by digging atleast 20 holes per site to improve the likelihood of collecting rare species. Samples were taken in theWinter and Summer months of 2011?2012 (July?August 2011, December 2011?January 2012). Contraryto expectations, species richness was higher in LUS with higher (ICL and NT = 15 and 17 spp.) vs. loweranthropogenic impacts (EP, PA, NF = 9?10 spp.), mainly due to the presence of exotic species in the crop-ping systems. Native species predominated in PA and NF, although natives were also found in highlydisturbed ecosystems (NT, ICL) and in the West region all worms collected in NT were native. In total24 species were identified in all LUS, with 19 native species, including several that were new to science.Several species were collected exclusively in each region, and overall qualitative samples yielded 24species while quantitative samples only 16. Therefore, qualitative sampling appears to be more effectivein determining earthworm species richness at regional levels, although quantitative samples are a usefuladdition when LUS are compared within a region, and if abundance and diversity index calculations areneeded. 650 $abiodiversity 650 $aOligochaeta 650 $aBiodiversidade 650 $aMinhoca 650 $aPastagem 650 $aUso da Terra 653 $aAgricultural sites 653 $aAtlantic rainforest 653 $aEarthworm 653 $aFloresta Atlântica 653 $aLand-use intensification 653 $aPasture 653 $aZona agrícola 700 1 $aBROWN, G. G. 700 1 $aROSA, M. G. da 700 1 $aKLAUBERG FILHO, O. 700 1 $aJAMES, S. W. 700 1 $aDECAËNS, T. 700 1 $aBARETTA, D. 773 $tApplied Soil Ecology$gv. 83, p. 59-70, Nov. 2014.
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