| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Semiárido. |
|
Data corrente: |
16/08/2023 |
|
Data da última atualização: |
16/08/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SANTOS, C. A. F.; AQUINO, D. A. L.; BATISTA, D. da C.; ALVES, E. O. S. |
|
Afiliação: |
CARLOS ANTONIO FERNANDES SANTOS, CPATSA; D. A. L. AQUINO, Universidade Estadual de Feira de Santana, Feira de Santana, BA; DIOGENES DA CRUZ BATISTA, CPATSA; E. O. S. ALVES, UPE. |
|
Título: |
Genome-wide association studies of resistance to dieback diseases in a pseudo-F2 mango population. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Genetics and Molecular Research, v. 22, n. 3, gmr19158, 2023. |
|
DOI: |
https://doi.org/10.4238/gmr19158 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Lasiodiplodia theobromae and Neofusicoccum parvum are important fungi affecting mango trees in Northeast Brazil, a prominent region of mango export. Genome-wide association studies in a ?Haden? × ?Tommy Atkins? mango pseudo-F2 population were performed for symptoms of both fungal diseases to support the development of new cultivars by applying marker-assisted selection. ?Haden? is resistant while ?Tommy Atkins? is susceptible to both fungal diseases. Single nucleotide polymorphism (SNP) and microsatellite data of 95 progenies were analyzed by allelic and genotypic association and by general (GLM) and mixed linear models (MLM). Artificial pathogen inoculation was performed on 15-year-old progenies by manually spraying a 103 conidia mL-1 suspension on young branches and leaves. The plants were considered resistant when the absence of symptoms was ≥ 90% over three different evaluations. Consensus genomic associations were identified on chromosome 12; position 10.60 Mb (Mi_0096) and 1 (Mango_rep_c1316) position 14.67 Mb, with a significant association with L. theobromae symptoms, accounting for 20% of the total variation. Additional regions identified exclusively by GLM and MLM analysis, in chromosomes 11 and 8 (positions 24.57 Mb and 9.34 MB, respectively), explain 36% of the symptoms variation of this disease. Consensus genomic associations were identified on chromosomes 2, position 20.49 Mb (Mango_rep_c9407) and 9, position 15.01 Mb (Mango_rep_c8984), with a significant association with N. parvum symptoms, accounting for 21% of total resistance to this fungus. An additional region identified exclusively by GLM and MLM analysis, in chromosome 12 (Mango_rep_c7620, position 14.29 MB), explains 29% of the total variation of this disease. Qualitative and quantitative genome association methods run together enabled the identification of consensus chromosomal regions controlling resistance to these diseases. These chromosome regions are candidates for saturation with SNPs or further genome data mining to apply marker-assisted selection in mangoes. MenosLasiodiplodia theobromae and Neofusicoccum parvum are important fungi affecting mango trees in Northeast Brazil, a prominent region of mango export. Genome-wide association studies in a ?Haden? × ?Tommy Atkins? mango pseudo-F2 population were performed for symptoms of both fungal diseases to support the development of new cultivars by applying marker-assisted selection. ?Haden? is resistant while ?Tommy Atkins? is susceptible to both fungal diseases. Single nucleotide polymorphism (SNP) and microsatellite data of 95 progenies were analyzed by allelic and genotypic association and by general (GLM) and mixed linear models (MLM). Artificial pathogen inoculation was performed on 15-year-old progenies by manually spraying a 103 conidia mL-1 suspension on young branches and leaves. The plants were considered resistant when the absence of symptoms was ≥ 90% over three different evaluations. Consensus genomic associations were identified on chromosome 12; position 10.60 Mb (Mi_0096) and 1 (Mango_rep_c1316) position 14.67 Mb, with a significant association with L. theobromae symptoms, accounting for 20% of the total variation. Additional regions identified exclusively by GLM and MLM analysis, in chromosomes 11 and 8 (positions 24.57 Mb and 9.34 MB, respectively), explain 36% of the symptoms variation of this disease. Consensus genomic associations were identified on chromosomes 2, position 20.49 Mb (Mango_rep_c9407) and 9, position 15.01 Mb (Mango_rep_c8984), with a significant... Mostrar Tudo |
|
Palavras-Chave: |
GWAS; Haden; Neofusicoccum parvum; PLINK; Tassel; Tommy Atkins. |
|
Thesagro: |
Doença; Doença Fúngica; Fungo; Lasiodiplodia Theobromae; Manga; Mangifera Indica; Melhoramento Genético Vegetal; Morte Descendente; Podridão Seca. |
|
Thesaurus Nal: |
Botryosphaeriaceae; Mangoes; Plant diseases and disorders. |
|
Categoria do assunto: |
H Saúde e Patologia |
|
Marc: |
LEADER 03189naa a2200385 a 4500
001 2155942
005 2023-08-16
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4238/gmr19158$2DOI
100 1 $aSANTOS, C. A. F.
245 $aGenome-wide association studies of resistance to dieback diseases in a pseudo-F2 mango population.$h[electronic resource]
260 $c2023
520 $aLasiodiplodia theobromae and Neofusicoccum parvum are important fungi affecting mango trees in Northeast Brazil, a prominent region of mango export. Genome-wide association studies in a ?Haden? × ?Tommy Atkins? mango pseudo-F2 population were performed for symptoms of both fungal diseases to support the development of new cultivars by applying marker-assisted selection. ?Haden? is resistant while ?Tommy Atkins? is susceptible to both fungal diseases. Single nucleotide polymorphism (SNP) and microsatellite data of 95 progenies were analyzed by allelic and genotypic association and by general (GLM) and mixed linear models (MLM). Artificial pathogen inoculation was performed on 15-year-old progenies by manually spraying a 103 conidia mL-1 suspension on young branches and leaves. The plants were considered resistant when the absence of symptoms was ≥ 90% over three different evaluations. Consensus genomic associations were identified on chromosome 12; position 10.60 Mb (Mi_0096) and 1 (Mango_rep_c1316) position 14.67 Mb, with a significant association with L. theobromae symptoms, accounting for 20% of the total variation. Additional regions identified exclusively by GLM and MLM analysis, in chromosomes 11 and 8 (positions 24.57 Mb and 9.34 MB, respectively), explain 36% of the symptoms variation of this disease. Consensus genomic associations were identified on chromosomes 2, position 20.49 Mb (Mango_rep_c9407) and 9, position 15.01 Mb (Mango_rep_c8984), with a significant association with N. parvum symptoms, accounting for 21% of total resistance to this fungus. An additional region identified exclusively by GLM and MLM analysis, in chromosome 12 (Mango_rep_c7620, position 14.29 MB), explains 29% of the total variation of this disease. Qualitative and quantitative genome association methods run together enabled the identification of consensus chromosomal regions controlling resistance to these diseases. These chromosome regions are candidates for saturation with SNPs or further genome data mining to apply marker-assisted selection in mangoes.
650 $aBotryosphaeriaceae
650 $aMangoes
650 $aPlant diseases and disorders
650 $aDoença
650 $aDoença Fúngica
650 $aFungo
650 $aLasiodiplodia Theobromae
650 $aManga
650 $aMangifera Indica
650 $aMelhoramento Genético Vegetal
650 $aMorte Descendente
650 $aPodridão Seca
653 $aGWAS
653 $aHaden
653 $aNeofusicoccum parvum
653 $aPLINK
653 $aTassel
653 $aTommy Atkins
700 1 $aAQUINO, D. A. L.
700 1 $aBATISTA, D. da C.
700 1 $aALVES, E. O. S.
773 $tGenetics and Molecular Research$gv. 22, n. 3, gmr19158, 2023.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Semiárido (CPATSA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 7 | |
| 2. |  | MORAES, M. S.; ROCHA, R. B.; TEIXEIRA, A. L.; ESPINDULA, M. C.; SILVA, C. A.; LUNZ, A. M. P. Adaptability and stability of Coffea canephora Pierre ex Froehner genotypes in the Western Amazon. Ciência Rural, v. 50, n. 1, e20190087, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Acre; Embrapa Rondônia. |
|    |
| 3. | | PAPA, D. de A.; ALMEIDA, D. R. A. de; SILVA, C. A.; FIGUEIREDO, E. O.; STARK, S. C.; VALBUENA, R.; RODRIGUEZ, L. C. E.; OLIVEIRA, M. V. N. d'. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management, v. 457, 1176342019, Feb. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre. |
| |
| 4. | | OLIVEIRA, M. V. N. d'; FIGUEIREDO, E. O.; ALMEIDA, D. R. A. de; OLIVEIRA, L. C. de; SILVA, C. A.; NELSON, B. W.; CUNHA, R. M. da; PAPA, D. de A.; STARK, S. C.; VALBUENA, R. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence. Forest Ecology and Management, v. 500, 119648, Nov. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre. |
|  |
| 5. | | OLIVEIRA, M. V. N. d'; BROADBENT, E. N.; OLIVEIRA, L. C. de; ALMEIDA, D. R. A.; PAPA, D. de A.; FERREIRA, M. E.; ZAMBRANO, A. M. A.; SILVA, C. A.; AVINO, F. S.; PRATA, G. A.; MELLO, R. A.; FIGUEIREDO, E. O.; JORGE, L. A. de C.; JUNIOR, L.; ALBUQUERQUE, R. W.; BRANCALION, P. H. S.; WILKINSON, B.; COSTA, M. O. da. Aboveground biomass estimation in Amazonian Tropical Forests: a comparison of aircraft- and GatorEye UAV- borne LiDAR data in the Chico Mendes Extractive Reserve in Acre, Brazil. Remote Sensing, v. 12, n. 11, 1754, May 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre; Embrapa Instrumentação. |
| |
| 6. | | ALMEIDA, D. R. A. de; ZAMBRANO, A. M. A.; BROADBENT, E. N.; WENDT, A. L.; FOSTER, P.; WILKINSON, B. E.; SALK, C.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; GORGENS, E. B.; SILVA, C. A.; BRANCALION, P. H. S.; FAGAN, M.; MELI, P.; CHAZDON, R. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. Biotropica, v. 52, n. 6, p. 1155-1167, Nov. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Acre. |
| |
| 7. | | ALMEIDA, D. R. A. de; BROADBENT, E. N.; FERREIRA, M. P.; MELI, P.; ZAMBRANO, A. M. A.; GORGENS, E. B.; RESENDE, A. F.; ALMEIDA, C. T. de; AMARAL, C. R. do; CORTE, A. P. D.; SILVA, C. A.; ROMANELLI, J. P.; PRATA, G. A.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; NELSON, B. W.; GUILLEMOT, J.; FÉRET, J. B.; CHAZDON, R.; BRANCALION, P. H. S. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. Remote Sensing of Environment, v. 264, 112582, Oct. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre. |
| |
| Registros recuperados : 7 | |
|
| Expressão de busca inválida. Verifique!!! |
|
|
