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| 6. |  | SESSO, P. P.; PEREIRA, L. F. P.; SESSO FILHO, U. A.; ZAPPAROLI, I. D. Análise exploratória de dados espaciais da produção de café no estado do Paraná, 1980-2018. Cadernos de Ciência & Tecnologia, v. 37, n. 3, e26768, 2020. Título em inglês: Exploratory analysis of spatial data of the coffee production in Paraná state, 1980-2018.| Biblioteca(s): Embrapa Café; Embrapa Unidades Centrais. |
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| 12. | | ANGELO, P. C. da S.; PEREIRA, L. F. P.; SERA, G. H.; SETA, T. Coffee microspore cultivation to attain doubled-haploid plantlets. Acta Horticulturae, v. 31, n. 1359, p. 123-130, 2023. Apresentado no INTERNATIONAL HORTICULTURAL CONGRESS, 31., 2022, Angers, França.| Biblioteca(s): Embrapa Café. |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
09/01/2023 |
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Data da última atualização: |
07/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MENDONÇA, H. C.; PEREIRA, L. F. P.; SANTOS, J. V. M. dos; MEDA, A. R.; SANT?ANA, G. C. |
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Afiliação: |
HEITOR CALUX MENDONÇA, UNIVERSIDADE ESTADUAL DE LONDRINA; LUIZ FILIPE PROTASIO PEREIRA, CNPCa; JOÃO VITOR MALDONADO DOS SANTOS, TROPICAL MELHORAMENTO E GENÉTICA; ANDERSON ROTTER MEDA, TROPICAL MELHORAMENTO E GENÉTICA; GUSTAVO CÉSAR SANT'ANA, TROPICAL MELHORAMENTO E GENÉTICA. |
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Título: |
Genetic diversity and selection footprints in the genome of brazilian soybean cultivars. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 13, 2022. |
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Páginas: |
12 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Although Brazil is currently the largest soybean producer in the world, only a small number of studies have analyzed the genetic diversity of Brazilian soybean. These studies have shown the existence of a narrow genetic base. The objectives of this work were to analyze the population structure and genetic diversity, and to identify selection signatures in the genome of soybean germplasms from different companies in Brazil. A panel consisting of 343 soybean lines from Brazil, North America, and Asia was genotyped using genotyping by sequencing (GBS). Population structure was assessed by Bayesian and multivariate approaches. Genetic diversity was analyzed using metrics such as the fixation index, nucleotide diversity, genetic dissimilarity, and linkage disequilibrium. The software BayeScan was used to detect selection signatures between Brazilian and Asian accessions as well as among Brazilian germplasms. Region of origin, company of origin, and relative maturity group (RMG) all had a significant influence on population structure. Varieties belonging to the same company and especially to the same RMG exhibited a high level of genetic similarity. This result was exacerbated among early maturing accessions. Brazilian soybean showed significantly lower genetic diversity when compared to Asian accessions. This was expected, because the crop?s region of origin is its main genetic diversity reserve. We identified 7 genomic regions under selection between the Brazilian and Asian accessions, and 27 among Brazilian varieties developed by different companies. Associated with these genomic regions, we found 96 quantitative trait loci (QTLs) for important soybean breeding traits such as flowering, maturity, plant architecture, productivity components, pathogen resistance, and seed composition. Some of the QTLs associated with the markers under selection have genes of great importance to soybean?s regional adaptation. The results reported herein allowed to expand the knowledge about the organization of the genetic variability of the Brazilian soybean germplasm. Furthermore, it was possible to identify genomic regions under selection possibly associated with the adaptation of soybean to Brazilian environments. MenosAlthough Brazil is currently the largest soybean producer in the world, only a small number of studies have analyzed the genetic diversity of Brazilian soybean. These studies have shown the existence of a narrow genetic base. The objectives of this work were to analyze the population structure and genetic diversity, and to identify selection signatures in the genome of soybean germplasms from different companies in Brazil. A panel consisting of 343 soybean lines from Brazil, North America, and Asia was genotyped using genotyping by sequencing (GBS). Population structure was assessed by Bayesian and multivariate approaches. Genetic diversity was analyzed using metrics such as the fixation index, nucleotide diversity, genetic dissimilarity, and linkage disequilibrium. The software BayeScan was used to detect selection signatures between Brazilian and Asian accessions as well as among Brazilian germplasms. Region of origin, company of origin, and relative maturity group (RMG) all had a significant influence on population structure. Varieties belonging to the same company and especially to the same RMG exhibited a high level of genetic similarity. This result was exacerbated among early maturing accessions. Brazilian soybean showed significantly lower genetic diversity when compared to Asian accessions. This was expected, because the crop?s region of origin is its main genetic diversity reserve. We identified 7 genomic regions under selection between the Brazilian and Asian acce... Mostrar Tudo |
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Thesaurus NAL: |
Genetic variance; Genome; Soybeans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150814/1/Genetic-Diversity-and-Selection.pdf
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Marc: |
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100 1 $aMENDONÇA, H. C.
245 $aGenetic diversity and selection footprints in the genome of brazilian soybean cultivars.$h[electronic resource]
260 $c2022
300 $a12 p.
520 $aAlthough Brazil is currently the largest soybean producer in the world, only a small number of studies have analyzed the genetic diversity of Brazilian soybean. These studies have shown the existence of a narrow genetic base. The objectives of this work were to analyze the population structure and genetic diversity, and to identify selection signatures in the genome of soybean germplasms from different companies in Brazil. A panel consisting of 343 soybean lines from Brazil, North America, and Asia was genotyped using genotyping by sequencing (GBS). Population structure was assessed by Bayesian and multivariate approaches. Genetic diversity was analyzed using metrics such as the fixation index, nucleotide diversity, genetic dissimilarity, and linkage disequilibrium. The software BayeScan was used to detect selection signatures between Brazilian and Asian accessions as well as among Brazilian germplasms. Region of origin, company of origin, and relative maturity group (RMG) all had a significant influence on population structure. Varieties belonging to the same company and especially to the same RMG exhibited a high level of genetic similarity. This result was exacerbated among early maturing accessions. Brazilian soybean showed significantly lower genetic diversity when compared to Asian accessions. This was expected, because the crop?s region of origin is its main genetic diversity reserve. We identified 7 genomic regions under selection between the Brazilian and Asian accessions, and 27 among Brazilian varieties developed by different companies. Associated with these genomic regions, we found 96 quantitative trait loci (QTLs) for important soybean breeding traits such as flowering, maturity, plant architecture, productivity components, pathogen resistance, and seed composition. Some of the QTLs associated with the markers under selection have genes of great importance to soybean?s regional adaptation. The results reported herein allowed to expand the knowledge about the organization of the genetic variability of the Brazilian soybean germplasm. Furthermore, it was possible to identify genomic regions under selection possibly associated with the adaptation of soybean to Brazilian environments.
650 $aGenetic variance
650 $aGenome
650 $aSoybeans
700 1 $aPEREIRA, L. F. P.
700 1 $aSANTOS, J. V. M. dos
700 1 $aMEDA, A. R.
700 1 $aSANT?ANA, G. C.
773 $tFrontiers in Plant Science$gv. 13, 2022.
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