| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
|
Data corrente: |
28/04/2021 |
|
Data da última atualização: |
28/04/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CORNACINI, M. R.; MANOEL, R. O.; ALCANTARA, M. A. M.; MORAES, M. L. T.; SILVA, E. A. A.; PEREIRA NETO, L. G.; SEBBENN, A. M.; ROSSINI, B. C.; MARINO, C. L. |
|
Afiliação: |
MAIARA R. CORNACINI, UNESP, Botucatu-SP; RICARDO O. MANOEL, UNESP, Botucatu-SP; MARCELO A. M. ALCANTARA, UNESP, Botucatu-SP; MARIO L. T. MORAES, UNESP, Ilha Solteira-SP; EDVALDO A. A. SILVA, UNESP, Botucatu-SP; LEONEL GONCALVES PEREIRA NETO, CNPASA; ALEXANDRE M. SEBBENN, INSTITUTO FLORESTAL DE SÃO PAULO, Piracicaba-SP; BRUNO C. ROSSINI, UNESP, Botucatu-SP; CELSO L. MARINO, UNESP, Botucatu-SP. |
|
Título: |
Detection and application of novel SSR markers from transcriptome data for Astronium fraxinifolium Schott, a threatened Brazilian tree species. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Molecular Biology Reports, 2021. |
|
ISSN: |
0301-4851 |
|
DOI: |
https://doi.org/10.1007/s11033-021-06338-5 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Astronium fraxinifolium is an endangered tree species from Brazil. Due to its significance in environmental reforestation, as well as the continued exploitation of its wood, it is necessary to develop management programs that support the conservation of the species. Simple sequence repeats (SSR) or microsatellite markers are widely used in population genetic studies across a range of diverse organisms. In this study, we present the first SSR markers developed for A. fraxinifolium as well as their frequency and distribution based on transcriptome data. From transcriptome data, we identified more than 100 thousand sequences presenting microsatellites, with a predominant distribution of trinucleotide repeats. From the initial screening, we selected 20 microsatellite loci which were validated and evaluated for genetic indices in two natural populations. All loci were polymorphic, ranging from four to 11 alleles per locus. The observed and expected heterozygosities ranged from 0 to 1.0 and from 0.533 to 1.0, respectively, while the genetic differentiation (GST = 0.363) was greater within than between populations. The developed SSR loci from RNA-Seq data provides a foundation for future studies on genetic diversity and population structure, mating system, and gene flow for A. fraxinifolium populations and related species, aiming at conservation and management. |
|
Palavras-Chave: |
Conservation genetics; Microsatellite markers. |
|
Thesagro: |
Anacardiaceae; Astronium Fraxinifolium. |
|
Thesaurus Nal: |
Conservation plants; Genetic markers; Microsatellite repeats; Population genetics. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222904/1/mbr-2021.pdf
|
|
Marc: |
LEADER 02452naa a2200337 a 4500
001 2131540
005 2021-04-28
008 2021 bl uuuu u00u1 u #d
022 $a0301-4851
024 7 $ahttps://doi.org/10.1007/s11033-021-06338-5$2DOI
100 1 $aCORNACINI, M. R.
245 $aDetection and application of novel SSR markers from transcriptome data for Astronium fraxinifolium Schott, a threatened Brazilian tree species.$h[electronic resource]
260 $c2021
520 $aAstronium fraxinifolium is an endangered tree species from Brazil. Due to its significance in environmental reforestation, as well as the continued exploitation of its wood, it is necessary to develop management programs that support the conservation of the species. Simple sequence repeats (SSR) or microsatellite markers are widely used in population genetic studies across a range of diverse organisms. In this study, we present the first SSR markers developed for A. fraxinifolium as well as their frequency and distribution based on transcriptome data. From transcriptome data, we identified more than 100 thousand sequences presenting microsatellites, with a predominant distribution of trinucleotide repeats. From the initial screening, we selected 20 microsatellite loci which were validated and evaluated for genetic indices in two natural populations. All loci were polymorphic, ranging from four to 11 alleles per locus. The observed and expected heterozygosities ranged from 0 to 1.0 and from 0.533 to 1.0, respectively, while the genetic differentiation (GST = 0.363) was greater within than between populations. The developed SSR loci from RNA-Seq data provides a foundation for future studies on genetic diversity and population structure, mating system, and gene flow for A. fraxinifolium populations and related species, aiming at conservation and management.
650 $aConservation plants
650 $aGenetic markers
650 $aMicrosatellite repeats
650 $aPopulation genetics
650 $aAnacardiaceae
650 $aAstronium Fraxinifolium
653 $aConservation genetics
653 $aMicrosatellite markers
700 1 $aMANOEL, R. O.
700 1 $aALCANTARA, M. A. M.
700 1 $aMORAES, M. L. T.
700 1 $aSILVA, E. A. A.
700 1 $aPEREIRA NETO, L. G.
700 1 $aSEBBENN, A. M.
700 1 $aROSSINI, B. C.
700 1 $aMARINO, C. L.
773 $tMolecular Biology Reports, 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Agroenergia; Embrapa Café. |
|
Data corrente: |
24/06/2021 |
|
Data da última atualização: |
24/06/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F; ALVES, R. A.; LAVIOLA, B. G.; SILVA, F. F. e; RESENDE, M. D. V. de; BHERING, L. L. |
|
Afiliação: |
MARCO ANTÔNIO PEIXOTO, Universidade Federal de Viçosa; JENIFFER SANTANA PINTO COELHO EVANGELISTA, Universidade Federal de Viçosa; IGOR FERREIRA COELHO, Universidade Federal de Viçosa; RODRIGO SILVA ALVES, Universidade Federal de Viçosa; BRUNO GALVEAS LAVIOLA, CNPAE; FABYANO FONSECA E SILVA, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPCa; LEONARDO LOPES BHERING, Universidade Federal de Viçosa. |
|
Título: |
Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
PLOS ONE , v. 16, n. 3, e0247775, Mar. 2021. |
|
Volume: |
16 |
|
ISSN: |
1932-6203 |
|
DOI: |
https://doi.org/10.1371/journal.pone.0247775 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Multiple-trait model tends to be the best alternative for the analysis of repeated measures, since they consider the genetic and residual correlations between measures and improve the selective accuracy. Thus, the objective of this study was to propose a multiple-trait Bayesian model for repeated measures analysis in Jatropha curcas breeding for bioenergy. To this end, the grain yield trait of 730 individuals of 73 half-sib families was evaluated over six harvests. The Markov Chain Monte Carlo algorithm was used to estimate genetic parameters and genetic values. Genetic correlation between pairs of measures were estimated and four selective intensities (27.4%, 20.5%, 13.7%, and 6.9%) were used to compute the selection gains. The full model was selected based on deviance information criterion. Genetic correlations of low, moderate, and high magnitude were observed between pairs of harvests. Bayesian analyses provide robust inference of genetic parameters and genetic values, with high selective accuracies. In summary, the multiple-trait Bayesian model allowed the reliable selection of superior Jatropha curcas progenies. Therefore, we recommend this model to genetic evaluation of Jatropha curcas genotypes, and its generalization, in other perennials. |
|
Thesagro: |
Bioenergia. |
|
Thesaurus NAL: |
Bioenergy; Biofuels; Genetic polymorphism; Petroleum; Vegetable oil. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224043/1/Multiple-trait-model-2021.pdf
|
|
Marc: |
LEADER 02186naa a2200325 a 4500
001 2132550
005 2021-06-24
008 2021 bl uuuu u00u1 u #d
022 $a1932-6203
024 7 $ahttps://doi.org/10.1371/journal.pone.0247775$2DOI
100 1 $aPEIXOTO, M. A.
245 $aMultiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy.$h[electronic resource]
260 $c2021
300 $a16
490 $v16
520 $aMultiple-trait model tends to be the best alternative for the analysis of repeated measures, since they consider the genetic and residual correlations between measures and improve the selective accuracy. Thus, the objective of this study was to propose a multiple-trait Bayesian model for repeated measures analysis in Jatropha curcas breeding for bioenergy. To this end, the grain yield trait of 730 individuals of 73 half-sib families was evaluated over six harvests. The Markov Chain Monte Carlo algorithm was used to estimate genetic parameters and genetic values. Genetic correlation between pairs of measures were estimated and four selective intensities (27.4%, 20.5%, 13.7%, and 6.9%) were used to compute the selection gains. The full model was selected based on deviance information criterion. Genetic correlations of low, moderate, and high magnitude were observed between pairs of harvests. Bayesian analyses provide robust inference of genetic parameters and genetic values, with high selective accuracies. In summary, the multiple-trait Bayesian model allowed the reliable selection of superior Jatropha curcas progenies. Therefore, we recommend this model to genetic evaluation of Jatropha curcas genotypes, and its generalization, in other perennials.
650 $aBioenergy
650 $aBiofuels
650 $aGenetic polymorphism
650 $aPetroleum
650 $aVegetable oil
650 $aBioenergia
700 1 $aEVANGELISTA, J. S. P. C.
700 1 $aCOELHO, I. F
700 1 $aALVES, R. A.
700 1 $aLAVIOLA, B. G.
700 1 $aSILVA, F. F. e
700 1 $aRESENDE, M. D. V. de
700 1 $aBHERING, L. L.
773 $tPLOS ONE$gv. 16, n. 3, e0247775, Mar. 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agroenergia (CNPAE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
