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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
07/11/2019 |
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Data da última atualização: |
07/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANTUNES, G. dos R.; SANTANA, S. R. A.; ESCOBAR, I. E. C.; BRASIL, M. da S.; ARAUJO, G. G. L. de; VOLTOLINI, T. V.; FERNANDES JUNIOR, P. I. |
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Afiliação: |
Gabiane dos Reis Antunes, UNIVASF; Sheilla Rios Assis Santana, UNIVASF; Indra Elena Costa Escobar, UNIVASF; Marivaine da Silva Brasil, Universidade Federal do Mato Grosso do Sul, Corumbá, MS; GHERMAN GARCIA LEAL DE ARAUJO, CPATSA; TADEU VINHAS VOLTOLINI, CPATSA; PAULO IVAN FERNANDES JUNIOR, CPATSA. |
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Título: |
Associative diazotrophic bacteria from forage grasses in theBrazilian semi-arid region are effective plant growth promoters. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Crop & Pasture Science, v. 70, p. 899-907, 2019. |
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DOI: |
10.1071/CP19076 |
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Idioma: |
Inglês |
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Conteúdo: |
The study of plant growth-promoting bacteria (PGPB) can identify outstanding bacteria for crops. For forage grasses adapted to drylands, the selection of PGPB can increase the field performance of pastures. The aim of this study was to isolate, and characterise at molecular, biochemical and symbiotic levels, diazotrophic bacteria obtained from buffel grass (Cenchrus ciliaris), sorghum (Sorghum bicolor) and Tifton 85 (Cynodon spp.) from Brazilian semi-arid region fields. Fieldgrown plants were collected, and the roots were surface-disinfected, crushed and inoculated in a semi-solid medium. After the formation and confirmation of microaerophilic pellicles, the bacteria were isolated and purified. All bacterial isolates were subjected to nifH gene amplification and identified by their partial 16S rRNA gene sequences. The bacteria were evaluated for the production of auxins and siderophores, calcium phosphate solubilisation, and diazotrophic ability as ?in vitro? plant growth-promotion traits. A plant inoculation assay was conducted to assess the plant growth promotion abilities of the bacterial isolates. Twenty-one bacterial isolates harboured the nifH gene (nifH+), among which nine were obtained from sorghum, eight from buffel grass, and four from Tifton 85. The bacterial isolates were classified as Bacillus (8), Stenotrophomonas (7), Agrobacterium (4), Cellulomonas (1) and Paenibacillus (1). All were shown to be auxin producers, with 14 isolates showing diazotrophic capacity ?in vitro?. Fourteen isolates increased plant N content, but the bacterial strains ESA 392 and ESA 398 (Bacillus), ESA 397 and ESA 407 (Stenotrophomonas), and ESA 401 (Agrobacterium) were shown to promote both plant growth and N nutrition. These strains are candidates for further assays to evaluate their agronomic performance under field conditions, aiming inoculant production for forage grasses in drylands. MenosThe study of plant growth-promoting bacteria (PGPB) can identify outstanding bacteria for crops. For forage grasses adapted to drylands, the selection of PGPB can increase the field performance of pastures. The aim of this study was to isolate, and characterise at molecular, biochemical and symbiotic levels, diazotrophic bacteria obtained from buffel grass (Cenchrus ciliaris), sorghum (Sorghum bicolor) and Tifton 85 (Cynodon spp.) from Brazilian semi-arid region fields. Fieldgrown plants were collected, and the roots were surface-disinfected, crushed and inoculated in a semi-solid medium. After the formation and confirmation of microaerophilic pellicles, the bacteria were isolated and purified. All bacterial isolates were subjected to nifH gene amplification and identified by their partial 16S rRNA gene sequences. The bacteria were evaluated for the production of auxins and siderophores, calcium phosphate solubilisation, and diazotrophic ability as ?in vitro? plant growth-promotion traits. A plant inoculation assay was conducted to assess the plant growth promotion abilities of the bacterial isolates. Twenty-one bacterial isolates harboured the nifH gene (nifH+), among which nine were obtained from sorghum, eight from buffel grass, and four from Tifton 85. The bacterial isolates were classified as Bacillus (8), Stenotrophomonas (7), Agrobacterium (4), Cellulomonas (1) and Paenibacillus (1). All were shown to be auxin producers, with 14 isolates showing diazotrophic capacity ... Mostrar Tudo |
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Palavras-Chave: |
Bactérias diazotróficas; Crescimento vegetal; Fixação biológica de nitrogênio; PGPB; Seleção de linhagem; Semiárido. |
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Thesagro: |
Bactéria; Caatinga; Capim Buffel; Forragem; Gramínea Forrageira; Sorgo. |
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Thesaurus Nal: |
Forage grasses. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204359/1/Associative-diazotrophic-bacteria-from-forage-2019.pdf
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Marc: |
LEADER 02992naa a2200361 a 4500
001 2113997
005 2019-11-07
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1071/CP19076$2DOI
100 1 $aANTUNES, G. dos R.
245 $aAssociative diazotrophic bacteria from forage grasses in theBrazilian semi-arid region are effective plant growth promoters.$h[electronic resource]
260 $c2019
520 $aThe study of plant growth-promoting bacteria (PGPB) can identify outstanding bacteria for crops. For forage grasses adapted to drylands, the selection of PGPB can increase the field performance of pastures. The aim of this study was to isolate, and characterise at molecular, biochemical and symbiotic levels, diazotrophic bacteria obtained from buffel grass (Cenchrus ciliaris), sorghum (Sorghum bicolor) and Tifton 85 (Cynodon spp.) from Brazilian semi-arid region fields. Fieldgrown plants were collected, and the roots were surface-disinfected, crushed and inoculated in a semi-solid medium. After the formation and confirmation of microaerophilic pellicles, the bacteria were isolated and purified. All bacterial isolates were subjected to nifH gene amplification and identified by their partial 16S rRNA gene sequences. The bacteria were evaluated for the production of auxins and siderophores, calcium phosphate solubilisation, and diazotrophic ability as ?in vitro? plant growth-promotion traits. A plant inoculation assay was conducted to assess the plant growth promotion abilities of the bacterial isolates. Twenty-one bacterial isolates harboured the nifH gene (nifH+), among which nine were obtained from sorghum, eight from buffel grass, and four from Tifton 85. The bacterial isolates were classified as Bacillus (8), Stenotrophomonas (7), Agrobacterium (4), Cellulomonas (1) and Paenibacillus (1). All were shown to be auxin producers, with 14 isolates showing diazotrophic capacity ?in vitro?. Fourteen isolates increased plant N content, but the bacterial strains ESA 392 and ESA 398 (Bacillus), ESA 397 and ESA 407 (Stenotrophomonas), and ESA 401 (Agrobacterium) were shown to promote both plant growth and N nutrition. These strains are candidates for further assays to evaluate their agronomic performance under field conditions, aiming inoculant production for forage grasses in drylands.
650 $aForage grasses
650 $aBactéria
650 $aCaatinga
650 $aCapim Buffel
650 $aForragem
650 $aGramínea Forrageira
650 $aSorgo
653 $aBactérias diazotróficas
653 $aCrescimento vegetal
653 $aFixação biológica de nitrogênio
653 $aPGPB
653 $aSeleção de linhagem
653 $aSemiárido
700 1 $aSANTANA, S. R. A.
700 1 $aESCOBAR, I. E. C.
700 1 $aBRASIL, M. da S.
700 1 $aARAUJO, G. G. L. de
700 1 $aVOLTOLINI, T. V.
700 1 $aFERNANDES JUNIOR, P. I.
773 $tCrop & Pasture Science$gv. 70, p. 899-907, 2019.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
20/11/2017 |
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Data da última atualização: |
20/11/2017 |
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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: |
MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. |
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Afiliação: |
Bárbara S. F. Müller, UnB; Leandro G. Neves, RAPiD Genomics LLC; Janeo E. de Almeida Filho, University of Florida; Márcio F. R. Resende Junior, RAPiD Genomics LLC; Patricio R. Muñoz, University of Florida; PAULO EDUARDO TELLES DOS SANTOS, CNPF; ESTEFANO PALUDZYSZYN FILHO, CNPF; Matias Kirst, University of Florida; DARIO GRATTAPAGLIA, Cenargen. |
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Título: |
Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
BMC Genomics, v. 18, article 524, 2017. 17 p. |
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DOI: |
10.1186/s12864-017-3920-2 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Background: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions: This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees. MenosBackground: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range h... Mostrar Tudo |
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Palavras-Chave: |
Espécie exótica; Genomic selection; GWAS; Seleção genômica; SNP genotyping. |
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Thesagro: |
Eucalipto; Melhoramento genético vegetal. |
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Thesaurus NAL: |
Eucalyptus benthamii; Eucalyptus pellita; genetic relationships; marker-assisted selection; plant breeding. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/166929/1/2017-PauloE-BMCG-Genomic-prediction.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/181027/1/s12864-017-3920-2.pdf
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Marc: |
LEADER 03672naa a2200373 a 4500
001 2080081
005 2017-11-20
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-017-3920-2$2DOI
100 1 $aMÜLLER, B. S. F.
245 $aGenomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus.$h[electronic resource]
260 $c2017
520 $aBackground: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions: This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees.
650 $aEucalyptus benthamii
650 $aEucalyptus pellita
650 $agenetic relationships
650 $amarker-assisted selection
650 $aplant breeding
650 $aEucalipto
650 $aMelhoramento genético vegetal
653 $aEspécie exótica
653 $aGenomic selection
653 $aGWAS
653 $aSeleção genômica
653 $aSNP genotyping
700 1 $aNEVES, L. G.
700 1 $aALMEIDA FILHO, J. E. de
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aMUÑOZ, P. R.
700 1 $aSANTOS, P. E. T. dos
700 1 $aPALUDZYSZYN FILHO, E.
700 1 $aKIRST, M.
700 1 $aGRATTAPAGLIA, D.
773 $tBMC Genomics$gv. 18, article 524, 2017. 17 p.
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Embrapa Florestas (CNPF) |
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