The objective of this study was to estimate the genetic divergence of 140 sugarcane clones of the... more The objective of this study was to estimate the genetic divergence of 140 sugarcane clones of the series RB97,in phase T3 of the Sugarcane Genetic Improvement Program of the Universidade Federal do Paraná, at three locations bymultivariate analysis, using the linear mixed model and grouping analysis by the Tocher procedure, based on Mahalanobis´generalized distance. The evaluated traits were number of stalks per plot, mass of ten stalks, Brix and Brix per plot in kg. Thenumber of groups varied according to the evaluated environment. Based on the results, combinations of one of the mostdivergent clones RB975008, RB975112, RB975019 RB975153 and RB975067 with any one of the most productive clonesRB975269, RB977533, RB975102, RB975317 and RB975038 are recommended.
The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (PGPR) is ... more The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (PGPR) is associated with both the efficiency of the bacterial strain and the capacity of the plant to respond to inoculation. For this reason, the appropriate selection of both the bacterial strain and the sugarcane genotype is required for generating optimal results from PGPR inoculations. To address this issue, this study sought to evaluate the response of 54 sugarcane families to inoculation with Azospirillum brasilense strains. In particular, four months after germination, 54 families from crosses between clones of sugarcane were treated either with an inoculant named Triazo, which was composed of a mixture of the Abv5, Abv6 and Abv7 strains of A. brasilense, or with the IC26 strain of A. brasilense. The treated plants were then planted in fields. These plants were assessed 14 months after they had been planted on the basis of various productivity parameters. Significant differences among the...
During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) ... more During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) with resistance/susceptibility to javanese root-knot nematode Meloidogyne javanica was identified in soybean. After being sequenced, results indicated that the SSR 176 Soy HSP marker was inserted in the promoter region of Gmhsp17.6-L gene. It was also detected in this region that resistant genotypes presented insertions between AT(31) and AT(33) in size and susceptible genotypes, AT(9). Gmhsp17.6-L gene coding region presented a perfect match in amino acid sequence in all soybean genotypes. A ribonuclease protection assay showed that Gmhsp17.6-L gene mRNA transcripts were present in all genotypes. A real-time relative quantification (qPCR) indicated in the resistant individuals higher mRNA transcripts levels, which presented in the sequencing more AT(n) insertions. These results suggest that the number of AT(n) insertions inside this promoter region could modulate up or down gene levels....
Myb genes constitute one of the largest transcription factor families in the plant kingdom. Soybe... more Myb genes constitute one of the largest transcription factor families in the plant kingdom. Soybean MYB transcription factors have been related to the plant response to biotic stresses. Their involvement in response to Phakopsora pachyrhizi infection has been reported by several transcriptional studies. Due to their apparently highly diverse functions, these genes are promising targets for developing crop varieties resistant to diseases. In the present study, the identification and phylogenetic analysis of the soybean R2R3-MYB (GmMYB) transcription factor family was performed and the expression profiles of these genes under biotic stress were determined. GmMYBs were identified from the soybean genome using bioinformatic tools, and their putative functions were determined based on the phylogenetic tree and classified into subfamilies using guides AtMYBs describing known functions. The transcriptional profiles of GmMYBs upon infection with different pathogen were revealed by in vivo a...
The Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recen... more The Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat...
ABSTRACT The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (... more ABSTRACT The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (PGPR) is associated with both the efficiency of the bacterial strain and the capacity of the plant to respond to inoculation. For this reason, the appropriate selection of both the bacterial strain and the sugarcane genotype is required for generating optimal results from PGPR inoculations. To address this issue, this study sought to evaluate the response of 54 sugarcane families to inoculation with Azospirillum brasilense strains. In particular, four months after germination, 54 families from crosses between clones of sugarcane were treated either with an inoculant named Triazo, which was composed of a mixture of the Abv5, Abv6 and Abv7 strains of A. brasilense, or with the IC26 strain of A. brasilense. The treated plants were then planted in fields. These plants were assessed 14 months after they had been planted on the basis of various productivity parameters. Significant differences among the inoculants were observed for stalk length, stalk diameter and Brix. Significant interactions between the families and bacteria occurred with respect to stalk diameter and Brix; the interaction coefficients could have either positive (0.7272 for Brix and 0.4061 for stalk diameter) or negative (-0.5514 for Brix and -0.1858 for stalk diameter) values, depending on the family and the inoculant that were considered. Therefore, the inoculation of the seedling in the first phase of selection is recommended for a sugarcane breeding program that seeks to select genotypes with better responses to PGPR inoculation.
During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) ... more During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) with resistance/susceptibility to javanese root-knot nematode Meloidogyne javanica was identified in soybean. After being sequenced, results indicated that the SSR 176 Soy HSP marker was inserted in the promoter region of Gmhsp17.6-L gene. It was also detected in this region that resistant genotypes presented insertions between AT(31) and AT(33) in size and susceptible genotypes, AT(9). Gmhsp17.6-L gene coding region presented a perfect match in amino acid sequence in all soybean genotypes. A ribonuclease protection assay showed that Gmhsp17.6-L gene mRNA transcripts were present in all genotypes. A real-time relative quantification (qPCR) indicated in the resistant individuals higher mRNA transcripts levels, which presented in the sequencing more AT(n) insertions. These results suggest that the number of AT(n) insertions inside this promoter region could modulate up or down gene levels. Those findings can lead to the possibility of manipulating, between some limits, the mRNA transcripts levels using different sizes of AT(n) insertions.
Resumo Este trabalho teve como objetivo avaliar a divergência genética em clones da cana-de-açúca... more Resumo Este trabalho teve como objetivo avaliar a divergência genética em clones da cana-de-açúcar usando a metodologia de dispersão gráfica por componentes principais associada aos modelos lineares mistos, identificando quais os genótipos mais divergentes e os mais produtivos de forma mais precisa, para posterior combinação. Foram avaliados 138 clones de cana-de-açúcar da Série RB97 do Programa de Melhoramento Genético de Cana-de-Açúcar da Universidade Federal do Paraná, mais duas variedades padrões, em três ambientes, com duas repetições. Os dois primeiros componentes explicaram 96% da variação total, sendo suficientes para explicar a divergência encontrada. A característica que mais contribuiu para a divergência genética foi quilograma de brix por parcela (KBP), seguida por brix, massa de 10 colmos (M10) e número de colmos por parcela (NCP). Os clones mais divergentes foram RB975008, RB975112, RB975019, RB975153 e RB975067 e os clones mais produtivos foram RB975269, RB977533, RB9...
The objective of this study was to estimate the genetic divergence of 140 sugarcane clones of the... more The objective of this study was to estimate the genetic divergence of 140 sugarcane clones of the series RB97,in phase T3 of the Sugarcane Genetic Improvement Program of the Universidade Federal do Paraná, at three locations bymultivariate analysis, using the linear mixed model and grouping analysis by the Tocher procedure, based on Mahalanobis´generalized distance. The evaluated traits were number of stalks per plot, mass of ten stalks, Brix and Brix per plot in kg. Thenumber of groups varied according to the evaluated environment. Based on the results, combinations of one of the mostdivergent clones RB975008, RB975112, RB975019 RB975153 and RB975067 with any one of the most productive clonesRB975269, RB977533, RB975102, RB975317 and RB975038 are recommended.
The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (PGPR) is ... more The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (PGPR) is associated with both the efficiency of the bacterial strain and the capacity of the plant to respond to inoculation. For this reason, the appropriate selection of both the bacterial strain and the sugarcane genotype is required for generating optimal results from PGPR inoculations. To address this issue, this study sought to evaluate the response of 54 sugarcane families to inoculation with Azospirillum brasilense strains. In particular, four months after germination, 54 families from crosses between clones of sugarcane were treated either with an inoculant named Triazo, which was composed of a mixture of the Abv5, Abv6 and Abv7 strains of A. brasilense, or with the IC26 strain of A. brasilense. The treated plants were then planted in fields. These plants were assessed 14 months after they had been planted on the basis of various productivity parameters. Significant differences among the...
During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) ... more During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) with resistance/susceptibility to javanese root-knot nematode Meloidogyne javanica was identified in soybean. After being sequenced, results indicated that the SSR 176 Soy HSP marker was inserted in the promoter region of Gmhsp17.6-L gene. It was also detected in this region that resistant genotypes presented insertions between AT(31) and AT(33) in size and susceptible genotypes, AT(9). Gmhsp17.6-L gene coding region presented a perfect match in amino acid sequence in all soybean genotypes. A ribonuclease protection assay showed that Gmhsp17.6-L gene mRNA transcripts were present in all genotypes. A real-time relative quantification (qPCR) indicated in the resistant individuals higher mRNA transcripts levels, which presented in the sequencing more AT(n) insertions. These results suggest that the number of AT(n) insertions inside this promoter region could modulate up or down gene levels....
Myb genes constitute one of the largest transcription factor families in the plant kingdom. Soybe... more Myb genes constitute one of the largest transcription factor families in the plant kingdom. Soybean MYB transcription factors have been related to the plant response to biotic stresses. Their involvement in response to Phakopsora pachyrhizi infection has been reported by several transcriptional studies. Due to their apparently highly diverse functions, these genes are promising targets for developing crop varieties resistant to diseases. In the present study, the identification and phylogenetic analysis of the soybean R2R3-MYB (GmMYB) transcription factor family was performed and the expression profiles of these genes under biotic stress were determined. GmMYBs were identified from the soybean genome using bioinformatic tools, and their putative functions were determined based on the phylogenetic tree and classified into subfamilies using guides AtMYBs describing known functions. The transcriptional profiles of GmMYBs upon infection with different pathogen were revealed by in vivo a...
The Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recen... more The Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat...
ABSTRACT The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (... more ABSTRACT The capacity of the sugarcane plant to respond to Plant Growth Promoting Rhizobacteria (PGPR) is associated with both the efficiency of the bacterial strain and the capacity of the plant to respond to inoculation. For this reason, the appropriate selection of both the bacterial strain and the sugarcane genotype is required for generating optimal results from PGPR inoculations. To address this issue, this study sought to evaluate the response of 54 sugarcane families to inoculation with Azospirillum brasilense strains. In particular, four months after germination, 54 families from crosses between clones of sugarcane were treated either with an inoculant named Triazo, which was composed of a mixture of the Abv5, Abv6 and Abv7 strains of A. brasilense, or with the IC26 strain of A. brasilense. The treated plants were then planted in fields. These plants were assessed 14 months after they had been planted on the basis of various productivity parameters. Significant differences among the inoculants were observed for stalk length, stalk diameter and Brix. Significant interactions between the families and bacteria occurred with respect to stalk diameter and Brix; the interaction coefficients could have either positive (0.7272 for Brix and 0.4061 for stalk diameter) or negative (-0.5514 for Brix and -0.1858 for stalk diameter) values, depending on the family and the inoculant that were considered. Therefore, the inoculation of the seedling in the first phase of selection is recommended for a sugarcane breeding program that seeks to select genotypes with better responses to PGPR inoculation.
During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) ... more During earlier experiments, an SSR molecular marker (176 Soy HSP) showing high correlation (70%) with resistance/susceptibility to javanese root-knot nematode Meloidogyne javanica was identified in soybean. After being sequenced, results indicated that the SSR 176 Soy HSP marker was inserted in the promoter region of Gmhsp17.6-L gene. It was also detected in this region that resistant genotypes presented insertions between AT(31) and AT(33) in size and susceptible genotypes, AT(9). Gmhsp17.6-L gene coding region presented a perfect match in amino acid sequence in all soybean genotypes. A ribonuclease protection assay showed that Gmhsp17.6-L gene mRNA transcripts were present in all genotypes. A real-time relative quantification (qPCR) indicated in the resistant individuals higher mRNA transcripts levels, which presented in the sequencing more AT(n) insertions. These results suggest that the number of AT(n) insertions inside this promoter region could modulate up or down gene levels. Those findings can lead to the possibility of manipulating, between some limits, the mRNA transcripts levels using different sizes of AT(n) insertions.
Resumo Este trabalho teve como objetivo avaliar a divergência genética em clones da cana-de-açúca... more Resumo Este trabalho teve como objetivo avaliar a divergência genética em clones da cana-de-açúcar usando a metodologia de dispersão gráfica por componentes principais associada aos modelos lineares mistos, identificando quais os genótipos mais divergentes e os mais produtivos de forma mais precisa, para posterior combinação. Foram avaliados 138 clones de cana-de-açúcar da Série RB97 do Programa de Melhoramento Genético de Cana-de-Açúcar da Universidade Federal do Paraná, mais duas variedades padrões, em três ambientes, com duas repetições. Os dois primeiros componentes explicaram 96% da variação total, sendo suficientes para explicar a divergência encontrada. A característica que mais contribuiu para a divergência genética foi quilograma de brix por parcela (KBP), seguida por brix, massa de 10 colmos (M10) e número de colmos por parcela (NCP). Os clones mais divergentes foram RB975008, RB975112, RB975019, RB975153 e RB975067 e os clones mais produtivos foram RB975269, RB977533, RB9...
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