An Evaluation of the Basis and Consequences of a Stay-Green Mutation in the navel negra Citrus Mutant Using Transcriptomic and Proteomic Profiling and Metabolite Analysis1[W]

A Citrus sinensis spontaneous mutant, navel negra (nan), produces fruit with an abnormal brown-colored flavedo during ripening. Analysis of pigment composition in the wild-type and nan flavedo suggested that typical ripening-related chlorophyll (Chl) degradation, but not carotenoid biosynthesis, was impaired in the mutant, identifying nan as a type C stay-green mutant. nan exhibited normal expression of Chl biosynthetic and catabolic genes and chlorophyllase activity but no accumulation of dephytylated Chl compounds during ripening, suggesting that the mutation is not related to a lesion in any of the principal enzymatic steps in Chl catabolism. Transcript profiling using a citrus microarray indicated that a citrus ortholog of a number of SGR (for STAY-GREEN) genes was expressed at substantially lower levels in nan, both prior to and during ripening. However, the pattern of catabolite accumulation and SGR sequence analysis suggested that the nan mutation is distinct from those in previously described stay-green mutants and is associated with an upstream regulatory step, rather than directly influencing a specific component of Chl catabolism. Transcriptomic and comparative proteomic profiling further indicated that the nan mutation resulted in the suppressed expression of numerous photosynthesis-related genes and in the induction of genes that are associated with oxidative stress. These data, along with metabolite analyses, suggest that nan fruit employ a number of molecular mechanisms to compensate for the elevated Chl levels and associated photooxidative stress

Evaluation of the potential of lines and hybrids of biomass sorghum

Mutant genotypes of biomass sorghum for low lignin - bmr (brown midrib) and sensitive to photoperiod are interesting for the production of second-generation ethanol. This research aimed to estimate the combining ability between lines A and R of biomass sorghum, both carrying the bmr-6 allele, for bioenergy potential. Three male-sterile lines (A) and ten fertility restorative lines (R) were used, generating 30 hybrids bmr and sensitive to photoperiod. The 30 hybrids, their parents, and six controls were evaluated in a triple lattice design (7 × 7), in two experimental areas of Embrapa Maize and Sorghum, in Sete Lagoas and Nova Porteirinha (Minas Gerais). These lines were crossed in a partial diallel design, based on the Griffing IV model (1956) adapted for partial diallel by Miranda Filho and Geraldi (1984). The evaluated traits were: days to flowering (DTF, days after sowing), plant height (PH, m), fresh biomass yield (FBY, ton.ha−1), dry matter (DM, %), and dry matter yield (DMY, t. ha−1). In addition, the FAI-BLUP selection Index was used to assist the selection of hybrids that simultaneously meet favorable traits. Results revealed that treatments x environment interaction had a significant effect (p < 0.01) for all traits. Moreover, genetic variability was detected between lines A and R, which can be explored by the pyramiding of their favorable alleles, aiming at developing superior hybrids for the production of second-generation bioethanol

Boxplot analysis showing the distribution of agro-industrial traits according to each cluster identified through molecular and phenotypic diversity analysis.

<p>The upper, median, and lower quartiles of gray boxes represent the 75^th, 50^th, and 25^th percentiles of the clusters, respectively. The vertical lines represent the variation of the clusters. Dots represent outliers. CEL: cellulose; EXT: juice extraction; FBY: fresh biomass yield; FLOW: days to flowering; HEM: hemicellulose; LIG: lignin; PH: plant height; POL: sucrose concentration in juice; RSJ: reducing sugars in the juice and TSS: total soluble solids.</p

Principal component analysis using SNP data.

<p>Plotting the first two principal components (PC1 and PC2) using SNP data. The colors of the genotypes correspond to the six subpopulations of sweet sorghum according to the genealogy and the historic background. LIS: Landrace World Collection—ICRISAT sorghum collection; LMN: Landrace Meridian Mississippi—USDA sorghum collection; LSSM: Landrace Sorghum Seed Montpelier—CIRAD sorghum collection; ML: Modern Line; ML—EMBRAPA: Modern Line EMBRAPA; and HL: Historical Line.</p

Neighbor-Joining tree using SNP data.

<p>Genetic distances between the sweet sorghum accessions were calculated using the identity-by-state (IBS) coefficient. The colors of the branches correspond to the six subpopulations defined according to the genealogy and the historic background of the sweet sorghum lines. I-M, II-M, III-M, IV-M, V-M and VI-M correspond to the clusters identified through the Neighbor-Joining method. LIS: Landrace World Collection—ICRISAT sorghum collection; LMN: Landrace Meridian Mississippi—USDA sorghum collection; LSSM: Landrace Sorghum Seed Montpelier—CIRAD sorghum collection; ML: Modern Line; ML—EMBRAPA: Modern Line EMBRAPA; and HL: Historical Line. The scale-bar (0–0.1) represents the coefficient of dissimilarity.</p

Fixed and random effects, heritability, average, minimum and maximum phenotypic values for the agro-industrial traits.

<p>Fixed and random effects, heritability, average, minimum and maximum phenotypic values for the agro-industrial traits.</p

Núcleos de Ensino da Unesp: artigos 2014: volume 4: os processos de interação na escola e educação inclusiva

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq