Publications by authors named "Bruno V Navarro"

The SnRK1, hexokinase, and TORC1 (TOR, LST8, RAPTOR) are three pivotal kinases at the core of sugar level sensing, significantly impacting plant metabolism and development. We retrieved and analyzed protein sequences of these three kinase pathways from seven sugarcane transcriptome and genome datasets, identifying protein domains, phylogenetic relationships, sequence ancestry, and in silico expression levels. Additionally, we predicted HXK subcellular localization and assessed its enzymatic activity in sugarcane leaves and culms along development in the field.

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Trehalose-6-phosphate (T6P) is an intermediate of trehalose biosynthesis that plays an essential role in plant metabolism and development. Here, we comprehensively analyzed sequences from enzymes of trehalose metabolism in sugarcane, one of the main crops used for bioenergy production. We identified protein domains, phylogeny, and in silico expression levels for all classes of enzymes.

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Many studies in the model species Arabidopsis thaliana characterized genes involved in embryo formation. However, much remains to be learned about the portfolio of genes that are involved in signal transduction and transcriptional regulation during plant embryo development in other species, particularly in an evolutionary context, especially considering that some genes involved in embryo patterning are not exclusive of land plants. This study, used a combination of domain architecture phylostratigraphy and phylogenetic reconstruction to investigate the evolutionary history of embryo patterning and auxin metabolism (EPAM) genes in Viridiplantae.

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The mechanisms that control polyamine (PA) metabolism in plant cell lines with different embryogenic potential are not well understood. This study involved the use of two Araucaria angustifolia cell lines, one of which was defined as being blocked, in that the cells were incapable of developing somatic embryos, and the other as being responsive, as the cells could generate somatic embryos. Cellular PA metabolism was modulated by using 5 mM arginine (Arg) or ornithine (Orn) at two time points during cell growth.

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Three zygotic developmental stages and two somatic Araucaria angustifolia cell lines with contrasting embryogenic potential were analyzed to identify the carbohydrate-mediated responses associated with embryo formation. Using a comparison between zygotic and somatic embryogenesis systems, the non-structural carbohydrate content, cell wall sugar composition and expression of genes involved in sugar sensing were analyzed, and a network analysis was used to identify coordinated features during embryogenesis. We observed that carbohydrate-mediated responses occur mainly during the early stages of zygotic embryo formation, and that during seed development there are coordinated changes that affect the development of the different structures (embryo and megagametophyte).

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Polyamines (PAs), such as spermidine and spermine, as well as amino acids that are substrates for their biosynthesis, are known to be essential for plant development. However, little is known about the gene expression and metabolic switches associated with the ornithine/arginine and PA biosynthetic pathway during seed development in conifers. To understand these metabolic switches, the enzyme activity of arginine decarboxylase and ornithine decarboxylase, as well as the contents of PAs and amino acids were evaluated in three Araucaria angustifolia (Bertol.

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GeLC–MS/MS based label free proteomic profiling was used in the large scale identification and quantification of proteins from Brazilian pine (Araucaria angustifolia) embryogenic cell (EC) lines that showed different propensities to form somatic embryos. Using a predicted protein sequence database that was derived from A. angustifolia RNA-Seq data, 2398 non-redundant proteins were identified.

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Quantitative analysis of gene expression is a fundamental experimental approach in many fields of plant biology, but it requires the use of internal controls representing constitutively expressed genes for reliable transcript quantification. In this study, we identified fifteen putative reference genes from an A. angustifolia transcriptome database.

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