Soybean is a major source of edible protein and oil. Oil content is a quantitative trait that is significantly determined by genetic and environmental factors. Over the past 30 years, a large volume of soybean genetic, genomic, and transcriptomic data have been accumulated. Nevertheless, integrative analyses of such data remain scarce, in spite of their importance for crop improvement.
The Pseudomonas putida group comprises strains with biotechnological and clinical relevance. P. alloputida was proposed as a new species and highlighted the misclassification of P. putida. Nevertheless, the population structure of P. alloputida remained unexplored. We retrieved 11,025 Pseudomonas genomes and used P. alloputida Kh7T to delineate the species.
In the past decade, over 3000 samples of soybean transcriptomic data have accumulated in public repositories. Here, we review the state of the art in soybean transcriptomics, highlighting the major microarray and RNA-seq studies that investigated soybean transcriptional programs in different tissues and conditions.
We report a soybean gene co-expression network built with data from 1284 RNA-Seq experiments, which was used to identify important regulators, modules and to elucidate the fates of gene duplicates. Soybean (Glycine max [L.] Merr.) is one of the most important crops worldwide, constituting a major source of protein and edible oil. Gene co-expression networks (GCN) have been extensively used to study transcriptional regulation and evolution of genes and genomes.
Soybean (Glycine max [L.] Merr.) is a major crop in animal feed and human nutrition, mainly for its rich protein and oil contents. The remarkable rise in soybean transcriptome studies over the past five years generated an enormous amount of RNA‐seq data, encompassing various tissues, developmental conditions, and genotypes.
Transcription factors (TF) are essential for plant growth and development. Several legumes (e.g. soybean) are rich sources of protein and oil, with great economic relevance. Here we report a phylogenomic analysis of TF families in legumes and their potential association with important traits (e.g. nitrogen fixation).
The article “Genomic analysis unveils important aspects of population structure, virulence, and antimicrobial resistance in Klebsiella aerogenes” written by Passarelli-Araujo, Hemanoel; Palmeiro, Jussara K.; Moharana, Kanhu C.; Pedrosa-Silva, Francisnei; Dalla-Costa, Libera M. and Venancio, Thiago Motta was selected to published in october cover issue of FEBS journal.
Klebsiella aerogenes is an important pathogen in healthcare‐associated infections. Nevertheless, in comparison to other clinically important pathogens, K. aerogenes population structure, genetic diversity, and pathogenicity remain poorly understood.
Transcriptional landscape of soybean (Glycine max) embryonic axes during germination in the presence of paclobutrazol, a gibberellin biosynthesis inhibitor
Two of our researchers Dayanna Kelly T. de Moares and Késia Dias dos Santos presented two posters at II Simposium of Vegetal Biotechnology in Vila Velha, ES on June 6-7, 2019.