Global gene expression profile and functional analysis reveal the conservation of reproduction-associated gene networks in Gossypium hirsutum.

KEY MESSAGE: Lastly, the bZIP gene family encompasses genes that have been reported to play a role in flower development, such as bZIP14 (FD). Notably, bZIP14 is essential for Flowering Locus T (FT) initiation of floral development in Arabidopsis (Abe et al. 2005). Cotton (Gossypium hirsutum L.) is the world's most extensively cultivated fiber crop. However, its reproductive development is poorly characterized at the molecular level. Thus, this study presents a detailed transcriptomic analysis of G. hirsutum at three different reproductive stages. We provide evidence that more than 64,000 genes are active in G. hirsutum during flower development, among which 94.33% have been assigned to functional terms and specific pathways. Gene set enrichment analysis (GSEA) revealed that the biological process categories of floral organ development, pollen exine formation, and stamen development were enriched among the genes expressed during the floral development of G. hirsutum. Furthermore, we identified putative Arabidopsis homologs involved in the G. hirsutum gene regulatory network (GRN) of pollen and flower development, including transcription factors such as WUSCHEL (WUS), INNER NO OUTER (INO), AGAMOUS-LIKE 66 (AGL66), SPOROCYTELESS/NOZZLE (SPL/NZZ), DYSFUNCTIONAL TAPETUM 1 (DYT1), ABORTED MICROSPORES (AMS), and ASH1-RELATED 3 (ASHR3), which are known crucial genes for plant reproductive success. The cotton MADS-box protein-protein interaction pattern resembles the previously described patterns for AGAMOUS (AG), SEEDSTICK (STK), SHATTERPROOF (SHP), and SEPALLATA3 (SEP3) homolog proteins from Arabidopsis. In addition to serving as a resource for comparative flower development studies, this work highlights the changes in gene expression profiles and molecular networks underlying stages that are valuable for cotton breeding improvement.

Elevated CO2 increases biomass of Sorghum bicolor green prop roots under drought conditions via soluble sugar accumulation and photosynthetic activity.

Elevated [CO2 ] (E[CO2 ]) mitigates agricultural losses of C4 plants under drought. Although several studies have described the molecular responses of the C4 plant species Sorghum bicolor during drought exposure, few have reported the combined effects of drought and E[CO2 ] (E[CO2 ]/D) on the roots. A previous study showed that, among plant organs, green prop roots (GPRs) under E[CO2 ]/D presented the second highest increase in biomass after leaves compared with ambient [CO2 ]/D. GPRs are photosynthetically active and sensitive to drought. To understand which mechanisms are involved in the increase in biomass of GPRs, we performed transcriptome analyses of GPRs under E[CO2 ]/D. Whole-transcriptome analysis revealed several pathways altered under E[CO2 ]/D, among which photosynthesis was strongly affected. We also used previous metabolome data to support our transcriptome data. Activities associated with photosynthesis and central metabolism increased, as seen by the upregulation of photosynthesis-related genes, a rise in glucose and polyol contents, and increased contents of chlorophyll a and carotenoids. Protein-protein interaction networks revealed that proliferation, biogenesis, and homeostasis categories were enriched and contained mainly upregulated genes. The findings suggest that the previously reported increase in GPR biomass of plants grown under E[CO2 ]/D is mainly attributed to glucose and polyol accumulation, as well as photosynthesis activity and carbon provided by respiratory CO2 refixation. Our findings reveal that an intriguing and complex metabolic process occurs in GPRs under E[CO2 ]/D, showing the crucial role of these organs in plant drought /tolerance.

Leveraging User-Friendly Network Approaches to Extract Knowledge From High-Throughput Omics Datasets.

Recent technological advances for the acquisition of multi-omics data have allowed an unprecedented understanding of the complex intricacies of biological systems. In parallel, a myriad of computational analysis techniques and bioinformatics tools have been developed, with many efforts directed towards the creation and interpretation of networks from this data. In this review, we begin by examining key network concepts and terminology. Then, computational tools that allow for their construction and analysis from high-throughput omics datasets are presented. We focus on the study of functional relationships such as co-expression, protein-protein interactions, and regulatory interactions that are particularly amenable to modeling using the framework of networks. We envisage that many potential users of these analytical strategies may not be completely literate in programming languages and code adaptation, and for this reason, emphasis is given to tools' user-friendliness, including plugins for the widely adopted Cytoscape software, an open-source, cross-platform tool for network analysis, visualization, and data integration.

Comparative transcriptomics of rice plants under cold, iron, and salt stresses.

Abiotic stresses such as salinity, iron toxicity, and low temperatures are the main limiting factors of rice (Oryza sativa L.) yield. The elucidation of the genes involved in responses to these stresses is extremely important to understand the mechanisms that confer tolerance, as well as for the development of cultivars adapted to these conditions. In this study, the RNA-seq technique was used to compare the transcriptional profile of rice leaves (cv. BRS Querência) in stage V3, exposed to cold, iron, and salt stresses for 24 h. A range of 41 to 51 million reads was aligned, in which a total range of 88.47 to 89.21 % was mapped in the reference genome. For cold stress, 7905 differentially expressed genes (DEGs) were observed, 2092 for salt and 681 for iron stress; 370 of these were common to the three DEG stresses. Functional annotation by software MapMan demonstrated that cold stress usually promoted the greatest changes in the overall metabolism, and an enrichment analysis of overrepresented gene ontology (GO) terms showed that most of them are contained in plastids, ribosome, and chloroplasts. Saline stress induced a more complex interaction network of upregulated overrepresented GO terms with a relatively low number of genes compared with cold stress. Our study demonstrated a high number of differentially expressed genes under cold stress and a greater relationship between salt and iron stress levels. The physiological process most affected at the molecular level by the three stresses seems to be photosynthesis.