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Background Microalgae are emerging as promising sustainable sources for biofuels, biostimulants in agriculture, soil bioremediation, feed and human nutrients. Nonetheless, the molecular mechanisms underpinning microalgae physiology and the biosynthesis of compounds of biotechnological interest are largely uncharacterized. This hinders the development of microalgae full potential as cell-factories. The recent application of omics technologies into microalgae research aims at unraveling these systems. Nevertheless, the lack of specific tools for analysing omics raw data generated from microalgae to provide biological meaningful information are hampering the impact of these technologies. The purpose of ALGAEFUN with MARACAS consists in providing researchers in microalgae with an enabling tool that will allow them to exploit transcriptomic and cistromic high-throughput sequencing data. Results ALGAEFUN with MARACAS consists of two different tools. First, MARACAS (MicroAlgae RnA-seq and Chip-seq AnalysiS) implements a fully automatic computational pipeline receiving as input RNA-seq (RNA sequencing) or ChIP-seq (chromatin immunoprecipitation sequencing) raw data from microalgae studies. MARACAS generates sets of differentially expressed genes or lists of genomic loci for RNA-seq and ChIP-seq analysis respectively. Second, ALGAEFUN (microALGAE FUNctional enrichment tool) is a web-based application where gene sets generated from RNA-seq analysis as well as lists of genomic loci from ChIP-seq analysis can be used as input. On the one hand, it can be used to perform Gene Ontology and biological pathways enrichment analysis over gene sets. On the other hand, using the results of ChIP-seq data analysis, it identifies a set of potential target genes and analyses the distribution of the loci over gene features. Graphical representation of the results as well as tables with gene annotations are generated and can be downloaded for further analysis. Conclusions ALGAEFUN with MARACAS provides an integrated environment for the microalgae research community that facilitates the process of obtaining relevant biological information from raw RNA-seq and ChIP-seq data. These applications are designed to assist researchers in the interpretation of gene lists and genomic loci based on functional enrichment analysis. ALGAEFUN with MARACAS is publicly available on https://greennetwork.us.es/AlgaeFUN/.

As compared to eukaryotes, bacteria have a reduced tRNA gene set encoding between 30 and 220 tRNAs. Although in most bacterial phyla tRNA genes are dispersed in the genome, many species from distinct phyla also show genes forming arrays. Here, we show that two types of arrays with distinct evolutionary origins exist. This work focuses on long tRNA gene arrays (L-arrays) that encompass up to 43 genes, which disseminate by horizontal gene transfer and contribute supernumerary tRNA genes to the host. Although in the few cases previously studied these arrays were reported to be poorly transcribed, here we show that the L-array of the model cyanobacterium Anabaena sp. PCC 7120, encoding 23 functional tRNAs, is largely induced upon impairment of the translation machinery. The cellular response to this challenge involves a global reprogramming of the transcriptome in two phases. tRNAs encoded in the array are induced in the second phase of the response, directly contributing to cell survival. Results presented here show that in some bacteria the tRNA gene set may be partitioned between a housekeeping subset, which constantly sustains translation, and an inducible subset that is generally silent but can provide functionality under particular conditions., Graphical Abstract Graphical AbstractWorkflow diagram describing the characterization of the role of the Anabaena tRNA-encoding operon.

Astaxanthin is a valuable and highly demanded ketocarotenoid pigment, for which the chlorophycean microalga Haematococcus pluvialis is an outstanding natural source. Although information on astaxanthin accumulation in H. pluvialis has substantially advanced in recent years, its underlying molecular bases remain elusive. An integrative metabolic and transcriptomic analysis has been performed for vegetative Haematococcus cells, grown both under N sufficiency (green palmelloid cells) and under moderate N limitation, allowing concurrent active cell growth and astaxanthin synthesis (reddish palmelloid cells). Transcriptional activation was noticeable in reddish cells of key enzymes participating in glycolysis, pentose phosphate cycle and pyruvate metabolism, determining the adequate provision of glyceraldehyde 3 phosphate and pyruvate, precursors of carotenoids and fatty acids. Moreover, for the first time, transcriptional regulators potentially involved in controlling astaxanthin accumulation have been identified, a knowledge enabling optimization of commercial astaxanthin production by Haematococcus through systems metabolic engineering.

Cellular condensates are usually ribonucleoprotein membrane-less assemblies that can shuttle between liquid or less fluid states. These phase transitions could impact a broad range of biological outcomes. Here, by developing proximity-biotinylation approaches, we unveil the composition of the condensate known as processing bodies (PBs) in the model plant Arabidopsis. We show that PBs comprise both conserved and dynamic networks with unexpected connections to membrane subdomains. We study further one of these networks and discover a cell vertex-defining module with membrane remodeling properties. This module functions through a liquid/solid-like phase transition that impacts growth. The underlying mechanism is developmentally regulated by a tug-of-war between PBs and the plasma membrane instructed by a phospho-switch. We thus provide a framework for the elucidation of condensates in plants and describe a growth module based on phase transitions of condensates at a membranous interface.