Complex chloroplast RNA metabolism: just debugging the genetic programme?

<p>Abstract</p> <p>Background</p> <p>The gene expression system of chloroplasts is far more complex than that of their cyanobacterial progenitor. This gain in complexity affects in particular RNA metabolism, specifically the transcription and maturation of RNA. Mature chloroplast RNA is generated by a plethora of nuclear-encoded proteins acquired or recruited during plant evolution, comprising additional RNA polymerases and sigma factors, and sequence-specific RNA maturation factors promoting RNA splicing, editing, end formation and translatability. Despite years of intensive research, we still lack a comprehensive explanation for this complexity.</p> <p>Results</p> <p>We inspected the available literature and genome databases for information on components of RNA metabolism in land plant chloroplasts. In particular, new inventions of chloroplast-specific mechanisms and the expansion of some gene/protein families detected in land plants lead us to suggest that the primary function of the additional nuclear-encoded components found in chloroplasts is the transgenomic suppression of point mutations, fixation of which occurred due to an enhanced genetic drift exhibited by chloroplast genomes. We further speculate that a fast evolution of transgenomic suppressors occurred after the water-to-land transition of plants.</p> <p>Conclusion</p> <p>Our inspections indicate that several chloroplast-specific mechanisms evolved in land plants to remedy point mutations that occurred after the water-to-land transition. Thus, the complexity of chloroplast gene expression evolved to guarantee the functionality of chloroplast genetic information and may not, with some exceptions, be involved in regulatory functions.</p

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field

RNA–protein recognition: Single-residue ultrafast dynamical control of structural specificity and function

The transcription antiterminator N protein from bacteriophage λ uses its arginine-rich motif to specifically bind a stem-loop RNA hairpin (boxB) as a bent α-helix. A single stacking interaction between a tryptophan (Trp-18) and an adenosine (A7) in the RNA loop is robust and necessary for antitermination activity in vivo. Previously, femtosecond fluorescence up-conversion experiments from this laboratory indicated that the N/boxB complex exists in a dynamical two-state equilibrium between stacked and unstacked conformations and that the extent of stacking depends on the identity of peptide residues 14 and 15. In the present work, we have combined transient absorption and fluorescence up-conversion to determine the nature of interactions responsible for this sequence-dependent behavior. Analysis of mutant complexes supports the idea that the β-carbon of residue 14 enforces the stacked geometry by hydrophobic interaction with the ribose of A7, whereas a positive charge at this residue plays only a secondary role. A positive charge at position 15 substantially disfavors the stacked state but retains much of the binding energy. Remarkably, in vivo antitermination experiments show strong correlation with our femtosecond dynamics, demonstrating how conformational interplay can control the activity of a macromolecular machine

Autophagy-related approaches for improving nutrient use efficiency and crop yield protection

Autophagy is a eukaryotic catabolic pathway essential for growth and development. In plants, it is activated in response to environmental cues or developmental stimuli. However, in contrast to other eukaryotic systems, we know relatively little regarding the molecular players involved in autophagy and the regulation of this complex pathway. In the framework of the COST (European Cooperation in Science and Technology) action TRANSAUTOPHAGY (2016-2020), we decided to review our current knowledge of autophagy responses in higher plants, with emphasis on knowledge gaps. We also assess here the potential of translating the acquired knowledge to improve crop plant growth and development in a context of growing social and environmental challenges for agriculture in the near future.Research of the Avin-Wittenberg Group is supported by the Israeli Science Foundation, grant number 1899/16.The Testillano group is supported by project AGL2014-52028-R and AGL2017-82447-R funded by the Spanish Ministry of Economy and Competitiveness (MINECO) and the European Regional Development Fund (ERDF/FEDER). Autophagy research at the Galili lab is supported by The Israel Science Foundation (grant 612/16). Research in the Batoko laboratory was funded by the Wallonia-Brussels Federation Joint Research Action (ARC grant #11/16-036), the Belgian Funds for Scientific Research (FRS-FNRS)(CDR grant #19516174 and FRFC grant #6794930).Peer reviewe

Corrigendum: Autophagy-related approaches for improving nutrient use efficiency and crop yield protection.

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