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Best practices for methylome characterization in novel species: a case study in the microalgae Microchloropsis

ABSTRACT: Best practices for methylome characterization in novel species: a case study in the microalgae Microchloropsis

PROVIDER: PRJNA1103682 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR28779700_1.fastq.gz	Fastqsanger.gz
	SRR28779700_2.fastq.gz	Fastqsanger.gz
	SRR28779676_1.fastq.gz	Fastqsanger.gz
	SRR28779677_1.fastq.gz	Fastqsanger.gz
	SRR28779678_1.fastq.gz	Fastqsanger.gz

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Best practices for methylome characterization in novel species: a case study in the microalgae Microchloropsis

Project description:Microalgae remain an important feedstock for the production of biofuels and bioproducts. Discovery of new species drives innovation for biotransformation, where bioengineering and other technological advances can significantly optimize performance. Production is predicated on deep knowledge of algal behavior predicted from genomic and phenotypic studies. However, prediction and manipulation of behavior, particularly for scale up, remains a challenge. Understanding the contribution of epigenetic processes to algal function provides another piece of this complex puzzle for achieving bioeconomy goals. Utilizing Nannochloropsis species as a model, we provide a methodological framework for investigating epigenetic processes, specifically DNA methylation, in new species and demonstrate best practices for discerning novel epigenetic modifications. We demonstrate specific forms of DNA methylation can be overlooked by traditional epigenetic analysis strategies. Using high-throughput, lower cost techniques, we provide evidence demonstrating Nannochloropsis gaditana and N. salina lack the most ubiquitous forms of eukaryotic DNA methylation (5mC and 5hmC) and instead employ N6-adenine methylation (6mA), commonly found in bacteria, in their genomes.

2024-12-15 | GSE264626 | GEO

Best practices for eCLIP experiments and analysis

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Best practices for the visualization, mapping, and manipulation of R-loops

Project description:R-loops represent an abundant class of large non-B DNA structures in genomes. Even though they form transiently and at modest frequencies, interfering with R-loop formation or dissolution significantly impacts genome stability. Addressing the mechanism(s) of R-loop-mediated genome destabilization requires a precise characterization of their distribution in genomes. A number of independent methods have been developed to visualize and map R-loops, but their results are at times discordant, leading to confusion. Here we review the main existing methodologies underlying R-loop mapping and assess their limitations and the robustness of existing datasets. We offer a set of best practices to improve the reproducibility of maps, hoping that such guidelines could be useful for authors and referees alike. Finally, we offer a possible resolution to the apparent contradictions in R-loop mapping outcomes between antibody-based and RNase H1-based mapping approaches.

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Best practices for the visualization, mapping, and manipulation of R-loops

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Spatial Touchstone: A Comprehensive Assessment of Imaging-Based Spatial Transcriptomics, Reproducibility and Best Practices

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Data for: A practical guide for analysis of histone post-translational modifications by mass spectrometry: best practices and pitfalls

Project description:Histone proteomics from 5 human cell lines, discussed in publication: "A practical guide for analysis of histone post-translational modifications by mass spectrometry: best practices and pitfalls". Further explanation of data types, methods, and analysis are available in Data Explanation document in the Methods and Protocols folder.

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Project description:Bread wheat (Triticum aestivum) is a staple food crucial for global caloric intake and food security. The current climate emergency demands the development of sustainable agricultural practices, particularly in the context of drought-induced yield reductions in bread wheat. Microalgae-based biostimulants have emerged as promising tools to enhance crop tolerance to drought stress while concurrently mitigating atmospheric CO2 accumulation. This study characterizes the transcriptomic responses to the foliar application of the microalgae-based biostimulant LRMTM in drought-stressed and fully irrigated wheat plants unveiling its mode of action. Drought stress at the tillering stage significantly altered gene expression activating key pathways related to phosphate starvation response (PSR), inositol phosphate signaling, and tocopherol biosynthesis. The application of the microalgae-based biostimulant LRMTM in drought-stressed plants further enhanced the expression of drought-responsive genes, particularly those involved in PSR and carbon fixation. Specific responses to LRMTM treatment in drought-stressed plants were also found related to abscisic acid (ABA) signaling activating genes involved in stomata closure, which plays a critical role in drought tolerance. In fully irrigated plants, LRMTM treatment was also beneficial modulating circadian rhythms, shade avoidance and attenuating stress responses. Phenotypic analysis showed that LRMTM-treated plants exhibited enhanced drought tolerance, increased height and spike length even under fully irrigated conditions. These results indicate that the microalgae-based biostimulant LRMTM not only enhances wheat response to drought but also promotes growth and productivity in both stressed and non-stressed conditions which could contribute to the development of sustainable agriculture in the face of the current climate challenges.

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