Biology subjects

Hazarika, R. R.

Publications and source records attributed to Hazarika, R. R..

5 recordsLinked to original sources

bioRxiv2026

Brassinosteroid-regulated transcription factors confer epigenetic changes that repress plant immunity

When organisms encounter pathogens, they rapidly activate complex defense programs to ensure survival. While these immune responses are vital, they often also incur trade-offs, such as reduced growth and development and must therefore be tightly controlled 1,2. In this study, we reveal that the steroid hormones brassinosteroids (BRs) contribute to this control in Arabidopsis thaliana by repressing immunity-related genes. We provide evidence that the BR-regulated basic helix-loop-helix (bHLH) transcription factor CESTA (CES), along with its homologs BR ENHANCED EXPRESSION (BEE)1-3, mediate DNA methylation changes at transposable element (TE)-rich loci containing nucleotide-binding leucine-rich-repeat (NLR)-type receptor genes, including SUPPRESSOR OF NPR1-1 CONSTITUTIVE 1 (SNC1). These CES-induced methylation changes correlate with altered splicing of SNC1 pre-mRNA, a process that requires the BR receptor BRASSINOSTEROID INSENSITIVE 1 (BRI1). In support, we show that CES associates with components of the chromatin remodeling and splicing machinery. Together, our findings reveal a previously unrecognized BR-induced mechanism that modulates the epigenetic and post transcriptional regulation of immune genes, enabling plants to prioritize growth over defense. Significance statementSteroid hormones are powerful regulators of growth but also act as potent suppressors of immunity, with well-established clinical applications, for example in treating autoimmune diseases in humans. In plants, the steroid hormones brassinosteroids (BRs) exert similar effects. Here, we uncover that BR-mediated immune suppression involves DNA methylation changes and alternative splicing of a subset of immune receptor genes, that govern resistance responses mediated by the plant hormone salicylic acid. We provide evidence for a function of specific bHLH transcription factors in this process that link BR signaling to chromatin remodelling and RNA processing. Thereby our study reveals a novel mode of steroid hormone activity in immune repression, which involves epigenetic and posttranscriptional adjustment of immune receptor function.

plant biology↗

bioRxiv2025

DNA methylome responses to biotic and abiotic stress in Arabidopsis thaliana: A multi-study analysis

Plants have evolved complex physiological and morphological strategies to cope with biotic and abiotic stress. At the molecular level, these responses are partly mediated by epigenetic mechanisms such as DNA methylation. In Arabidopsis thaliana, numerous studies have examined stress-induced changes in DNA methylation, aiming to elucidate their roles in stress acclimation. However, comparing these studies remains difficult due to variations in analytical methods and focus. To address this, we conducted an integrative analysis of 13 studies (16 datasets) using a unified bioinformatic pipeline to identify common and stress-specific methylation responses. Our results show that the number and distribution of differentially methylated regions (DMRs) vary by stress type and methylation context CG, CHG, and CHH. CG DMRs were primarily located in gene bodies, while CHG and CHH DMRs were enriched in transposable elements (TEs). Gene Ontology analysis revealed consistently enriched stress-related terms across conditions, indicating shared epigenetic regulation. As TEs have been proposed to act as stress sensors and regulators of nearby gene expression, we examined gene-proximal TEs in more detail. We found significant enrichment of stress-responsive methylation changes in LINE/L1, RathE1_ons, and DNA/HAT elements. While stress-induced methylation is often considered transient, many affected CG DMRs overlapped with loci known to accumulate stable epimutations over generations, suggesting that stress may contribute to long-term heritable epigenetic variation. These findings enhance our understanding of epigenetic regulation in plant stress responses, highlighting both shared and stress-specific methylation dynamics. Significance statementWe combined 16 Arabidopsis thaliana Whole-Genome Bisulfite Sequencing datasets to reveal common and stress-specific DNA methylation responses. Although global methylation levels remained stable, specific DMRs varied according to the type of stress and genomics context. Gene Ontology analysis revealed shared stress pathways. Gene-proximal transposable elements (TEs) (e.g. LINE/L1, RathE1_ons, DNA/HAT) were enriched for stress-responsive methylation changes. Notably, a subset of stress-induced CG DMRs overlap with epimutation-prone loci, suggesting an environmental route toward stable, heritable epigenetic variation.

plant biology↗

bioRxiv2024

Accelerated growth increases the somatic epimutation rate in trees

Trees are critical components of ecosystems and of major economic importance. Due to their extraordinary longevity and well-defined modular architecture they have also emerged as model systems to study the long-term accumulation of somatic mutations in plants. Coupled with retrospective life-history and environmental data, trees can offer unique insights into mutational processes that would be difficult to obtain with prospective studies. In addition to genetic mutations, somatic epimutations in the form of stochastic gains and losses of DNA cytosine methylation have been shown to accumulate rapidly during ontogeny. One hypothesis is that somatic epimutations originate from DNA methylation maintenance errors during mitotic cell divisions, which would predict that their rate of accumulation scales with growth rate, rather than with age. Here we test this hypothesis in European beech. We analyzed one of the oldest continuously measured experimental plots in the world. The plot contains an even-aged beech stand that was established in 1822 and monitored for growth at regular intervals until the present. Starting [~]150 years ago, alternative thinning strategies were applied to subplots of this experiment, resulting in differential stem growth rates among trees. We show that accelerated growth significantly increased the per-year somatic epimutation rate at CG dinucleotides, and that this effect is accompanied by differences in cell division rates. Hence, faster growth elevates the chances for methylation maintenance errors during DNA replication per unit time. As somatic CG epimutations can be stably inherited to subsequent generations in plants, our insights have direct ecological and evolutionary implications.

genomics↗

bioRxiv2019

MethylStar: A fast and robust pipeline for high-throughput analysis of bulk or single-cell WGBS data

BackgroundWhole-Genome Bisulfite Sequencing (WGBS) is a Next Generation Sequencing (NGS) technique for measuring DNA methylation at base resolution. Continuing drops in sequencing costs are beginning to enable high-throughput surveys of DNA methylation in large samples of individuals and/or single cells. These surveys can easily generate hundreds or even thousands of WGBS datasets in a single study. The efficient pre-processing of these large amounts of data poses major computational challenges and creates unnecessary bottlenecks for downstream analysis and biological interpretation. ResultsTo offer an efficient analysis solution, we present MethylStar, a fast, stable and flexible pre-processing pipeline for WGBS data. MethylStar integrates well-established tools for read trimming, alignment and methylation state calling in a highly parallelized environment, manages computational resources and performs automatic error detection. MethylStar offers easy installation through a dockerized container with all preloaded dependencies and also features a user-friendly interface designed for experts/non-experts. Application of MethylStar to WGBS from human, maize and Arabidopsis shows that it outperforms existing pre-processing pipelines in terms of speed and memory requirements. ConclusionsMethylStar is a fast, stable and flexible pipeline for high-throughput pre-processing of bulk or single-cell WGBS data. Its easy installation and user-friendly interface should make it a useful resource for the wider epigenomics community. MethylStar is distributed under GPL-3.0 license and source code is publicly available for download from github https://github.com/jlab-code/MethylStar. Installation through a docker image is available from http://jlabdata.org/methylstar.tar.gz

bioinformatics↗

bioRxiv2019

AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants

IntroductionHeritable changes in cytosine methylation can arise stochastically in plant genomes independently of DNA sequence alterations. These so-called spontaneous epimutations appear to be a byproduct of imperfect DNA methylation maintenance during mitotic or meitotic cell divisions. Accurate estimates of the rate and spectrum of these stochastic events are necessary to be able to quantify how epimutational processes shape methylome diversity in the context of plant evolution, development and aging. MethodHere we describe AlphaBeta, a computational method for estimating epimutation rates and spectra from pedigree-based high-throughput DNA methylation data. The approach requires that the topology of the pedigree is known, which is typically the case in the experimental construction of mutation accumulation lines (MA-lines) in sexually or clonally reproducing species. However, this method also works for inferring somatic epimutation rates in long-lived perennials, such as trees, using leaf methylomes and coring data as input. In this case, we treat the tree branching structure as an intra-organismal phylogeny of somatic lineages and leverage information about the epimutational history of each branch. ResultsTo illustrate the method, we applied AlphaBeta to multi-generational data from selfing- and asexually-derived MA-lines in Arabidopsis and dandelion, as well as to intra-generational leaf methylome data of a single poplar tree. Our results show that the epimutation landscape in plants is deeply conserved across angiosperm species, and that heritable epimutations originate mainly during somatic development, rather than from DNA methylation reinforcement errors during sexual reproduction. Finally, we also provide the first evidence that DNA methylation data, in conjunction with statistical epimutation models, can be used as a molecular clock for age-dating trees. ConclusionAlphaBeta faciliates unprecedented quantitative insights into epimutational processes in a wide range of plant systems. Software implementing our method is available as a Bioconductor R package at http://bioconductor.org/packages/3.10/bioc/html/AlphaBeta.html

genomics↗