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      MethSemble-6mA: an ensemble-based 6mA prediction server and its application on promoter region of LBD gene family in Poaceae

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          Abstract

          The Lateral Organ Boundaries Domain (LBD) containing genes are a set of plant-specific transcription factors and are crucial for controlling both organ development and defense mechanisms as well as anthocyanin synthesis and nitrogen metabolism. It is imperative to understand how methylation regulates gene expression, through predicting methylation sites of their promoters particularly in major crop species. In this study, we developed a user-friendly prediction server for accurate prediction of 6mA sites by incorporating a robust feature set, viz., Binary Encoding of Mono-nucleotide DNA. Our model,MethSemble-6mA, outperformed other state-of-the-art tools in terms of accuracy (93.12%). Furthermore, we investigated the pattern of probable 6mA sites at the upstream promoter regions of the LBD-containing genes in Triticum aestivum and its allied species using the developed tool. On average, each selected species had four 6mA sites, and it was found that with speciation and due course of evolution in wheat, the frequency of methylation have reduced, and a few sites remain conserved. This obviously cues gene birth and gene expression alteration through methylation over time in a species and reflects functional conservation throughout evolution. Since DNA methylation is a vital event in almost all plant developmental processes (e.g., genomic imprinting and gametogenesis) along with other life processes, our findings on epigenetic regulation of LBD-containing genes have dynamic implications in basic and applied research. Additionally, MethSemble-6mA ( http://cabgrid.res.in:5799/) will serve as a useful resource for a plant breeders who are interested to pursue epigenetic-based crop improvement research.

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              MEGA11: Molecular Evolutionary Genetics Analysis Version 11

              The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comprehensive tool for building timetrees of species, pathogens, and gene families using rapid relaxed-clock methods. Methods for estimating divergence times and confidence intervals are implemented to use probability densities for calibration constraints for node-dating and sequence sampling dates for tip-dating analyses. They are supported by new options for tagging sequences with spatiotemporal sampling information, an expanded interactive Node Calibrations Editor , and an extended Tree Explorer to display timetrees. Also added is a Bayesian method for estimating neutral evolutionary probabilities of alleles in a species using multispecies sequence alignments and a machine learning method to test for the autocorrelation of evolutionary rates in phylogenies. The computer memory requirements for the maximum likelihood analysis are reduced significantly through reprogramming, and the graphical user interface has been made more responsive and interactive for very big data sets. These enhancements will improve the user experience, quality of results, and the pace of biological discovery. Natively compiled graphical user interface and command-line versions of MEGA11 are available for Microsoft Windows, Linux, and macOS from www.megasoftware.net .
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2396670Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2505251Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2194175Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1958352Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2194242Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1712781Role: Role: Role:
                URI : https://loop.frontiersin.org/people/327961Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2364843Role: Role:
                URI : https://loop.frontiersin.org/people/328323Role:
                URI : https://loop.frontiersin.org/people/1803179Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                09 October 2023
                2023
                : 14
                : 1256186
                Affiliations
                [1] 1 ICAR-Indian Agricultural Statistics Research Institute , Delhi, India
                [2] 2 Graduate School, ICAR-Indian Agricultural Research Institute , Delhi, India
                [3] 3 ICAR-National Bureau of Fish Genetic Resources , Lucknow, India
                [4] 4 ICAR-National Institute for Plant Biotechnology , Delhi, India
                [5] 5 ICAR-Indian Agricultural Research Institute , Hazaribagh, Jharkhand, India
                [6] 6 Indian Council of Agricultural Research , Delhi, India
                [7] 7 ICAR-National Bureau of Plant Genetic Resources , Delhi, India
                Author notes

                Edited by: Shouvik Das, Regional Centre for Biotechnology (RCB), India

                Reviewed by: Janardanan Sreekumar, Central Tuber Crops Research Institute (ICAR), India; Guosheng Han, Xiangtan University, China; Shashi Rawat, ICAR-Central Institute of Agricultural Engineering, India

                *Correspondence: Sunil Archak, sunil.archak@ 123456icar.gov.in
                Article
                10.3389/fpls.2023.1256186
                10591185
                37877081
                05503796-1de8-407b-98b3-c718ef2f2a8e
                Copyright © 2023 Sinha, Dasmandal, Paul, Yeasin, Bhattacharjee, Murmu, Mishra, Pal, Rai and Archak

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 July 2023
                : 01 September 2023
                Page count
                Figures: 7, Tables: 4, Equations: 7, References: 42, Pages: 11, Words: 4845
                Funding
                The study was partly supported by the ICAR-National Fellow Project on PGR Informatics (grant no. 1006528).
                Categories
                Plant Science
                Original Research
                Custom metadata
                Functional and Applied Plant Genomics

                Plant science & Botany
                6ma,ensemble model,dna methylation,methsemble-6ma,lbd gene,wheat,poaceae,prediction
                Plant science & Botany
                6ma, ensemble model, dna methylation, methsemble-6ma, lbd gene, wheat, poaceae, prediction

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