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      Establishing an optimized ATAC-seq protocol for the maize

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          Abstract

          The advent of next-generation sequencing in crop improvement offers unprecedented insights into the chromatin landscape closely linked to gene activity governing key traits in plant development and adaptation. Particularly in maize, its dynamic chromatin structure is found to collaborate with massive transcriptional variations across tissues and developmental stages, implying intricate regulatory mechanisms, which highlights the importance of integrating chromatin information into breeding strategies for precise gene controls. The depiction of maize chromatin architecture using Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) provides great opportunities to investigate cis-regulatory elements, which is crucial for crop improvement. In this context, we developed an easy-to-implement ATAC-seq protocol for maize with fewer nuclei and simple equipment. We demonstrate a streamlined ATAC-seq protocol with four key steps for maize in which nuclei purification can be achieved without cell sorting and using only a standard bench-top centrifuge. Our protocol, coupled with the bioinformatic analysis, including validation by read length periodicity, key metrics, and correlation with transcript abundance, provides a precise and efficient assessment of the maize chromatin landscape. Beyond its application to maize, our testing design holds the potential to be applied to other crops or other tissues, especially for those with limited size and amount, establishing a robust foundation for chromatin structure studies in diverse crop species.

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          Most cited references54

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

            Rapid advances in next-generation sequencing technologies have dramatically changed our ability to perform genome-scale analyses. The human reference genome used for most genomic analyses represents only a small number of individuals, limiting its usefulness for genotyping. We designed a novel method, HISAT2, for representing and searching an expanded model of the human reference genome, in which a large catalogue of known genomic variants and haplotypes is incorporated into the data structure used for searching and alignment. This strategy for representing a population of genomes, along with a fast and memory-efficient search algorithm, enables more detailed and accurate variant analyses than previous methods. We demonstrate two initial applications of HISAT2: HLA typing, a critical need in human organ transplantation, and DNA fingerprinting, widely used in forensics. These applications are part of HISAT-genotype, with performance not only surpassing earlier computational methods, but matching or exceeding the accuracy of laboratory-based assays.
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              Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

              We describe an assay for transposase-accessible chromatin using sequencing (ATAC-seq), based on direct in vitro transposition of sequencing adaptors into native chromatin, as a rapid and sensitive method for integrative epigenomic analysis. ATAC-seq captures open chromatin sites using a simple two-step protocol with 500-50,000 cells and reveals the interplay between genomic locations of open chromatin, DNA-binding proteins, individual nucleosomes and chromatin compaction at nucleotide resolution. We discovered classes of DNA-binding factors that strictly avoided, could tolerate or tended to overlap with nucleosomes. Using ATAC-seq maps of human CD4(+) T cells from a proband obtained on consecutive days, we demonstrated the feasibility of analyzing an individual's epigenome on a timescale compatible with clinical decision-making.
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                Author and article information

                Contributors
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                URI : https://loop.frontiersin.org/people/88899Role: Role: Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                28 May 2024
                2024
                : 15
                : 1370618
                Affiliations
                [1] 1 Institute of Plant and Microbial Biology, Academia Sinica , Taipei, Taiwan
                [2] 2 Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University , Taipei, Taiwan
                [3] 3 Department of Tropical Agriculture and International Cooperation/Department of Biological Science and Technology, National Pingtung University of Science and Technology , Pingtung, Taiwan
                Author notes

                Edited by: Manohar Chakrabarti, The University of Texas Rio Grande Valley, United States

                Reviewed by: Haibo Liu, University of Massachusetts Medical School, United States

                Eduardo D. Munaiz, UniLaSalle, France

                *Correspondence: Pao-Yang Chen, paoyang@ 123456gate.sinica.edu.tw ; Chung-Ju Rachel Wang, rwang@ 123456gate.sinica.edu.tw

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpls.2024.1370618
                11165127
                38863553
                54f0b2f9-eefe-44ed-99a6-b8ddd2d67b06
                Copyright © 2024 Hsieh, Lin, Wang, Lee, Chang, Lu, Chen and Wang

                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
                : 15 January 2024
                : 07 May 2024
                Page count
                Figures: 14, Tables: 1, Equations: 0, References: 57, Pages: 20, Words: 9624
                Funding
                Funded by: National Taiwan University , doi 10.13039/501100006477;
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by National Taiwan University and Academia Sinica (NTU-AS Innovative Joint Program: AS-NTU-112-12) to P-YC, and the Ministry of Science and Technology, Taiwan, grant no. 103-2311-B-001-014 and 107-2923-B-002-001-MY4 to C-JRW and grant no. 104-2923-B-001-003-MY2, 106-2311-B-001-035-MY3 and 111-2311-B-001-030 to P-YC.
                Categories
                Plant Science
                Methods
                Custom metadata
                Plant Genetics, Epigenetics and Chromosome Biology

                Plant science & Botany
                maize atac-seq,chromatin accessibility,chromatin structure,atac-seq protocol,next-generation sequencing

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