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      Pan-centromere reveals widespread centromere repositioning of soybean genomes

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          Significance

          Centromeres are crucial for ensuring accurate chromosome segregation in eukaryotic organisms. We identified centromere satellites associated with chromosome 1 of soybean, revealing significant rearrangements and impacting the localization of CENH3. Comparative analysis shows frequent centromere repositioning across chromosomes, with new centromeres forming near native ones or independently emerging. Hybrid crosses demonstrate significant changes in centromere size and position, highlighting their dynamic nature. Crucially, our findings emphasize the role of centromere satellites in maintaining stable positions, underscoring their importance in centromere organization.

          Abstract

          Centromere repositioning refers to a de novo centromere formation at another chromosomal position without sequence rearrangement. This phenomenon was frequently encountered in both mammalian and plant species and has been implicated in genome evolution and speciation. To understand the dynamic of centromeres on soybean genome, we performed the pan-centromere analysis using CENH3-ChIP-seq data from 27 soybean accessions, including 3 wild soybeans, 9 landraces, and 15 cultivars. Building upon the previous discovery of three centromere satellites in soybean, we have identified two additional centromere satellites that specifically associate with chromosome 1. These satellites reveal significant rearrangements in the centromere structures of chromosome 1 across different accessions, consequently impacting the localization of CENH3. By comparative analysis, we reported a high frequency of centromere repositioning on 14 out of 20 chromosomes. Most newly emerging centromeres formed in close proximity to the native centromeres and some newly emerging centromeres were apparently shared in distantly related accessions, suggesting their emergence is independent. Furthermore, we crossed two accessions with mismatched centromeres to investigate how centromere positions would be influenced in hybrid genetic backgrounds. We found that a significant proportion of centromeres in the S9 generation undergo changes in size and position compared to their parental counterparts. Centromeres preferred to locate at satellites to maintain a stable state, highlighting a significant role of centromere satellites in centromere organization. Taken together, these results revealed extensive centromere repositioning in soybean genome and highlighted how important centromere satellites are in constraining centromere positions and supporting centromere function.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                10 October 2023
                17 October 2023
                10 April 2024
                : 120
                : 42
                : e2310177120
                Affiliations
                [1] aState Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences , Beijing 100101, China
                [2] bCollege of Advanced Agricultural Sciences, University of the Chinese Academy of Sciences , Beijing 100049, China
                [3] cGuangdong Laboratory for Lingnan Modern Agriculture, College of Life Sciences, South China Agricultural University , Guangzhou 510642, China
                Author notes
                2To whom correspondence may be addressed. Email: zxtian@ 123456genetics.ac.cn or fphan@ 123456genetics.ac.cn .

                Edited by David Baulcombe, University of Cambridge, Cambridge, United Kingdom; received June 16, 2023; accepted September 6, 2023

                1Y.L., C.Y., C.F., Q.L., and S.L. contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-2748-4303
                https://orcid.org/0000-0003-4168-8051
                https://orcid.org/0000-0001-5788-9611
                https://orcid.org/0000-0002-6593-5179
                https://orcid.org/0000-0001-8313-8803
                https://orcid.org/0000-0002-7668-3317
                https://orcid.org/0000-0001-8393-3575
                Article
                202310177
                10.1073/pnas.2310177120
                10589659
                37816061
                67d7fc3c-e620-4eaa-9f0b-5783f91f05b4
                Copyright © 2023 the Author(s). Published by PNAS.

                This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 16 June 2023
                : 06 September 2023
                Page count
                Pages: 12, Words: 7455
                Funding
                Funded by: MOST | National Natural Science Foundation of China (NSFC), FundRef 501100001809;
                Award ID: 31991212
                Award Recipient : Yang Liu Award Recipient : CongYang Yi Award Recipient : Chaolan Fan Award Recipient : Qian Liu Award Recipient : Shulin Liu Award Recipient : Lisha Shen Award Recipient : Kaibiao Zhang Award Recipient : Yuhong Huang Award Recipient : Chang Liu Award Recipient : Yingxiang Wang Award Recipient : Zhixi Tian
                Categories
                dataset, Dataset
                research-article, Research Article
                cell-bio, Cell Biology
                409
                Biological Sciences
                Cell Biology

                centromere repositioning,soybean,centromere satellites,cenh3

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