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      • Record: found
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      Landscape of transcription termination in Arabidopsis revealed by single-molecule nascent RNA sequencing

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          Abstract

          Background

          The dynamic process of transcription termination produces transient RNA intermediates that are difficult to distinguish from each other via short-read sequencing methods.

          Results

          Here, we use single-molecule nascent RNA sequencing to characterize the various forms of transient RNAs during termination at genome-wide scale in wildtype Arabidopsis and in atxrn3, fpa, and met1 mutants. Our data reveal a wide range of termination windows among genes, ranging from ~ 50 nt to over 1000 nt. We also observe efficient termination before downstream tRNA genes, suggesting that chromatin structure around the promoter region of tRNA genes may block pol II elongation. 5′ Cleaved readthrough transcription in atxrn3 with delayed termination can run into downstream genes to produce normally spliced and polyadenylated mRNAs in the absence of their own transcription initiation. Consistent with previous reports, we also observe long chimeric transcripts with cryptic splicing in fpa mutant; but loss of CG DNA methylation has no obvious impact on termination in the met1 mutant.

          Conclusions

          Our method is applicable to establish a comprehensive termination landscape in a broad range of species.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13059-021-02543-4.

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          Most cited references71

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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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            STAR: ultrafast universal RNA-seq aligner.

            Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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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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                Author and article information

                Contributors
                zhaijx@sustech.edu.cn
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                25 November 2021
                25 November 2021
                2021
                : 22
                : 322
                Affiliations
                [1 ]GRID grid.263817.9, ISNI 0000 0004 1773 1790, Department of Biology, School of Life Sciences, , Southern University of Science and Technology, ; Shenzhen, 518055 China
                [2 ]GRID grid.263817.9, ISNI 0000 0004 1773 1790, Institute of Plant and Food Science, , Southern University of Science and Technology, ; Shenzhen, 518055 China
                [3 ]GRID grid.263817.9, ISNI 0000 0004 1773 1790, Key Laboratory of Molecular Design for Plant Cell Factory of Guangdong Higher Education Institutes, , Southern University of Science and Technology, ; Shenzhen, 518055 China
                [4 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, , Chinese Academy of Sciences, ; Beijing, 100101 China
                Author information
                http://orcid.org/0000-0002-0217-0666
                Article
                2543
                10.1186/s13059-021-02543-4
                8613925
                34823554
                1074ed82-6afa-456d-847b-6ceda31425c8
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 July 2021
                : 1 November 2021
                Funding
                Funded by: national key r&d program of china grant
                Award ID: 2019YFA0903903
                Award Recipient :
                Funded by: program for guangdong introducing innovative and entrepreneurial teams
                Award ID: 2016ZT06S172
                Award Recipient :
                Funded by: shenzhen sci-tech fund
                Award ID: KYTDPT20181011104005
                Award Recipient :
                Funded by: key laboratory of molecular design for plant cell factory of guangdong higher education institutes
                Award ID: 2019KSYS006
                Award Recipient :
                Funded by: stable support plan program of shenzhen natural science fund grant
                Award ID: 20200925153345004
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Genetics
                transcription termination,nascent rna,nanopore sequencing,arabidopsis
                Genetics
                transcription termination, nascent rna, nanopore sequencing, arabidopsis

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