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      Plant AFC2 kinase desensitizes thermomorphogenesis through modulation of alternative splicing

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          Summary

          High ambient temperatures have adverse impacts on crop yields. Although a few plant thermosensors have been reported, these sensors directly or indirectly impact PIF4-controlled transcriptional regulation. Moreover, high temperatures also trigger a number of post-transcriptional alternative splicing events in plants and even in animals. Here, we show that LAMMER kinase AFC2 in Arabidopsis controls high-temperature-triggered alternative splicing. Plants without AFC2 exhibited distorted splicing patterns at a high ambient temperature. Further investigations revealed that high temperatures triggered alternative splicing in the majority of PIF4 target genes as a means of desensitizing PIF4 signaling. Consistently, the afc2 mutants exhibited more exaggerated high ambient temperature responses in a PIF4-dependent manner. AFC2 directly phosphorylated the serine/arginine-rich protein splicing factor RSZ21, and AFC2 kinase activity decreased with increasing temperature, indicating that the AFC2 itself may sense temperature changes. In summary, we report that alternative splicing is a safe-guard mechanism when plants encounter high temperature.

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          Highlights

          • AFC2 controls alternative splicing under high ambient temperature

          • AFC2 negatively regulates thermomorphogenesis

          • AFC2 kinase activity is temperature-sensitive

          Abstract

          Molecular biology; Molecular mechanism of gene regulation; Plant biology

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          Most cited references35

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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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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              HISAT: a fast spliced aligner with low memory requirements.

              HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                11 March 2022
                15 April 2022
                11 March 2022
                : 25
                : 4
                : 104051
                Affiliations
                [1 ]College of Life Sciences, Nanjing Normal University, 210023 Nanjing, China
                Author notes
                []Corresponding author zqzhu@ 123456njnu.edu.cn
                [2]

                These authors contributed equally

                [3]

                Lead contact

                Article
                S2589-0042(22)00321-2 104051
                10.1016/j.isci.2022.104051
                8956811
                35345463
                707e6759-d571-44ea-9cf7-cc201b302d8e
                © 2022 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 8 September 2021
                : 12 February 2022
                : 8 March 2022
                Categories
                Article

                molecular biology,molecular mechanism of gene regulation,plant biology

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