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      A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungus Rhizophagus irregularis

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          Abstract

          The root systems of most plant species are aided by the soil-foraging capacities of symbiotic arbuscular mycorrhizal (AM) fungi of the Glomeromycotina subphylum. Despite recent advances in our knowledge of the ecology and molecular biology of this mutualistic symbiosis, our understanding of the AM fungi genome biology is just emerging. Presented here is a close to T2T genome assembly of the model AM fungus Rhizophagus irregularis DAOM197198, achieved through Nanopore long-read DNA sequencing and Hi-C data. This haploid genome assembly of R. irregularis, alongside short- and long-read RNA-Sequencing data, was used to produce a comprehensive annotation catalog of gene models, repetitive elements, small RNA loci, and DNA cytosine methylome. A phylostratigraphic gene age inference framework revealed that the birth of genes associated with nutrient transporter activity and transmembrane ion transport systems predates the emergence of Glomeromycotina. While nutrient cycling in AM fungi relies on genes that existed in ancestor lineages, a burst of Glomeromycotina-restricted genetic innovation is also detected. Analysis of the chromosomal distribution of genetic and epigenetic features highlights evolutionarily young genomic regions that produce abundant small RNAs, suggesting active RNA-based monitoring of genetic sequences surrounding recently evolved genes. This chromosome-scale view of the genome of an AM fungus genome reveals previously unexplored sources of genomic novelty in an organism evolving under an obligate symbiotic life cycle.

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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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              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
                Role: Editor
                Journal
                G3 (Bethesda)
                Genetics
                g3journal
                G3: Genes|Genomes|Genetics
                Oxford University Press (US )
                2160-1836
                June 2023
                31 March 2023
                31 March 2023
                : 13
                : 6
                : jkad077
                Affiliations
                SPUN|Society for the Protection of Underground Networks , 3500 South DuPont Highway, Suite EI-101, Dover, DE 19901, USA
                Gurdon Institute, University of Cambridge , Cambridge CB2 1QN, UK
                Department of Algal Development and Evolution, Max Planck Institute for Biology , Max-Planck-Ring 5, Tübingen 72076, Germany
                Department of Algal Development and Evolution, Max Planck Institute for Biology , Max-Planck-Ring 5, Tübingen 72076, Germany
                Comparative Fungal Biology, Royal Botanic Gardens Kew, Jodrell Laboratory , Richmond TW9 3DS, UK
                Department of Life Sciences, Imperial College London , London SW7 2AZ, UK
                Department of Biology, University of Ottawa , Ottawa, ON, Canada K1N 6N5
                Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation , Canberra, ACT 2601, Australia
                Department of Biology, University of Ottawa , Ottawa, ON, Canada K1N 6N5
                Crop Science Centre, Department of Plant Sciences, University of Cambridge , Cambridge CB3 0LE, UK
                Gurdon Institute, University of Cambridge , Cambridge CB2 1QN, UK
                Department of Biochemistry, University of Cambridge , Tennis Court Road, Cambridge CB2 1QW, UK
                Gurdon Institute, University of Cambridge , Cambridge CB2 1QN, UK
                Comparative Fungal Biology, Royal Botanic Gardens Kew , Jodrell Laboratory, Richmond TW9 3DS, UK
                Department of Biochemistry, University of Cambridge , Tennis Court Road, Cambridge CB2 1QW, UK
                Author notes
                Corresponding author: Comparative Fungal Biology, Royal Botanic Gardens Kew, Jodrell Laboratory, Richmond TW9 3DS, UK. Email: ad984@ 123456cam.ac.uk , a.dallaire@ 123456kew.org

                Conflicts of interest The author(s) declare no conflict of interest.

                Article
                jkad077
                10.1093/g3journal/jkad077
                10234402
                36999556
                74fc3259-350f-4426-a1cc-e6e2c06d7cf6
                © The Author(s) 2023. Published by Oxford University Press on behalf of The Genetics Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 December 2022
                : 17 March 2023
                : 17 April 2023
                Page count
                Pages: 34
                Funding
                Funded by: Cancer Research UK, DOI 10.13039/501100000289;
                Award ID: C13474/A18583
                Award ID: C6946/A14492
                Funded by: Wellcome Trust, DOI 10.13039/100010269;
                Award ID: 219475/Z/19/Z
                Award ID: 092096/Z/10/Z
                Funded by: Max Planck Society, DOI 10.13039/501100004189;
                Funded by: European Research Council, DOI 10.13039/501100000781;
                Award ID: 864038
                Categories
                Genome Report
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140

                Genetics
                amf,arbuscular mycorrhizal fungi,genome assembly,genome evolution,gene birth,chromosome-scale
                Genetics
                amf, arbuscular mycorrhizal fungi, genome assembly, genome evolution, gene birth, chromosome-scale

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