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      duper is a null mutation of Cryptochrome 1 in Syrian hamsters

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          Significance

          We successfully identified the duper allele as a null mutation of Cryptochrome 1 in Syrian hamsters. Here, we have shown the use of fast homozygosity mapping as an effective approach to identify causal mutations in mammals, despite lacking chromosomal genome information. In the course of this work, we improved the draft Syrian hamster genome and generated datasets necessary to exploit Syrian hamsters as a modern genetic research model. The unique physiological features of Syrian hamsters make them a desirable model to investigate human diseases, including circadian disorders, cancer, heart function, metabolism, and infectious diseases (e.g., severe acute respiratory syndrome coronavirus 2).

          Abstract

          The duper mutation is a recessive mutation that shortens the period length of the circadian rhythm in Syrian hamsters. These animals show a large phase shift when responding to light pulses. Limited genetic resources for the Syrian hamster ( Mesocricetus auratus) presented a major obstacle to cloning duper. This caused the duper mutation to remain unknown for over a decade. In this study, we did a de novo genome assembly of Syrian hamsters with long-read sequencing data from two different platforms, Pacific Biosciences and Oxford Nanopore Technologies. Using two distinct ecotypes and a fast homozygosity mapping strategy, we identified duper as an early nonsense allele of Cryptochrome 1 ( Cry1) leading to a short, unstable protein. CRY1 is known as a highly conserved component of the repressive limb of the core circadian clock. The genome assembly and other genomic datasets generated in this study will facilitate the use of the Syrian hamster in biomedical research.

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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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              The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

              Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                26 April 2022
                3 May 2022
                26 April 2022
                : 119
                : 18
                : e2123560119
                Affiliations
                [1] aDivisions of Human Genetics and Immunobiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center , Cincinnati, OH 45229;
                [2] bDepartment of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine , Cincinnati, OH 45229;
                [3] cDepartment of Biology, University of Massachusetts Amherst , Amherst, MA 01003;
                [4] dProgram in Neuroscience & Behavior, University of Massachusetts Amherst , Amherst, MA 01003;
                [5] eInstitute for Translational Medicine and Therapeutics, University of Pennsylvania , Philadelphia, PA 19104;
                [6] fUniversity of Wisconsin Biotechnology Center, University of Wisconsin–Madison , Madison, WI 53706
                Author notes
                2To whom correspondence may be addressed. Email: john.hogenesch@ 123456cchmc.org .

                Edited by Joseph Takahashi, The University of Texas Southwestern Medical Center, Dallas, TX; received January 3, 2022; accepted March 8, 2022

                Author contributions: J.B.H. designed research; Y.Y.L., S.C.-K., L.J.F., M.S.B., G.W., M.E.B., and E.L.B. performed research; Y.Y.L., S.C.-K., K.E.H., G.W., M.J.Z., R.R., J.S., J.K., M.E.B., and J.B.H. contributed new reagents/analytic tools; Y.Y.L., S.C.-K., L.J.F., M.S.B., K.E.H., and E.L.B. analyzed data; and Y.Y.L., S.C.-K., L.J.F., M.S.B., G.W., M.E.B., E.L.B., and J.B.H. wrote the paper.

                1Y.Y.L. and S.C.-K. contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-8092-3926
                https://orcid.org/0000-0001-9357-1344
                https://orcid.org/0000-0002-2121-875X
                https://orcid.org/0000-0002-5700-354X
                https://orcid.org/0000-0002-7821-2420
                https://orcid.org/0000-0001-6282-0117
                https://orcid.org/0000-0001-6968-7590
                https://orcid.org/0000-0002-9138-8973
                Article
                202123560
                10.1073/pnas.2123560119
                9170138
                35471909
                2f7f417d-8141-4eff-b142-0199c84c6cb6
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 08 March 2022
                Page count
                Pages: 8
                Funding
                Funded by: HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) 100000050
                Award ID: 5R01HL138551-02
                Award Recipient : Eric L Bittman Award Recipient : John B Hogenesch
                Categories
                419
                Biological Sciences
                Genetics

                fast homozygosity mappings,cry1-null,short circadian period length,syrian hamster genome

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