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      Genome-wide polymorphism and genic selection in feral and domesticated lineages of Cannabis sativa

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          Abstract

          A comprehensive understanding of the degree to which genomic variation is maintained by selection vs. drift and gene flow is lacking in many important species such as Cannabis sativa, one of the oldest known crops to be cultivated by humans worldwide. We generated whole genome resequencing data across diverse samples of feralized (escaped domesticated lineages) and domesticated lineages of C. sativa. We performed analyses to examine population structure, and genome-wide scans for F ST, balancing selection, and positive selection. Our analyses identified evidence for subpopulation structure and further supported the Asian origin hypothesis of this species. Feral plants sourced from the United States exhibited broad regions on chromosomes 4 and 10 with high F ¯ ST, which may indicate chromosomal inversions maintained at high frequency in this subpopulation. Both our balancing and positive selection analyses identified loci that may reflect differential selection for traits favored by natural selection and artificial selection in feral vs. domesticated subpopulations. In the US feral subpopulation, we found 6 loci related to stress response under balancing selection and 1 gene involved in disease resistance under positive selection, suggesting local adaptation to new climates and biotic interactions. In the marijuana subpopulation, we identified the gene SMALLER TRICHOMES WITH VARIABLE BRANCHES 2 to be under positive selection, which suggests artificial selection for increased tetrahydrocannabinol yield. Overall, the data generated and results obtained from our study help to form a better understanding of the evolutionary history in C. sativa.

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          Most cited references51

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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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              The variant call format and VCFtools

              Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API. Availability: http://vcftools.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
                February 2023
                26 August 2022
                26 August 2022
                : 13
                : 2
                : jkac209
                Affiliations
                Graduate Degree Program in Ecology, Colorado State University , Fort Collins, CO 80523, USA
                Department of Agricultural Biology, Colorado State University , Fort Collins, CO 80523, USA
                Department of Agricultural Biology, Colorado State University , Fort Collins, CO 80523, USA
                Bioinformatics Research Laboratory, Department of Biological Sciences , University of Cyprus, Nicosia, Cyprus
                Graduate Degree Program in Ecology, Colorado State University , Fort Collins, CO 80523, USA
                Department of Agricultural Biology, Colorado State University , Fort Collins, CO 80523, USA
                Author notes
                Present address for Paul Matthews: Hopsteiner, Yakima, WA 98903, USA.
                Corresponding author: Department of Agricultural Biology, Colorado State University, 1177 Campus Delivery, Fort Collins, CO 80523, USA. Email: jmckay@ 123456colostate.edu

                Conflicts of interest JKM is the Chief Scientific Officer for New West Genetics, Inc. and a holder of US Patent 10,499,584 B2. The other authors report no conflicts of interest.

                Author information
                https://orcid.org/0000-0003-4218-4824
                https://orcid.org/0000-0001-6672-2952
                https://orcid.org/0000-0003-4311-5513
                Article
                jkac209
                10.1093/g3journal/jkac209
                9911069
                36018239
                af06ebf6-cd44-4c88-95bf-1d1f0ace296c
                © The Author(s) 2022. Published by Oxford University Press on behalf of 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
                : 01 August 2022
                : 26 May 2022
                : 29 August 2022
                Page count
                Pages: 10
                Categories
                Plant Genetics and Genomics
                Genetics/136
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960

                Genetics
                population structure,positive selection,balancing selection,plant genetics and genomics

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