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      Genome evolution and diversity of wild and cultivated potatoes

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          Abstract

          Potato ( Solanum tuberosum L.) is the world’s most important non-cereal food crop, and the vast majority of commercially grown cultivars are highly heterozygous tetraploids. Advances in diploid hybrid breeding based on true seeds have the potential to revolutionize future potato breeding and production 14 . So far, relatively few studies have examined the genome evolution and diversity of wild and cultivated landrace potatoes, which limits the application of their diversity in potato breeding. Here we assemble 44 high-quality diploid potato genomes from 24 wild and 20 cultivated accessions that are representative of Solanum section Petota, the tuber-bearing clade, as well as 2 genomes from the neighbouring section, Etuberosum. Extensive discordance of phylogenomic relationships suggests the complexity of potato evolution. We find that the potato genome substantially expanded its repertoire of disease-resistance genes when compared with closely related seed-propagated solanaceous crops, indicative of the effect of tuber-based propagation strategies on the evolution of the potato genome. We discover a transcription factor that determines tuber identity and interacts with the mobile tuberization inductive signal SP6A. We also identify 561,433 high-confidence structural variants and construct a map of large inversions, which provides insights for improving inbred lines and precluding potential linkage drag, as exemplified by a 5.8-Mb inversion that is associated with carotenoid content in tubers. This study will accelerate hybrid potato breeding and enrich our understanding of the evolution and biology of potato as a global staple food crop.

          Abstract

          High-quality diploid assemblies of potato genomes from 24 wild and 20 cultivated potatoes provide insights into the complex evolution and diversity of potatoes, and could have applications in the breeding of hybrid potatoes.

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          Most cited references108

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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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              MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

              We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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                Author and article information

                Contributors
                huangsanwen@caas.cn
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                8 June 2022
                8 June 2022
                2022
                : 606
                : 7914
                : 535-541
                Affiliations
                [1 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, , Chinese Academy of Agricultural Sciences, ; Shenzhen, China
                [2 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, , Chinese Academy of Agricultural Sciences, ; Beijing, China
                [3 ]GRID grid.4818.5, ISNI 0000 0001 0791 5666, Graduate School Experimental Plant Sciences, Laboratory of Plant Breeding, , Wageningen University and Research, ; Wageningen, The Netherlands
                [4 ]GRID grid.410739.8, ISNI 0000 0001 0723 6903, The AGISCAAS-YNNU Joint Academy of Potato Sciences, , Yunnan Normal University, ; Kunming, China
                [5 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Department of Integrative Biology, , University of California Berkeley, ; Berkeley, CA USA
                [6 ]GRID grid.43641.34, ISNI 0000 0001 1014 6626, Cell and Molecular Sciences, , The James Hutton Institute, ; Invergowrie, UK
                [7 ]GRID grid.213876.9, ISNI 0000 0004 1936 738X, Center for Applied Genetic Technologies, , University of Georgia, ; Athens, GA USA
                Author information
                http://orcid.org/0000-0003-3992-9573
                http://orcid.org/0000-0003-3127-4488
                http://orcid.org/0000-0003-1579-4600
                http://orcid.org/0000-0003-3601-460X
                http://orcid.org/0000-0001-8305-5231
                http://orcid.org/0000-0001-9791-7664
                http://orcid.org/0000-0002-7752-5740
                http://orcid.org/0000-0003-0658-1398
                http://orcid.org/0000-0002-8547-5309
                Article
                4822
                10.1038/s41586-022-04822-x
                9200641
                35676481
                3ef26c65-9ecf-430b-8f74-ddb4380a03fa
                © The Author(s) 2022

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 October 2021
                : 28 April 2022
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                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature Limited 2022

                Uncategorized
                agricultural genetics,genomics,plant breeding,agriculture,evolutionary genetics
                Uncategorized
                agricultural genetics, genomics, plant breeding, agriculture, evolutionary genetics

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