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      Genome diversity of tuber-bearing Solanum uncovers complex evolutionary history and targets of domestication in the cultivated potato

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          Significance

          Worldwide, potato is the third most important crop grown for direct human consumption, but breeders have struggled to produce new varieties that outperform those released over a century ago, as evidenced by the most widely grown North American cultivar (Russet Burbank) released in 1876. Despite its importance, potato genetic diversity at the whole-genome level remains largely unexplored. Analysis of cultivated potato and its wild relatives using modern genomics approaches can provide insight into the genomic diversity of extant germplasm, reveal historic introgressions and hybridization events, and identify genes targeted during domestication that control variance for agricultural traits, all critical information to address food security in 21st century agriculture.

          Abstract

          Cultivated potatoes ( Solanum tuberosum L.), domesticated from wild Solanum species native to the Andes of southern Peru, possess a diverse gene pool representing more than 100 tuber-bearing relatives ( Solanum section Petota). A diversity panel of wild species, landraces, and cultivars was sequenced to assess genetic variation within tuber-bearing Solanum and the impact of domestication on genome diversity and identify key loci selected for cultivation in North and South America. Sequence diversity of diploid and tetraploid S. tuberosum exceeded any crop resequencing study to date, in part due to expanded wild introgressions following polyploidy that captured alleles outside of their geographic origin. We identified 2,622 genes as under selection, with only 14–16% shared by North American and Andean cultivars, showing that a limited gene set drove early improvement of cultivated potato, while adaptation of upland ( S. tuberosum group Andigena) and lowland ( S. tuberosum groups Chilotanum and Tuberosum) populations targeted distinct loci. Signatures of selection were uncovered in genes controlling carbohydrate metabolism, glycoalkaloid biosynthesis, the shikimate pathway, the cell cycle, and circadian rhythm. Reduced sexual fertility that accompanied the shift to asexual reproduction in cultivars was reflected by signatures of selection in genes regulating pollen development/gametogenesis. Exploration of haplotype diversity at potato’s maturity locus ( StCDF1) revealed introgression of truncated alleles from wild species, particularly S. microdontum in long-day–adapted cultivars. This study uncovers a historic role of wild Solanum species in the diversification of long-day–adapted tetraploid potatoes, showing that extant natural populations represent an essential source of untapped adaptive potential.

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          Most cited references92

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          FLASH: fast length adjustment of short reads to improve genome assemblies.

          Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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            Evolution of crop species: genetics of domestication and diversification.

            Domestication is a good model for the study of evolutionary processes because of the recent evolution of crop species (<12,000 years ago), the key role of selection in their origins, and good archaeological and historical data on their spread and diversification. Recent studies, such as quantitative trait locus mapping, genome-wide association studies and whole-genome resequencing studies, have identified genes that are associated with the initial domestication and subsequent diversification of crops. Together, these studies reveal the functions of genes that are involved in the evolution of crops that are under domestication, the types of mutations that occur during this process and the parallelism of mutations that occur in the same pathways and proteins, as well as the selective forces that are acting on these mutations and that are associated with geographical adaptation of crop species.
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              Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection.

              We report a large-scale analysis of the patterns of genome-wide genetic variation in soybeans. We re-sequenced a total of 17 wild and 14 cultivated soybean genomes to an average of approximately ×5 depth and >90% coverage using the Illumina Genome Analyzer II platform. We compared the patterns of genetic variation between wild and cultivated soybeans and identified higher allelic diversity in wild soybeans. We identified a high level of linkage disequilibrium in the soybean genome, suggesting that marker-assisted breeding of soybean will be less challenging than map-based cloning. We report linkage disequilibrium block location and distribution, and we identified a set of 205,614 tag SNPs that may be useful for QTL mapping and association studies. The data here provide a valuable resource for the analysis of wild soybeans and to facilitate future breeding and quantitative trait analysis.
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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
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                14 November 2017
                30 October 2017
                30 October 2017
                : 114
                : 46
                : E9999-E10008
                Affiliations
                [1] aDepartment of Plant Biology, Michigan State University , East Lansing, MI 48824;
                [2] bDepartment of Horticulture, Virginia Polytechnic University and State University , Blacksburg, VA 24061;
                [3] cDepartment of Plant, Soil, and Microbial Sciences, Michigan State University , East Lansing, MI 48824
                Author notes
                1To whom correspondence should be addressed. Email: buell@ 123456msu.edu .

                Edited by Esther van der Knaap, University of Georgia, and accepted by Editorial Board Member June B. Nasrallah October 5, 2017 (received for review August 21, 2017)

                Author contributions: M.A.H., D.S.D., and C.R.B. designed research; M.A.H., L.N., E.C., K.W.-R., J.C.W., E.M.F., and C.R.B. performed research; M.A.H., F.P.E.L., E.C., J.P.H., B.V., E.M.F., R.E.V., and C.R.B. analyzed data; and M.A.H., F.P.E.L., E.M.F., R.E.V., and C.R.B. wrote the paper.

                Article
                201714380
                10.1073/pnas.1714380114
                5699086
                29087343
                a7bed302-ed37-4821-bd10-1365d750a39e
                Copyright © 2017 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 10
                Funding
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: ISO-1237969
                Funded by: USDA | National Institute of Food and Agriculture (NIFA) 100005825
                Award ID: 2009-85606-05673
                Funded by: Michigan State University (MSU) 100007709
                Award ID: No grant number
                Categories
                PNAS Plus
                Biological Sciences
                Plant Biology
                PNAS Plus

                potato,diversity,domestication,introgression,adaptation
                potato, diversity, domestication, introgression, adaptation

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