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      Taraxacum kok-saghyz (rubber dandelion) genomic microsatellite loci reveal modest genetic diversity and cross-amplify broadly to related species

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          Abstract

          Taraxacum kok-saghyz (TKS) carries great potential as alternative natural rubber source. To better inform future breeding efforts with TKS and gain a deeper understanding of its genetic diversity, we utilized de novo sequencing to generate novel genomic simple sequence repeats markers (gSSRs). We utilized 25 gSSRs on a collection of genomic DNA (gDNA) samples from germplasm bank, and two gDNA samples from historical herbarium specimens. PCR coupled with capillary electrophoresis and an array of population genetics tools were employed to analyze the dataset of our study as well as a dataset of the recently published genic SSRs (eSSRs) generated on the same germplasm. Our results using both gSSRs and eSSRs revealed that TKS has low- to- moderate genetic diversity with most of it partitioned to the individuals and individuals within populations, whereas the species lacked population structure. Nineteen of the 25 gSSR markers cross-amplified to other Taraxacum spp. collected from Southeastern United States and identified as T. officinale by ITS sequencing. We used a subset of 14 gSSRs to estimate the genetic diversity of the T. officinale gDNA collection. In contrast to the obligatory outcrossing TKS, T. officinale presented evidence for population structure and clonal reproduction, which agreed with the species biology. We mapped the molecular markers sequences from this study and several others to the well-annotated sunflower genome. Our gSSRs present a functional tool for the biodiversity analyses in Taraxacum, but also in the related genera, as well as in the closely related tribes of the Asteraceae.

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          AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GENES FOR PHYLOGENETICS

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            Genic microsatellite markers in plants: features and applications.

            Expressed sequence tag (EST) projects have generated a vast amount of publicly available sequence data from plant species; these data can be mined for simple sequence repeats (SSRs). These SSRs are useful as molecular markers because their development is inexpensive, they represent transcribed genes and a putative function can often be deduced by a homology search. Because they are derived from transcripts, they are useful for assaying the functional diversity in natural populations or germplasm collections. These markers are valuable because of their higher level of transferability to related species, and they can often be used as anchor markers for comparative mapping and evolutionary studies. They have been developed and mapped in several crop species and could prove useful for marker-assisted selection, especially when the markers reside in the genes responsible for a phenotypic trait. Applications and potential uses of EST-SSRs in plant genetics and breeding are discussed.
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              Some probabilistic and statistical problems on the analysis of DNA sequence

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                Author and article information

                Contributors
                mnowicki@utk.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 February 2019
                13 February 2019
                2019
                : 9
                : 1915
                Affiliations
                [1 ]ISNI 0000 0001 2315 1184, GRID grid.411461.7, Department of Entomology and Plant Pathology, , The University of Tennessee, ; Knoxville, TN USA
                [2 ]ISNI 0000 0004 1804 268X, GRID grid.443382.a, Guizhou Key Laboratory of Agro-Bioengineering, , Guizhou University, ; Huaxi, Guiyang P. R. China
                [3 ]Julius Kühn Institute for Breeding Research on Agricultural Crops, Sanitz OT Groß Lüsewitz, Germany
                [4 ]GRID grid.466567.0, Present Address: Centro de Biotecnología y Genómica de Plantas, UPM-INIA, ; 28223 Madrid, Spain
                Author information
                http://orcid.org/0000-0002-2655-5464
                http://orcid.org/0000-0003-1817-9400
                http://orcid.org/0000-0002-7718-9011
                http://orcid.org/0000-0003-2971-9353
                http://orcid.org/0000-0003-1991-2563
                http://orcid.org/0000-0002-7264-1822
                Article
                38532
                10.1038/s41598-019-38532-8
                6374447
                30760810
                52099e9f-6de4-4292-a35e-011b5ff3e1c7
                © The Author(s) 2019

                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
                : 28 September 2018
                : 19 December 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/100007917, United States Department of Agriculture | Agricultural Research Service (USDA Agricultural Research Service);
                Award ID: NACA 58-6062-6
                Award ID: NACA 58-6062-6
                Award ID: NACA 58-6062-6
                Award ID: NACA 58-6062-6
                Award ID: NACA 58-6062-6
                Award ID: NACA 58-6062-6
                Award Recipient :
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