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      Genome diversity and highland-adaptative variation in Tibet barley landrace population of China

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          Abstract

          Barley landraces accumulated variation in adapting to extreme highland environments during long-term domestication in Tibet, but little is known about their population structure and genomic selection traces. In this study, tGBS (tunable genotyping by sequencing) sequencing, molecular marker and phenotypic analyses were conducted on 1,308 highland and 58 inland barley landraces in China. The accessions were divided into six sub-populations and clearly distinguished most six-rowed, naked barley accessions (Qingke in Tibet) from inland barley. Genome-wide differentiation was observed in all five sub-populations of Qingke and inland barley accessions. High genetic differentiation in the pericentric regions of chromosomes 2H and 3H contributed to formation of five types of Qingke. Ten haplotypes of the pericentric regions of 2H, 3H, 6H and 7H were further identified as associated with ecological diversification of these sub-populations. There was genetic exchange between eastern and western Qingke but they shared the same progenitor. The identification of 20 inland barley types indicated multiple origins of Qingke in Tibet. The distribution of the five types of Qingke corresponded to specific environments. Two predominant highland-adaptative variations were identified for low temperature tolerance and grain color. Our results provide new insights into the origin, genome differentiation, population structure and highland adaptation in highland barley which will benefit both germplasm enhancement and breeding of naked barley.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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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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              PLINK: a tool set for whole-genome association and population-based linkage analyses.

              Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                10 May 2023
                2023
                : 14
                : 1189642
                Affiliations
                [1] 1 State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences , Lhasa, China
                [2] 2 College of Plant Science, Tibet Agricultural and Husbandry University , Linzhi, China
                [3] 3 College of Life Sciences, Zaozhuang University , Zaozhuang, China
                [4] 4 Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS) , Beijing, China
                [5] 5 Institute of Industrial Crops, Shandong Academy of Agricultural Sciences , Jinan, China
                [6] 6 Frontiers Science Center for Molecular Design Breeding, China Agricultural University , Beijing, China
                [7] 7 State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University , Nanjing, China
                [8] 8 Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences , Beijing, China
                [9] 9 Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences , Beijing, China
                [10] 10 Tibet Climate Center, Tibet Meteorological Bureau , Lhasa, China
                [11] 11 Tibet Institute of Plateau Atmospheric and Environmental Sciences, Tibet Meteorological Bureau , Lhasa, China
                [12] 12 Key Laboratory of Atmospheric Environment of Tibet Autonomous Region, Tibet Meteorological Bureau , Lhasa, China
                Author notes

                Edited by: Yi-Hong Wang, University of Louisiana at Lafayette, United States

                Reviewed by: Hemant Kumar Yadav, National Botanical Research Institute (CSIR), India; Xifeng Ren, Huazhong Agricultural University, China

                *Correspondence: Ganggang Guo, guoganggang@ 123456caas.cn ; Zengjun Qi, zjqi@ 123456njau.edu.cn ; Weilong Guo, guoweilong@ 123456cau.edu.cn

                †These authors have contributed equally to this work

                Article
                10.3389/fpls.2023.1189642
                10206316
                bd80f434-e9f3-4502-ac6d-5bc7785f8f69
                Copyright © 2023 Dondup, Yang, Xu, Namgyal, Wang, Shen, Dorji, kyi, Drolma, Gao, Ga, Sang, Ga, Mu, Zhuoma, Taba, Jiao, Liao, Tang, Zeng, Luobu, Wu, Wang, Zhang, Qi, Guo and Guo

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 19 March 2023
                : 26 April 2023
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 54, Pages: 13, Words: 6902
                Funding
                This project was supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (2019QZKK0502), Tibet Major Science and Technology Projects (XZ202101ZD0004N), the China Agriculture Research System (CARS-05) and Tibet Major Science and Technology Projects (XZ201801NA01).
                Categories
                Plant Science
                Original Research
                Custom metadata
                Functional and Applied Plant Genomics

                Plant science & Botany
                highland adaptation,naked barley,tgbs,vernalization genes,grain color
                Plant science & Botany
                highland adaptation, naked barley, tgbs, vernalization genes, grain color

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