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      Which factors contribute most to genome size variation within angiosperms?

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          Abstract

          Genome size varies greatly across the flowering plants and has played an important role in shaping their evolution. It has been reported that many factors correlate with the variation in genome size, but few studies have systematically explored this at the genomic level. Here, we scan genomic information for 74 species from 74 families in 38 orders covering the major groups of angiosperms (the taxonomic information was acquired from the latest Angiosperm Phylogeny Group (APG IV) system) to evaluate the correlation between genome size variation and different genome characteristics: polyploidization, different types of repeat sequence content, and the dynamics of long terminal repeat retrotransposons (LTRs). Surprisingly, we found that polyploidization shows no significant correlation with genome size, while LTR content demonstrates a significantly positive correlation. This may be due to genome instability after polyploidization, and since LTRs occupy most of the genome content, it may directly result in most of the genome variation. We found that the LTR insertion time is significantly negatively correlated with genome size, which may reflect the competition between insertion and deletion of LTRs in each genome, and that the old insertions are usually easy to recognize and eliminate. We also noticed that most of the LTR burst occurred within the last 3 million years, a timeframe consistent with the violent climate fluctuations in the Pleistocene. Our findings enhance our understanding of genome size evolution within angiosperms, and our methods offer immediate implications for corresponding research in other datasets.

          Abstract

          Genome size is a biodiversity trait that shows staggering diversity across the flowering plants, which plays an important role in shaping the evolution of plants. Here, we scan the genomic information of 54 species from 52 families covering the major groups of angiosperms and evaluate the correlation between variations of genome sizes and different genome characters. We surprisingly find only LTRs significantly positively correlate with genome size variation, while polyploidization does not, and genome size acts as an evolutionary character that helps each species adapt to different environments with different patterns (different types of TEs burst or polyploidization).

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          Most cited references67

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          MUSCLE: multiple sequence alignment with high accuracy and high throughput.

          We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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            Clustal W and Clustal X version 2.0.

            The Clustal W and Clustal X multiple sequence alignment programs have been completely rewritten in C++. This will facilitate the further development of the alignment algorithms in the future and has allowed proper porting of the programs to the latest versions of Linux, Macintosh and Windows operating systems. The programs can be run on-line from the EBI web server: http://www.ebi.ac.uk/tools/clustalw2. The source code and executables for Windows, Linux and Macintosh computers are available from the EBI ftp site ftp://ftp.ebi.ac.uk/pub/software/clustalw2/
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              Tandem repeats finder: a program to analyze DNA sequences.

              G. Benson (1999)
              A tandem repeat in DNA is two or more contiguous, approximate copies of a pattern of nucleotides. Tandem repeats have been shown to cause human disease, may play a variety of regulatory and evolutionary roles and are important laboratory and analytic tools. Extensive knowledge about pattern size, copy number, mutational history, etc. for tandem repeats has been limited by the inability to easily detect them in genomic sequence data. In this paper, we present a new algorithm for finding tandem repeats which works without the need to specify either the pattern or pattern size. We model tandem repeats by percent identity and frequency of indels between adjacent pattern copies and use statistically based recognition criteria. We demonstrate the algorithm's speed and its ability to detect tandem repeats that have undergone extensive mutational change by analyzing four sequences: the human frataxin gene, the human beta T cellreceptor locus sequence and two yeast chromosomes. These sequences range in size from 3 kb up to 700 kb. A World Wide Web server interface atc3.biomath.mssm.edu/trf.html has been established for automated use of the program.
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                Author and article information

                Contributors
                rengp@lzu.edu.cn
                yangyongzhi2008@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                31 January 2021
                March 2021
                : 11
                : 6 ( doiID: 10.1002/ece3.v11.6 )
                : 2660-2668
                Affiliations
                [ 1 ] State Key Laboratory of Grassland Agro‐Ecosystem Institute of Innovation Ecology & School of Life Sciences Lanzhou University Lanzhou China
                Author notes
                [*] [* ] Correspondence

                Guangpeng Ren and Yongzhi Yang, State Key Laboratory of Grassland Agro‐Ecosystem, Institute of Innovation Ecology & School of Life Sciences, Lanzhou University, Lanzhou, China.

                Emails: rengp@ 123456lzu.edu.cn (GR); yangyongzhi2008@ 123456gmail.com (YY)

                Author information
                https://orcid.org/0000-0003-2064-4287
                https://orcid.org/0000-0001-6912-6718
                Article
                ECE37222
                10.1002/ece3.7222
                7981209
                33767827
                1395900e-495b-4aca-aa7a-c9a647108b37
                © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 December 2020
                : 20 June 2020
                : 04 January 2021
                Page count
                Figures: 4, Tables: 0, Pages: 9, Words: 6510
                Funding
                Funded by: Fundamental Research Funds for the Central Universities , open-funder-registry 10.13039/501100012226;
                Award ID: lzujbky‐2019‐77
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31900201
                Award ID: 41901056
                Funded by: Second Tibetan Plateau Scientific Expedition and Research (STEP) program
                Award ID: 2019QZKK0502
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                March 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.0 mode:remove_FC converted:20.03.2021

                Evolutionary Biology
                angiosperm,genome size,long terminal repeat,polyploidization,repeat sequences
                Evolutionary Biology
                angiosperm, genome size, long terminal repeat, polyploidization, repeat sequences

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