Divide and conquer! Data-mining tools and sequential multivariate analysis to search for diagnostic morphological characters within a plant polyploid complex (Veronica subsect. Pentasepalae, Plantaginaceae)
نویسندگان
چکیده
منابع مشابه
Characterization of 12 polymorphic SSR markers in Veronica subsect. Pentasepalae (Plantaginaceae) and cross-amplification in 10 other subgenera1
PREMISE OF THE STUDY Microsatellite primers were developed in the perennial herbs of the diploid-polyploid complex Veronica subsect. Pentasepalae (Plantaginaceae) to investigate the role that hybridization has played in the evolution of the group, which includes several endangered species. METHODS AND RESULTS Twelve pairs of primers leading to polymorphic and readable markers were identified ...
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PREMISE OF THE STUDY Polyploidy may generate novel variation, leading to adaptation and species diversification. An excellent natural system to study polyploid evolution in a comparative framework is Veronica (Plantaginaceae), which comprises several parallel, recently evolved polyploid series. METHODS Over 105 million Illumina paired-end sequence reads were generated from cDNA libraries of l...
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Data visualization techniques have become important tools for analyzing large multidimensional data sets and providing insights with respect to scientific, economic, and engineering applications. Typically, these visualization applications are modeled and solved using nonlinear optimization techniques. In this paper, we propose a discretization of the data visualization problem that allows us t...
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Perennials and annuals apply different strategies to adapt to the adverse environment, based on 'tolerance' and 'avoidance', respectively. To understand lifespan evolution and its impact on plant adaptability, we carried out a comparative study of perennials and annuals in the genus Veronica from a phylogenetic perspective. The results showed that ancestors of the genus Veronicawere likely to b...
متن کاملDivide and Conquer Parallel and Sequential Data Structures
Let’s look at an example. For s = 〈1,−5, 2,−1, 3〉, we know that 〈1〉, 〈2,−1, 3〉, and 〈−5, 2〉 are all contiguous subsequences of s—whereas 〈1, 2, 3〉 is not. Among such subsequences, we’re interested in finding one that maximizes the sum. In this particular example, we can check that mcss(s) = 4, achieved by taking the subsequence 〈2,−1, 3〉. We have to be careful about what our MCSS problem return...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2018
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0199818