Peer Community Journal 2021
DOI: 10.24072/pcjournal.51
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The quasi-universality of nestedness in the structure of quantitative plant-parasite interactions

Abstract: Understanding the relationships between host range and pathogenicity for parasites, and between the efficiency and scope of immunity for hosts are essential to implement efficient disease control strategies. In the case of plant parasites, most studies have focused on describing qualitative interactions and a variety of genetic and evolutionary models has been proposed in this context. Although plant quantitative resistance benefits from advantages in terms of durability, we presently lack models that account … Show more

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Cited by 7 publications
(14 citation statements)
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References 85 publications
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“…Hierarchical clustering by columns and lines (Figure 4b) showed a lack of structure in the matrix, either according to rice landraces, or to genetic lineages of P. oryzae isolates themselves. We further analysed nestedness and modularity within the matrix following Moury et al (2021). The WINE estimate of nestedness was 0.55 and was significant ( p = 0 and .01 after 100 random simulations with null models R1 and R2, respectively).…”
Section: Resultsmentioning
confidence: 99%
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“…Hierarchical clustering by columns and lines (Figure 4b) showed a lack of structure in the matrix, either according to rice landraces, or to genetic lineages of P. oryzae isolates themselves. We further analysed nestedness and modularity within the matrix following Moury et al (2021). The WINE estimate of nestedness was 0.55 and was significant ( p = 0 and .01 after 100 random simulations with null models R1 and R2, respectively).…”
Section: Resultsmentioning
confidence: 99%
“…We analysed nestedness and modularity of the quantitative interaction matrix following Moury et al (2021). Nestedness and modularity are quantitative properties of matrices that reveal nonrandom distribution of links between rows and columns.…”
Section: Methodsmentioning
confidence: 99%
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“…Previous to these analyses, AUDPS data were binned into ten intervals of equal size with bounds \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$$ \Big[AU\!DP{S_{min}} & + {i \over {10}}\left( {AU\!DP{S_{max}} - AU\!DP{S_{min}}} \right),\!AU\!DP{S_{min}} \\ &+ {{\left( {i + 1} \right)} \over {10}}\left( {AU\!DP{S_{max}} - AU\!DP{S_{min}}} \right) \Big]$$\end{document} where i ∈ [0, 9], as described in Moury et al. (2021) .…”
Section: Methodsmentioning
confidence: 99%