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. 2021 Feb 15;118(8):e2005063118. doi: 10.1073/pnas.2005063118

Table 1.

Discriminant analysis of principal components for the presence of specific prey types using the morphological data

Prey type DAPC GLM for prey type presence (22 taxa) Best-fitting GLM for prey type selectivity (32) (7 taxa)
Discrimination (%) Top quartile variable contributions Sign R2 Sign R2
Copepods 95.4 Total nematocyst volume 67.8 * 97.9
Tentacle width +
Haploneme elongation +
Haploneme SA/V ratio +
Haploneme row number + +
Cnidoband length +
Cnidoband width
Cnidoband free length + +
Fish 68.1 Total haploneme volume 45.8 + 96.0
Heteroneme volume +
Total nematocyst volume +
Total heteroneme volume
Cnidoband length
Cnidoband free length + +
Involucrum length
Pedicle width + +
Large crustaceans 81.8 Involucrum length +* 73.2 + 98.7
Total heteroneme volume
Elastic strand width +*
Rhopaloneme length + +
Heteroneme volume +
Haploneme elongation +
Desmoneme length
Tentacle width + +

Top quartile variable (character) contributions to the linear discriminants are ordered from highest to lowest. Logistic regressions and GLMs were fitted to predict prey type presence and selectivity, respectively. The sign of the slope of each predictor is reported, marked with an asterisk if significant (P < 0.05), and highlighted in bold if it differs between prey presence in diet and prey selectivity. Pseudo-R2 (%) approximates the percent variance explained by the model.