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Lepidopteran silks number in the thousands and display a vast diversity of structures, properties and industrial potential. To map this remarkable biochemical diversity, we present an identification and screening method based on the infrared spectra of native silk feedstock and cocoons. Multivariate analysis of over 1214 infrared spectra obtained from 35 species allowed us to group silks into distinct hierarchies and a classification that agrees well with current phylogenetic data and taxonomies. This approach also provides information on the relative content of sericin, calcium oxalate, phenolic compounds, poly-alanine and poly(alanine-glycine) β-sheets. It emerged that the domesticated mulberry silkmoth Bombyx mori represents an outlier compared with other silkmoth taxa in terms of spectral properties. Interestingly, Epiphora bauhiniae was found to contain the highest amount of β-sheets reported to date for any wild silkmoth. We conclude that our approach provides a new route to determine cocoon chemical composition and in turn a novel, biological as well as material, classification of silks.

Original publication

DOI

10.1242/jeb.128306

Type

Journal article

Journal

J Exp Biol

Publication Date

10/2015

Volume

218

Pages

3138 - 3149

Keywords

Cocoon, Lepidopteran, Multivariate analysis, Phylogenetic, Silkworm, Animals, Arachnida, Bombyx, Calcium Oxalate, Moths, Peptides, Phenols, Phylogeny, Sericins, Silk, Spectrophotometry, Infrared