Using proximal remote sensing in non-invasive phenotyping of invertebrates

PLoS One. 2017 May 4;12(5):e0176392. doi: 10.1371/journal.pone.0176392. eCollection 2017.

Abstract

Proximal imaging remote sensing technologies are used to phenotype and to characterize organisms based on specific external body reflectance features. These imaging technologies are gaining interest and becoming more widely used and applied in ecological, systematic, evolutionary, and physiological studies of plants and also of animals. However, important factors may impact the quality and consistency of body reflectance features and therefore the ability to use these technologies as part of non-invasive phenotyping and characterization of organisms. We acquired hyperspectral body reflectance profiles from three insect species, and we examined how preparation procedures and preservation time affected the ability to detect reflectance responses to gender, origin, and age. Different portions of the radiometric spectrum varied markedly in their sensitivity to preparation procedures and preservation time. Based on studies of three insect species, we successfully identified specific radiometric regions, in which phenotypic traits become significantly more pronounced based on either: 1) gentle cleaning of museum specimens with distilled water, or 2) killing and preserving insect specimens in 70% ethanol. Standardization of killing and preservation procedures will greatly increase the ability to use proximal imaging remote sensing technologies as part of phenotyping and also when used in ecological and evolutionary studies of invertebrates.

MeSH terms

  • Animals
  • Female
  • Insecta*
  • Male
  • Phenotype*
  • Remote Sensing Technology / methods*
  • Spectrum Analysis / methods

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant number 31570387), the National Key Research & Development (R&D) Plan of China (Synergistic technologies for biological pesticides and mechanisms of ecological control of pests), and the State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control (grant number 2010DS700124-ZM1601, 2010DS700124-ZZ1601 and 2010DS700124-KF1603).