Abstract
Identification of specific genotypes can be accomplished by visual recognition of their distinct phenotypical appearance, as well as DNA analysis. Visual identification (ID) of species is subjective and usually requires substantial taxonomic expertise. Genotyping and sequencing are destructive, time- and labor-consuming. In this study, we investigate the potential use of Raman spectroscopy (RS) as a label-free, non-invasive and non-destructive analytical technique for the fast and accurate identification of peanut genotypes. We show that chemometric analysis of peanut leaflet spectra provides accurate identification of different varieties. This same analysis can be used for prediction of nematode resistance and oleic-linoleic oil (O/L) ratio. Raman-based analysis of seeds provides accurate genotype identification in 95% of samples. Additionally, we present data on the identification of carbohydrates, proteins, fiber and other nutrients obtained from spectroscopic signatures of peanut seeds. These results demonstrate that RS allows for fast, accurate and non-invasive screening and selection of plants which can be used for precision breeding.
Highlights
Identification of specific genotypes can be accomplished by visual recognition of their distinct phenotypical appearance, as well as DNA analysis
Raman spectra collected from the 10 different genotypes of peanuts (Fig. 1) exhibited similar profiles with vibrational bands at 480, 917 cm−1, which can be assigned to carbohydrates, 520 and 1048 and 1115 cm−1 to cellulose, 747 and 853 cm−1 to pectin, 1000, 1155 and 1526 cm−1 to carotenoids, 1185, 1606 and 1632 cm−1 to phenylpropanoids, 1660 cm−1 to proteins and cm−1 to carboxylic acids
Our results demonstrate that Raman spectroscopy (RS) can be used for accurate identification of peanuts based on spectroscopic signatures of their leaves and seeds
Summary
Identification of specific genotypes can be accomplished by visual recognition of their distinct phenotypical appearance, as well as DNA analysis. We investigate the potential use of Raman spectroscopy (RS) as a label-free, non-invasive and non-destructive analytical technique for the fast and accurate identification of peanut genotypes. We show that chemometric analysis of peanut leaflet spectra provides accurate identification of different varieties. Raman-based analysis of seeds provides accurate genotype identification in 95% of samples. We present data on the identification of carbohydrates, proteins, fiber and other nutrients obtained from spectroscopic signatures of peanut seeds. These results demonstrate that RS allows for fast, accurate and non-invasive screening and selection of plants which can be used for precision breeding.
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