Near-infrared spectroscopy: a promising data source for evolutionary and systematic studies in plants

Autores/as

  • Thaís Elias Almeida Centro de Biociências, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil
  • Marise H.V. Oliveira Instituto Nacional de Pesquisas da Amazônia. Petrópolis, Manaus, Amazonas, Brasil
  • Niksoney A.  Mendonça Centro de Biociências, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil
  • D. Victor Souza e Silva Centro de Biociências, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil
  • Júlia Zanatta Alves Centro de Biociências, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil
  • Keven dos Santos Lima Centro de Biociências, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil
  • Carolina  do Valle Monteiro Sousa Centro de Biociências, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil

Palabras clave:

ferns, FT-NIR spectroscopy, predictive models

Resumen

Fourier Transform Near-Infrared Spectroscopy (FT-NIR) is a precise, efficient, and valuable technique for evolutionary and systematics studies. It involves exposing fragments of biological material (e.g., dry leaves) to electromagnetic radiation in the infrared range. Each sample's absorbance or reflectance spectrum represents a chemometric model derived from its C - H, C - N, and C - O bonds, reflecting its chemical and physical structure. It is a rapid, economical, and non-destructive analytical approach that provides better reproducibility without emissions or waste. FT-NIR spectra generate complex spectral signatures that can be utilized in many developmental, physiological, evolutionary, and systematic studies. Numerous studies have demonstrated that FT-NIR is accurate in identifying and describing botanical samples, with the majority of research focusing primarily on seed plants. Here, we present results showing the accuracy of FT-NIR datasets in recognizing species hypotheses from all lineages of spore-bearing vascular plants, including lycophytes and several lineages of ferns (Hymenophyllales, Gleicheniales, Schizaeales, Cyatheales, and Polypodiales). Additionally, we test whether FT-NIR data capture the underlying variation in groups with high morphological disparity or stasis and its potential as a tool for identifying cryptic species. Lastly, we investigate whether environmental occupation correlates with spectral variation in lineages.

Citation: Almeida, T.E., Oliveira, M.H.V. Mendonça, Souza e Silva, D.V., Zanatta Alves, J., dos Santos Lima, K. & do Valle Monteiro Souza, C. 2025. Near-infrared spectroscopy: a promising data source for evolutionary and systematic studies in plants. Revista Jard. Bot. Nac. Univ. Habana 46(Número especial 1): 67.  

Trabajo presentado en el XIII Congreso Latinoamericano de Botánica. Sesión Sistemática, Filogenia, Biogeografía y Evolución.

Descargas

Los datos de descargas todavía no están disponibles.

Publicado

05-11-2025

Cómo citar

Elias Almeida, T., Oliveira, M. H.,  Mendonça, N. A., Souza e Silva, D. V., Zanatta Alves, J., dos Santos Lima, K., &  do Valle Monteiro Sousa, C. (2025). Near-infrared spectroscopy: a promising data source for evolutionary and systematic studies in plants. Revista Del Jardín Botánico Nacional, 46(Número especial 1), 67. Recuperado a partir de https://revistas.uh.cu/rjbn/article/view/12044

Número

Sección

Sesión: Sistemática, Filogenia, Biogeografía y Evolución

Artículos similares

1 2 3 4 > >> 

También puede Iniciar una búsqueda de similitud avanzada para este artículo.