Attenuated total reflection Fourier-transform infrared spectroscopy reveals environment specific phenotypes in clonal Japanese knotweed

被引:0
作者
Holden, Claire A. [1 ]
Mcainsh, Martin [1 ]
Taylor, Jane E. [1 ]
Beckett, Paul [2 ]
Martin, Francis L. [3 ,4 ]
机构
[1] Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England
[2] Phlorum Ltd, Brighton BN2 6AH, England
[3] Biocel Ltd, Kingston Upon Hull HU10 7TS, England
[4] Blackpool Teaching Hosp NHS Fdn Trust, Dept Cellular Pathol, Whinney Heys Rd, Blackpool FY3 8NR, England
来源
BMC PLANT BIOLOGY | 2024年 / 24卷 / 01期
关键词
Fourier-transform Infrared Spectroscopy; Introduced species; Japanese knotweed; Phenotypic plasticity; Principal component analysis; Support Vector Machine; FTIR SPECTROSCOPY; ATR-FTIR; FALLOPIA-JAPONICA; GENETIC-VARIATION; DROUGHT STRESS; LIGHT QUALITY; GAS-EXCHANGE; PLASTICITY; PLANTS; NITROGEN;
D O I
10.1186/s12870-024-05200-7
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
BackgroundJapanese knotweed (Reynoutria japonica var. japonica), a problematic invasive species, has a wide geographical distribution. We have previously shown the potential for attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and chemometrics to segregate regional differentiation between Japanese knotweed plants. However, the contribution of environment to spectral differences remains unclear. Herein, the response of Japanese knotweed to varied environmental habitats has been studied. Eight unique growth environments were created by manipulation of the red: far-red light ratio (R: FR), water availability, nitrogen, and micronutrients. Their impacts on plant growth, photosynthetic parameters, and ATR-FTIR spectral profiles, were explored using chemometric techniques, including principal component analysis (PCA), linear discriminant analysis, support vector machines (SVM) and partial least squares regression. Key wavenumbers responsible for spectral differences were identified with PCA loadings, and molecular biomarkers were assigned. Partial least squared regression (PLSR) of spectral absorbance and root water potential (RWP) data was used to create a predictive model for RWP.ResultsSpectra from plants grown in different environments were differentiated using ATR-FTIR spectroscopy coupled with SVM. Biomarkers highlighted through PCA loadings corresponded to several molecules, most commonly cell wall carbohydrates, suggesting that these wavenumbers could be consistent indicators of plant stress across species. R: FR most affected the ATR-FTIR spectra of intact dried leaf material. PLSR prediction of root water potential achieved an R2 of 0.8, supporting the potential use of ATR-FTIR spectrometers as sensors for prediction of plant physiological parameters.ConclusionsJapanese knotweed exhibits environmentally induced phenotypes, indicated by measurable differences in their ATR-FTIR spectra. This high environmental plasticity reflected by key biomolecular changes may contribute to its success as an invasive species. Light quality (R: FR) appears critical in defining the growth and spectral response to environment. Cross-species conservation of biomarkers suggest that they could function as indicators of plant-environment interactions including abiotic stress responses and plant health.
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