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Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping

The intercropping practice has been regarded as a practical land-use selection to improve the management benefits of Bletilla striata plantations. The reports about the variety of economic and functional traits of Bletilla pseudobulb under intercropping systems were limited. The present study invest...

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Autores principales: Deng, Pengfei, Yin, Ruoyong, Wang, Huiling, Chen, Leiru, Cao, Xiaoqing, Xu, Xiaoniu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064063/
https://www.ncbi.nlm.nih.gov/pubmed/37008465
http://dx.doi.org/10.3389/fpls.2023.1147076
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author Deng, Pengfei
Yin, Ruoyong
Wang, Huiling
Chen, Leiru
Cao, Xiaoqing
Xu, Xiaoniu
author_facet Deng, Pengfei
Yin, Ruoyong
Wang, Huiling
Chen, Leiru
Cao, Xiaoqing
Xu, Xiaoniu
author_sort Deng, Pengfei
collection PubMed
description The intercropping practice has been regarded as a practical land-use selection to improve the management benefits of Bletilla striata plantations. The reports about the variety of economic and functional traits of Bletilla pseudobulb under intercropping systems were limited. The present study investigated the variation of economic and functional traits of Bletilla pseudobulb under different intercropping systems (the deep-rooted intercropping system: B. striata - Cyclocarya paliurus, CB; and the shallow-rooted intercropping system: B. striata - Phyllostachys edulis, PB). The functional traits were analyzed through non-targeted metabolomics based on GC-MS. The results indicated that the PB intercropping system significantly decreased the yield of Bletilla pseudobulb while significantly increasing the total phenol and flavonoids compared with the control (CK). However, there were no significant differences in all economic traits between CB and CK. The functional traits among CB, PB, and CK were separated and exhibited significant differences. Under different intercropping systems, B. striata may adopt different functional strategies in response to interspecific competition. The functional node metabolites (D-galactose, cellobiose, raffinose, D-fructose, maltose, and D-ribose) were up-regulated in CB, while the functional node metabolites (L-valine, L-leucine, L-isoleucine, methionine, L-lysine, serine, D-glucose, cellobiose, trehalose, maltose, D-ribose, palatinose, raffinose, xylobiose, L-rhamnose, melezitose, and maltotriose) were up-regulated in PB. The correlation between economic and functional traits depends on the degree of environmental stress. Artificial neural network models (ANNs) accurately predicted the variation in economic traits via the combination of functional node metabolites in PB. The correlation analysis of environmental factors indicated that Ns (including TN, NH(4) (+)-, and NO(3) (-)-), SRI (solar radiation intensity), and SOC were the main factors that affected the economic traits (yield, total phenol, and total flavonoids). TN, SRI, and SOC were the main factors affecting the functional traits of the Bletilla pseudobulb. These findings strengthen our understanding of the variation of economic and functional traits of Bletilla pseudobulb under intercropping and clarify the main limiting environmental factors under B. striata intercropping systems.
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spelling pubmed-100640632023-04-01 Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping Deng, Pengfei Yin, Ruoyong Wang, Huiling Chen, Leiru Cao, Xiaoqing Xu, Xiaoniu Front Plant Sci Plant Science The intercropping practice has been regarded as a practical land-use selection to improve the management benefits of Bletilla striata plantations. The reports about the variety of economic and functional traits of Bletilla pseudobulb under intercropping systems were limited. The present study investigated the variation of economic and functional traits of Bletilla pseudobulb under different intercropping systems (the deep-rooted intercropping system: B. striata - Cyclocarya paliurus, CB; and the shallow-rooted intercropping system: B. striata - Phyllostachys edulis, PB). The functional traits were analyzed through non-targeted metabolomics based on GC-MS. The results indicated that the PB intercropping system significantly decreased the yield of Bletilla pseudobulb while significantly increasing the total phenol and flavonoids compared with the control (CK). However, there were no significant differences in all economic traits between CB and CK. The functional traits among CB, PB, and CK were separated and exhibited significant differences. Under different intercropping systems, B. striata may adopt different functional strategies in response to interspecific competition. The functional node metabolites (D-galactose, cellobiose, raffinose, D-fructose, maltose, and D-ribose) were up-regulated in CB, while the functional node metabolites (L-valine, L-leucine, L-isoleucine, methionine, L-lysine, serine, D-glucose, cellobiose, trehalose, maltose, D-ribose, palatinose, raffinose, xylobiose, L-rhamnose, melezitose, and maltotriose) were up-regulated in PB. The correlation between economic and functional traits depends on the degree of environmental stress. Artificial neural network models (ANNs) accurately predicted the variation in economic traits via the combination of functional node metabolites in PB. The correlation analysis of environmental factors indicated that Ns (including TN, NH(4) (+)-, and NO(3) (-)-), SRI (solar radiation intensity), and SOC were the main factors that affected the economic traits (yield, total phenol, and total flavonoids). TN, SRI, and SOC were the main factors affecting the functional traits of the Bletilla pseudobulb. These findings strengthen our understanding of the variation of economic and functional traits of Bletilla pseudobulb under intercropping and clarify the main limiting environmental factors under B. striata intercropping systems. Frontiers Media S.A. 2023-03-17 /pmc/articles/PMC10064063/ /pubmed/37008465 http://dx.doi.org/10.3389/fpls.2023.1147076 Text en Copyright © 2023 Deng, Yin, Wang, Chen, Cao and Xu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Deng, Pengfei
Yin, Ruoyong
Wang, Huiling
Chen, Leiru
Cao, Xiaoqing
Xu, Xiaoniu
Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping
title Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping
title_full Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping
title_fullStr Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping
title_full_unstemmed Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping
title_short Comparative analyses of functional traits based on metabolome and economic traits variation of Bletilla striata: Contribution of intercropping
title_sort comparative analyses of functional traits based on metabolome and economic traits variation of bletilla striata: contribution of intercropping
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064063/
https://www.ncbi.nlm.nih.gov/pubmed/37008465
http://dx.doi.org/10.3389/fpls.2023.1147076
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