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利用高光谱成像技术表征植物对昆虫取食的相互交流。

Hyperspectral imaging to characterize plant-plant communication in response to insect herbivory.

作者信息

do Prado Ribeiro Leandro, Klock Adriana Lídia Santana, Filho João Américo Wordell, Tramontin Marco Aurélio, Trapp Marília Almeida, Mithöfer Axel, Nansen Christian

机构信息

Research Center for Family Agriculture, Research and Rural, Extension Company of Santa Catarina, Chapecó, Santa Catarina Brazil.

Federal University of Fronteira Sul, Chapecó, Santa Catarina Brazil.

出版信息

Plant Methods. 2018 Jul 6;14:54. doi: 10.1186/s13007-018-0322-7. eCollection 2018.

DOI:10.1186/s13007-018-0322-7
PMID:29988987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6034322/
Abstract

BACKGROUND

In studies of plant stress signaling, a major challenge is the lack of non-invasive methods to detect physiological plant responses and to characterize plant-plant communication over time and space.

RESULTS

We acquired time series of phytocompound and hyperspectral imaging data from maize plants from the following treatments: (1) individual non-infested plants, (2) individual plants experimentally subjected to herbivory by green belly stink bug (no visible symptoms of insect herbivory), (3) one plant subjected to insect herbivory and one control plant in a separate pot but inside the same cage, and (4) one plant subjected to insect herbivory and one control plant together in the same pot. Individual phytocompounds (except indole-3acetic acid) or spectral bands were not reliable indicators of neither insect herbivory nor plant-plant communication. However, using a linear discrimination classification method based on combinations of either phytocompounds or spectral bands, we found clear evidence of maize plant responses.

CONCLUSIONS

We have provided initial evidence of how hyperspectral imaging may be considered a powerful non-invasive method to increase our current understanding of both direct plant responses to biotic stressors but also to the multiple ways plant communities are able to communicate. We are unaware of any published studies, in which comprehensive phytocompound data have been shown to correlate with leaf reflectance. In addition, we are unaware of published studies, in which plant-plant communication was studied based on leaf reflectance.

摘要

背景

在植物应激信号研究中,一个主要挑战是缺乏非侵入性方法来检测植物的生理反应,并描述植物间在时间和空间上的交流。

结果

我们从以下处理的玉米植株中获取了植物化合物和高光谱成像数据的时间序列:(1)单独的未受侵害植株;(2)通过绿腹蝽实验性地遭受食草作用的单独植株(无昆虫食草的可见症状);(3)一株遭受昆虫食草作用的植株和一株单独种植在另一个花盆但在同一笼子内的对照植株;以及(4)一株遭受昆虫食草作用的植株和一株对照植株种植在同一花盆中。单独的植物化合物(除吲哚 - 3 - 乙酸外)或光谱带既不是昆虫食草作用的可靠指标,也不是植物间交流的可靠指标。然而,使用基于植物化合物或光谱带组合的线性判别分类方法,我们发现了玉米植株反应的明确证据。

结论

我们提供了初步证据,表明高光谱成像可被视为一种强大的非侵入性方法,既能增进我们目前对植物对生物应激源的直接反应的理解,也能增进对植物群落多种交流方式的理解。我们不知道有任何已发表的研究表明综合的植物化合物数据与叶片反射率相关。此外,我们也不知道有已发表的研究基于叶片反射率来研究植物间的交流。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/1769b970c551/13007_2018_322_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/3089f137b3a2/13007_2018_322_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/2cce7aa4507e/13007_2018_322_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/41c8129b830a/13007_2018_322_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/1769b970c551/13007_2018_322_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/3089f137b3a2/13007_2018_322_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/2cce7aa4507e/13007_2018_322_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/41c8129b830a/13007_2018_322_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cace/6034322/1769b970c551/13007_2018_322_Fig4_HTML.jpg

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