Evidence map›Paper›PMID 29686693›Full record

ArticleFrontiers in plant science2018

Non-destructive Determination of Shikimic Acid Concentration in Transgenic Maize Exhibiting Glyphosate Tolerance Using Chlorophyll Fluorescence and Hyperspectral Imaging.

Xuping Feng, Chenliang Yu, Yue Chen, Jiyun Peng, Lanhan Ye, Tingting Shen, Haiyong Wen, Yong He

Abstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  13. The Phosphoproteomic Response of Okra (International journal of molecular sciences · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xuping FengCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Chenliang YuVegetable Research Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Yue ChenInstitute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jiyun PengCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Lanhan YeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Tingting ShenCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Haiyong WenCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Yong HeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.

Funding

DNA SAMPLE ANALYSIS27307C2007 · NIEHS · PI LEHMAN, TERESA · 2007 to 2007
$74k
NIEHS NIH HHS 27307C2007
6 · The paper itself

Abstract

The development of transgenic glyphosate-tolerant crops has revolutionized weed control in crops in many regions of the world. The early, non-destructive identification of superior plant phenotypes is an important stage in plant breeding programs. Here, glyphosate-tolerant transgenic maize and its parental wild-type control were studied at 2, 4, 6, and 8 days after glyphosate treatment. Visible and near-infrared hyperspectral imaging and chlorophyll fluorescence imaging techniques were applied to monitor the performance of plants. In our research, transgenic maize, which was highly tolerant to glyphosate, was phenotyped using these high-throughput non-destructive methods to validate low levels of shikimic acid accumulation and high photochemical efficiency of photosystem II as reflected by maximum quantum yield and non-photochemical quenching in response to glyphosate. For hyperspectral imaging analysis, the combination of spectroscopy and chemometric methods was used to predict shikimic acid concentration. Our results indicated that a partial least-squares regression model, built on optimal wavelengths, effectively predicted shikimic acid concentrations, with a coefficient of determination value of 0.79 for the calibration set, and 0.82 for the prediction set. Moreover, shikimic acid concentration estimates from hyperspectral images were visualized on the prediction maps by spectral features, which could help in developing a simple multispectral imaging instrument for non-destructive phenotyping. Specific physiological effects of glyphosate affected the photochemical processes of maize, which induced substantial changes in chlorophyll fluorescence characteristics. A new data-driven method, combining mean fluorescence parameters and featuring a screening approach, provided a satisfactory relationship between fluorescence parameters and shikimic acid content. The glyphosate-tolerant transgenic plants can be identified with the developed discrimination model established on important wavelengths or sensitive fluorescence parameters 6 days after glyphosate treatment. The overall results indicated that both hyperspectral imaging and chlorophyll fluorescence imaging techniques could provide useful tools for stress phenotyping in maize breeding programs and could enable the detection and evaluation of superior genotypes, such as glyphosate tolerance, with a non-destructive high-throughput technique.

Indexed as

chemometric analysischlorophyll fluorescence imaginghyperspectral imagingplant breedingtransgenic maize

Identifiers

PMID29686693
PMCPMC5900420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.