Evidence map›Paper›PMID 27313588›Full record

ArticleFrontiers in plant science2016

Comparative Proteomic Analysis of the Response of Maize (Zea mays L.) Leaves to Long Photoperiod Condition.

Liuji Wu, Lei Tian, Shunxi Wang, Jun Zhang, Ping Liu, Zhiqiang Tian, Huimin Zhang, Haiping Liu, Yanhui Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Liuji WuHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Lei TianHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Shunxi WangHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Jun ZhangFood Crops Research Institute, Henan Academy of Agricultural Science Zhengzhou, China.
Ping LiuHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Zhiqiang TianHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Huimin ZhangHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Haiping LiuDepartment of Biological Science, Michigan Technological University Michigan, MI, USA.
Yanhui ChenHenan Agricultural University and Synergetic Innovation Center of Henan Grain CropsZhengzhou, China; Key Laboratory of Physiological Ecology and Genetic Improvement of Food Crops in Henan ProvinceZhengzhou, China.
Henan Academy of Agricultural Sciences · CNHenan Agricultural University · CNMichigan Technological University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize (Zea mays L.), an important industrial material and food source, shows an astonishing environmental adaptation. A remarkable feature of its post-domestication adaptation from tropical to temperate environments is adaptation to a long photoperiod (LP). Many photoperiod-related genes have been identified in previous transcriptomics analysis, but proteomics shows less evidence for this mechanism of photoperiod response. In this study, we sampled newly expanded leaves of maize at the three- and six-leaf stages from an LP-sensitive introgression line H496, the donor CML288, LP-insensitive inbred line, and recurrent parent Huangzao4 (HZ4) grown under long days (15 h light and 9 h dark). To characterize the proteomic changes in response to LP, the iTRAQ-labeling method was used to determine the proteome profiles of plants exposed to LP. A total of 943 proteins differentially expressed at the three- and six-leaf stages in HZ4 and H496 were identified. Functional analysis was performed by which the proteins were classified into stress defense, signal transduction, carbohydrate metabolism, protein metabolism, energy production, and transport functional groups using the WEGO online tool. The enriched gene ontology categories among the identified proteins were identified statistically with the Cytoscape plugin ClueGO + Cluepedia. Twenty Gene Ontology terms showed the highest significance, including those associated with protein processing in the endoplasmic reticulum, splicesome, ribosome, glyoxylate, dicarboxylate metabolism, L-malate dehydrogenase activity, and RNA transport. In addition, for subcellular location, all proteins showed significant enrichment of the mitochondrial outer membrane. The sugars producted by photosynthesis in plants are also a pivotal metabolic output in the circadian regulation. The results permit the prediction of several crucial proteins to photoperiod response and provide a foundation for further study of the influence of LP treatments on the circadian response in short-day plants.

Indexed as

circadiancytoscapeintrogression lineiTRAQlong photoperiodmaize leavesproteomic analysis

Identifiers

PMID27313588
PMCPMC4889979
OpenAlexW2462269111

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Registered trials

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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.