Abstract

Maize (Zea mays L.) is usually planted at high density, so most of its leaves grow in low light. Certain morphological and physiological traits improve leaf photosynthetic capacity under low light, but how light absorption, transmission, and transport respond at the proteomic level remains unclear. Here, we used tandem mass tag (TMT) quantitative proteomics to investigate maize photosynthesis-related proteins under low light due to dense planting, finding increased levels of proteins related to photosystem II (PSII), PSI, and cytochrome b6f. These increases likely promote intersystem electron transport and increased PSI end electron acceptor abundance. OJIP transient curves revealed increases in some fluorescence parameters under low light: quantum yield for electron transport (φEo), probability that an electron moves beyond the primary acceptor QA− (ψo), efficiency/probability of electron transfer from intersystem electron carriers to reduction end electron acceptors at the PSI acceptor side (δRo), quantum yield for reduction of end electron acceptors at the PSI acceptor side (φRo), and overall performance up to the PSI end electron acceptors (PItotal). Thus, densely planted maize shows elevated light utilization through increased electron transport efficiency, which promotes coordination between PSII and PSI, as reflected by higher apparent quantum efficiency (AQE), lower light compensation point (LCP), and lower dark respiration rate (Rd).

Highlights

  • In this study, we used an integrated approach, including physiological analysis low-light stress induced by high planting density, especially proteins related to light reand a tandem mass tag (TMT) quantitative proteomics analysis, to explore changes in the actions

  • We found that the efficiency/probability with which an electron from the intersystem electron carriers was transferred to RE increased in the order low density (LD) < high density (HD) < normal density (ND) within each growth stage (Figure 5), suggesting that the electron transport chain between photosystem II (PSII) and PSI was improved by dense planting

  • Of the proteins related to light-dependent photosynthesis, we identified 33 significantly differentially abundant proteins (DAPs) among the nine experimental groups (Figure 8B), including eight proteins related to the light-harvesting chlorophyll complex (LHC), nine proteins related to PSII, seven proteins related to cytochrome b6 f (Cytb6 f ), six proteins related to PSI, and three proteins related to ATPase

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Low-light conditions result in morphological and physiological changes in plants, including thinner leaves, lower leaf chlorophyll contents, lower nitrogen contents, lower photosynthetic system activities, and lower enzyme activities [2–6] These changes severely restrict leaf photosynthetic capacity and crop production. Previous researchers have examined differences in the photosynthetic performance of maize in the North China Plain under shading or dense planting conditions at the physiological and proteomics levels, these studies regarded. Quantitative proteomics levels, these studies mostly regarded and PSIImass as a tag whole, ignoring the effects of different photosystems on photochemical reactionsofand photosynthetic analysis, to explore changes in the abundance proteins related to performance photosynthesis under. In this study, we used an integrated approach, including physiological analysis low-light stress induced by high planting density, especially proteins related to light reand a tandem mass tag (TMT) quantitative proteomics analysis, to explore changes in the actions. Abundance of proteins related to photosynthesis under low-light stress induced by high planting density, especially proteins related to light reactions

Results
TMT-Based Quantitative Proteomics Analysis in Maize Leaves
Gene Ontology (GO) Classification of DAPs
Heatmaps
Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Analysis of DAPs
Abundance of Proteins in the Photosynthetic Apparatus
Discussion
Low-Light Stress Induced by Dense Planting Affects Leaf Physiology and Photosynthetic
Low-Light Stress Induced by Dense Planting Affects Photosynthetic System Performance
Low-Light Stress Induced by Dense Planting Affects Leaf Proteomics
Experimental Design and Field Management
Leaf Mass per Area (LMA), Leaf Chlorophyll Content (Chl (a + b)), and Leaf N Content
Gas Exchange Parameter Measurement
Chlorophyll a Fluorescence Induction Transient Analysis and 820-nm Reflection Curves of Leaves
TMT-Based Quantitative Proteomics Analysis
Statistical Analysis
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