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A deficient CP24 allele defines variation for dynamic non-photochemical quenching and photosystem II efficiency in maize.

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Peer-reviewed

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Abstract

Maize (Zea mays L.) is a global crop species in which CO2 assimilation occurs via the C4 pathway. C4 photosynthesis is typically more efficient than C3 photosynthesis under warm and dry conditions; however, despite this inherent advantage, considerable variation remains in photosynthetic efficiency for C4 species that could be leveraged to benefit crop performance. Here, we investigate the genetic architecture of NPQ and photosystem II (PSII) efficiency using a combination of high-throughput phenotyping and quantitative trait loci (QTL) mapping in a field-grown Multi-parent Advanced Generation Inter-Cross (MAGIC) mapping population. QTL mapping was followed by identification of putative candidate genes using a combination of genomics, transcriptomics, protein biochemistry, and targeted physiological phenotyping. We identified four genes with a putative causal role in the observed QTL effects. The highest confidence causal gene was found for a large effect QTL for photosynthetic efficiency on chromosome 10, which was underpinned by allelic variation in the expression of the minor PSII antenna protein light harvesting complex photosystem II subunit (LHCB6 or CP24), mainly driven by poor expression associated with the haplotype of the F7 founder line. The historical role of this line in breeding for early flowering time may suggest that the presence of this deficient allele could be enriched in temperate maize germplasm. These findings advance our understanding of the genetic basis of NPQ and PSII efficiency in C4 plants and highlight the potential for breeding strategies aimed at optimizing photosynthetic efficiency in maize.

Description

Journal Title

Plant Cell

Conference Name

Journal ISSN

1040-4651
1532-298X

Volume Title

Publisher

Oxford University Press (OUP)

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Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (862201)
This work was supported by the European Union’s Horizon2020 research and innovation programme (No.862201) project CAPITALISE.