Evidence map›Paper›PMID 35235648›Full record

ArticleJournal of experimental botany2022

Genetics as a key to improving crop photosynthesis.

Tom P J M Theeuwen, Louise L Logie, Jeremy Harbinson, Mark G M Aarts

Open access · hybridAbstract read
In one paragraph

Article in Journal of experimental botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 67 citations in OpenAlex.

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  17. Species-wide inventory ofProceedings of the National Academy of Sciences of the United States of America · 2024
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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

4 authors at 1 institution in 1 country.

Tom P J M TheeuwenLaboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0003-3584-3609
Louise L LogieLaboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0003-0454-2504
Jeremy HarbinsonBiophysics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0002-0607-4508
Mark G M AartsLaboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0001-5257-0740
Wageningen University & Research · NL

Funding

CAPITALISE 862201EU-Horizon2020 Research Innovation Program 817690Netherlands Organization for Scientific Research ALWGS.2016.012
6 · The paper itself

Abstract

Since the basic biochemical mechanisms of photosynthesis are remarkably conserved among plant species, genetic modification approaches have so far been the main route to improve the photosynthetic performance of crops. Yet, phenotypic variation observed in wild species and between varieties of crop species implies there is standing natural genetic variation for photosynthesis, offering a largely unexplored resource to use for breeding crops with improved photosynthesis and higher yields. The reason this has not yet been explored is that the variation probably involves thousands of genes, each contributing only a little to photosynthesis, making them hard to identify without proper phenotyping and genetic tools. This is changing, though, and increasingly studies report on quantitative trait loci for photosynthetic phenotypes. So far, hardly any of these quantitative trait loci have been used in marker assisted breeding or genomic selection approaches to improve crop photosynthesis and yield, and hardly ever have the underlying causal genes been identified. We propose to take the genetics of photosynthesis to a higher level, and identify the genes and alleles nature has used for millions of years to tune photosynthesis to be in line with local environmental conditions. We will need to determine the physiological function of the genes and alleles, and design novel strategies to use this knowledge to improve crop photosynthesis through conventional plant breeding, based on readily available crop plant germplasm. In this work, we present and discuss the genetic methods needed to reveal natural genetic variation, and elaborate on how to apply this to improve crop photosynthesis.

Indexed as

Plant BreedingQuantitative Trait LociCrops, AgriculturalPhenotypePhotosynthesisBi- and multiparental populationsdiversity panelsgene validationgenome wide association studies (GWAS)improving photosynthesisnatural genetic variationquantitative trait locus (QTL) mapping

Identifiers

PMID35235648
PMCPMC9126732
OpenAlexW4213439192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.