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Record W3088750149 · doi:10.1002/pld3.264

<i>SCARECROW</i> gene function is required for photosynthetic development in maize

2020· article· en· W3088750149 on OpenAlexfundno aff
Thomas E. Hughes, Jane A. Langdale

Bibliographic record

VenuePlant Direct · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilBank of CanadaBill and Melinda Gates Foundation
KeywordsRuBisCOPhotosynthesisChloroplastBiologyBotanyPhotosynthetic capacityPhotorespirationC4 photosynthesisPyruvate carboxylasePhosphoenolpyruvate carboxylaseGeneMutantCarboxylationCell biologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Abstract C 4 photosynthesis in grasses relies on a specialized leaf anatomy. In maize, this “Kranz” leaf anatomy is patterned in part by the duplicated SCARECROW (SCR) genes ZmSCR1 and ZmSCR1h . Here we show that in addition to patterning defects, chlorophyll content and levels of transcripts encoding Golden2‐like regulators of chloroplast development are significantly lower in Zmscr1; Zmscr1h mutants than in wild‐type. These perturbations are not associated with changes in chloroplast number, size, or ultrastructure. However, the maximum rates of carboxylation by ribulose bisphosphate carboxylase/oxygenase (RuBisCO, V cmax ) and phospho enol pyruvate carboxylase (PEPC, V pmax ) are both reduced, leading to perturbed plant growth. The CO 2 compensation point and 13 C‰ of Zmscr1;Zmscr1h plants are both normal, indicating that a canonical C 4 cycle is operating, albeit at reduced overall capacity. Taken together, our results reveal that the maize SCR genes, either directly or indirectly, play a role in photosynthetic development. Significance statement SCARECROW (SCR) is one of the best studied plant developmental regulators, however, its role in downstream plant physiology is less well‐understood. Here, we have demonstrated that SCR is required to establish and/or maintain photosynthetic capacity in maize leaves.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.221
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2020
Admission routes1
Has abstractyes

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