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Record W3196252383 · doi:10.1101/2020.04.27.062893

Evolutionary analysis of the LORELEI gene family in angiosperms reveals regulatory subfunctionalization

2020· preprint· en· W3196252383 on OpenAlexfundno aff
Jennifer A. Noble, Nicholas V. Bielski, Ming‐Che Liu, Thomas A. DeFalco, Martin Stegmann, Andrew D. L. Nelson, Kara M. McNamara, Brooke Sullivan, Khanhlinh K Dinh, Nicholas Khuu, Sarah Hancock, Shin‐Han Shiu, Cyril Zipfel, Alice Y. Cheung, Mark A. Beilstein, Ravishankar Palanivelu

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsnot available
FundersOffice of Diversity and InclusionEuropean CommissionGatsby Charitable FoundationMichigan State UniversityNatural Sciences and Engineering Research Council of CanadaU.S. Department of AgricultureNational Institute of Food and AgricultureDeutsche ForschungsgemeinschaftUniversity of AlbertaCollege of Engineering, Michigan State UniversityBrown UniversityUniversity of ArizonaEuropean Molecular Biology OrganizationNational Science Foundation
KeywordsSubfunctionalizationBiologyFunctional divergenceNeofunctionalizationGene duplicationGeneGene familyGeneticsEvolutionary biologyGene expression

Abstract

fetched live from OpenAlex

Abstract A signaling complex comprising members of the LORELEI (LRE)-LIKE GPI-anchored protein (LLG) and Catharanthus roseus RECEPTOR-LIKE KINASE 1-LIKE ( Cr RLK1L) families perceive RAPID ALKALINIZATION FACTOR (RALF) peptides and regulate growth, reproduction, immunity, and stress responses in Arabidopsis. Genes encoding these proteins are members of multi-gene families in most angiosperms and could generate thousands of signaling complex variants. However, the link(s) between expansion of these gene families and the functional diversification of this critical signaling complex as well as the evolutionary factors underlying the maintenance of gene duplicates remain unknown. Here, we investigated LLG gene family evolution, function, and expression in angiosperms. We found that LLGs in monocots and eudicots are descendants of a duplication early in angiosperm evolution and that both ancient and recent LLG duplicates are retained. Complementation and expression analysis showed that expression divergence of LLGs (regulatory subfunctionalization), rather than functional divergence, explains the retention of paralogs in Brassicales. All but one extant monocot and eudicot species examined maintained an LLG copy with preferential expression in male reproductive tissues, with the other duplicate copies showed highest levels of expression in female or vegetative tissues. Interestingly, the single LLG copy in Amborella (sister to all other angiosperms) is expressed vastly higher in male compared to female reproductive or vegetative tissues. Reconstruction of expression evolution showed that the highest inferred expression levels for the single copy ancestral angiosperm LLG was in male reproductive tissues. We propose that expression divergence played an important role in maintenance of LLG duplicates in angiosperms. One Sentence Summary Expression divergence played an important role in maintenance of two sub-groups of LLG duplicates in angiosperms

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.207
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations4
Published2020
Admission routes1
Has abstractyes

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