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Record W3119209334 · doi:10.1101/cshperspect.a039958

Of Cells, Strands, and Networks: Auxin and the Patterned Formation of the Vascular System

2021· review· en· W3119209334 on OpenAlexafffund
Dhruv Lavania, Nguyễn Mạnh Linh, Enrico Scarpella

Bibliographic record

VenueCold Spring Harbor Perspectives in Biology · 2021
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyAuxinCell biologyPopulationProcess (computing)Vascular tissueCellNeuroscienceCell divisionDirectionalityAnatomyBotanyComputer scienceBiochemistryGenetics

Abstract

fetched live from OpenAlex

Throughout plant development, vascular cells continually form from within a population of seemingly equivalent cells.Vascular cells connect end to end to form continuous strands, and vascular strands connect at both or either end to form networks of exquisite complexity and mesmerizing beauty.Here we argue that experimental evidence gained over the past few decades implicates the plant hormone auxin-its production, transport, perception, and response-in all the steps that lead to the patterned formation of the plant vascular system, from the formation of vascular cells to their connection into vascular networks.We emphasize the organizing principles of the cell-and tissue-patterning process, rather than its molecular subtleties.In the picture that emerges, cells compete for an auxin-dependent, cellpolarizing signal; positive feedback between cell polarization and cell-to-cell movement of the polarizing signal leads to gradual selection of cell files; and selected cell files differentiate into vascular strands that drain the polarizing signal from the neighboring cells.Although the logic of the patterning process has become increasingly clear, the molecular details remain blurry; the future challenge will be to bring them into razor-sharp focus. AUXIN AND THE PLANT VASCULAR SYSTEMI n most multicellular organisms, water, nutri- ents, and signals are transported by tissue networks.In animals, this essential transport function is distributed over separate tissue networks-for example, the nervous, circulatory, and respiratory systems.By contrast, in plants, all transport functions are performed by the only tissue network: the vascular system.The plant vascular system is a network of vascular strands that connect the different parts of an organ and the different organs of a plant (Fig. 1; Esau 1965).Vascular strands are bundles of files of vascular cells that are elongated along the file and connected at their ends (Fig. 1).Vascular strands are named differently in different organs: veins in flat organs like leaves, petals, sepals, and cotyledons; vascular bundles in the stem; and vascular cylinder or stele in the root.The relation between the plant hormone auxin and vascular development is old (e.g., Kraus et al. 1936) and varied (e.g., Snow 1935;Camus 1949;Jacobs 1952;Wangermann 1967).Here we discuss evidence that suggests that auxin controls the patterned formation of the vascular system at all the system's organization levels: the cells', the strands', and the network's.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0000.002
Scholarly communication0.0020.005
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.004

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 head0.024
GPT teacher head0.267
Teacher spread0.243 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations27
Published2021
Admission routes2
Has abstractyes

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