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Record W4406088762 · doi:10.1016/j.pld.2025.01.002

Genome compaction underlies the molecular adaptation of bay cedar (Suriana maritima) to the extreme habitat on the tropical coral islands

2025· article· en· W4406088762 on OpenAlexafffund
Miaomiao Shi, Ping Liang, Zhonglai Luo, Yu Zhang, Shiran Gu, Xiangping Wang, Xin Qian, Shuguang Jian, Kuaifei Xia, Shi-jin Li, Zhongtao Zhao, Tieyao Tu, Dianxiang Zhang

Bibliographic record

VenuePlant Diversity · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsBrock University
FundersNational Key Research and Development Program of ChinaAlliance de recherche numérique du CanadaScience and Technology Planning Project of Guangdong ProvinceGuangdong Provincial Applied Science and Technology Research and Development ProgramNational Natural Science Foundation of China
KeywordsBayCoralAdaptation (eye)HabitatTropical marine climateGeographyEcologyCoral reefBiologyOceanographyGeologyArchaeology

Abstract

fetched live from OpenAlex

•The assembled genome of Bay cedar is 292.8 Mb, representing a small genome size within Fabales.•The compact genome was likely caused by remarkable reduction of long terminal repeat retrotransposons and gene losses.•The genes related to cold tolerance and pest/pathogen resistance were largely lost.•Expanded, positively selected, or retained genes after WGD may drive Bay cedar's adaptation to tropical coral islands.•Differentially expressed genes under salt and drought stresses were particularly identified in the abscisic acid pathway.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.034
GPT teacher head0.202
Teacher spread0.167 · 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 designObservational
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

Citations2
Published2025
Admission routes2
Has abstractyes

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