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Record W2748450595 · doi:10.1038/s41598-017-08194-5

Rapid amplification of four retrotransposon families promoted speciation and genome size expansion in the genus Panax

2017· article· en· W2748450595 on OpenAlexaff
Junki Lee, Nomar Espinosa Waminal, Hong‐Il Choi, Sampath Perumal, Sang‐Choon Lee, Van Binh Nguyen, Woojong Jang, Nam‐Hoon Kim, Li‐Zhi Gao, Tae‐Jin Yang

Bibliographic record

VenueScientific Reports · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsAgriculture and Agri-Food Canada
FundersRural Development Administration
KeywordsGenomeRetrotransposonBiologyGenome sizePloidySubfamilyGenome evolutionGeneticsGinsengPanax notoginsengGene duplicationTransposable elementGene

Abstract

fetched live from OpenAlex

Genome duplication and repeat multiplication contribute to genome evolution in plants. Our previous work identified a recent allotetraploidization event and five high-copy LTR retrotransposon (LTR-RT) families PgDel, PgTat, PgAthila, PgTork, and PgOryco in Panax ginseng. Here, using whole-genome sequences, we quantified major repeats in five Panax species and investigated their role in genome evolution. The diploids P. japonicus, P. vietnamensis, and P. notoginseng and the tetraploids P. ginseng and P. quinquefolius were analyzed alongside their relative Aralia elata. These species possess 0.8-4.9 Gb haploid genomes. The PgDel, PgTat, PgAthila, and PgTork LTR-RT superfamilies accounted for 39-52% of the Panax species genomes and 17% of the A. elata genome. PgDel included six subfamily members, each with a distinct genome distribution. In particular, the PgDel1 subfamily occupied 23-35% of the Panax genomes and accounted for much of their genome size variation. PgDel1 occupied 22.6% (0.8 Gb of 3.6 Gb) and 34.5% (1.7 Gb of 4.9 Gb) of the P. ginseng and P. quinquefolius genomes, respectively. Our findings indicate that the P. quinquefolius genome may have expanded due to rapid PgDel1 amplification over the last million years as a result of environmental adaptation following migration from Asia to North America.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.032
GPT teacher head0.227
Teacher spread0.194 · 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 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

Citations38
Published2017
Admission routes1
Has abstractyes

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