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Record W2103337472 · doi:10.1038/ncomms2860

Draft genome sequence of the Tibetan antelope

2013· article· en· W2103337472 on OpenAlexaff
Ri-Li Ge, Yongyi Shen, Amor A. San Juan, Lan Ma, Yong Zhang, Xin Yi, Yan Chen, Lingfeng Yang, Ying Huang, Rongjun He, Yuanyuan Hui, Meirong Hao, Yue Li, Bo Wang, Xiaohua Ou, Jiaohui Xü, Yongfen Zhang, Kui Wu, Chunyu Geng, Weiping Zhou, Taicheng Zhou, David M. Irwin, Yingzhong Yang, Liu Ying, Haihua Bao, Jaebum Kim, Denis M. Larkin, Jian Ma, Harris A. Lewin, Jinchuan Xing, Roy N. Platt, David A. Ray, Loretta Auvil, Boris Capitanu, Xiufeng Zhang, Guojie Zhang, Robert W. Murphy, Jun Wang, Ya-Ping Zhang, Jian Wang

Bibliographic record

VenueNature Communications · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsRoyal Ontario MuseumUniversity of Toronto
FundersNational Key Research and Development Program of ChinaChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsAdaptation (eye)GenomeBiologyConvergent evolutionGeneEvolutionary biologyPlateau (mathematics)Effects of high altitude on humansPhylogeneticsGenetics

Abstract

fetched live from OpenAlex

The Tibetan antelope (Pantholops hodgsonii) is endemic to the extremely inhospitable high-altitude environment of the Qinghai-Tibetan Plateau, a region that has a low partial pressure of oxygen and high ultraviolet radiation. Here we generate a draft genome of this artiodactyl and use it to detect the potential genetic bases of highland adaptation. Compared with other plain-dwelling mammals, the genome of the Tibetan antelope shows signals of adaptive evolution and gene-family expansion in genes associated with energy metabolism and oxygen transmission. Both the highland American pika, and the Tibetan antelope have signals of positive selection for genes involved in DNA repair and the production of ATPase. Genes associated with hypoxia seem to have experienced convergent evolution. Thus, our study suggests that common genetic mechanisms might have been utilized to enable high-altitude adaptation. The endemic Tibetan antelope is adapted to high-altitude environments with low partial pressure of oxygen and high level of ultraviolet radiation. Here Ge et al. report a draft genome of this species and by comparison with other mammals, present possible genetic bases of highland adaptation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.190

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 science0.0010.001
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 head0.018
GPT teacher head0.273
Teacher spread0.255 · 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

Citations295
Published2013
Admission routes1
Has abstractyes

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