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Disruption of continuous tooth replacement in squamates: Implications for tooth evolution and development

2019· article· en· W3176908145 on OpenAlexafffundabout
Kirstin S. Brink, Joy M. Richman

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicdental development and anomalies
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BCAmerican Association of Anatomists
KeywordsDentitionBiologyDentistryTooth eruptionTooth wearOrthodonticsDental laminaMedicineMolarPaleontology

Abstract

fetched live from OpenAlex

The ability for animals to continuously replace their teeth, or polyphyodonty, is a character deeply nested within Vertebrata. Tooth cycling in polyphyodont vertebrates occurs in a regular pattern, passing through alternating tooth positions in waves around the mouth. Although several hypotheses have been proposed for the establishment and maintenance of this phenomenon, it is not yet known if tooth patterning is controlled through global molecular signals in the jaw environment, signalling between adjacent teeth, or local signals within each tooth family, or how tooth size differences (heterodonty) may affect the regularity of replacement waves. To investigate the mechanisms of polyphyodonty, a historical dataset of unpublished reptile dental x‐rays collected in the 1950s and 60s was analysed. Thirty species of reptiles were x‐rayed monthly for up to two years. The dataset includes animals with heterodont dentitions, such as Alligator , Varanus , and Dracaena , and iguanas with homodont dentitions (teeth are the same size around the mouth) that underwent tooth removal experiments and were tracked with bi‐monthly x‐rays for up to seven months post surgery. Surgical experiments included functional tooth extraction, tooth bud extraction, and removal of portions of the dental lamina with and without tooth extraction. Results in all animals show predictable wave replacement patterns in the dentition over long time periods. In the homodont Iguana , the timing of tooth development and tooth replacement is tightly correlated. However, in the heterodont reptiles, the developmental time is different between teeth: smaller teeth take one or two months to develop before eruption, while larger teeth take up to five months. Tooth removal experiments in Iguana show disruptions in replacement timing after surgery, but near‐complete recovery after six months when developing teeth are removed and the dental lamina is left intact. Damage to the dental lamina creates a strong phenotype in tooth replacement timing and patterning that does not recover, with critical size defects as small as one tooth position. However, tooth replacement continues anterior and posterior to the surgical site, supporting a local rather than global mechanism governing tooth replacement in adult dentitions. These results suggest that tooth replacement in the adult is independently controlled within the tooth family and not through global signalling factors traveling along the dental lamina. Tooth development time is consistent at each tooth position, and does not change after minor disruption. This has implications for the evolution of dentitions, as discrete regions of the mouth can react differently to selection pressures, generating diversity in tooth size, shape, and function. Support or Funding Information KB is funded by a Banting Postdoctoral Fellowship, a Killam Postdoctoral Fellowship, the Michael Smith Foundation for Health Research, and the American Association of Anatomists. Access to collections was provided by the Royal Ontario Museum. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.163

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 science0.0000.000
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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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

Citations0
Published2019
Admission routes3
Has abstractyes

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