Evidence map›Paper›PMID 35699529›Full record

ArticleSystematic biology2022

Protracted Speciation under the State-Dependent Speciation and Extinction Approach.

Xia Hua, Tyara Herdha, Conrad J Burden

Abstract read
In one paragraph

Article in Systematic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Speciation completion rates have limited impact on macroevolutionary diversification.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xia HuaMathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia.ORCID 0000-0003-3485-789X
Tyara HerdhaMathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia.
Conrad J BurdenMathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia.ORCID 0000-0003-0015-319X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How long does speciation take? The answer to this important question in evolutionary biology lies in the genetic difference not only among species, but also among lineages within each species. With the advance of genome sequencing in non-model organisms and the statistical tools to improve accuracy in inferring evolutionary histories among recently diverged lineages, we now have the lineage-level trees to answer these questions. However, we do not yet have an analytical tool for inferring speciation processes from these trees. What is needed is a model of speciation processes that generates both the trees and species identities of extant lineages. The model should allow calculation of the probability that certain lineages belong to certain species and have an evolutionary history consistent with the tree. Here, we propose such a model and test the model performance on both simulated data and real data. We show that maximum-likelihood estimates of the model are highly accurate and give estimates from real data that generate patterns consistent with observations. We discuss how to extend the model to account for different rates and types of speciation processes across lineages in a species group. By linking evolutionary processes on lineage level to species level, the model provides a new phylogenetic approach to study not just when speciation happened, but how speciation happened. [Micro-macro evolution; Protracted birth-death process; speciation completion rate; SSE approach.].

Indexed as

Extinction, BiologicalGenetic SpeciationLikelihood FunctionsPhylogeny

Identifiers

PMID35699529
PMCPMC9558848

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.