Evidence map›Paper›PMID 35166841›Full record

ArticleMolecular biology and evolution2022

Limitations of Phylogenomic Data Can Drive Inferred Speciation Rate Shifts.

Jack M Craig, Sudhir Kumar, S Blair Hedges

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Completing a molecular timetree of apes and monkeys.Frontiers in bioinformatics · 2023
    Article
  6. 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.

Jack M CraigCenter for Biodiversity, Temple University, Philadelphia, PA, USA.ORCID 0000-0003-0590-5944
Sudhir KumarCenter for Biodiversity, Temple University, Philadelphia, PA, USA.ORCID 0000-0002-9918-8212
S Blair HedgesCenter for Biodiversity, Temple University, Philadelphia, PA, USA.ORCID 0000-0002-0652-2411

Funding

Methods For Evolutionary Genomics AnalysisR35GM139540 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Sudhir Kumar · 2021 to 2026
$2.9M
Inferring molecular evolutionary rates and divergence datesR01GM126567 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2018 to 2020
$951k
NIGMS NIH HHS R01 GM126567
6 · The paper itself

Abstract

Biodiversity analyses of phylogenomic timetrees have produced many high-profile examples of shifts in the rate of speciation across the tree of life. Temporally correlated events in ecology, climate, and biogeography are frequently invoked to explain these rate shifts. In a re-examination of 15 genomic timetrees and 25 major published studies of the pattern of speciation through time, we observed an unexpected correlation between the timing of reported rate shifts and the information content of sequence alignments. Here, we show that the paucity of sequence variation and insufficient species sampling in phylogenomic data sets are the likely drivers of many inferred speciation rate shifts, rather than the proposed biological explanations. Therefore, data limitations can produce predictable but spurious signals of rate shifts even when speciation rates may be similar across taxa and time. Our results suggest that the reliable detection of speciation rate shifts requires the acquisition and assembly of long phylogenomic alignments with near-complete species sampling and accurate estimates of species richness for the clades of study.

Indexed as

BiodiversityGenetic SpeciationClimateEcologyPhylogenybiodiversitydiversificationspeciationtimetreetree of life

Identifiers

PMID35166841
PMCPMC8896619

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Registered trials

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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.