Evidence map›Paper›PMID 22299709›Full record

ArticleThe Journal of eukaryotic microbiology

Discrimination, crypticity, and incipient taxa in entamoeba.

Avelina Espinosa, Guillermo Paz-Y-Miño-C

Abstract read
In one paragraph

Article in The Journal of eukaryotic microbiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

2 authors.

Avelina EspinosaDepartment of Biology, Roger Williams University, Bristol, RI 02809, USA. aespinosa@rwu.edu
Guillermo Paz-Y-Miño-C

Funding

Training CoreP20GM103430 · NIGMS · UNIVERSITY OF RHODE ISLAND · PI Bongsup P Cho · 2012 to 2026
$63.6M
UNDERGRADUATE RESEARCH AND SEMINARSP20RR016457 · NCRR · UNIVERSITY OF RHODE ISLAND · PI SHAKARIAN, ALISON M · 2001 to 2011
$35.5M
NCRR NIH HHS P20 RR016457NCRR NIH HHS P20RR16457-11NIGMS NIH HHS P20 GM103430
6 · The paper itself

Abstract

Persistent difficulties in resolving clear lineages in diverging populations of prokaryotes or unicellular eukaryotes (protistan polyphyletic groups) are challenging the classical species concept. Although multiple integrated approaches would render holistic taxonomies, most phylogenetic studies are still based on single-gene or morphological traits. Such methodologies conceal natural lineages, which are considered "cryptic." The concept of species is considered artificial and inadequate to define natural populations. Social organisms display differential behaviors toward kin than to nonrelated individuals. In "social" microbes, kin discrimination has been used to help resolve crypticity. Aggregative behavior could be explored in a nonsocial protist to define phylogenetic varieties that are considered "cryptic." Two Entamoeba invadens strains, IP-1 and VK-1:NS are considered close populations of the same "species." This study demonstrates that IP-1 and VK-1:NS trophozoites aggregate only with alike members and discriminate members of different strains based on behavioral and chemical signals. Combined morphological, behavioral/chemical, and ecological studies could improve Archamoebae phylogenies and define cryptic varieties. Evolutionary processes in which selection acted continuously and cumulatively on ancestors of Entamoeba populations gave rise to chemical and behavioral signals that allowed individuals to discriminate nonpopulation members and, gradually, to the emergence of new lineages; alternative views that claim a "Designer" or "Creator" as responsible for protistan diversity are unfounded.

Indexed as

EntamoebaEvolution, MolecularPhylogeny

Identifiers

PMID22299709
PMCPMC3305818

What OpenQuestion holds

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Registered trials

None linked

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.