Evidence map›Paper›PMID 34662238›Full record

ArticleJournal of bacteriology2022

The Conserved Serine Transporter SdaC Moonlights To Enable Self Recognition.

Achala Chittor, Karine A Gibbs

Open access · greenAbstract read
In one paragraph

Article in Journal of bacteriology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Journal of bacteriology · 2024
    Article
  2. 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 at 1 institution in 1 country.

Achala ChittorDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0001-9889-1232
Karine A GibbsDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0002-1246-6401
Harvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells can use self recognition to achieve cooperative behaviors. Self-recognition genes are thought to principally evolve in tandem with partner self-recognition alleles. However, other constraints on protein evolution could exist. Here, we have identified an interaction outside self-recognition loci that could constrain the sequence variation of a self-recognition protein. We show that during collective swarm expansion in Proteus mirabilis, self-recognition signaling co-opts SdaC, a serine transporter. Serine uptake is crucial for bacterial survival and colonization. Single-residue variants of SdaC reveal that self recognition requires an open conformation of the protein; serine transport is dispensable. A distant ortholog from Escherichia coli is sufficient for self recognition; however, a paralogous serine transporter, YhaO, is not. Thus, SdaC couples self recognition and serine transport, likely through a shared molecular interface. Self-recognition proteins may follow the framework of a complex interaction network rather than an isolated two-protein system. Understanding the molecular and ecological constraints on self-recognition proteins lays the groundwork for insights into the evolution of self recognition and emergent collective behaviors.

Indexed as

Bacterial ProteinsBiological TransportGene Expression Regulation, BacterialLocomotionMembrane ProteinsProteus mirabilisBacterial ProteinsMembrane Proteinskin recognitionLeuT fold proteinsprotein evolutionProteus mirabilisself recognitionserineserine transport

Identifiers

PMID34662238
PMCPMC8765456
OpenAlexW3207118004

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.