Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. The insect-killing bacterium Photorhabdus luminescens has the lowest mutation rate among bacteria

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2020

The insect-killing bacterium Photorhabdus luminescens has the lowest mutation rate among bacteria

0 Datasets

0 Files

en
2020
Vol 3 (1)
Vol. 3
DOI: 10.1007/s42995-020-00060-0

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Michael E Lynch
Michael E Lynch

Cornell University

Verified
Jiao Pan
Emily Williams
Way Sung
+2 more

Abstract

Abstract Mutation is a primary source of genetic variation that is used to power evolution. Many studies, however, have shown that most mutations are deleterious and, as a result, extremely low mutation rates might be beneficial for survival. Using a mutation accumulation experiment, an unbiased method for mutation study, we found an extremely low base-substitution mutation rate of 5.94 × 10 –11 per nucleotide site per cell division (95% Poisson confidence intervals: 4.65 × 10 –11 , 7.48 × 10 –11 ) and indel mutation rate of 8.25 × 10 –12 per site per cell division (95% confidence intervals: 3.96 × 10 –12 , 1.52 × 10 –11 ) in the bacterium Photorhabdus luminescens ATCC29999. The mutations are strongly A/T-biased with a mutation bias of 10.28 in the A/T direction. It has been hypothesized that the ability for selection to lower mutation rates is inversely proportional to the effective population size (drift-barrier hypothesis) and we found that the effective population size of this bacterium is significantly greater than most other bacteria. This finding further decreases the lower-bounds of bacterial mutation rates and provides evidence that extreme levels of replication fidelity can evolve within organisms that maintain large effective population sizes.

How to cite this publication

Jiao Pan, Emily Williams, Way Sung, Michael E Lynch, Hongan Long (2020). The insect-killing bacterium Photorhabdus luminescens has the lowest mutation rate among bacteria. , 3(1), DOI: https://doi.org/10.1007/s42995-020-00060-0.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2020

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1007/s42995-020-00060-0

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access