Evidence map›Paper›PMID 37012421›Full record

ReviewJournal of molecular evolution2023

Best Practices in Microbial Experimental Evolution: Using Reporters and Long-Read Sequencing to Identify Copy Number Variation in Experimental Evolution.

Pieter Spealman, Titir De, Julie N Chuong, David Gresham

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of molecular evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  10. Best Practices in Microbial Experimental Evolution.Journal of molecular evolution · 2023
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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

4 authors at 1 institution in 1 country.

Pieter SpealmanDepartment of Biology, New York University, New York, NY, 10003, USA.
Titir DeDepartment of Biology, New York University, New York, NY, 10003, USA.
Julie N ChuongDepartment of Biology, New York University, New York, NY, 10003, USA.
David GreshamDepartment of Biology, New York University, New York, NY, 10003, USA. dgresham@nyu.edu.ORCID http://orcid.org/0000-0002-4028-0364
New York University · US

Funding

Regulation of Quiescence in Eukaryotic CellsR01GM107466 · NIGMS · NEW YORK UNIVERSITY · PI GRESHAM, DAVID · 2013 to 2022
$3.0M
The Quantitative Biological Systems Training (QBIST) ProgramT32GM132037 · NIGMS · NEW YORK UNIVERSITY · PI David Gresham, Christine Vogel · 2019 to 2026
$2.3M
Constraints and Consequences of Copy Number VariationR01GM134066 · NIGMS · NEW YORK UNIVERSITY · PI GRESHAM, DAVID · 2020 to 2023
$1.2M
NIGMS NIH HHS R01 GM107466NIGMS NIH HHS R01 GM134066NIGMS NIH HHS T32 GM132037
6 · The paper itself

Abstract

Copy number variants (CNVs), comprising gene amplifications and deletions, are a pervasive class of heritable variation. CNVs play a key role in rapid adaptation in both natural, and experimental, evolution. However, despite the advent of new DNA sequencing technologies, detection and quantification of CNVs in heterogeneous populations has remained challenging. Here, we summarize recent advances in the use of CNV reporters that provide a facile means of quantifying de novo CNVs at a specific locus in the genome, and nanopore sequencing, for resolving the often complex structures of CNVs. We provide guidance for the engineering and analysis of CNV reporters and practical guidelines for single-cell analysis of CNVs using flow cytometry. We summarize recent advances in nanopore sequencing, discuss the utility of this technology, and provide guidance for the bioinformatic analysis of these data to define the molecular structure of CNVs. The combination of reporter systems for tracking and isolating CNV lineages and long-read DNA sequencing for characterizing CNV structures enables unprecedented resolution of the mechanisms by which CNVs are generated and their evolutionary dynamics.

Indexed as

DNA Copy Number VariationsGenomeComputational BiologyGene AmplificationSequence Analysis, DNACopy-number variantFluorescent CNV reporterGenome dynamicsLong-read sequencingLong term experimental evolution

Identifiers

PMID37012421
PMCPMC10275804
OpenAlexW4362520700

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.