Evidence map›Paper›PMID 38038785›Full record

ReviewJournal, genetic engineering & biotechnology2023

Recent advances in genome annotation and synthetic biology for the development of microbial chassis.

Saltiel Hamese, Kanganwiro Mugwanda, Mutsa Takundwa, Earl Prinsloo, Deepak B Thimiri Govinda Raj

Abstract readReview
In one paragraph

Review in Journal, genetic engineering & biotechnology, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. OftenFrontiers in microbiology · 2025
    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

5 authors.

Saltiel HameseSynthetic Nanobiotechnology and Biomachines Group, Centre for Synthetic Biology and Precision Medicine, Next Generation Health Cluster, CSIR Pretoria, South Africa.
Kanganwiro MugwandaSynthetic Nanobiotechnology and Biomachines Group, Centre for Synthetic Biology and Precision Medicine, Next Generation Health Cluster, CSIR Pretoria, South Africa.
Mutsa TakundwaSynthetic Nanobiotechnology and Biomachines Group, Centre for Synthetic Biology and Precision Medicine, Next Generation Health Cluster, CSIR Pretoria, South Africa.
Earl PrinslooBiotechnology Innovation Centre, Rhodes University, PO Box 94, Makhanda, 6140, South Africa.
Deepak B Thimiri Govinda RajSynthetic Nanobiotechnology and Biomachines Group, Centre for Synthetic Biology and Precision Medicine, Next Generation Health Cluster, CSIR Pretoria, South Africa. dgovindaraj@csir.co.za.ORCID http://orcid.org/0000-0002-9328-449X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article provides an overview of microbial host selection, synthetic biology, genome annotation, metabolic modeling, and computational methods for predicting gene essentiality for developing a microbial chassis. This article focuses on lactic acid bacteria (LAB) as a microbial chassis and strategies for genome annotation of the LAB genome. As a case study, Lactococcus lactis is chosen based on its well-established therapeutic applications such as probiotics and oral vaccine development. In this article, we have delineated the strategies for genome annotations of lactic acid bacteria. These strategies also provide insights into streamlining genome reduction without compromising the functionality of the chassis and the potential for minimal genome chassis development. These insights underscore the potential for the development of efficient and sustainable synthetic biology systems using streamlined microbial chassis with minimal genomes.

Indexed as

Gene essentialityGenome annotationGenome reductionLactic acid bacteria (LAB)Lactococcus lactisMicrobial chassisSynthetic biology

Identifiers

PMID38038785
PMCPMC10692039

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.