Cited by 66Microbial Natural Products and BiosynthesisGenomics and Phylogenetic StudiesMicrobial Metabolic Engineering and Bioproduction

Omics for Bioprospecting and Drug Discovery from Bacteria and Microalgae

Open access
Maghembe, Reuben, Damian, Donath, Makaranga, Abdalah, Nyandoro, Stephen Samwel, Lyantagaye, Sylvester Leonard, Kusari, Souvik, Hatti-Kaul, Rajni·2020·Antibiotics

Abstract

“Omics” represent a combinatorial approach to high-throughput analysis of biological entities for various purposes. It broadly encompasses genomics, transcriptomics, proteomics, lipidomics, and metabolomics. Bacteria and microalgae exhibit a wide range of genetic, biochemical and concomitantly, physiological variations owing to their exposure to biotic and abiotic dynamics in their ecosystem conditions. Consequently, optimal conditions for adequate growth and production of useful bacterial or microalgal metabolites are critically unpredictable. Traditional methods employ microbe isolation and ‘blind’-culture optimization with numerous chemical analyses making the bioprospecting process laborious, strenuous, and costly. Advances in the next generation sequencing (NGS) technologies have offered a platform for the pan-genomic analysis of microbes from community and strain downstream to the gene level. Changing conditions in nature or laboratory accompany epigenetic modulation, variation in gene expression, and subsequent biochemical profiles defining an organism’s inherent metabolic repertoire. Proteome and metabolome analysis could further our understanding of the molecular and biochemical attributes of the microbes under research. This review provides an overview of recent studies that have employed omics as a robust, broad-spectrum approach for screening bacteria and microalgae to exploit their potential as sources of drug leads by focusing on their genomes, secondary metabolite biosynthetic pathway genes, transcriptomes, and metabolomes. We also highlight how recent studies have combined molecular biology with analytical chemistry methods, which further underscore the need for advances in bioinformatics and chemoinformatics as vital instruments in the discovery of novel bacterial and microalgal strains as well as new drug leads.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/antibiotics9050229

Cites

167 of 167 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Multi-omics approaches allow an integrated and systems-level understanding of microalgal metabolism and stress responses.

    “Multi-omics approaches, including genomics, transcriptomics, proteomics, metabolomics, and lipidomics, allow for an integrated and systems-level understanding of microalgal metabolism and stress responses [42].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [3]Mate N. Nader W. Tamayo G. Encyclopeida of Biodiversity Levin S.E. Academic Press Cambridge, MA, USA 2013 Volume 1 571 579

Cited by

Sorted by citations

Authors
Maghembe, R., Damian, D., Makaranga, A., Nyandoro, S. S., Lyantagaye, S. L., Kusari, S., & Hatti-Kaul, R.
Affiliations
  • University of Dar es Salaam (TZ)
  • International Centre for Genetic Engineering and Biotechnology (IN)
  • TU Dortmund University (DE)
  • Division of Biotechnology, Department of Chemistry, Center for Chemistry and Chemical Engineering, Lund University, Box 124, 22100 Lund, Sweden
Corresponding author
Kusari, Souvik
Venue
Antibiotics
Publisher
MDPI AG
Published
2020-05-04
Volume
9
Issue
5
Pages
229
ISSN
2079-6382 (ISSN-L)
OpenAlex
W3021586468
Cited by
66
References
167
Citations by year
2026: 9 · 2025: 12 · 2024: 13 · 2023: 8 · 2022: 14 · 2021: 8 · 2020: 2
FWCI
1.05
Type
journal article
Language
en
Open access
Locations
  • Antibiotics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
Styrelsen för Internationellt Utvecklingssamarbete (IMB-2015/2020)
Topics
  • Health Sciences › Medicine › Pharmacology › Microbial Natural Products and Biosynthesis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Keywords
omics, bioprospecting, drug discovery, bacteria, microalgae, secondary metabolites, transcriptomics, proteomics, metabolomics, lipidomics, pangenomics, epigenetic modulation, gene expression, cheminformatics, bioinformatics, natural product screening

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review