↓ Skip to main content

Metagenomics

Overview of attention for book
Cover of 'Metagenomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Construction of Small-Insert and Large-Insert Metagenomic Libraries
  3. Altmetric Badge
    Chapter 2 Extraction of Total DNA and RNA from Marine Filter Samples and Generation of a Universal cDNA as Universal Template for Marker Gene Studies
  4. Altmetric Badge
    Chapter 3 Functional Metagenomics as a Tool to Tap into Natural Diversity of Valuable Biotechnological Compounds
  5. Altmetric Badge
    Chapter 4 Functional and Sequence-Specific Screening Protocols for the Detection of Novel Antimicrobial Resistance Genes in Metagenomic DNA
  6. Altmetric Badge
    Chapter 5 Identification of PKS Gene Clusters from Metagenomic Libraries Using a Next-Generation Sequencing Approach
  7. Altmetric Badge
    Chapter 6 Activity-Based Screening of Metagenomic Fosmid Libraries for Hydrogen-Uptake Enzymes
  8. Altmetric Badge
    Chapter 7 Functional Metagenomics Approach for the Discovery of Novel Genes Encoding Phosphatase Activity
  9. Altmetric Badge
    Chapter 8 Isolation of Genes Encoding Carbon Metabolism Pathways from Complex Microbial Communities
  10. Altmetric Badge
    Chapter 9 Screening Metagenomes for Algae Cell Wall Carbohydrates Degrading Hydrolases in Enrichment Cultures
  11. Altmetric Badge
    Chapter 10 The PET-Degrading Potential of Global Metagenomes: From In Silico Mining to Active Enzymes
  12. Altmetric Badge
    Chapter 11 High-Throughput Screening for Thermostable Polyester Hydrolases
  13. Altmetric Badge
    Chapter 12 Metagenomic Screening of a Novel PET Esterase via In Vitro Expression System
  14. Altmetric Badge
    Chapter 13 Assigning Functions of Unknown Enzymes by High-Throughput Enzyme Characterization
  15. Altmetric Badge
    Chapter 14 Isolation of a Host-Confined Phage Metagenome Allows the Detection of Phages Both Capable and Incapable of Plaque Formation
  16. Altmetric Badge
    Chapter 15 CRISPR-Cas9 Shaped Viral Metagenomes Associated with Bacillus subtilis
  17. Altmetric Badge
    Chapter 16 Cloning and Expression of Metagenomic DNA in Streptomyces lividans and Its Subsequent Fermentation for Optimized Production
  18. Altmetric Badge
    Chapter 17 DNA-, RNA-, and Protein-Based Stable-Isotope Probing for High-Throughput Biomarker Analysis of Active Microorganisms.
Attention for Chapter 5: Identification of PKS Gene Clusters from Metagenomic Libraries Using a Next-Generation Sequencing Approach
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Identification of PKS Gene Clusters from Metagenomic Libraries Using a Next-Generation Sequencing Approach
Chapter number 5
Book title
Metagenomics
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2795-2_5
Pubmed ID
Book ISBNs
978-1-07-162794-5, 978-1-07-162795-2
Authors

Santana-Pereira, Alinne L R, Santana-Pereira, Alinne L. R., Alinne L. R. Santana-Pereira

Abstract

Microbial secondary metabolites have been an important source of bioactive compounds with diverse applications from medicine to agriculture, noticeably those encoded by polyketide synthase (PKS) clusters due to their astounding chemical diversity. While most discovered compounds originate from culturable microorganisms, yet-to-be cultured microbes represent a reservoir of previously inaccessible compounds. The advent and development of metagenomics have allowed not only the characterization of these microorganisms but also their metabolic potential, making viable the prospection of environmental PKS for natural product discovery.Study of environmental PKSs often relies on the construction of metagenomic libraries and their mining, with clones containing PKS clusters identified via amplification of conserved domains and then screened for an activity of interest. Compounds produced by clones exhibiting the desired bioactivity can be isolated and characterized. However, these approaches can be less sensitive and biased against more divergent clusters, in addition to precluding the use of bioinformatics for cluster characterization prior to expression. While direct shotgun sequencing of metagenomes has identified and profiled a great number of PKSs from different environments and yet-to-be cultured microorganisms, it does not lend itself well to heterologous expression, the cruxes of natural product discovery.Here, we describe a strategy for sequencing entire metagenomic libraries while maintaining correspondence between sequence and clone, allowing the full characterization and annotation of all clusters present in a library using bioinformatic tools and then seamlessly passing clones of interest for activity screening through heterologous expression. Once a library is sequenced, the methods herein can be adapted for the mining of any biosynthetic gene cluster of interest within a metagenomic library.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Immunology and Microbiology 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2022.
All research outputs
#13,121,415
of 23,130,383 outputs
Outputs from Methods in molecular biology
#3,341
of 13,271 outputs
Outputs of similar age
#136,444
of 399,298 outputs
Outputs of similar age from Methods in molecular biology
#48
of 340 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,271 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.