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NifH detection/quantification (qPCR, RT-qPCR; nifH database)

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Revision as of 02:17, 10 February 2026 by Chreaa (talk | contribs) (Created page with " * Page authors: Christian Furbo Reeder, PRIMO * Responsible curator: Christian Furbo Reeder ---- __TOC__ <div class="model-box"> {| class="model-ib" ! What is being measured in 1 - 3 words |- | '''Approach:''' gene quantification |- | '''Context:''' ''Molecular'' |- | '''Spatial scale:''' |- | '''Temporal scale:''' Days, Seasons |- | '''Units:''' gene copies, transcripts |- | '''Community captured:''' d...")
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What is being measured in 1 - 3 words
Approach: gene quantification
Context: Molecular
Spatial scale:
Temporal scale: Days, Seasons
Units: gene copies, transcripts
Community captured: diazotrophs (potential or active)
Co-measurements:

Method Overview

Quantification of nifH is typically performed using quantitative PCR (qPCR) to measure nifH gene copy numbers, providing an estimate of diazotroph abundance. Reverse transcription qPCR (RT-qPCR) targets nifH transcripts, enabling assessment of gene expression and thus potential nitrogenase activity

Output

  • nifH gene copy numbers (qPCR)
  • nifH transcript abundance (RT-qPCR)
  • Gene- or transcript-based estimates of nitrogen fixation potential

Scale of measurement

  • Molecular / gene-expression level
  • Quantitative
  • Community-integrated signal

Data generated

  • Ct (cycle threshold) values
  • Standard curves for absolute quantification
  • Gene or transcript copy number estimates
  • Metadata-linked abundance or expression tables

Units & currency

  • nifH gene copies L−1 or g−1
  • nifH transcripts L−1 or g−1
  • Relative expression (normalized units)
  • Fold change (RT-qPCR)

Sample size

  • Varies by study design
  • Includes biological replication and controls

Repositories & databases

Limitations

  • Gene copy number does not equal nitrogen fixation rate

Example Applications & Protocols

Classic examples

Recent applications

Protocols:

  • Standard nifH qPCR and RT-qPCR protocols
  • SYBR Green or probe-based detection methods
  • Custom laboratory SOPs optimized for primer sets and environmental matrices

Common calculations/conversions

  • Gene copies = Ct-based quantification using standard curves
  • Normalization to volume, mass, or biomass
  • Conversion of transcript abundance to relative expression levels

References