Difference between revisions of "Posidonia oceanica"

From ICG
Jump to navigation Jump to search
Line 13: Line 13:
! style="width=25% font-size:9pt "|Application Scope  
! style="width=25% font-size:9pt "|Application Scope  
! Accession Number  
! Accession Number  
! Primer
! Primers (5'-3')<br>[Forward/Reverse]
! Size [bp]  
! Size [bp]  
! Tm [℃]
! Tm [℃]

Revision as of 11:59, 20 June 2017


Posidonia oceanica-1.jpg
  • Posidonia oceanica is an endemic Mediterranean seagrass, widely distributed along the Mediterranean coasts where it forms large monospecific beds across a wide bathymetric gradient. P. oceanica meadows provide key ecological services in the coastal area, including maintenance of marine biodiversity, organic carbon production and export, sediment stabilization and coastal erosion prevention.
  • P. oceanica has a monoecious mating system and is capable of long-range dispersal by floating fruits. Sexual reproduction occurs irregularly throughout the whole basin, and very large clones can be found within single meadows. P. oceanica meadows, like other seagrass ecosystems, are extremely sensitive to both moderate and high levels of disturbances often associated with highly human-impacted coasts[1] [2].

Various Abiotic Stresses

Reference Genes

Gene Symbol Gene Name Application Scope Accession Number Primers (5'-3')
Size [bp] Tm [℃] Detection
18S[1] Ribosomal RNA 18S
  • Universal reference gene
200 60 SYBR
EF1A[1] Elongation factor 1-alpha
  • Universal reference gene
214 60 SYBR
NTUBC[1] Ubiquitin-conjugating enzyme
  • Universal reference gene
128 60 SYBR
UBI[1] Ubiquitin
  • Universal reference gene
195 60 SYBR

Moleculer Types

  • mRNA

Evaluation Methods


  • Name: Ilia Anna Serra
  • Email: gpro@szn.it
  • Institute: Stazione Zoologica Anton Dohrn,Villa Comunale, 80121 Naples, Italy

Citation Statistics

Cited by 22 (Based on Google Scholar [2017-06-16])


  1. 1.0 1.1 1.2 1.3 1.4 Serra I A, Lauritano C, Dattolo E, et al. Reference genes assessment for the seagrass Posidonia oceanica in different salinity, pH and light conditions[J]. Marine biology, 2012, 159(6): 1269-1282.
  2. Andersen CL, Jensen JL, Orntoft TF (2004) Normalization of realtime quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res 64:5245–5250