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Mazzuca, S., Bjork, M., Beer, S., Felisberto, P., Gobert, S., Procaccini, G., et al. (2013) Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism, and ecosystem carbon fluxes. Frontiers in Plant Science, 4, 1-19.
http://dx.doi.org/10.3389/fpls.2013.00038

has been cited by the following article:

• TITLE: Comparative analysis of bed density, total phenol content and protein expression pattern in Posidonia oceanica (L.) Delile

  AUTHORS: Alice Rotini, Letizia Anello, Maria Di Bernardo, Agata Giallongo, Luigi Valiante, Luciana Migliore

  KEYWORDS: Posidonia oceanica; Rhizome;Seagrass Monitoring; Total Phenols; 2-D Electrophoresis (2-DE); Bed Density; Protein Expression Pattern

  JOURNAL NAME: Open Journal of Ecology, Vol.3 No.6, October 23, 2013

  ABSTRACT: Posidonia oceanicameadows are experiencing a progressive decline, and monitoring their status is crucial for the maintenance of theseecosystems. We performed a comparativeanalysis of bed density, total phenol content and protein expression pattern to assess the conservation status ofPosidoniaplants from the S. Marinella (Rome, Italy) meadow. The total phenol content was inversely related to maximum beddensity, confirming the relationship betweenhigh phenol content and stressful conditions. In addition, protein expression pattern profilesshowed that the number of differentially expressed proteins was dramatically reduced in the latest years compared to previous analyses. Our results support the usefulness of integrating solid descriptors, such as phenol content, with novel biochemical/molecular approaches in the monitoring of meadows.