br Acknowledgments We are very grateful to Sol Enriquez

Acknowledgments We are very grateful to Sol Enriquez, Antonio Fernández Cordeiro, Sole Bastos, Manolo Alonso, Carlos del Río, Pepe Piñeiro, Rubén Portas, Emilio Martínez Sabarís and other members of the bird ringing group Anduriña for truly enjoyable journeys of bird ringing and “grooming”, seasoned with pleasant conversation, eating and gardening. We also thank palynologists Iria García-Moreiras and Castor Muñoz for assistance in pollen identification and advice on sampling processing. This study was partially funded by project EM2014/030 (Emergent researchers projects, Galician Government) to MCC. MN thanks the Erasmus program for funding his stage in the University of Vigo.
ACE inhibitory activities of five BMSP hydrolysates (which were derived from trypsin, α-chymotrypsin, pepsin, alcalase, and thermolysin) were evaluated using in vitro ACE inhibitory assay. The identified protein phosphatase inhibitor were analyzed using LC–MS/MS. The yields of VY-7 at various hydrolysis conditions were examined using LC–MS/MS (MRM mode) and HPLC.
Acknowledgments This work was financially supported by Taiwan Ministry of Science and Technology (MOST) Grants (MOST 104-2113-M-020-001 for Dr. Jue-Liang Hsu). We also appreciate the instrument support by Research Center for Active Natural Products Development in NPUST.
Data and experimental design
Materials and methods
Acknowledgments This work was supported in part by Takeda Science Foundation to Y. Sakai, Grants-in-Aid for Young Scientists to Y. Sakai (No. 25861161), and Grants-in-Aid for Scientific Research to S. Eguchi (No. 26461916). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Specifications table
Data
Experimental design, materials and methods
Acknowledgments The National Council of Science and Technology (CONACYT) provided the financial support (Project no. 000000000168895) to carry out this research. The authors thank Karen R. Astorga-Cienfuegos for technical support and also acknowledge the field assistance provided by the agronomist engineer Ramiro Domínguez-Martínez.
Data The data described in this paper contain 18.521 georeferenced entries of higher vascular plants and pteridophytes identified in the field. The most common bryophytes and lichens have also been registered, but the registration of these species groups is incomplete and varying strongly. Each entry is linked to a circular plots of 10m2 size, where ecological variables have also been registered (Table 1). The average number of entries in the 1190 plots is 15.6 species. The entries have recently been published (4th October 2015) on the GBIF-server, they are stored there, and are available for download [5].
Experimental design, materials and methods
Usage rights Data is published under the Creative Commons Zero (CC0) public domain waiver [14,15]. The data in the dataset is published free and open for scientific reuse and other legible use. Please cite this publication or the resource when using parts of the data in your analyses.
Acknowledgements The registering of plant species has been financially supported by the Norwegian Institute of Bioeconomy Research, whereas the data preparation has been funded by the Norwegian Global Biodiversity Information Facility node in Oslo. The authors would like to thank two anonymous reviewers for their comments on the manuscript, and all field-workers for their effort in gathering the data.
Experimental design Fig. 1 shows the general workflow of the membrane proteomic analysis. Leaves were collected from the mangrove trees and plasma membrane fraction was isolated using an aqueous two-phase partitioning method while the tonoplast fraction was isolated by density gradient centrifugation. The membrane proteins were fractionated by one- and two-dimensional gel electrophoresis. The trypsin digested fragments from the gels were used for LC–MS/MS analysis. MS data was acquired using a TripleTOF 5600 system and the peptide identification was carried out using the ProteinPilot 4.5 software.