Genetica

, Volume 143, Issue 2, pp 207–223

How does molecular-assisted identification affect our estimation of α, β and γ biodiversity? An example from understory red seaweeds (Rhodophyta) of Laminaria kelp forests in Brittany, France

  • Marine Robuchon
  • Myriam Valero
  • Delphine Gey
  • Line Le Gall
Article

DOI: 10.1007/s10709-014-9796-z

Cite this article as:
Robuchon, M., Valero, M., Gey, D. et al. Genetica (2015) 143: 207. doi:10.1007/s10709-014-9796-z

Abstract

Using two distinct identification methods, one based on morphological characters only and the other combining morphological and molecular characters (integrative identification method), we investigated the differences in the biodiversity patterns of red seaweed communities associated with kelp forests at various spatial scales: the regional diversity of Brittany, France (γ-diversity), the local diversity at different Breton sites (α-diversity) and the differentiation in species diversity and abundances among those sites (β-diversity). To characterise α and β diversities, we conducted an initial survey in winter 2011 at 20 sites belonging to four different sub-regions, with specimens collected from six quadrats of 0.10 m2 at each site, three in the tidal zone dominated by Laminaria digitata and three in the zone dominated by Laminaria hyperborea. To further characterise the regional diversity, we carried out another survey combining several sampling methods (quadrats and visual census) in different seasons (winter, spring and summer) and different years (2011 and 2012). In all, we collected 1990 specimens that were assigned to 76 taxa with the identification method based on morphological characters and 139 taxa using the integrative method. For γ and α diversity, the use of molecular characters revealed several cases of cryptic diversity and both increased the number of identified taxa and improved their taxonomic resolution. However, the addition of molecular characters for specimen identification only slightly affected estimates of β-diversity.

Keywords

Barcode Community ecology Cryptic diversity Red algae Rocky shore Molecular taxonomy Systematics 

Supplementary material

10709_2014_9796_MOESM1_ESM.xlsx (161 kb)
Supplementary material 1 (XLSX 161 kb) Table S1 Collection and identification information for red seaweed specimens used in this study
10709_2014_9796_MOESM2_ESM.docx (24 kb)
Supplementary material 2 (DOCX 24 kb) Table S2 Results of the pairwise tests testing the differences in log-transformed species abundances of red seaweed communities (a) between communities understory of Laminaria digitata (Ld) and Laminaria hyperborea (Lh) within each sub-region (SMB: St Malo Bay, MoB: Morlaix Bay, IrS: Iroise Sea, SBr: Southern Brittany) and (b) among sub-regions for each kelp canopy species; t, the t-statistic; and P(perm), the probability calculated by permutations

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Marine Robuchon
    • 1
    • 2
  • Myriam Valero
    • 2
  • Delphine Gey
    • 3
  • Line Le Gall
    • 1
  1. 1.Institut de Systématique, Evolution, Biodiversité, UMR 7205 CNRS, EPHE, MNHN, UPMC, Equipe Exploration, Espèces, EvolutionMuséum National d’Histoire NaturelleCedex 05 ParisFrance
  2. 2.Evolutionary Biology and Ecology of Algae, UMI 3614 CNRS, UPMC Univ. Paris 06Sorbonne Universités, PUCCh, UACHRoscoffFrance
  3. 3.Outils et Méthodes de la Systématique Intégrative, UMS 2700 MNHN, CNRS, Service de Systématique MoléculaireMuséum National d’Histoire NaturelleCedex 05 ParisFrance