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Background  The white mold fungus  Sclerotinia sclerotiorum  is a devastating necrotrophic plant pathogen with a remarkably broad host range. The interaction of necrotrophs with their hosts is more complex than initially thought, and still poorly understood.    Results  We combined bioinformatics approaches to determine the repertoire of  S. sclerotiorum  effector candidates and conducted detailed sequence and expression analyses on selected candidates. We identified 486  S. sclerotiorum  secreted protein genes expressed  in planta , many of which have no predicted enzymatic activity and may be involved in the interaction between the fungus and its hosts. We focused on those showing (i) protein domains and motifs found in known fungal effectors, (ii) signatures of positive selection, (iii) recent gene duplication, or (iv) being  S. sclerotiorum -specific. We identified 78 effector candidates based on these properties. We analyzed the expression pattern of 16 representative effector candidate genes on four host plants and revealed diverse expression patterns.    Conclusions  These results reveal diverse predicted functions and expression patterns in the repertoire of  S. sclerotiorum  effector candidates. They will facilitate the functional analysis of fungal pathogenicity determinants and should prove useful in the search for plant quantitative disease resistance components active against the white mold.    Electronic supplementary material  The online version of this article (doi:10.1186/1471-2164-15-336) contains supplementary material, which is available to authorized users.

Secretome analysis reveals effector candidates associated with broad host range necrotrophy in the fungal plant pathogen Sclerotinia sclerotiorum