IntroductionConcerning NMR-based metabolomics, 1D spectra processing often requires an expert eye for disentangling the intertwined peaks.ObjectivesThe objective of NMRProcFlow is to assist the expert in this task in the best way without requirement of programming skills.MethodsNMRProcFlow was developed to be a graphical and interactive 1D NMR (1H & 13C) spectra processing tool.ResultsNMRProcFlow (http://nmrprocflow.org), dedicated to metabolic fingerprinting and targeted metabolomics, covers all spectra processing steps including baseline correction, chemical shift calibration and alignment.ConclusionBiologists and NMR spectroscopists can easily interact and develop synergies by visualizing the NMR spectra along with their corresponding experimental-factor levels, thus setting a bridge between experimental design and subsequent statistical analyses.Electronic supplementary materialThe online version of this article (doi:10.1007/s11306-017-1178-y) contains supplementary material, which is available to authorized users.

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Metagenomic studies have indicated that the diversity of plant viruses was until recently far underestimated. As important components of ecosystems, there is a need to explore the diversity and richness of the viruses associated with plant populations and to understand the drivers shaping their diversity in space and time. Two viral sequence enrichment approaches, double-stranded RNA (dsRNA) and virion-associated nucleic acids (VANA), have been used and compared here for the description of the virome of complex plant pools representative of the most prevalent plant species in unmanaged and cultivated ecosystems. A novel bioinformatics strategy was used to assess viral richness not only at the family level but also by determining operational taxonomic units (OTU) following the clustering of conserved viral domains. A large viral diversity dominated by novel dsRNA viruses was detected in all sites, while a large between-site variability limited the ability to draw a clear conclusion on the impact of cultivation. A trend for a higher diversity of dsRNA viruses was nevertheless detected in unmanaged sites (118 versus 77 unique OTUs). The dsRNA-based approach consistently revealed a broader and more comprehensive diversity for RNA viruses than the VANA approach, whatever the assessment criterion. In addition, dissimilarity analyses indicated both approaches to be largely reproducible but not necessarily convergent. These findings illustrate features of phytoviromes in various ecosystems and a novel strategy for precise virus richness estimation. These results allow us to reason methodological choices in phytovirome studies and likely in other virome studies where RNA viruses are the focal taxa. IMPORTANCE There are today significant knowledge gaps on phytovirus populations and on the drivers impacting them but also on the comparative performance-methodological approaches for their study. We used and compared two viral sequence enrichment approaches, double-stranded RNAs (dsRNA) and virion-associated nucleic acids (VANA), for phytovirome description in complex pools representative of the most prevalent plant species in unmanaged and cultivated ecosystems. Viral richness was assessed by determining operational taxonomic units (OTU) following the clustering of conserved viral domains. There is some limited evidence of an impact of cultivation on viral populations. These results provide data allowing us to reason the methodological choices in virome studies. For researchers primarily interested in RNA viruses, the dsRNA approach is recommended because it consistently provided a more comprehensive description of the analyzed phytoviromes, but it understandably underrepresented DNA viruses and bacteriophages.