Imagine if we could compute across phenotype data as easily as genomic data; this article calls for efforts to realize this vision and discusses the potential benefits.

Medicinal plants have been used worldwide for centuries to maintain health and to treat diseases, more so chronic diseases. However, adulteration and use of spurious materials as substitutes have become a major concern for users and industry for reasons of safety and efficacy. Therefore, authentication of medicinal plants is of utmost importance. Morphological, anatomical, chemical and DNA markers solve the problem by differentiating the genuine material from the adulterants, substitutes and spurious drugs. DNA markers use nucleotide sequences to identify species; it takes preference over the other two markers being not age dependent, tissue specific and having a higher discriminating power. Therefore, characterization of plants with such markers is an ideal approach for identification of medicinal plant species and populations/varieties of the same species. Availability of certified taxonomic specimens in herbaria is certainly required for unambiguous confirmation through final visual comparison and analysis.

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MicroRNAs (miRNAs) are important regulators of gene expression in multicellular organisms. Yet, little is known about their molecular evolution. The 20- to 22-nt long miRNAs are processed in plants from foldbacks that are a few hundred base pairs in size. Often, these foldbacks are embedded in much larger precursor transcripts. To investigate functional constraints on sequence evolution of miRNA precursor genes, we have studied sequence variation in the precursor of miR319a, MIR319a, between species from the Brassicaceae. We compared the genomic context in Arabidopsis thaliana, Arabidopsis halleri, and Capsella rubella, using bacterial artificial chromosome clones, and analyzed precursor sequences obtained by polymerase chain reaction from 13 additional species. Phylogenetic shadowing identifies a conserved motif around the transcription start site, which we demonstrate to be functionally important. We further assessed the functionality of MIR319a orthologs from several Brassicaceae species in A. thaliana. The ortholog from kale (Brassica oleracea var. acephala) was found to be largely inactive, at least partially due to mutations in the miRNA itself, but experimental evidence suggests that loss of miR319a function is compensated by other members of the miR319 family. More broadly, we find that the foldback diverges less rapidly than the remainder of the primary transcript. To understand the molecular evolution of miRNA genes, investigations at different levels of phylogenetic divergence are required.

Capsella rubella is an inbreeding annual forb closely related to Arabidopsis thaliana, a model species widely used for studying natural variation in adaptive traits such as flowering time. Although mutations in dozens of genes can affect flowering of A. thaliana in the laboratory, only a handful of such genes vary in natural populations. Chief among these are FRIGIDA (FRI) and FLOWERING LOCUS C (FLC). Common and rare FRI mutations along with rare FLC mutations explain a large fraction of flowering-time variation in A. thaliana. Here we document flowering time under different conditions in 20 C. rubella accessions from across the species’ range. Similar to A. thaliana, vernalization, long photoperiods and elevated ambient temperature generally promote flowering. In this collection of C. rubella accessions, we did not find any obvious loss-of-function FRI alleles. Using mapping-by-sequencing with two strains that have contrasting flowering behaviors, we identified a splice-site mutation in FLC as the likely cause of early flowering in accession 1408. However, other similarly early C. rubella accessions did not share this mutation. We conclude that the genetic basis of flowering-time variation in C. rubella is complex, despite this very young species having undergone an extreme genetic bottleneck when it split from C. grandiflora a few tens of thousands of years ago.