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Abstract The inversion of C3 stereochemistry in monoterpenoid indole alkaloids (MIAs), derived from the central precursor strictosidine (3S), is essential for synthesizing numerous 3RMIAs and oxindoles, including the antihypertensive drug reserpine found inRauvolfia serpentina(Indian snakeroot) andRauvolfia tetraphylla(devil pepper) of the plant family Apocynaceae. MIA biosynthesis begins with the reduction of strictosidine aglycone by various reductases, preserving the initial 3Sstereochemistry. In this study, we identify and biochemically characterize a conserved oxidase-reductase pair from the Apocynaceae, Rubiaceae, and Gelsemiaceae families of the order Gentianales: the heteroyohimbine/yohimbine/corynanthe C3-oxidase (HYC3O) and C3-reductase (HYC3R). These enzymes collaboratively invert the 3Sstereochemistry to 3Racross a range of substrates, resolving the long-standing question about the origin of 3RMIAs and oxindole derivatives, and facilitation of reserpine biosynthesis. Notably,HYC3OandHYC3Rare located within gene clusters in both theR. tetraphyllaandCatharanthus roseus(Madagascar periwinkle) genomes, which are partially homologous to an elusive geissoschizine synthase (GS) gene cluster we also identified in these species. InR. tetraphylla, these clusters occur closely in tandem on a single chromosome, likely stemming from a single segmental duplication event, while inC. roseus, a closely related member of rauvolfioid Apocynaceae, they were later separated by a chromosomal translocation. The ancestral genomic context for both clusters can be traced all the way back to common ancestry with grapevine. Given the presence of syntenic GS homologs inMitragyna speciosa(Rubiaceae), the GS cluster, at least in part, probably evolved at the base of the Gentianales, which split from other core eudicots up to 135 million years ago. We also show that the strictosidine biosynthetic gene cluster, required to initiate the MIA pathway, plausibly evolved concurrently. The reserpine biosynthetic cluster likely arose much later in the rauvolfioid lineage of Apocynaceae. Collectively, our work uncovers the genomic and biochemical basis for key events in MIA evolution and diversification, providing insights beyond the well-characterized vinblastine and ajmaline biosynthetic pathways. 

Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software.   The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files.  SDTL also has potential for auditing scripts and for translating scripts between languages.  SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats.  Statistical software languages have a number of special features that have been carried into SDTL.  We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”. 

Abstract Climate change models often assume similar responses to temperatures across the range of a species, but local adaptation or phenotypic plasticity can lead plants and animals to respond differently to temperature in different parts of their range. To date, there have been few tests of this assumption at the scale of continents, so it is unclear if this is a large‐scale problem. Here, we examined the assumption that insect taxa show similar responses to temperature at 96 sites in grassy habitats across North America. We sampled insects with Malaise traps during 2019–2021 (N = 1041 samples) and examined the biomass of insects in relation to temperature and time of season. Our samples mostly contained Diptera (33%), Lepidoptera (19%), Hymenoptera (18%), and Coleoptera (10%). We found strong regional differences in the phenology of insects and their response to temperature, even within the same taxonomic group, habitat type, and time of season. For example, the biomass of nematoceran flies increased across the season in the central part of the continent, but it only showed a small increase in the Northeast and a seasonal decline in the Southeast and West. At a smaller scale, insect biomass at different traps operating on the same days was correlated up to ~75 km apart. Large‐scale geographic and phenological variation in insect biomass and abundance has not been studied well, and it is a major source of controversy in previous analyses of insect declines that have aggregated studies from different locations and time periods. Our study illustrates that large‐scale predictions about changes in insect populations, and their causes, will need to incorporate regional and taxonomic differences in the response to temperature.