- The Broad Spectrum Species: Plant Use and Processing as Deep Time Adaptations. Hundreds of plant species, many now forgotten, show up in archaeological assemblages stretching back tens of thousands of years. Exploiting an astonishing diversity of plants was a fundamental human adaptation long before agriculture. And the data was kinda always there.
- Evaluating cultivars for pollinator gardens. Some ornamental cultivars attract more pollinators than the wild plants they were bred from. The relationship between genetic modification through breeding and ecological function is not always straightforward. And I now want to see the descriptor “pollinator attractiveness” in evaluation datasets.
- Chemotypic Diversity and Integrated Metabolic Profiling of Myrtle (Myrtus communis L.) from Mediterranean Turkey. Dozens of different chemical compounds vary dramatically among individual myrtle plants that look much the same to the naked eye.
- Essential oil composition and ethnobotanical survey of male and female Juniperus seravschanica Kom. (Cupressaceae) in Iran. Traditional knowledge and chemical profiling show that juniper male shoots, female shoots and cones each produce distinct blends of essential oils, exposing a surprising layer of sex-linked diversity within a single species.
- Earth Metabolome and Digital Botanical Gardens Initiatives: Chemodiversity Knowledge for Biodiversity Conservation. Millions of plant-produced molecules remain undocumented, forming an invisible dimension of biodiversity. We need global digital infrastructures to catalogue this vast reservoir of chemodiversity before it disappears. Of course we do.
- Herbaria Provide a Valuable Resource for Obtaining Informative mRNA. Decades-old herbarium specimens still contain usable messenger RNA, opening the door to studying historical patterns of gene expression from preserved plant collections.
- The Politics of Open Infrastructures: Power, Governance, and Justice in Digital Knowledge Practices. Data infrastructures may be open, but control over them often is not. And that probably goes even more for the unusual sorts of data represented by the above papers than for the crop diversity data we normally deal with here.