4.6 Article

Contrasting effects of yeasts and bacteria on floral nectar traits

期刊

ANNALS OF BOTANY
卷 121, 期 7, 页码 1343-1349

出版社

OXFORD UNIV PRESS
DOI: 10.1093/aob/mcy032

关键词

Flower longevity; flower microbiome; host-microbe; Mimulus aurantiacus; nectar chemistry; plant defence; plant-pollinator

资金

  1. NSF [DEB 1149600, DEB 1737758]
  2. Terman Fellowship at Stanford University
  3. Department of Biology at Stanford University
  4. Gordon and Betty Moore Foundation through the Life Sciences Research Fellowship [GBMF 2550.02]
  5. USDA Hatch award [NE1501]

向作者/读者索取更多资源

Background and Aims Flowers can be highly variable in nectar volume and chemical composition, even within the same plant, but the causes of this variation are not fully understood. One potential cause is nectar-colonizing bacteria and yeasts, but experimental tests isolating their effects on wildflowers are largely lacking. This study examines the effects of dominant species of yeasts and bacteria on the hummingbird-pollinated shrub, Mimulus aurantiacus, in California. Methods Wildflowers were inoculated with field-relevant titres of either the yeast Metschnikowia reukaufii or the bacterium Neokomagataea sp. (formerly Gluconobacter sp.), both isolated from M. aurantiacus nectar. Newly opened flowers were bagged, inoculated, harvested after 3 d and analysed for microbial abundance, nectar volume, and sugar and amino acid concentration and composition. Key Results Yeast inoculation reduced amino acid concentration and altered amino acid composition, but had no significant effect on nectar volume or sugar composition. In contrast, bacterial inoculation increased amino acid concentration, enhanced the proportion of nectar sugars comprised by monosaccharides, and reduced nectar volume. Conclusions The results presented suggest that microbial inhabitants of floral nectar can make nectar characteristics variable among flowers through divergent effects of yeasts and bacteria on nectar chemistry and availability, probably modifying plant-pollinator interactions.

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