Using RNA-seq to characterize pollen-stigma interactions for pollination studies.

ABSTRACT: Insects are essential for the reproduction of pollinator-dependent crops and contribute to the pollination of 87% of wild plants and 75% of the world's food crops. Understanding pollen flow dynamics between plants and pollinators is thus essential to manage and conserve wild plants and ensure yields are maximized in food crops. However, the determination of pollen transfer in the field is complex and laborious. We developed a field experiment in a pollinator-dependent crop and used high throughput RNA sequencing (RNA-seq) to quantify pollen flow by measuring changes in gene expression between pollination treatments across different apple (Malus domestica Borkh.) cultivars. We tested three potential molecular indicators of successful pollination and validated these results with field data b

SUBMITTER: Lobaton J 

PROVIDER: S-EPMC7988043 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature