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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Related Experiment Video

Updated: Nov 11, 2025

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

Juan Lobaton1,2, Rose Andrew3, Jorge Duitama4

  • 1School of Environmental and Rural Science, University of New England, Armidale, Australia. jdlgarces@gmail.com.

Scientific Reports
|March 24, 2021
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Summary
This summary is machine-generated.

Researchers used RNA sequencing to track pollen flow in apple crops, identifying gene expression changes and genetic markers as indicators of successful pollination. This method, combined with bee visit data, helps assess pollination effectiveness for better crop yields.

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Area of Science:

  • Pollination Ecology
  • Agricultural Science
  • Molecular Biology

Background:

  • Insects are crucial for pollinating 75% of global food crops and 87% of wild plants.
  • Accurate assessment of pollen flow is vital for crop yield and plant conservation.
  • Traditional methods for determining pollen transfer are labor-intensive and complex.

Purpose of the Study:

  • To develop and validate a molecular method for quantifying pollen flow in pollinator-dependent crops.
  • To identify molecular indicators of successful pollination and outcrossing.
  • To correlate pollinator visits with pollination success and fruit set in apple orchards.

Main Methods:

  • Utilized high-throughput RNA sequencing (RNA-seq) to analyze gene expression changes in apple flowers post-pollination.
  • Measured differential gene expression in cross-pollination treatments at 6, 24, and 48 hours.
  • Employed genotyping to detect specific donor pollen variants in recipient tissues.
  • Observed honey bee (Apis mellifera) visits and measured fruit set in a commercial apple orchard.

Main Results:

  • Differential gene expression in apple flowers served as an early indicator of successful outcrossing within 6 hours.
  • Specific gene expression patterns related to pollen tube growth and defense responses were identified.
  • Genotyping confirmed successful pollen transfer in cross-pollination treatments.
  • At least 10 honey bee visits were required for a 25% probability of fruit set in orchard conditions.

Conclusions:

  • RNA sequencing provides a powerful tool to analyze in vivo pollen-stigma-style interactions over time.
  • Combining molecular data with field observations offers a comprehensive evaluation of pollination effectiveness.
  • This approach can aid in managing pollinators and optimizing yields for crucial food crops.