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Research integrates citizen science photos and controlled experiments to study switchgrass flowering adaptation

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Study Reveals Surprising Genetic Mechanism Behind Switchgrass Flowering Times

A groundbreaking study led by Iowa State University has uncovered a complex genetic mechanism controlling flowering times in switchgrass, revealing a surprising contradiction between field observations and experimental results.

> "Combining citizen science with designed experiments reveals mechanisms of adaptation across spatiotemporal scales." – Study Authors

Key Findings

  • A research team led by Iowa State University combined publicly sourced photos from iNaturalist with controlled experiments to study switchgrass flowering adaptation.
  • Analysis of nearly 44,000 photos of warm-season grasses showed flowering occurs earlier in northern latitudes in native habitats.
  • In controlled experiments, switchgrass samples flowered later when moved northward, contradicting the field observations.
  • The team identified three genetic haplotypes associated with flowering time: H1 (Gulf Coast), H2 (Midwest), and a third variant. H1 flowers later and is less temperature-sensitive, while H2 flowers earlier and is more responsive to late April/early May temperatures.
  • The adaptation explains that earlier flowering in the north helps avoid autumn cold, while later flowering in the south avoids summer heat.

Methodology

  • An AI tool screened 44,000 photos from iNaturalist, yielding 5,000 observations of flowering grasses.
  • Researchers grew genetic mapping populations and a diversity panel of switchgrass at 10 research gardens over two years.
  • Molecular characterization identified the three-gene network controlling flowering time.

Statements

Jianming Yu, professor at Iowa State University, said the study bridges quantitative genetics with ecology and evolution, allowing a comprehensive view.

Yu noted that ignoring citizen science data in favor of experimental results is not appropriate; the two should be integrated.

"Ignoring citizen science data in favor of experimental results is not appropriate; the two should be integrated." – Jianming Yu, Iowa State University