4.6 Article

Phenomics for photosynthesis, growth and reflectance in Arabidopsis thaliana reveals circadian and long-term fluctuations in heritability

期刊

PLANT METHODS
卷 12, 期 -, 页码 -

出版社

BIOMED CENTRAL LTD
DOI: 10.1186/s13007-016-0113-y

关键词

Photosynthesis; Phenomics; Chlorophyll fluorescence; Heritability; High throughput screening; Natural variation; Arabidopsis thaliana

资金

  1. Netherlands Organisation for Scientific Research (NWO)
  2. Dutch Technology Foundation STW
  3. NWO
  4. Ministry of Economic Affairs
  5. DROught-tolerant yielding PlantS (DROPS) project
  6. European Community's Seventh Framework Programme (FP7) [244374]

向作者/读者索取更多资源

Background: Recent advances in genome sequencing technologies have shifted the research bottleneck in plant sciences from genotyping to phenotyping. This shift has driven the development of phenomics, high-throughput non-invasive phenotyping technologies. Results: We describe an automated high-throughput phenotyping platform, the Phenovator, capable of screening 1440 Arabidopsis plants multiple times per day for photosynthesis, growth and spectral reflectance at eight wavelengths. Using this unprecedented phenotyping capacity, we have been able to detect significant genetic differences between Arabidopsis accessions for all traits measured, across both temporal and environmental scales. The high frequency of measurement allowed us to observe that heritability was not only trait specific, but for some traits was also time specific. Conclusions: Such continuous real-time non-destructive phenotyping will allow detailed genetic and physiological investigations of the kinetics of plant homeostasis and development. The success and ultimate outcome of a breeding program will depend greatly on the genetic variance which is sampled. Our observation of temporal fluctuations in trait heritability shows that the moment of measurement can have lasting consequences. Ultimately such phenomic level technologies will provide more dynamic insights into plant physiology, and the necessary data for the omics revolution to reach its full potential.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据