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Title: Dynamic Environmental Photosynthetic Imaging Reveals Emergent Phenotypes

Abstract

Understanding and improving the productivity and robustness of plant photosynthesis requires high-throughput phenotyping under environmental conditions that are relevant to the field. Here we demonstrate the dynamic environmental photosynthesis imager (DEPI), an experimental platform for integrated, continuous, and high-throughput measurements of photosynthetic parameters during plant growth under reproducible yet dynamic environmental conditions. Using parallel imagers obviates the need to move plants or sensors, reducing artifacts and allowing simultaneous measurement on large numbers of plants. As a result, DEPI can reveal phenotypes that are not evident under standard laboratory conditions but emerge under progressively more dynamic illumination. We show examples in mutants of Arabidopsis of such “emergent phenotypes” that are highly transient and heterogeneous, appearing in different leaves under different conditions and depending in complex ways on both environmental conditions and plant developmental age. Finally, these emergent phenotypes appear to be caused by a range of phenomena, suggesting that such previously unseen processes are critical for plant responses to dynamic environments.

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Michigan State Univ., East Lansing, MI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1325328
Alternate Identifier(s):
OSTI ID: 1437168
Grant/Contract Number:  
FG02-91ER20021
Resource Type:
Published Article
Journal Name:
Cell Systems
Additional Journal Information:
Journal Name: Cell Systems Journal Volume: 2 Journal Issue: 6; Journal ID: ISSN 2405-4712
Publisher:
Elsevier
Country of Publication:
Niger
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; abiotic stress; chlorophyll fluorescence; biotic stress; imaging; phenometrics; phenomics; photosynthesis

Citation Formats

Cruz, Jeffrey A., Savage, Linda J., Zegarac, Robert, Hall, Christopher C., Satoh-Cruz, Mio, Davis, Geoffry A., Kovac, William Kent, Chen, Jin, and Kramer, David M. Dynamic Environmental Photosynthetic Imaging Reveals Emergent Phenotypes. Niger: N. p., 2016. Web. doi:10.1016/j.cels.2016.06.001.
Cruz, Jeffrey A., Savage, Linda J., Zegarac, Robert, Hall, Christopher C., Satoh-Cruz, Mio, Davis, Geoffry A., Kovac, William Kent, Chen, Jin, & Kramer, David M. Dynamic Environmental Photosynthetic Imaging Reveals Emergent Phenotypes. Niger. doi:10.1016/j.cels.2016.06.001.
Cruz, Jeffrey A., Savage, Linda J., Zegarac, Robert, Hall, Christopher C., Satoh-Cruz, Mio, Davis, Geoffry A., Kovac, William Kent, Chen, Jin, and Kramer, David M. Wed . "Dynamic Environmental Photosynthetic Imaging Reveals Emergent Phenotypes". Niger. doi:10.1016/j.cels.2016.06.001.
@article{osti_1325328,
title = {Dynamic Environmental Photosynthetic Imaging Reveals Emergent Phenotypes},
author = {Cruz, Jeffrey A. and Savage, Linda J. and Zegarac, Robert and Hall, Christopher C. and Satoh-Cruz, Mio and Davis, Geoffry A. and Kovac, William Kent and Chen, Jin and Kramer, David M.},
abstractNote = {Understanding and improving the productivity and robustness of plant photosynthesis requires high-throughput phenotyping under environmental conditions that are relevant to the field. Here we demonstrate the dynamic environmental photosynthesis imager (DEPI), an experimental platform for integrated, continuous, and high-throughput measurements of photosynthetic parameters during plant growth under reproducible yet dynamic environmental conditions. Using parallel imagers obviates the need to move plants or sensors, reducing artifacts and allowing simultaneous measurement on large numbers of plants. As a result, DEPI can reveal phenotypes that are not evident under standard laboratory conditions but emerge under progressively more dynamic illumination. We show examples in mutants of Arabidopsis of such “emergent phenotypes” that are highly transient and heterogeneous, appearing in different leaves under different conditions and depending in complex ways on both environmental conditions and plant developmental age. Finally, these emergent phenotypes appear to be caused by a range of phenomena, suggesting that such previously unseen processes are critical for plant responses to dynamic environments.},
doi = {10.1016/j.cels.2016.06.001},
journal = {Cell Systems},
number = 6,
volume = 2,
place = {Niger},
year = {2016},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.cels.2016.06.001

Citation Metrics:
Cited by: 23 works
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Works referencing / citing this record:

MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
journal, October 2016

  • Kuhlgert, Sebastian; Austic, Greg; Zegarac, Robert
  • Royal Society Open Science, Vol. 3, Issue 10
  • DOI: 10.1098/rsos.160592

Evolution in temperature-dependent phytoplankton traits revealed from a sediment archive: do reaction norms tell the whole story?
journal, October 2017

  • Hinners, Jana; Kremp, Anke; Hense, Inga
  • Proceedings of the Royal Society B: Biological Sciences, Vol. 284, Issue 1864
  • DOI: 10.1098/rspb.2017.1888

Identifying emerging phenomenon in long temporal phenotyping experiments
journal, July 2019


MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
journal, October 2016

  • Kuhlgert, Sebastian; Austic, Greg; Zegarac, Robert
  • Royal Society Open Science, Vol. 3, Issue 10
  • DOI: 10.1098/rsos.160592

Evolution in temperature-dependent phytoplankton traits revealed from a sediment archive: do reaction norms tell the whole story?
journal, October 2017

  • Hinners, Jana; Kremp, Anke; Hense, Inga
  • Proceedings of the Royal Society B: Biological Sciences, Vol. 284, Issue 1864
  • DOI: 10.1098/rspb.2017.1888