Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A genetic link between leaf carbon isotope composition and whole-plant water use efficiency in the C4 grass Setaria

View ORCID ProfilePatrick Z. Ellsworth, View ORCID ProfileMax J. Feldman, View ORCID ProfileIvan Baxter, View ORCID ProfileAsaph B. Cousins
doi: https://doi.org/10.1101/285676
Patrick Z. Ellsworth
1School of Biological Sciences, Washington State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Patrick Z. Ellsworth
Max J. Feldman
2Donald Danforth Plant Sciences Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Max J. Feldman
Ivan Baxter
2Donald Danforth Plant Sciences Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ivan Baxter
Asaph B. Cousins
1School of Biological Sciences, Washington State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Asaph B. Cousins
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Summary

  • Genetic selection for whole plant water use efficiency (yield per transpiration; WUEplant) in any crop-breeding program requires high throughput phenotyping of component traits of WUEplant such as transpiration efficiency (TEi; CO2 assimilation rate per stomatal conductance). Leaf carbon stable isotope composition (δ13Cleaf) has been suggested as a potential proxy for WUEplant because both parameters are influenced by TEi. However, a genetic link between δ13Cleaf and WUEplant in a C4 species is still not well understood.

  • Therefore, a high throughput phenotyping facility was used to measure WUEplant in a recombinant inbred line (RIL) population of the C4 grasses Setaria viridis and S. italica to determine the genetic relationship between δ13Cleaf, WUEplant, and TEi under well-watered and water-limited growth conditions.

  • Three quantitative trait loci (QTL) for δ13Cleaf were found to co-localize with transpiration, biomass accumulation, and WUEplant. WUEplant calculated for each of the three δ13Cleaf allele classes was negatively correlated with δ13Cleaf as would be predicted when TEi is driving WUEplant.

  • These results demonstrate that δ13Cleaf is genetically linked to WUEplant through TEi and can be used as a high throughput proxy to screen for WUEplant in these C4 species.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted March 05, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A genetic link between leaf carbon isotope composition and whole-plant water use efficiency in the C4 grass Setaria
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A genetic link between leaf carbon isotope composition and whole-plant water use efficiency in the C4 grass Setaria
Patrick Z. Ellsworth, Max J. Feldman, Ivan Baxter, Asaph B. Cousins
bioRxiv 285676; doi: https://doi.org/10.1101/285676
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A genetic link between leaf carbon isotope composition and whole-plant water use efficiency in the C4 grass Setaria
Patrick Z. Ellsworth, Max J. Feldman, Ivan Baxter, Asaph B. Cousins
bioRxiv 285676; doi: https://doi.org/10.1101/285676

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Plant Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4654)
  • Biochemistry (10300)
  • Bioengineering (7615)
  • Bioinformatics (26192)
  • Biophysics (13450)
  • Cancer Biology (10620)
  • Cell Biology (15345)
  • Clinical Trials (138)
  • Developmental Biology (8453)
  • Ecology (12755)
  • Epidemiology (2067)
  • Evolutionary Biology (16765)
  • Genetics (11356)
  • Genomics (15400)
  • Immunology (10548)
  • Microbiology (25044)
  • Molecular Biology (10152)
  • Neuroscience (54101)
  • Paleontology (398)
  • Pathology (1655)
  • Pharmacology and Toxicology (2877)
  • Physiology (4314)
  • Plant Biology (9201)
  • Scientific Communication and Education (1581)
  • Synthetic Biology (2541)
  • Systems Biology (6752)
  • Zoology (1452)