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

Shared genetic architecture underlying root metaxylem phenotypes under drought stress in cereals

Stephanie P. Klein, Jenna E. Reeger, View ORCID ProfileShawn M. Kaeppler, View ORCID ProfileKathleen M. Brown, View ORCID ProfileJonathan P. Lynch
doi: https://doi.org/10.1101/2020.11.02.365247
Stephanie P. Klein
1Department of Plant Science, The Pennsylvania State University, University Park, PA 16802, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jenna E. Reeger
1Department of Plant Science, The Pennsylvania State University, University Park, PA 16802, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shawn M. Kaeppler
2Department of Agronomy, University of Wisconsin, Madison, WI 53706, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Shawn M. Kaeppler
Kathleen M. Brown
1Department of Plant Science, The Pennsylvania State University, University Park, PA 16802, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kathleen M. Brown
Jonathan P. Lynch
1Department of Plant Science, The Pennsylvania State University, University Park, PA 16802, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jonathan P. Lynch
  • For correspondence: jpl4@psu.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Root metaxylem are phenotypically diverse structures whose function is related to their anatomy, particularly under drought stress. Much research has dissected the genetic machinery underlying metaxylem phenotypes in dicots, but monocots are relatively unexplored. In maize (Zea mays), a robust pipeline integrated a GWAS of root metaxylem phenes under well-watered and water stress conditions with a gene co-expression network to identify candidate genes most likely to impact metaxylem phenotypes. We identified several promising candidate genes in 14 gene co-expression modules inferred to be functionally relevant to xylem development. We also identified five gene candidates that co-localized in multiple root metaxylem phenes in both well-watered and water stress conditions. Using a rice GWAS conducted in parallel, we detected overlapping genetic architecture influencing root metaxylem phenotypes by identifying eight pairs of syntenic candidate genes significantly associated with metaxylem phenes. There is evidence that the genes of these syntenic pairs may be involved in biosynthetic processes related to the cell wall, hormone signaling, oxidative stress responses, and drought responses. Our study demonstrates a powerful new strategy for identifying promising gene candidates and suggests several gene candidates that may enhance our understanding of vascular development and responses to drought in cereals.

One sentence summary Cross-species genome-wide association studies and a gene coexpression network identified genes associated with root metaxylem phenotypes in maize under water stress and non-stress and rice.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • spk185{at}psu.edu, jer302{at}psu.edu, smkaeppl{at}wisc.edu, kbe{at}psu.edu

  • Supplementary data included.

  • Abbreviations

    ABA
    abscisic acid
    BN
    bottleneck gene
    BN/HUB
    bottleneck and hub gene
    GWAS
    genome-wide association study
    HUB
    hub gene
    SNP
    single nucleotide polymorphism
    WS
    water stress
    WW
    well-watered
  • 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-NC-ND 4.0 International license.
    Back to top
    PreviousNext
    Posted November 04, 2020.
    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.
    Shared genetic architecture underlying root metaxylem phenotypes under drought stress in cereals
    (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
    Shared genetic architecture underlying root metaxylem phenotypes under drought stress in cereals
    Stephanie P. Klein, Jenna E. Reeger, Shawn M. Kaeppler, Kathleen M. Brown, Jonathan P. Lynch
    bioRxiv 2020.11.02.365247; doi: https://doi.org/10.1101/2020.11.02.365247
    Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
    Citation Tools
    Shared genetic architecture underlying root metaxylem phenotypes under drought stress in cereals
    Stephanie P. Klein, Jenna E. Reeger, Shawn M. Kaeppler, Kathleen M. Brown, Jonathan P. Lynch
    bioRxiv 2020.11.02.365247; doi: https://doi.org/10.1101/2020.11.02.365247

    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 (4222)
    • Biochemistry (9096)
    • Bioengineering (6744)
    • Bioinformatics (23927)
    • Biophysics (12077)
    • Cancer Biology (9485)
    • Cell Biology (13722)
    • Clinical Trials (138)
    • Developmental Biology (7614)
    • Ecology (11652)
    • Epidemiology (2066)
    • Evolutionary Biology (15469)
    • Genetics (10613)
    • Genomics (14289)
    • Immunology (9453)
    • Microbiology (22759)
    • Molecular Biology (9057)
    • Neuroscience (48818)
    • Paleontology (354)
    • Pathology (1479)
    • Pharmacology and Toxicology (2560)
    • Physiology (3820)
    • Plant Biology (8307)
    • Scientific Communication and Education (1467)
    • Synthetic Biology (2285)
    • Systems Biology (6168)
    • Zoology (1297)