title: Skewing in Arabidopsis roots involves disparate environmental signaling pathways.
abstract: Skewing root patterns provide key insights into root growth strategies and mechanisms that produce root architectures. Roots exhibit skewing and waving when grown on a tilted, impenetrable surface. The genetics guiding these morphologies have been examined, revealing that some Arabidopsis ecotypes skew and wave (e.g. WS), while others skew insignificantly but still wave (e.g. Col-0). The underlying molecular mechanisms of skewing and waving remain unclear. In this study, transcriptome data were derived from two Arabidopsis ecotypes, WS and Col-0, under three tilted growth conditions in order to identify candidate genes involved in skewing.
  
  
  
  This work identifies a number of genes that are likely involved in skewing, using growth conditions that differentially affect skewing and waving. Comparing the gene expression profiles of WS and Col-0 in different tilted growth conditions identified 11 candidate genes as potentially involved in the control of skewing. These 11 genes are involved in several different cellular processes, including sugar transport, salt signaling, cell wall organization, and hormone signaling.
  
  
  
  This study identified 11 genes whose change in expression level is associated with root skewing behavior. These genes are involved in signaling and perception, rather than the physical restructuring of root. Future work is needed to elucidate the potential role of these candidate genes during root skewing.
authors.affiliation: Department of Horticultural Sciences, Program in Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, 32611, USA.|Present address: Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA.
authors.forename: Eric R
authors.initials: ER
authors.lastname: Schultz
authors.affiliation: Department of Horticultural Sciences, Program in Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, 32611, USA.
authors.forename: Agata K
authors.initials: AK
authors.lastname: Zupanska
authors.affiliation: Department of Horticultural Sciences, Program in Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, 32611, USA.
authors.forename: Natasha J
authors.initials: NJ
authors.lastname: Sng
authors.affiliation: Department of Horticultural Sciences, Program in Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, 32611, USA.
authors.forename: Anna-Lisa
authors.initials: AL
authors.lastname: Paul
authors.affiliation: Department of Horticultural Sciences, Program in Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, 32611, USA. robferl@ufl.edu.|Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, 32610, USA. robferl@ufl.edu.
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Ferl
mesh_terms: D017360:Arabidopsis / Q000235:genetics / Q000378:metabolism / Q000502:physiology*; D029681:Arabidopsis Proteins / Q000235:genetics* / Q000378:metabolism; D060146:Ecotype; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D018517:Plant Roots / Q000235:genetics / Q000254:growth & development* / Q000378:metabolism*; D015398:Signal Transduction
chemical_list: D029681:Arabidopsis Proteins
keywords: Arabidopsis thaliana; Microarray; Morphometrics; Root skewing; Root waving; Transcriptomics