| Abstract Detail
Anatomy and Morphology Hodge, John [1], Li, Qing [2], Doust, Andrew [3]. Reconstructing the engine of ontogeny: Evidence for hierarchical function-value traits governing developmental processes. Function-value traits have been proven in several studies to provide key insights into developmental processes. These traits can be used to study of evolutionary and genetic phenomena by fitting static measures to growth curves across development. However, due to the large number of measures required for function-value trait modeling, this methodology has been limited to studying traits that are relatively simple to score, such as height or biomass. High throughput phenomics methods can provide a solution in this regard, by enabling researchers to rapidly extract a large amounts of morphological information, which can be used for scoring traits over time. We have used such an approach with our pseudo-landmarking method, Acute, where we were able to screen the relative location of informative positions in a plant’s body through time, and model various vegetative features as function-value traits related to stem height, canopy architecture, and vegetative branching. This was conducted using exemplars of various morphotypes from an existing recombinant inbred mapping population resulting from a Setaria italica (foxtail millet) x Setaria viridis (green millet) cross. In performing this function-value trait modeling at the individual organ level, it was discovered that the parameters underlying individual models of growth can themselves be regressed into a second order of function-values which appear to describe deeper developmental processes underlying ontogenies that varied in a genotype dependent manner. This hierarchical approach to function-value trait modeling has the added advantage of closely approximating real world data while greatly reducing the overall number of parameters required to describe that data, potentially providing a new avenue to explore developmental biology within this field.
1 - Oklahoma State University, Plant Biology, Ecology, And Evolution, 301 Physical Science, Stillwater, OK, 74078, United States
2 - Oklahoma State University, 301 Physical Science, Stillwater, Oklahoma, 74078, United States
3 - Oklahoma State University, Plant Biology, Ecology And Evolution, Physical Sciences Room 301, Stillwater, OK, 74078, United States
Keywords:
phenomics
function-value traits
development
modeling
Setaria.
Presentation Type: Oral Paper
Session: AM1, Anatomy and Morphology
Location: Virtual/Virtual
Date: Wednesday, July 29th, 2020
Time: 10:15 AM
Number: AM1002
Abstract ID:556
Candidate for Awards:Katherine Esau Award |
