title: Modeling the Morphometric Evolution of the Maize Shoot Apical Meristem.
abstract: The maize (Zea mayssubsp.maysL.) shoot apical meristem (SAM) is a self-replenishing pool of stem cells that produces all above-ground plant tissues. Improvements in image acquisition and processing techniques have allowed high-throughput, quantitative genetic analyses of SAM morphology. As with other large-scale phenotyping efforts, meaningful descriptions of genetic architecture depend on the collection of relevant measures. In this study, we tested two quantitative image processing methods to describe SAM morphology within the genusZea, represented by 33 wild relatives of maize and 841 lines from a domesticated maize by wild teosinte progenitor (MxT) backcross population, along with previously reported data from several hundred diverse maize inbred lines. Approximating the MxT SAM as a paraboloid derived eight parabolic estimators of SAM morphology that identified highly overlapping quantitative trait loci (QTL) on eight chromosomes, which implicated previously identified SAM morphology candidate genes along with new QTL for SAM morphological variation. Using a Fourier-transform related method of comprehensive shape analysis, we detected cryptic SAM shape variation that identified QTL on six chromosomes. We found that Fourier transform shape descriptors and parabolic estimation measures are highly correlated and identified similar QTL. Analysis of shoot apex contours from 73 anciently diverged plant taxa further suggested that parabolic shape may be a universal feature of plant SAMs, regardless of evolutionary clade. Future high-throughput examinations of SAM morphology may benefit from the ease of acquisition and phenotypic fidelity of modeling the SAM as a paraboloid.
authors.affiliation: Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca NY, USA.
authors.forename: Samuel
authors.initials: S
authors.lastname: Leiboff
authors.affiliation: Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca NY, USA.
authors.forename: Christopher K
authors.initials: CK
authors.lastname: DeAllie
authors.affiliation: Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca NY, USA.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Scanlon
keywords: Zea; discrete cosine transform; image analysis; morphometrics; quantitative trait loci (QTL)