GigaScience Database

Summary \------- Leaf shape among Passiflora species is spectacularly diverse. Underlying this diversity in leaf shape are profound changes in the patterning of the primary vasculature and laminar outgrowth. Each of these aspects of leaf morphology—vasculature and blade—provides different insights into leaf patterning. Here, we morphometrically analyze >3,300 leaves from 40 different Passiflora species collected sequentially across the vine. Each leaf is measured in two different ways: using 1) 15 homologous Procrustes-adjusted landmarks of the vasculature, sinuses, and lobes and 2) Elliptical Fourier Descriptors (EFDs), which quantify the outline of the leaf. Files \----- The 555 high-resolution scans in this dataset contain shape information for >3,300 leaves of 40 different Passiflora species. The order of leaves from the vine has been recorded as well. Each scan is a .tif file slightly over 100MB in size. all_scans.tar.gz - is the compressed archive of all individual scans held in this dataset, provided for ease of download. Leaf_outlines.zip - is the individual binary .jpg files of each individual leaf analyzed. The name of each file contains the relevant identification information for the species of Passiflora scanned and the order of the leaves from the vine. The information in the file names includes 1) species/plant and 2) leaf order from the vine. Species abbreviations : Pact = P. actinia; Pala = P. alata; Pame = P. amethystina; Pbif = P. biflora; Pcae = P. caerulea; Pcap = P. capsularis; Pcin = P. cincinnata; Pcoc = P. coccinea; Pcor = P. coriacea; Pcri = P. cristalina; Pedm = P. edmundoi; Pedu = P. edulis; Pfoe = P. foetida (P. foetida is represented by two abbreviations); Pfii = P. foetida (P. foetida is represented by two abbreviations); Pgal = P. galbana; Pgib = P. gibertii; Pgra = P. gracilis; Phat = P. hatschbachii; Pker = P. kermesina; Plig = P. ligularis; Pmaf = P. maliformis; Pmal = P. malacophylla; Pmic = P. micropetala; Pmie = P. miersii; Pmin = P. miniata; Pmis = P. misera; Pmol = P. mollissima; Pmor = P. morifolia; Pmuc = P. mucronata; Pnit = P. nitida; Porg = P. organensis; Ppoh = P. pohlii; Prac = P. racemosa; Prub = P. rubra; Pset = P. setacea; Psid = P. sidifolia; Psub = P. suberosa; Pten = P. tenuifila; Ptlo = P. triloba; Ptri = P. tricuspis; Pvil = P. villosa. Plant materials and methods used to produce the scans: The plants were germinated from seed, planted between late October 2015 and early March 2016, in Viçosa, at the Federal University of Viçosa, MG, Brazil. The populations were raised and maintained under polycarbonate-covered greenhouse conditions, equipped with automatic environmental control using exhaust fans and evaporative cooling panels (with expanded clay wettable pads). Seeds for each Passiflora species were sown in 128 cell propagation plastic trays (GPlan Comércio de Produtos Agrícola s EIRELI – ME, São Paulo, SP, Brazil) filled with horticultural organic Tropstrato HT Hortaliças substrate (Vida Verde Indústria e Comércio de Insumos Orgânicos Ltda, Mogi Mirim, SP, Brazil). After germination (30-40 days), plantlets were individually transplanted to 5 L capacity plastic pots (EME-A-EME Ind. Com. Ltda., Petrópolis, RJ, Brazil) filled with horticultural substrate. Each pot received 5 g of Osmocote® Plus NPK 15-09-12 3-4 month controlled release fertilizer (Scotts, USA). Plants were irrigated on a daily-basis with tap water, and no phytosanitary control was applied. For scanning, a multifunction printer (Canon PIXMA MX340 Wireless Office All-in-One Printer, model 4204B019, USA) was used. A 20 cm metallic ruler was positioned at the bottom of each scanned sheet as a size marker. Leaves were carefully detached, from the base to the tip of the shoot, and affixed to an A4 paper sheet, adaxial face down, using 12 mm-double sided tape (Scotch Model 9400, 3M do Brasil, SP, Brazil). The numbers written near each leaf indicate position in the shoot, in a tip-to-base direction, starting with the youngest leaf at the tip of the shoot. This dataset can be referenced and accessed using the following citation and link: Chitwood, D, H; Otoni, W, C (2016): Supporting data for "Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade" GigaScience Database. http://dx.doi.org/10.5524/100251 Code and raw data can be accessed at the following link: https://github.com/DanChitwood/PassifloraLeaves