Novel computed tomography-based tools reliably quantify plant reproductive investment

Autor(en)
Y. M. Staedler, Thomas Kreisberger, S. Manafzadeh, M. Chartier, S. Handschuh, S. Pamperl, S. Sontag, O. Paun, J. Schönenberger
Abstrakt

The flower is a bisexual reproductive unit where both genders compete for resources. Counting pollen and ovules in flowers is essential to understand how much is invested in each gender. Classical methods to count very numerous pollen grains and ovules are inefficient when pollen grains are tightly aggregated, and when fertilization rates of ovules are unknown. In this study we have therefore developed novel counting techniques based on computed tomography. In order to demonstrate the potential of our methods in very difficult cases, we counted pollen and ovules across inflorescences of deceptive and rewarding species of European orchids, which possess both very large numbers of pollen grains (tightly aggregated) and ovules. Pollen counts did not significantly vary across inflorescences and pollination strategies, whereas deceptive flowers had significantly more ovules than rewarding flowers. The within-inflorescence variance of pollen-To-ovule ratios in rewarding flowers was four times higher than in deceptive flowers, possibly demonstrating differences in the constraints acting on both pollination strategies. We demonstrate the inaccuracies and limitations of previously established methods, and the broad applicability of our new techniques: They allow measurement of reproductive investment without restriction on object number or aggregation, and without specimen destruction.

Organisation(en)
Department für Botanik und Biodiversitätsforschung
Externe Organisation(en)
Veterinärmedizinische Universität Wien, Universität Wien
Journal
Journal of Experimental Botany
Band
69
Seiten
525-535
Anzahl der Seiten
11
ISSN
0022-0957
DOI
https://doi.org/10.1093/jxb/erx405
Publikationsdatum
01-2018
Peer-reviewed
Ja
ÖFOS 2012
106042 Systematische Botanik, 106008 Botanik, 106012 Evolutionsforschung
Schlagwörter
ASJC Scopus Sachgebiete
Physiology, Plant Science
Link zum Portal
https://ucris.univie.ac.at/portal/de/publications/novel-computed-tomographybased-tools-reliably-quantify-plant-reproductive-investment(4e35b373-464d-4607-a5d5-e7ac0a041887).html