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

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://ucrisportal.univie.ac.at/de/publications/novel-computed-tomographybased-tools-reliably-quantify-plant-reproductive-investment(4e35b373-464d-4607-a5d5-e7ac0a041887).html