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Title
Sequencing technologies to study the pollination services of Apis mellifera in apple orchards - Dataset
Author(s)
Duitama, Jorge
Chia, Ming
Milla, Liz
Lins, Luana
Macfadyen, Sarina
Encinas-Viso, Francisco
Publication Date
2022-12-17
Open Access
Yes
Abstract
To understand the mechanisms underlying pollinator-dependent plant reproduction in cultivated landscapes, we need an in-depth knowledge of fine-scale interactions between insects and flowering plants. The advent of high-resolution molecular techniques, such as DNA/RNA sequencing, have facilitated the plight of pollination ecologists to track pollen movement between flowers by insects. This thesis aims to progress this knowledge by investigating cultivar pollen carried by honeybees in apple orchards to (i) investigate the use of transcriptome analyses as a novel molecular metric to evaluate pollinator effectiveness; (ii) examine the gene expression response to honeybee flower visits; (iii) generate molecular markers for different apple cultivars, and (iv) examine the microbiome communities related to pollination by metagenomics approaches.
Publication Type
Dataset
Publisher
University of New England
Place of Publication
Armidale, Australia
Fields of Research (FoR) 2020
Socio-Economic Objective (SEO) 2020
HERDC Category Description
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