Data

Sequencing technologies to study the pollination services of Apis mellifera in apple orchards - Dataset

University of New England, Australia
Lobaton, Garces ; Rader, Romina ; Duitama, Jorge ; Chia, Ming ; Stanley, David ; Milla, Liz ; Lins, Luana ; Macfadyen, Sarina ; Andrew, Rose ; Encinas-Viso, Francisco
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/zdhh-4352&rft.title=Sequencing technologies to study the pollination services of Apis mellifera in apple orchards - Dataset&rft.identifier=10.25952/zdhh-4352&rft.publisher=University of New England, Australia&rft.description=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.&rft.creator=Lobaton, Garces &rft.creator=Rader, Romina &rft.creator=Duitama, Jorge &rft.creator=Chia, Ming &rft.creator=Stanley, David &rft.creator=Milla, Liz &rft.creator=Lins, Luana &rft.creator=Macfadyen, Sarina &rft.creator=Andrew, Rose &rft.creator=Encinas-Viso, Francisco &rft.date=2022&rft.coverage=Yarra Valley, Victoria&rft.coverage=Stanthorpe, Queensland&rft.coverage=Canberra, ACT&rft.coverage=Armidale, New South Wales&rft_rights=Rights holder: Romina Rader / Juan David Lobaton Garces&rft_rights=Rights holder: Romina Rader / Juan David Lobaton Garces&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

view details

Rights holder: Romina Rader / Juan David Lobaton Garces

Rights holder: Romina Rader / Juan David Lobaton Garces

Access:

Other

Full description

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.

Issued: 2022-12-17

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Spatial Coverage And Location

text: Yarra Valley, Victoria

text: Stanthorpe, Queensland

text: Canberra, ACT

text: Armidale, New South Wales

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers