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
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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&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.To replicate the experiments, all reads generated by Illumina sequencing have been deposited in the Sequence Read Archive (SRA) database (http://www.ncbi.nlm.nih.gov/sra) under BioProject PRJNA751423 and PRJNA657757.&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_subject=Farm management, rural management and agribusiness&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Terrestrial systems and management not elsewhere classified&rft_subject=Terrestrial systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data
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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.
To replicate the experiments, all reads generated by Illumina sequencing have been deposited in the Sequence Read Archive (SRA) database (http://www.ncbi.nlm.nih.gov/sra) under BioProject PRJNA751423 and PRJNA657757.

Issued: 2022-12-17

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Agricultural, Veterinary and Food Sciences | Agriculture, Land and Farm Management | Environmental Management | Farm Management, Rural Management and Agribusiness | Terrestrial Systems and Management | Terrestrial Systems and Management Not Elsewhere Classified |

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handle : https://hdl.handle.net/1959.11/55576

uri : https://www.ncbi.nlm.nih.gov/bioproject/PRJNA657757/

local : www.ncbi.nlm.nih.gov

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