Big Data and Pollinator Health

A special issue of Insects (ISSN 2075-4450). This special issue belongs to the section "Insect Ecology, Diversity and Conservation".

Deadline for manuscript submissions: closed (5 December 2020) | Viewed by 1951

Special Issue Editors


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Guest Editor
USDA-ARS Bee Research Laboratory, BARC-East Building 306, Beltsville, MD 20705, USA
Interests: genomics of honeybees and their parasites; honey bee health and immunity
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
USDA-ARS Bee Research Laboratory, BARC-East Building 306, Beltsville, MD 20705, USA
Interests: molecular biology; fungi; bees; symbionts

Special Issue Information

Dear Colleagues,

Landscape and weather data are critical for assessing habitat and productivity of pollinators, longitudinal studies help to identify the causes of success and decline, and genomic data can be used to clarify the biologies of pollinators and their associates. This issue will focus on methodologies and interpretations of big and integrative data, from planning to data collection and informatics. We look forward to large-scale landscape, geography, and weather data; systems biology datasets from controlled experiments; as well as large surveys and meta-analyses. Various strategies, including “-omics”, gene annotation, epidemiology, and complex modelling are encouraged, even when the answers involve negative results. We also seek reviews of current and past methodologies and datasets that improve our understanding of pollinator health. We expect all presented datasets will be freely accessible for future analyses and interpretation.

Dr. Jay D. Evans
Dr. James P. Tauber
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Insects is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • honey bees
  • pollinators
  • big data
  • next-generation sequencing (NGS)
  • epidemiology
  • landscape
  • habitat

Published Papers (1 paper)

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Research

12 pages, 1044 KiB  
Article
Variation in Expression of Reference Genes across Life Stages of a Bee, Megachile rotundata
by Junhuan Xu, Dennis L. Welker and Rosalind R. James
Insects 2021, 12(1), 36; https://0-doi-org.brum.beds.ac.uk/10.3390/insects12010036 - 6 Jan 2021
Cited by 10 | Viewed by 1659
Abstract
The alfalfa leafcutting bee, Megachile rotundata is widely used in the western United States as a pollinator for alfalfa seed production. Unfortunately, immatures experience high mortality in agriculturally managed populations. Quantified gene expression could be used to identify how this bee responds during [...] Read more.
The alfalfa leafcutting bee, Megachile rotundata is widely used in the western United States as a pollinator for alfalfa seed production. Unfortunately, immatures experience high mortality in agriculturally managed populations. Quantified gene expression could be used to identify how this bee responds during different life stages to pathogens, environmental toxins, and other stresses, but stably expressed reference genes are needed to normalize transcription data. We evaluated twelve candidate genes for their transcription stability across different life stages, including during and after diapause. RPS18 and RPL8 were the two most stably expressed genes, followed by RPS5 and RPL27A. These genes were also very stable even during and after diapause, while the most variable genes being APN, PMIIM, NPC2, and Cr-PII had increased expression levels during larval growth and were also variable during and after diapause. The four reference genes we identified in M. rotundata may prove useful for transcriptomic studies in other bees as well, such as honey bees. Full article
(This article belongs to the Special Issue Big Data and Pollinator Health)
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