Apis <i>mellifera</i> Mitochondrial DNA (mtDNA), A Rewiew Paper

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Abstract

This review paper presents a comprehensive analysis of the mitochondrial DNA (mtDNA) of Apis mellifera, commonly referred to as the Western honey bee. The present study aims to examine the genetic diversity, population structure, and evolutionary history of a species of insect that holds economic significance. This study elucidates the genetic determinants that impact the adaptive capacity, behavioral patterns, and overall well-being of honey bees through the examination of mitochondrial DNA (mtDNA) sequences derived from diverse honey bee populations across the globe. Furthermore, this study examines the potential implications of mitochondrial DNA (mtDNA) research on various aspects of beekeeping practices, conservation initiatives, and the comprehension of honey bee biology. This paper serves as a significant asset for researchers, beekeepers, and conservationists with a keen interest in exploring the genetic characteristics of Apis mellifera

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Most cited references 30

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Standard methods for instrumental insemination of Apis mellifera queens

Susan W. Cobey, David Tarpy, Jerzy Woyke (2015)

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Population Genomics Provide Insights into the Evolution and Adaptation of the Eastern Honey Bee ( Apis cerana )

Chao Wen Chen, Huihua Wang, Zhiguang Liu … (2018)

Abstract The mechanisms by which organisms adapt to variable environments are a fundamental question in evolutionary biology and are important to protect important species in response to a changing climate. An interesting candidate to study this question is the honey bee Apis cerana, a keystone pollinator with a wide distribution throughout a large variety of climates, that exhibits rapid dispersal. Here, we resequenced the genome of 180 A. cerana individuals from 18 populations throughout China. Using a population genomics approach, we observed considerable genetic variation in A. cerana. Patterns of genetic differentiation indicate high divergence at the subspecies level, and physical barriers rather than distance are the driving force for population divergence. Estimations of divergence time suggested that the main branches diverged between 300 and 500 Ka. Analyses of the population history revealed a substantial influence of the Earth’s climate on the effective population size of A. cerana, as increased population sizes were observed during warmer periods. Further analyses identified candidate genes under natural selection that are potentially related to honey bee cognition, temperature adaptation, and olfactory. Based on our results, A. cerana may have great potential in response to climate change. Our study provides fundamental knowledge of the evolution and adaptation of A. cerana.

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Quantifying the effects of pollen nutrition on honey bee queen egg laying with a new laboratory system

Julia D. Fine, Hagai Y. Shpigler, Allyson M. Ray … (2018)

Honey bee populations have been declining precipitously over the past decade, and multiple causative factors have been identified. Recent research indicates that these frequently co-occurring stressors interact, often in unpredictable ways, therefore it has become important to develop robust methods to assess their effects both in isolation and in combination. Most such efforts focus on honey bee workers, but the state of a colony also depends on the health and productivity of its queen. However, it is much more difficult to quantify the performance of queens relative to workers in the field, and there are no laboratory assays for queen performance. Here, we present a new system to monitor honey bee queen egg laying under laboratory conditions and report the results of experiments showing the effects of pollen nutrition on egg laying. These findings suggest that queen egg laying and worker physiology can be manipulated in this system through pollen nutrition, which is consistent with findings from field colonies. The results generated using this controlled, laboratory-based system suggest that worker physiology controls queen egg laying behavior. Additionally, the quantitative data generated in these experiments highlight the utility of the system for further use as a risk assessment tool.

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Author and article information

Journal

Title: BIO Web of Conferences

Abbreviated Title: BIO Web Conf.

Publisher: EDP Sciences

ISSN (Electronic): 2117-4458

Publication date Created: 2024

Publication date (Electronic): January 09 2024

Publication date (Print): 2024

Volume: 85

Page: 01010

Article

DOI: 10.1051/bioconf/20248501010

SO-VID: cd259f27-2630-4fc2-a561-69c851020f29

License:

https://creativecommons.org/licenses/by/4.0/

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Apis mellifera Mitochondrial DNA (mtDNA), A Rewiew Paper

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