Article
Environmental Sciences
Caio Eduardo da Costa Domingues, Artur Miguel Paiva Sarmento, Nuno Xavier Jesus Capela, Jose Miguel Costa, Ruben Miguel Rodrigues Mina, Antonio Alves da Silva, Ana Raquel Reis, Carlos Valente, Osmar Malaspina, Henrique M. V. S. Azevedo-Pereira, Jose Paulo Sousa
Summary: This study aimed to assess the health status and development of Apis mellifera iberiensis colonies in Eucalyptus globulus plantations and the impact of pesticide application on the colonies. The results showed that the application of the pesticide did not have a negative effect on the health and development of the colonies, likely due to limited resources within the application area.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biotechnology & Applied Microbiology
Jamal Momeni, Melanie Parejo, Rasmus O. Nielsen, Jorge Langa, Iratxe Montes, Laetitia Papoutsis, Leila Farajzadeh, Christian Bendixen, Eliza Cauia, Jean-Daniel Charriere, Mary F. Coffey, Cecilia Costa, Raffaele Dall'Olio, Pilar De la Rua, M. Maja Drazic, Janja Filipi, Thomas Galea, Miroljub Golubovski, Ales Gregorc, Karina Grigoryan, Fani Hatjina, Rustem Ilyasov, Evgeniya Ivanova, Irakli Janashia, Irfan Kandemir, Aikaterini Karatasou, Meral Kekecoglu, Nikola Kezic, Eniko Sz. Matray, David Mifsud, Rudolf Moosbeckhofer, Alexei G. Nikolenko, Alexandros Papachristoforou, Plamen Petrov, M. Alice Pinto, Aleksandr V. Poskryakov, Aglyam Y. Sharipov, Adrian Siceanu, M. Ihsan Soysal, Aleksandar Uzunov, Marion Zammit-Mangion, Rikke Vingborg, Maria Bouga, Per Kryger, Marina D. Meixner, Andone Estonba
Summary: The study utilized worker bee data from 22 populations in Europe to select informative SNPs for ancestry inference through two highly discriminative methods. This led to the development of an accurate predictive tool for determining the ancestry of European honey bees.
Review
Microbiology
Richard Galajda, Alexandra Valencakova, Monika Sucik, Petra Kandracova
Summary: Nosematosis is a honey bee disease caused by Nosema apis and Nosema ceranae, with exposure to pesticides and nutritional stress being key factors that weaken the immune response of bees and make them more susceptible to parasites. Polymerase chain reaction (PCR) is an important method for detecting and distinguishing between the two species causing the disease.
Article
Multidisciplinary Sciences
Kathleen A. Dogantzis, Tanushree Tiwari, Ida M. Conflitti, Alivia Dey, Harland M. Patch, Elliud M. Muli, Lionel Garnery, Charles W. Whitfield, Eckart Stolle, Abdulaziz S. Alqarni, Michael H. Allsopp, Amro Zayed
Summary: The study revealed that the western honey bee Apis mellifera originated in Asia, underwent multiple expansions, and experienced selection on specific genomic hotspots. A core set of genes associated with worker and colony traits facilitated the adaptive radiation of honey bees across their vast distribution.
Article
Entomology
Rachel Ward, Mary Coffey, Kevin Kavanagh
Summary: Proteomic analysis of Apis mellifera workers revealed differences in protein abundance between summer and winter bees. Winter bees showed higher levels of cuticular and xenobiotic proteins, as well as increased abundance in carbohydrate metabolism pathways linked to energy production and longevity. Additionally, summer bees exhibited increased abundance of bee venom-associated proteins in the venom sacs.
JOURNAL OF INSECT PHYSIOLOGY
(2022)
Review
Chemistry, Multidisciplinary
Ewa Danuta Mazur, Anna Maria Gajda
Summary: This paper provides reliable diagnostic methods and basic information on Nosema spp. infection in honey bees, serving as a knowledge source for veterinarians and researchers.
APPLIED SCIENCES-BASEL
(2022)
Article
Agriculture, Dairy & Animal Science
Milyausha Kaskinova, Elena Saltykova, Alexander Poskryakov, Alexey Nikolenko, Luisa Gaifullina
Summary: The Southern Ural Mountains are a habitat for one of the last surviving populations of the dark forest bee Apis mellifera mellifera, facing issues of hybridization with subspecies from lineage C and being affected by nosematosis. Urgent measures are needed to protect this population. Analysis revealed that 30.4% of the colonies belong to lineage C, and about half of the sampled colonies were infected with Nosema apis, posing a threat to the survival of the population.
Editorial Material
Ecology
Lawrence D. Harder, Ronald M. Miksha
Summary: Based on the study by Renner et al., the increase in density of managed honey-bee hives did not lead to intensified competitive effects of honey bees on non-Apis bee species in the Munich Botanic Garden. Instead, changes in the proportion of non-Apis bees among visitors between years were likely a response to reduced overall availability of floral resources in 2020.
Article
Entomology
Victoria S. Buswell, Jonathan Ellis, J. Vanessa Huml, David W. Wragg, Mark Barnett, Andrew E. Brown, Mairi Knight
Summary: Human management of honeybees has led to the introduction of subspecies outside their native ranges. Estimating introgression in haplodiploid species is challenging, but this study compares different genetic and statistical approaches to estimate introgression in honeybee colonies. The results highlight the importance of using multiple individuals and statistical methods in assessing colony-level introgression.
Article
Biochemistry & Molecular Biology
Minghui Sun, Xiaoxue Fan, Qi Long, He Zang, Yiqiong Zhang, Xiaoyu Liu, Peilin Feng, Yuxuan Song, Kunze Li, Ying Wu, Haibin Jiang, Dafu Chen, Rui Guo
Summary: piRNAs are small non-coding RNAs that play essential roles in gene expression and biological processes. In this study, the expression pattern of piRNAs in honeybee larvae after Ascosphaera apis infection was analyzed. The results showed that the expression of piRNAs was altered and they were involved in various pathways related to energy metabolism, development, and immune response. Furthermore, specific piRNAs were found to negatively regulate the expression of immune-related genes during the infection. These findings provide a platform for further investigation of piRNAs in honeybees and shed light on the mechanisms underlying the host response to A. apis infection.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biotechnology & Applied Microbiology
Marcelo Polizel Camilli, Samir Moura Kadri, Marcus Vinicius Niz Alvarez, Paulo Eduardo Martins Ribolla, Ricardo Oliveira Orsi
Summary: The study found that zinc supplementation can modulate gene expression and play an important role in the development of Apis mellifera bees. The information obtained in this study can contribute to future research in the field of bee nutrigenomics.
Article
Environmental Sciences
Micaela Buteler, Andrea Marina Alma, Teodoro Stadler, Ariane Carnebia Gingold, Maria Celeste Manattini, Mariana Lozada
Summary: The acute toxicity of microplastics on honeybees is low and does not lead to short-term mortality. However, honeybees' foraging behavior does not prevent them from ingesting microplastics, which could potentially have lethal long-term effects on the bees.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Multidisciplinary
Enzo Goretti, Matteo Pallottini, Gianandrea La Porta, Antonia Concetta Elia, Tiziano Gardi, Chiara Petroselli, Paola Gravina, Federica Bruschi, Roberta Selvaggi, David Cappelletti
Summary: This study surveyed the environmental contamination of Alviano Lake territory in Central Italy using Apis mellifera ligustica samples collected from 2019 to 2020. The overall contamination level in the bee tissues was found to be low. However, higher concentrations of Arsenic (As) were observed compared to other rural areas, but lower than samples from urban and productive areas. The analysis of elemental distribution along the longitudinal axis of the bees' bodies revealed higher concentrations of V, Al, Be, Pb, Cd, Co, Mn, Ba, and Sr in the gaster, with the exception of As, S, and Hg, which showed higher concentrations in the body without the gaster, possibly due to their affinity with sulfur.
APPLIED SCIENCES-BASEL
(2023)
Article
Agriculture, Multidisciplinary
Ole Kilpinen, Flemming Vejsnaes, Robert Brodschneider
Summary: This comment reanalyzes data from a previous study on bee pollinators, specifically focusing on the competition between honey bees and other pollinators. The authors challenge the findings of the previous study and argue against correlating species richness and honey bee dominance. Through reanalysis of the data, they found no correlation and provide an explanation for why negative relationships were reported. The comment aims to advance understanding and inform future research and policymaking.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Entomology
George Peter Hawkins, Stephen John Martin
Summary: The study found that recapping and mite reproduction play important roles in the resistance of natural Varroa resistant colonies in the UK, with higher recapping frequency and lower mite reproduction. Targeted recapping behavior is a common trait in NVR colonies, which may serve as a useful indicator for mite resistance. Additionally, reduced mite reproduction is a key resistance mechanism in NVR colonies in the UK, as well as in Europe, South Africa, Brazil, and Mexico.
Article
Multidisciplinary Sciences
A. Talenti, J. Powell, J. D. Hemmink, E. A. J. Cook, D. Wragg, S. Jayaraman, E. Paxton, C. Ezeasor, E. T. Obishakin, E. R. Agusi, A. Tijjani, K. Marshall, A. Fisch, B. R. Ferreira, A. Qasim, U. Chaudhry, P. Wiener, P. Toye, L. J. Morrison, T. Connelley, J. G. D. Prendergast
Summary: This study generated assemblies for African cattle breeds and integrated them with genomic data for global cattle breeds into a graph genome. Compared to the current reference assembly, this more representative assembly contains additional sequence, increases read mapping rates, reduces biases, and improves structural variant calling consistency.
NATURE COMMUNICATIONS
(2022)
Article
Genetics & Heredity
Chao Chen, Melanie Parejo, Jamal Momeni, Jorge Langa, Rasmus O. Nielsen, Wei Shi, Rikke Vingborg, Per Kryger, Maria Bouga, Andone Estonba, Marina Meixner
Summary: This study compared the effectiveness of individual sequencing (ind-seq) and pool sequencing (pool-seq) in inferring population genetic structure and diversity. The results showed that, if cost is not a limiting factor, ind-seq can provide similar population genetic structure inference with the advantage of individual genetic information. Additionally, it significantly reduces the effort required for sample collection and processing in the laboratory.
Correction
Multidisciplinary Sciences
A. Talenti, J. Powell, J. D. Hemmink, E. A. J. Cook, D. Wragg, S. Jayaraman, E. Paxton, C. Ezeasor, E. T. Obishakin, E. R. Agusi, A. Tijjani, W. Amanyire, D. Muhanguzi, K. Marshall, A. Fisch, B. R. Ferreira, A. Qasim, U. Chaudhry, P. Wiener, P. Toye, L. J. Morrison, T. Connelley, J. G. D. Prendergast
NATURE COMMUNICATIONS
(2022)
Article
Genetics & Heredity
David Wragg, Elizabeth A. J. Cook, Perle Latre de Late, Tatjana A. Sitt, Johanneke Hemmink, Maurine Chepkwony, Regina A. Njeru, E. Jane Poole, Jessica Powell, Edith Paxton, Rebecca Callaby, Andrea Talenti, Antoinette Miyunga, Gideon Ndambuki, Stephen J. Mwaura, Harriet Auty, Oswald Matika, Musa G. Hassan, Karen Marshall, Timothy Connelley, Liam M. Morrison, B. Mark deC. Bronsvoort, W. Ivan M. Morrison, Philip Toye, James G. D. M. Prendergast
Summary: This study identifies a genetic locus associated with tolerance to the tick-borne cattle disease East Coast fever in East Africa. The locus is located on bovine chromosome 15 and a variant in the FAF1 gene in this region is highly associated with survival. This finding could lead to marker-assisted selection for less susceptible cattle to reduce the impact of the disease.
Article
Entomology
Nuno Capela, Yoko L. Dupont, Agnes Rortais, Artur Sarmento, Alexandra Papanikolaou, Christopher J. Topping, Gerard Arnold, M. Alice Pinto, Pedro J. Rodrigues, Simon J. More, Simone Tosi, Thiago S. Alves, Jose Paulo Sousa
Summary: Honey bees are important insect pollinators with great economic and ecological value. Most current assessment methods for honey bee colonies rely on visual assessments, which are subjective and prone to bias. This study presents a new method that quantifies colony size based on bee weight and assesses brood and food storage through image analysis. The method is accurate, standardized, and independent of observer bias.
JOURNAL OF APICULTURAL RESEARCH
(2023)
Article
Biochemistry & Molecular Biology
David Wragg, Sonia E. Eynard, Benjamin Basso, Kamila Canale-Tabet, Emmanuelle Labarthe, Olivier Bouchez, Kaspar Bienefeld, Malgorzata Bienkowska, Cecilia Costa, Ales Gregorc, Per Kryger, Melanie Parejo, M. Alice Pinto, Jean-Pierre Bidanel, Bertrand Servin, Yves Le Conte, Alain Vignal
Summary: Honey bee subspecies originate from specific geographical areas and have been imported to different regions. To better understand Western European honey bee populations, researchers conducted a genome sequence and SNP genotype analysis.
MOLECULAR ECOLOGY RESOURCES
(2022)
Editorial Material
Entomology
Deborah Smith, Juliana Rangel, Maria Bouga, Melanie Parejo
JOURNAL OF APICULTURAL RESEARCH
(2022)
Editorial Material
Entomology
Panuwan Chantawannaku, Robert Brodschneider, Otilia Bobis, Melanie Parejo, Maria Bouga
JOURNAL OF APICULTURAL RESEARCH
(2023)
Article
Entomology
Carlos Ariel Yadro Garcia, Pedro Joao Rodrigues, Adam Tofilski, Dylan Elen, Grace P. McCormak, Andrzej Oleksa, Dora Henriques, Rustem Ilyasov, Anatoly Kartashev, Christian Bargain, Balser Fried, Maria Alice Pinto
Summary: DeepWings (c) is a software that uses machine learning to automatically classify honey bee subspecies by wing geometric morphometrics. It shows good performance in identifying subspecies, although it may have limitations in accurately distinguishing closely related subspecies due to genetic pollution.
Article
Entomology
Ana R. Lopes, Raquel Martin-Hernandez, Mariano Higes, Sara Kafafi Segura, Dora Henriques, M. Alice Pinto
Summary: In this study, the invasive pathogen Nosema ceranae was detected for the first time in honey bees of the Madeira archipelago, indicating its spread across the Macaronesia. Nosema apis was not detected, and the high prevalence (67.7%) of N. ceranae suggests its dominance over N. apis.
JOURNAL OF APICULTURAL RESEARCH
(2023)
Article
Cell Biology
Hussain Bahbahani, Sanaa Al-Zoubi, Fatima Ali, Arwa Afana, Mohammed Dashti, Abdulaziz Al-Ateeqi, David Wragg, Suzanne Al-Bustan, Faisal Almathen
Summary: This study investigates the natural selection signatures in the mitochondrial DNA of different dromedary camel populations. The findings reveal adaptive divergence between Old World and New World camels, with evidence of purifying selection among Old World camel species. A total of 89 codons, known to impact the physiochemical properties of proteins, were found to be under positive selection in the Camelidae family.
Article
Multidisciplinary Sciences
M. Parejo, A. Talenti, M. Richardson, A. Vignal, M. Barnett, D. Wragg
Summary: This study utilized the unique characteristics of haploid honey bee drones and high-quality genetic data to establish the haplotype resource AmelHap. It demonstrated the utility of AmelHap in genotype imputation, association studies, population genetic analyses, and evolutionary analyses.
Article
Biochemistry & Molecular Biology
Marvin Choquet, Felix Lenner, Arianna Cocco, Gaelle Toullec, Erwan Corre, Jean-Yves Toullec, Andreas Wallberg
Summary: This study used comparative genomics to investigate the genetic variation and adaptation potential of 20 krill species collected from different oceans. The results showed that Antarctic krill species had lower levels of genetic variation and evolutionary rates, indicating a potentially lower adaptive potential to rapid climate change. Additionally, the study identified several candidate genes associated with adaptive evolution in Antarctic krill.
MOLECULAR BIOLOGY AND EVOLUTION
(2023)
Article
Computer Science, Artificial Intelligence
Pedro Joao Rodrigues, Walter Gomes, Maria Alice Pinto
Summary: This study developed a software called DeepWings (c) that can automatically detect landmarks on honey bee wing images and classify the subspecies based on geometric morphometrics. The results showed high accuracy and performance of the software, making it a useful tool for honey bee breeding, conservation, and scientific research.
BIG DATA AND COGNITIVE COMPUTING
(2022)