In Europe, distribution of the several endemic honey bee (Apis mellifera) subspecies has suffered a considerable shift in the last century. In particular, beekeepers tend to favour subspecies of Eastern European ancestry (C-lineage), such as the Italian honey bee (A. m. ligustica), due to their perceived docility and high honey production. As a result, large scale migratory beekeeping and trade of C-lineage que...
Worldwide commercial beekeeping poses a threat to the native origin of the honeybee (Apis mellifera), with beekeepers favouring subspecies of Eastern European C-lineage ancestry, due to their docile behaviour and high honey production traits. In many parts of western and northern Europe, queens of Western European M-lineage ancestry have been massively replaced by queens of C-lineage ancestry, and this has led ...
One of the most critical steps for accurate taxonomic identification in DNA (meta)-barcoding is to have an accurate DNA reference sequence dataset for the marker of choice. Therefore, developing such a dataset has been a long-term ambition, especially in the Viridiplantae kingdom. Typically, reference datasets are constructed with sequences downloaded from general public databases, which can carry taxonomic and...
Europe is home to ten Apis mellifera subspecies, which belong to three mitochondrial lineages: the Western European (M), Eastern European (C), and African (A). However, the long-standing human-mediated movement of queens, primarily of C-lineage ancestry, has threatened the genetic integrity of many of these native subspecies through introgression and replacement. This has led to the establishment of conservatio...
Wing venation patterns have long been used to identify honey bee subspecies, singly or in combination with other morphological traits, using different approaches. Beekeepers have traditionally used identification methods that only require estimations of the Cubital Index, Hantel Index, and/or Discoidal Shift Angle. However, these measures do not consider all the information carried by wing patterns, and a more ...
Honeybee colonies are excellent bio-samplers of biological material such as nectar, pollen, and plant pathogens, as well as non-biological material such as pesticides or airborne contamination. The INSIGNIA-EU project aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides, microplastics, heavy metals, and air p...
Bee products have long been used in human’s diet and their consumption has increasingly been recognized has beneficial for human’s health. One such product is pollen, which is a particularly interesting food as it contains bioactive compounds and all the essential amino-acids needed by humans. However, the composition of bee-collected pollen depends on the environment where the visited plants grow (e.g.: climat...
Identification of botanical origin of mixed pollen samples has several applications, including unraveling plant-pollinator interactions, determining botanical origin of honey, monitoring allergy-related airborne pollen sources, or even monitoring pesticide use in crops. These applications have typically been addressed using light microscopy, a costly approach that often provides low taxonomic resolution. Howeve...
INSIGNIA aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides via honey bees. It is a pilot project initiated and financed by the European Commission (PP-1-1-2018; EC SANTE). The study is being carried out by a consortium of specialists in honey bees, apiculture, chemistry, molecular biology, statistics, anal...
INSIGNIA aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides by honey bees. It is a 30-month pilot project initiated and financed by the EC (PP-1-1-2018; EC SANTE). The study is being carried out by a consortium of specialists in honey bees, apiculture, statistics, analytics, modelling, extension, social sci...