A DNA barcoding approach to identify plant species in multiflower honey

Bruni, Ilaria; Caridi, L.; Scaccabarozzi, Daniela; Mattia, Fabrizio De; Galimberti, Andrea; Labra, Massimo

doi:10.1016/j.foodchem.2014.08.060

Cited by 127 publications

(119 citation statements)

References 42 publications

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“…While plant identification from DNA has presented numerous challenges (CBOL 2009), it has the advantage of providing finer definition of species‐specific foraging preferences for plant families whose pollen is difficult to distinguish morphologically (Bell et al., 2016; Bruni et al., 2015; Hawkins et al., 2015; Kraaijeveld et al., 2015; Pornon, Andalo, Burrus, & Escaravage, 2017). DNA sequencing has been used successfully to identify the foraging preference of honeybees and the floral composition of their honey (Bruni et al., 2015; De Vere et al., 2017; Galimberti et al., 2014; Hawkins et al., 2015; Jain, Jesus, Marchioro, & Araújo, 2013; Valentini, Miquel, & Taberlet, 2010). Several studies have also used pollen DNA sequencing to identify solitary bee foraging preferences (Sickel et al., 2015; Wilson, Sidhu, Levan, & Holway, 2010).…”

Section: Introductionmentioning

confidence: 99%

Flower preferences and pollen transport networks for cavity‐nesting solitary bees: Implications for the design of agri‐environment schemes

Gresty

Clare

Devey

et al. 2018

Ecology and Evolution

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Floral foraging resources are valuable for pollinator conservation on farmland, and their provision is encouraged by agri‐environment schemes in many countries. Across Europe, wildflower seed mixtures are widely sown on farmland to encourage pollinators, but the extent to which key pollinator groups such as solitary bees exploit and benefit from these resources is unclear. We used high‐throughput sequencing of 164 pollen samples extracted from the brood cells of six common cavity‐nesting solitary bee species (Osmia bicornis, Osmia caerulescens, Megachile versicolor, Megachile ligniseca, Megachile centuncularis and Hylaeus confusus) which are widely distributed across the UK and Europe. We documented their pollen use across 19 farms in southern England, UK, revealing their forage plants and examining the structure of their pollen transport networks. Of the 32 plant species included currently in sown wildflower mixes, 15 were recorded as present within close foraging range of the bees on the study farms, but only Ranunculus acris L. was identified within the pollen samples. Rosa canina L. was the most commonly found of the 23 plant species identified in the pollen samples, suggesting that, in addition to providing a nesting resource for Megachile leafcutter bees, it may be an important forage plant for these species. Higher levels of connectance and nestedness were characteristic of pollen transport networks on farms with abundant floral resources, which may increase resilience to species loss. Our data suggest that plant species promoted currently by agri‐environment schemes are not optimal for solitary bee foraging. If a diverse community of pollinators is to be supported on UK and European farmland, additional species such as R. canina should be encouraged to meet the foraging requirements of solitary bees.

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Section: Introductionmentioning

confidence: 99%

Flower preferences and pollen transport networks for cavity‐nesting solitary bees: Implications for the design of agri‐environment schemes

Gresty

Clare

Devey

et al. 2018

Ecology and Evolution

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“…The first type belongs to a unique plant species, whereas the second is composed by a multitude of plant species. The quality of honey is closely related to the flower composition and the climatic and environmental conditions of the production area [50].…”

Section: Use Of Dna Barcoding and Genetic Traceability Of Plant-derivmentioning

confidence: 99%

“…Even if all these methods work well for identifying the geographic origins and for distinguishing honey with different botanical origins, they provide only limited information on the plant composition [51]. In fact, it is not always possibile to recognize individual species because some pollen is not well distinguishable by its morphological traits (e.g., Campulanaceae and Lamiaceae) [50].…”

Section: Use Of Dna Barcoding and Genetic Traceability Of Plant-derivmentioning

confidence: 99%

“…Recently, DNA barcoding was proposed as molecular tool for honey traceability exploitable in distinct steps of the supply chain. Some reserachers demonstrated that standard barcodes, such as trnL gene intron and rbcL gene region, are suitable for identifying plant traces from different honey samples, but anable for determining the botanical composition of individual honey species [50,51]. A synergism between multiple barcode markers among those conventionally used is in fact necessary to differentiate congeneric taxa.…”

Section: Use Of Dna Barcoding and Genetic Traceability Of Plant-derivmentioning

confidence: 99%

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DNA Barcoding as a Molecular Tool to Track Down Mislabeling and Food Piracy

2015

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DNA barcoding is a molecular technology that allows the identification of any biological species by amplifying, sequencing and querying the information from genic and/or intergenic standardized target regions belonging to the extranuclear genomes. Although these sequences represent a small fraction of the total DNA of a cell, both chloroplast and mitochondrial barcodes chosen for identifying plant and animal species, respectively, have shown sufficient nucleotide diversity to assess the taxonomic identity of the vast majority of organisms used in agriculture. Consequently, cpDNA and mtDNA barcoding protocols are being used more and more in the food industry and food supply chains for food labeling, not only to support food safety but also to uncover food piracy in freshly commercialized and technologically processed products. Since the extranuclear genomes are present in many copies within each cell, this technology is being more easily exploited to recover information even in degraded samples or transformed materials deriving from crop varieties and livestock species. The strong standardization that characterizes protocols used worldwide for DNA barcoding makes this technology particularly suitable for routine analyses required by agencies to safeguard food safety and quality. Here we conduct a critical review of the potentials of DNA barcoding for food labeling along with the main findings in the area of food piracy, with particular reference to agrifood and livestock foodstuffs.

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“…DNA barcoding has been successfully applied in identification of plant species (e.g. Bruni et al 2015) as well as in re-evaluating taxonomic status and circumscriptions (e.g. Rastegar-Pouyani et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Assessing Clivia taxonomy using the core DNA barcode regions, matK and rbcLa

Spies¹,

Spies²

2018

Bothalia

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Background: Clivia is a genus of the family Amaryllidaceae endemic to South Africa and Swaziland. Six species and one natural hybrid have been described. Some morphological traits overlap between some species, thus causing taxonomic confusion.Objectives: The discriminatory power of the core DNA barcodes (matK and rbcLa) was evaluated, and the current taxonomy of Clivia was assessed.Method: Seventy-four two-locus DNA barcodes from 4 to 18 specimens per species were generated.Results: The matK region had a higher mean intraspecific variation of 0.21 compared with the 0.02 of rbcLa. The two-locus barcodes have an aligned length of 1335 base pairs. Three species, Clivia mirabilis, Clivia nobilis and Clivia caulescens, are monophyletic in the Bayesian Inference (BI) cladogram. The remaining Clivia species (Clivia miniata, Clivia gardenii, Clivia robusta and their affinities) are paraphyletic. Clivia is divided into 17 haplogroups with those of C. mirabilis and C. nobilis being unique. Clivia caulescens has three haplotypes. The Clivia species from the north-eastern distribution range of the Eastern Cape and KwaZulu-Natal provinces have 11 haplogroups and no species-specific DNA barcodes. These groups have no correlation with the current taxonomy or geographical distribution.Conclusions: Only 37.33% of the species can be correctly identified with the ‘best match’ option in SpeciesIdentifier. Clivia mirabilis, C. nobilis and C. caulescens have unique DNA barcodes to identify them. Specimens from the Ngome area in KwaZulu-Natal have a unique DNA barcode, separating them from the rest of C. gardenii. A taxonomic revision is suggested.

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A DNA barcoding approach to identify plant species in multiflower honey

Cited by 127 publications

References 42 publications

Flower preferences and pollen transport networks for cavity‐nesting solitary bees: Implications for the design of agri‐environment schemes

Flower preferences and pollen transport networks for cavity‐nesting solitary bees: Implications for the design of agri‐environment schemes

DNA Barcoding as a Molecular Tool to Track Down Mislabeling and Food Piracy

Assessing <i>Clivia</i> taxonomy using the core DNA barcode regions, <i>matK</i> and <i>rbcLa</i>

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