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53 results for “Dreissena”
Does lake eutrophication support biological invasions in rivers? A study on Dreissena polymorpha (Bivalvia) in lake-river ecotones
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Dreissena polymorpha and D. rostriformis raw microsatellite allele data
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Figure 1 in Environmental DNA as a tool to help inform zebra mussel, Dreissena polymorpha, management in inland lakes
Figure 1. Sampling locations on Lake Le Homme Dieu (A) and Maple Lake (B) near Alexandria, Minnesota. All locations marked indicate where samples were collected. Pink and white pins indicate the locations where samples were collected in October 2014; We were only able to sample at the locations indicated with pink pins in March 2015 due to the depth of the ice.
Fig. 3 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 3. Latitudinal variability of the number of pattern types. Samples: 1–6 — the Rybinsk Reservoir; 7–10 — the Gorky Reservoir; 11 — Lake Plescheevo; 12 — the Kama Reservoir; 13 — Lake Forelevoe; 14 — Northern Dvina River; 15 — the Chograi Reservoir; 16 — RR–1 channel; 17 — Lake Sharony; 18 — Ahtuba River; 19 — Belinskiy Bank; 20 — Danube River; 21, 22 — the Perućica Reservoir; 23 — Lake Erie; 24, 25 — Lake Michigan.
Fig. 6 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 6. Scheme of pattern change in zebra mussel population (by the example of the Perućica Reservoir). Data for mussels of ages from 1+ to 3+ are aggregated.
Figure 1 in Characteristics of zebra mussel (Dreissena polymorpha) populations in infested reservoirs, northwest Bulgaria
Figure 1. Study region and sampling sites in the Ogosta and Rabisha reservoirs.
Targeted and passive environmental DNA approaches outperform established methods for detection of quagga mussels, Dreissena rostriformis bugensis in flowing water
<ol> <li>The early detection of invasive non-native species (INNS) <span><span>is important for informing management actions</span></span>. Established monitoring methods require the collection or observation of specimens, which is unlikely at the beginning of an invasion when densities are likely to be low. Environmental DNA (eDNA) analysis is a highly promising technique for the detection of INNS – particularly during the early stages of an invasion. </li> <li>Here, we compared the use of traditional kick-net sampling with two eDNA approaches (targeted detection using both conventional and quantitative PCR, and passive detection via metabarcoding with conserved primers) for detection of quagga mussel, <i>Dreissena rostriformis bugensis;</i> a high priority INNS, along a density gradient on the River Wraysbury, UK. </li> <li>All three molecular tools outperformed traditional sampling in terms of detection. Conventional PCR and qPCR both had 100% detection rate in all samples, and outperformed metabarcoding when the target species was at low densities. Additionally, quagga mussel DNA copy number (qPCR) and relative read count (metabarcoding) were significantly influenced by both mussel density and distance from source population, with distance being the most significant predictor. </li> <li> <i>Synthesis and application.</i> All three molecular approaches were more sensitive than traditional kick-net sampling for the detection of the quagga mussel in flowing water, and both qPCR and metabarcoding enabled estimates of relative abundance. Targeted approaches were more sensitive than metabarcoding, but metabarcoding has the advantage of providing information on the wider community, and consequently impacts of INNS. </li> </ol>
Figure 3 from: Marescaux J, Van Doninck K (2013) Using DNA barcoding to differentiate invasive Dreissena species (Mollusca, Bivalvia). ZooKeys 365: 235-244. https://doi.org/10.3897/zookeys.365.5905
Figure 3 - RFLP analysis of the COI gene to distinguish Dreissena rostriformis bugensis (Q haplotype) and Dreissena polymorpha (Z haplotype) using the endonucleases (A) Nla IV (B) Hinf I (C) Nla III and (D) Scr FI. Lane 1, 1-kb ladder; lane 2, non-digested fragment of quagga mussel; lane 3, Q1 haplotype; lane 4, Q2 haplotype; lane 5, Z1 haplotype; lane 6, Z2 haplotype; lane 7, Z3 haplotype; lane 8, Z4 haplotype; lane 9, Z5 haplotype; lane 10, 100-bp ladder.
Figure 1 from: Marescaux J, Van Doninck K (2013) Using DNA barcoding to differentiate invasive Dreissena species (Mollusca, Bivalvia). ZooKeys 365: 235-244. https://doi.org/10.3897/zookeys.365.5905
Figure 1 - Barcoding analysis based on a fragment of 654 base pairs of the COI gene. a) NJ analysis of K2P-pairwise distances b) "barcoding gap" method based on the K2P-pairwise distance.
Figure 2 from: Marescaux J, Van Doninck K (2013) Using DNA barcoding to differentiate invasive Dreissena species (Mollusca, Bivalvia). ZooKeys 365: 235-244. https://doi.org/10.3897/zookeys.365.5905
Figure 2 - Haplotype networks based on a fragment of 654 base pairs of the COI gene. Our seven haplotypes are labelled: Q1 and Q2 for haplotypes 1 and 2 (belonging to Dreissena rostriformis bugensis) / Z1 to Z5 for the 5 other haplotypes (belonging to Dreissena polymorpha).
Targeted and passive environmental DNA approaches outperform established methods for detection of quagga mussels, Dreissena rostriformis bugensis in flowing water
Open the record for dataset details and reuse information.
Fig. 5 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 5. Examples of fluctuation of pattern type frequencies in zebra mussel populations.
Fig. 2 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 2. Pattern types on zebra mussel shells.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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