Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add more filters










Database
Language
Publication year range
2.
Mol Ecol Resour ; 19(4): 900-928, 2019 Jul.
Article in English | MEDLINE | ID: mdl-30977972

ABSTRACT

This study summarizes results of a DNA barcoding campaign on German Diptera, involving analysis of 45,040 specimens. The resultant DNA barcode library includes records for 2,453 named species comprising a total of 5,200 barcode index numbers (BINs), including 2,700 COI haplotype clusters without species-level assignment, so called "dark taxa." Overall, 88 out of 117 families (75%) recorded from Germany were covered, representing more than 50% of the 9,544 known species of German Diptera. Until now, most of these families, especially the most diverse, have been taxonomically inaccessible. By contrast, within a few years this study provided an intermediate taxonomic system for half of the German Dipteran fauna, which will provide a useful foundation for subsequent detailed, integrative taxonomic studies. Using DNA extracts derived from bulk collections made by Malaise traps, we further demonstrate that species delineation using BINs and operational taxonomic units (OTUs) constitutes an effective method for biodiversity studies using DNA metabarcoding. As the reference libraries continue to grow, and gaps in the species catalogue are filled, BIN lists assembled by metabarcoding will provide greater taxonomic resolution. The present study has three main goals: (a) to provide a DNA barcode library for 5,200 BINs of Diptera; (b) to demonstrate, based on the example of bulk extractions from a Malaise trap experiment, that DNA barcode clusters, labelled with globally unique identifiers (such as OTUs and/or BINs), provide a pragmatic, accurate solution to the "taxonomic impediment"; and (c) to demonstrate that interim names based on BINs and OTUs obtained through metabarcoding provide an effective method for studies on species-rich groups that are usually neglected in biodiversity research projects because of their unresolved taxonomy.


Subject(s)
Ceratopogonidae/classification , Ceratopogonidae/genetics , Chironomidae/classification , Chironomidae/genetics , DNA Barcoding, Taxonomic , Diptera/classification , Diptera/genetics , Animals , Ecological Parameter Monitoring/methods , Germany
3.
Sci Rep ; 8(1): 4272, 2018 Mar 06.
Article in English | MEDLINE | ID: mdl-29511272

ABSTRACT

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

4.
Sci Rep ; 8(1): 448, 2018 01 08.
Article in English | MEDLINE | ID: mdl-29311613

ABSTRACT

A correction to this article has been published and is linked from the HTML version of this paper. The error has been fixed in the paper.

5.
Sci Rep ; 7(1): 14615, 2017 11 06.
Article in English | MEDLINE | ID: mdl-29097728

ABSTRACT

The monospecific fern genus Cystodium (Cystodiaceae; Polypodiales) occurs exclusively in the tropical forests of the Malay Archipelago, the Admiralty Islands, the Louisiade Archipelago, and the Solomon Islands. Divergence time estimates suggest that the genus originated in the Mesozoic; however, fossil evidence to validate this suggestion has been lacking. Amber from Myanmar (Burmese amber) is an important source of new information on the diversity of vascular cryptogams in the Cretaceous. This paper describes the fossil taxon Cystodium sorbifolioides nov. sp. based on a fragment of a fertile leaf preserved in Burmese amber that represents the first fossil evidence of the family Cystodiaceae. Cystodium sorbifolioides is used to obtain a minimum age estimate for the Cystodiaceae and the closely related, monogeneric Lonchitidaceae and Lindsaeaceae. The fossil strengthens the hypothesis that the forest ecosystems of Malesia and Melanesia represent refugia for many tropical plant lineages that originated in the Cretaceous.


Subject(s)
Amber , Ferns , Fossils , Biological Evolution , Ferns/anatomy & histology , Myanmar , Phylogeny
SELECTION OF CITATIONS
SEARCH DETAIL
...