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Sponges are difficult to identify and classify. Many sponges “have a depauperate suite of morphologic characters and/or are plagued by morphological homoplasies” and vary according to environmental conditions, challenging identification at species level and stymying attempts to reconstruct evolutionary lineages.  In Dec 2007 J Marine Biol Assoc UK researchers from Geoscience Centre Gottingen, Germany, and Queensland Museum, Australia, report on how DNA can help. Worheide and Erpenbeck describe the nascent Sponge Barcoding Project www.spongebarcoding.org, which aims to collect DNA signature sequences [COI barcodes] from all 8,000 known marine intertidal, deep sea, and freshwater sponge taxa.  According to the authors “DNA barcoding will open up a new dimension and quality in biodiversity research and will become of vital importance for the survival and acknowledgement of sponge taxonomy and increase its reputation over the coming decades.” In addition to assisting species-level identifications, the authors posit the necessity of “DNA-assisted” taxonomy of sponges given the inability to construct convincing higher order classifications with morphologic characters.

An accompanying article analyzes COI barcode results for 166 specimens belonging to 65 species of Caribbean sponges. Similar to findings in other animal groups, the 584 bp COI fragment produced a gene tree similar to that with 28s rRNA, a slowly-evolving nuclear gene. In a ML analysis, some species had overlapping or shared sequences, which the authors point out may mean these are not “good species”, specimen identifications are incorrect, or that these species cannot be distinguished by a COI barcode alone. The sequences are published in GenBank and available individually through the Sponge Barcode website, and I hope the authors will also make their sequence and specimen data available on the Published Projects section of BOLD. This will allow access to the analytic and display software on the BOLD site, enable easy comparison of the sponge data set with that of other animals, and facilitate testing of other methods particularly for those species which are not distinguished in ML analysis.  

Birds are relatively large, conspicuous, vocal, and mostly diurnal creatures, making it relatively easy for humans to tell apart. Even so, new species continue to be discovered; these usually represent distinct forms within what were thought to be single species. In 27 February 2007 Mol Phylogenetics Evol, Arpad Nyari, University of Kansas, reports on molecular and vocal differentiation in a widespread South American songbird, the Thrush-like Schiffornis Schiffornis turdinus. S. turdinus is a “dull-colored, secretive bird distributed throughout Neotropical humid lowland forests from southeastern Mexico south to northern Bolivia and the Atlantic Forest of southeastern Brazil.”  The thirteen recognized subspecies show “subtle differences in plumage hue and intensity, and body size”. How to sort out which forms might represent distinct species?

Nyari analyzed 38 individuals representing 10 of the 13 subspecies, plus 3 congeneric individuals of S. virescens or S. major. 8 of the 41 specimens were from University of Kansas, and the remainder were loaned from 6 museum collections in the US and Brazil, which highlights the distributed nature of avian tissue collections and the benefit of sharing resources. 2475 bp of mtDNA including COI barcode region, ND2, and cytochrome b were sequenced as molecular markers. Vocalizations were downloaded from Macaulay Library of Natural Sounds, Cornell University and spectrographs analyzed with RAVEN bioacoustic software which is provided on the Cornell site. The ability to combine these disparate data sets hints at power of making biological data widely available. Molecular analysis revealed 7 distinct geographically restricted clades, 5 of which had characteristic vocalizations. On this basis, S. turdina is recommended to be split into 5 species.  When analyzed separately, the COI barcode region (615 bp) recovered the same 7 clades as the full 2475 bp. As in other studies, the branching order among clades and congenerics was better shown with the larger data set.  

To my reading, this and other studies suggest that large-scale COI barcode screening of avian tissue collections will be a scientifically productive and efficient approach that will speed discovery of new bird species and advance understanding of avian diversity. As in Kerr et al’s recent study of North American birds, it seems likely that many or most of the new bird species awaiting discovery will be found among birds similarly inconspicuous as S. turdinus. 

Among the 35,000 known species of noctuid moths, a number are destructive agricultural pests, including for example Corn earworm Helicoverpa zea and Tobacco budworm Heliothis virescens. Accurate identification is the essential first step in pest management, but morphologic identification can be difficult, particularly of eggs and larval forms.

In September 2007 African Entomology, researchers from South Africa, Australia, and France analyze COI mtDNA of Busseola sp. larva in Ethiopian sugarcane. The DNA barcode region of COI was amplified from 7 morphologically-indistinguishable larval specimens using standard invertebrate primers (Folmer et al, Mol Marine Biol Biotech 3:294, 1994). Rearing of the larva was attempted, but none of the collected larva developed to the adult stage. Sequence analysis revealed two distinct clusters that matched sequences derived from adult B. fusca and B. phaia. Assefa and co-authors conclude “DNA-based methods were found to be a quick, easy and reliable method for identification of species…[and] may then be solutions for conditions in Africa where there is an acute shortage of experts and rearing facilities to keep field-collected insects alive until emergence of adults for morphological identification.”

“The first part of knowledge is getting the names right.”   Chinese proverb quoted in Evolution of Insects, Grimaldi and Engel, 2005.

Species names are the primary entrance for accessing biological knowledge about organisms. However, the tangled bank of nomenclature created by 250 years of diverse communities of taxonomic specialists working largely in isolation challenges those seeking knowledge. It can be difficult to know what is already known. Identifying even well-studied organisms in backyards, such as North American ants for example, may require graduate-level training. As taxonomic knowledge moves increasingly onto the web, tools that enable non-specialists and specialists alike to access biological knowledge of organisms are beginning to be developed. In my view, the solution will be a combination of information science tools enabling access to biological literature together with a universal library of standardized genetic sequences, ie DNA barcodes, and simple technologies for barcode sequencing. 

An exciting development in taxonomic information science is uBio (Universal Biological Indexer and Organizer) www.ubio.org, “an initiative within the science library community to join international efforts to create and utilize a comprehensive and collaborative catalog of known names of all living (and once-living) organisms. The Taxonomic Name Server (10,699,999 NameBank records so far) catalogs names and classifications to enable tools that can help users find information on living things using any of the names that may be related to an organism.??” 

The uBio site provides a sophisticated and enjoyable illustrated introduction (excerpt at right) to the variety of challenges in retrieving information using organism names. Another feature is Nomenclator Zoologicus, a searchable list of the names of genera and subgenera in zoology from the tenth edition of Linnaeus 1758 to the end of 2004, developed with Zoological Society of London. uBio is helping organize and index Encyclopedia of Life (“a web page for every species”) and Biodiversity Heritage Library (1.124 million pages digitized and on the web so far). 

I close with an example from birds. Some taxonomic confusion reflects the struggle to integrate older works that use outdated taxon names or species limits with modern knowledge. Other discordances reflect lack of consensus among current experts. Given the intensity of scientific study and public interest in birds, it is surprising there is no single authoritative world checklist, especially since most of the differences at the species level reflect minor disagreements about generic assignment, a few cases of splitting/lumping, or differences in spelling. As one step until there is an expert consensus checklist, for those interested in birds, we have prepared an “ABBI Name Lookup” (Excel, 8 MB) file for harmonizing specimen lists that recognizes 2,462 synonyms, alternate and misspellings, and extinct species.