Although much biological research depends upon species diagnoses, taxonomic expertise is collapsing. We are convinced that the sole prospect for a sustainable identification capability lies in the construction of systems that employ DNA sequences as taxon ‘barcodes’. It was established previously that the mitochondrial gene cytochrome c oxidase I (COI) can serve as the core of a global bioidentification system for animals. A new tools were developed recently to be complementary markers for (COI) DNA barcoding.

/pdf/biological-identifications-through-dna-barcodes-5cswubf8ol.pdf

Biological Identifications Through DNA Barcodes

We present an in silico approach for the reconstruction of complete mitochondrial genomes of nonmodel organisms directly from next-generation sequencing (NGS) data—mitochondrial baiting and iterative mapping (MITObim). The method is straightforward even if only (i) distantly related mitochondrial genomes or (ii) mitochondrial barcode sequences are available as starting-reference sequences or seeds, respectively. We demonstrate the efficiency of the approach in case studies using real NGS data sets of the two monogenean ectoparasites species Gyrodactylus thymalli and Gyrodactylus derjavinoides including their respective teleost hosts European grayling (Thymallus thymallus) and Rainbow trout (Oncorhynchus mykiss). MITObim appeared superior to existing tools in terms of accuracy, runtime and memory requirements and fully automatically recovered mitochondrial genomes exceeding 99.5% accuracy from total genomic DNA derived NGS data sets in <24 h using a standard desktop computer. The approach overcomes the limitations of traditional strategies for obtaining mitochondrial genomes for species with little or no mitochondrial sequence information at hand and represents a fast and highly efficient in silico alternative to laborious conventional strategies relying on initial long-range PCR. We furthermore demonstrate the applicability of MITObim for metagenomic/pooled data sets using simulated data. MITObim is an easy to use tool even for biologists with modest bioinformatics experience. The software is made available as open source pipeline under the MIT license at https://github.com/ chrishah/MITObim.

/pdf/reconstructing-mitochondrial-genomes-directly-from-genomic-2x03m1bk2z.pdf

Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approach

Environmental DNA - An emerging tool in conservation for monitoring past and present biodiversity

Background
The plant working group of the Consortium for the Barcode of Life recommended the two-locus combination of rbcL + matK as the plant barcode, yet the combination was shown to successfully discriminate among 907 samples from 550 species at the species level with a probability of 72%. The group admits that the two-locus barcode is far from perfect due to the low identification rate, and the search is not over.

/pdf/validation-of-the-its2-region-as-a-novel-dna-barcode-for-4wtt0ffynn.pdf

Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species.

Virtually all empirical ecological studies require species identification during data collection. DNA metabarcoding refers to the automated identification of multiple species from a single bulk sample containing entire organisms or from a single environmental sample containing degraded DNA (soil, water, faeces, etc.). It can be implemented for both modern and ancient environmental samples. The availability of next-generation sequencing platforms and the ecologists' need for high-throughput taxon identification have facilitated the emergence of DNA metabarcoding. The potential power of DNA metabarcoding as it is implemented today is limited mainly by its dependency on PCR and by the considerable investment needed to build comprehensive taxonomic reference libraries. Further developments associated with the impressive progress in DNA sequencing will eliminate the currently required DNA amplification step, and comprehensive taxonomic reference libraries composed of whole organellar genomes and repetitive ribosomal nuclear DNA can be built based on the well-curated DNA extract collections maintained by standardized barcoding initiatives. The near-term future of DNA metabarcoding has an enormous potential to boost data acquisition in biodiversity research.

Towards next‐generation biodiversity assessment using DNA metabarcoding

http://www.biodados.icb.ufmg.br/cromatina/biomol/2008/sem/grupo7.pdf

DNA barcoding: how it complements taxonomy, molecular phylogenetics and population genetics

The goal of DNA barcoding is to develop a species-specific sequence library for all eukaryotes. A 650 bp fragment of the cytochrome c oxidase 1 (CO1) gene has been used successfully for species-level identification in several animal groups. It may be difficult in practice, however, to retrieve a 650 bp fragment from archival specimens, (because of DNA degradation) or from environmental samples (where universal primers are needed). We used a bioinformatics analysis using all CO1 barcode sequences from GenBank and calculated the probability of having species-specific barcodes for varied size fragments. This analysis established the potential of much smaller fragments, mini-barcodes, for identifying unknown specimens. We then developed a universal primer set for the amplification of mini-barcodes. We further successfully tested the utility of this primer set on a comprehensive set of taxa from all major eukaryotic groups as well as archival specimens. In this study we address the important issue of minimum amount of sequence information required for identifying species in DNA barcoding. We establish a novel approach based on a much shorter barcode sequence and demonstrate its effectiveness in archival specimens. This approach will significantly broaden the application of DNA barcoding in biodiversity studies.

/pdf/a-universal-dna-mini-barcode-for-biodiversity-analysis-1g3ydr2ou9.pdf

A universal DNA mini-barcode for biodiversity analysis

Timely and accurate biodiversity analysis poses an ongoing challenge for the success of biomonitoring programs. Morphology-based identification of bioindicator taxa is time consuming, and rarely supports species-level resolution especially for immature life stages. Much work has been done in the past decade to develop alternative approaches for biodiversity analysis using DNA sequence-based approaches such as molecular phylogenetics and DNA barcoding. On-going assembly of DNA barcode reference libraries will provide the basis for a DNA-based identification system. The use of recently introduced next-generation sequencing (NGS) approaches in biodiversity science has the potential to further extend the application of DNA information for routine biomonitoring applications to an unprecedented scale. Here we demonstrate the feasibility of using 454 massively parallel pyrosequencing for species-level analysis of freshwater benthic macroinvertebrate taxa commonly used for biomonitoring. We designed our experiments in order to directly compare morphology-based, Sanger sequencing DNA barcoding, and next-generation environmental barcoding approaches. Our results show the ability of 454 pyrosequencing of mini-barcodes to accurately identify all species with more than 1% abundance in the pooled mixture. Although the approach failed to identify 6 rare species in the mixture, the presence of sequences from 9 species that were not represented by individuals in the mixture provides evidence that DNA based analysis may yet provide a valuable approach in finding rare species in bulk environmental samples. We further demonstrate the application of the environmental barcoding approach by comparing benthic macroinvertebrates from an urban region to those obtained from a conservation area. Although considerable effort will be required to robustly optimize NGS tools to identify species from bulk environmental samples, our results indicate the potential of an environmental barcoding approach for biomonitoring programs.

/pdf/environmental-barcoding-a-next-generation-sequencing-2zrtod343a.pdf

Environmental barcoding: a next-generation sequencing approach for biomonitoring applications using river benthos.

We analyzed the nucleotide contents of several completely sequenced genomes, and we show that nucleotide bias can have a dramatic effect on the amino acid composition of the encoded proteins. By surveying the genes in 21 completely sequenced eubacterial and archaeal genomes, along with the entire Saccharomyces cerevisiae genome and two Plasmodium falciparum chromosomes, we show that biased DNA encodes biased proteins on a genomewide scale. The predicted bias affects virtually all genes within the genome, and it could be clearly seen even when we limited the analysis to sets of homologous gene sequences. Parallel patterns of compositional bias were found within the archaea and the eubacteria. We also found a positive correlation between the degree of amino acid bias and the magnitude of protein sequence divergence. We conclude that mutational bias can have a major effect on the molecular evolution of proteins. These results could have important implications for the interpretation of protein-based molecular phylogenies and for the inference of functional protein adaptation from comparative sequence data.

/pdf/nucleotide-bias-causes-a-genomewide-bias-in-the-amino-acid-35lb0j5avr.pdf

Nucleotide Bias Causes a Genomewide Bias in the Amino Acid Composition of Proteins

The patterns of synonymous codon usage, both within and among genomes, have been extensively studied over the past two decades. Despite the accumulating evidence that natural selection can shape codon usage, it has not been possible to link a particular pattern of codon usage to a specific external selective force. Here, we have analyzed the patterns of synonymous codon usage in 40 completely sequenced prokaryotic genomes. By combining the genes from several genomes (more than 80 000 genes in all) into a single dataset for this analysis, we were able to investigate variations in codon usage, both within and between genomes. The results show that synonymous codon usage is affected by two major factors: (i) the overall G+C content of the genome and (ii) growth at high temperature. This study focused on the relationship between synonymous codon usage and the ability to grow at high temperature. We have been able to eliminate both phylogenetic history and lateral gene transfer as possible explanations for the characteristic pattern of codon usage among the thermophiles. Thus, these results demonstrate a clear link between a particular pattern of codon usage and an external selective force.

/pdf/synonymous-codon-usage-is-subject-to-selection-in-3eesa5qn6f.pdf

Gregory A. C. Singer

Papers

DNA barcoding: how it complements taxonomy, molecular phylogenetics and population genetics

A universal DNA mini-barcode for biodiversity analysis

Environmental barcoding: a next-generation sequencing approach for biomonitoring applications using river benthos.

Nucleotide Bias Causes a Genomewide Bias in the Amino Acid Composition of Proteins

Synonymous codon usage is subject to selection in thermophilic bacteria