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Novel, porous, functionalised silica particles have been developed with controlled morphology, which promote covalent attachment of fluorescent dyes which can act as an optical barcode.
With millions of species and their life-stage transformations, the animal kingdom provides a challenging target for taxonomy. Recent work has suggested that a DNA-based identification system, founded on the mitochondrial gene, cytochrome c oxidase subunit 1 (COI), can aid the resolution of this diversity. While past work has validated the ability of COI sequences to diagnose species in certain taxonomic groups, the present study extends these analyses across the animal kingdom. The results indicate that sequence divergences at COI regularly enable the discrimination of closely allied species in all animal phyla except the Cnidaria. This success in species diagnosis reflects both the high rates of sequence change at COI in most animal groups and constraints on intraspecific mitochondrial DNA divergence arising, at least in part, through selective sweeps mediated via interactions with the nuclear genome.
We present a genome assembly from an individual female Chrysoperla carnea (a common green lacewing; Arthropoda; Insecta; Neuroptera; Chrysopidae). The genome sequence is 560 megabases in span. The majority of the assembly (95.70%) is scaffolded into six chromosomal pseudomolecules, with the X sex chromosome assembled. Gene annotation of this assembly by the NCBI Eukaryotic Genome Annotation Pipeline has identified 12,985 protein coding genes.
We present a genome assembly from an individual female Eristalis arbustorum (the plain-faced dronefly; Arthropoda; Insecta; Diptera; Syriphidae). The genome sequence is 451 megabases in span. The majority of the assembly (94.71%) is scaffolded into 6 chromosomal pseudomolecules, with the X sex chromosome assembled. The complete mitochondrial genome was also assembled and is 16.0 kilobases in length.
We present the haploid genome assembly of an individual male Seladonia tumulorum (the bronze furrow bee; Arthropoda; Insecta; Hymenoptera; Halictidae). The genome sequence is 479 megabases in span. Most of the assembly (84.28%) is scaffolded into 17 chromosomal pseudomolecules. The mitochondrial genome was also assembled and is 17.3 kilobases in length. Gene annotation of this assembly on Ensembl identified 19,308 protein-coding genes. This assembly was generated as part of the Darwin Tree of Life project, which produces reference genomes for eukaryotic species found in Britain and Ireland.
We present a genome assembly from an individual male Chloroclysta siterata (the Red-green Carpet; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence is 437.9 megabases in span. Most of the assembly is scaffolded into 21 chromosomal pseudomolecules including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.7 kilobases in length. Gene annotation of this assembly on Ensembl identified 11,814 protein coding genes.
We present a genome assembly from an individual female Acleris cristana (the Tufted Button; Arthropoda; Insecta; Lepidoptera; Tortricidae). The genome sequence is 562.6 megabases in span. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the W and Z sex chromosomes. The mitochondrial genome has also been assembled and is 16.1 kilobases in length. Gene annotation of this assembly on Ensembl identified 12,598 protein coding genes.
We present a genome assembly from an individual male Tenthredo distinguenda (the small wasp-sawfly; Arthropoda; Insecta; Hymenoptera; Tenthredinidae). The genome sequence is 229.4 megabases in span. Most of the assembly is scaffolded into 9 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 31.6 kilobases in length. Gene annotation of this assembly on Ensembl identified 11,332 protein coding genes.
We present a genome assembly from an individual female Stomorhina lunata (the Locust Fly; Arthropoda; Insecta; Diptera; Rhiniidae). The genome sequence is 728.1 megabases in span. Most of the assembly is scaffolded into 6 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled and is 16.49 kilobases in length. Gene annotation of this assembly on Ensembl identified 18,358 protein coding genes.
We present a genome assembly from an individual male Ptilodon capucinus (the Coxcomb Prominent; Arthropoda; Insecta; Lepidoptera; Notodontidae). The genome sequence is 348.7 megabases in span. The assembly is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.38 kilobases in length. Gene annotation of this assembly on Ensembl identified 16,968 protein coding genes.
We present a genome assembly from an individual male Agriopis aurantiaria (the Scarce Umber; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence is 485.4 megabases in span. The whole assembly is scaffolded into 30 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.44 kilobases in length. Gene annotation of this assembly on Ensembl identified 16,963 protein coding genes.
We present a genome assembly from an individual male Eugnorisma glareosa (the Autumnal Rustic; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 631.0 megabases in span. Most of the assembly is scaffolded into 30 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.39 kilobases in length. Gene annotation of this assembly on Ensembl identified 19,768 protein coding genes.
We present a genome assembly from an individual female Xestia sexstrigata (the Six-striped Rustic; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 638.3 megabases in span. Most of the assembly is scaffolded into 32 chromosomal pseudomolecules, including the W and Z sex chromosomes. The mitochondrial genome has also been assembled and is 15.36 kilobases in length. Gene annotation of this assembly on Ensembl identified 15,104 protein coding genes.
We describe a microarray-based screen performed by imposing different genetic selections on thousands of yeast mutants in parallel, representing most genes in the yeast genome. The presence or absence of mutants was detected by oligonucleotide arrays that hybridize to 20-nucleotide "barcodes." We used this method to screen for components of the nonhomologous end-joining (NHEJ) pathway. Known components of the pathway were identified, as well as a gene not previously known to be involved in NHEJ, NEJ1. Nej1 protein interacts with the amino terminus of LIF1/XRCC4, a recently recognized "guardian of the genome" against cancer.
Venerinae (Heterodonta: Veneridae) is a diverse, commercially important, and cosmopolitan marine bivalve subfamily. Recent workers synonymized it with the subfamily Chioninae, due to their overall morphological similarity. The use of traditional shell-based characters alone, however, is questionable for resolving phylogenetic relationships of this group. A phylogenetic study was carried out, based on nucleotide sequences of the mitochondrial large ribosomal subunit (16S), cytochrome oxidase subunit I (COI), and the nuclear protein-coding gene histone 3, to investigate the relationships and circumscription of Venerinae and the phylogenetic pattern of characters in this group. This study consists of a total of 55 taxa: 13 venerine genera, 24 chionine taxa, and 18 taxa of other venerid subfamilies. We analyzed the alignments using a Bayesian approach using Markov Chain Monte Carlo tree sampling and maximum parsimony methods. The resulting phylogenetic hypothesis suggests that Chioninae and Venerinae are actually discrete taxa, but that the circumscription suffered from misplacement of some genera. Our analysis showed that the former chionine genera Chamelea and Clausinella should be placed in Venerinae, as sister taxa to Venus. We re-analyzed morphological and anatomical features in light of the molecular data to describe monophyletic entities. Features of the hinge and internal shell as well as the degree of siphonal fusion are identified as characters to morphologically distinguish the two subfamilies. Of the three genes used in this study, only COI (commonly used as "barcoding" gene) posed substantial problems in obtaining sequence data from older museum material.
Analysis of mitochondrial DNA sequence variation has been used extensively to study the evolutionary relationships of individuals and populations, both within and across species. So ubiquitous and easily acquired are mtDNA data that it has been suggested that such data could serve as a taxonomic 'barcode' for an objective species classification scheme. However, there are technical pitfalls associated with the acquisition of mtDNA data. One problem is the presence of translocated pieces of mtDNA in the nuclear genome of many taxa that may be mistaken for authentic organellar mtDNA. We assessed the extent to which such 'numt' sequences may pose an overlooked problem in analyses of mtDNA from humans and apes. Using long-range polymerase chain reaction (PCR), we generated necessarily authentic mtDNA sequences for comparison with sequences obtained using typical methods for a segment of the mtDNA control region in humans, chimpanzees, bonobos, gorillas and orangutans. Results revealed that gorillas are notable for having such a variety of numt sequences bearing high similarity to authentic mtDNA that any analysis of mtDNA using standard approaches is rendered impossible. Studies on humans, chimpanzees, bonobos or orangutans are apparently less problematic. One implication is that explicit measures need to be taken to authenticate mtDNA sequences in newly studied taxa or when any irregularities arise. Furthermore, some taxa may not be amenable to analysis of mtDNA variation at all.
RNA interference (RNAi) has revolutionized the study of biology and offers numerous applications in basic biology as well as in drug discovery research. Since the discovery of RNAi, several tools have been developed to enable loss-of-function studies in mammalian systems. The efficacy of RNAi is dependent on specific and versatile RNAi triggers that have evolved to enable transient, stable and in-vivo applications. Recently developed genome-wide short hairpin RNA (shRNA) and microRNA-adapted short hairpin RNA (shRNAmir) libraries incorporate advances in shRNA design and molecular 'barcodes' to enable more complex RNAi screens and the opportunity to progress to more complex genetics in whole animals.
Molecular epidemiology uses biomarkers and advanced technology to refine the investigation of the relationship between environmental exposures and diseases in humans. It requires careful handling and storage of precious biological samples with the goals of obtaining a large amount of information from limited samples, and minimizing future research costs by use of banked samples. Many factors, such as tissue type, time of collection, containers used, preservatives and other additives, transport means and length of transit time, affect the quality of the samples and the stability of biomarkers and must be considered at the initial collection stage. An efficient study design includes provisions for further processing of the original samples, such as cryopreservation of isolated cells, purification of DNA and RNA, and preparation of specimens for cytogenetic, immunological and biochemical analyses. Given the multiple uses of the samples in molecular epidemiology studies, appropriate informed consent must be obtained from the study subjects prior to sample collection. Use of barcoding and electronic databases allow more efficient management of large sample banks. Development of standard operating procedures and quality control plans is a safeguard of the samples' quality and of the validity of the analyses results. Finally, specific state, federal and international regulations are in place regarding research with human samples, governing areas including custody, safety of handling, and transport of human samples, as well as communication of study results.Here, we focus on the factors affecting the quality and the potential future use of biological samples and some of the provisions that must be made during collection, processing, and storage of samples, based on our experience in the Superfund Basic Research Program and Children's Environmental Health Center, at the University of California, Berkeley.