Summary: RDP3 is a new version of the RDP program for characterizing recombination events in DNA-sequence alignments. Among other novelties, this version includes four new recombination analysis methods (3SEQ, VISRD, PHYLRO and LDHAT), new tests for recombination hot-spots, a range of matrix methods for visualizing over-all patterns of recombination within datasets and recombination-aware ancestral sequence reconstruction. Complementary to a high degree of analysis flow automation, RDP3 also has a highly interactive and detailed graphical user interface that enables more focused hands-on cross-checking of results with a wide variety of newly implemented phylogenetic tree construction and matrix-based recombination signal visualization methods. The new RDP3 can accommodate large datasets and is capable of analyzing alignments ranging in size from kilobase sequences to megabase sequences within 48 h on a desktop PC.Availability: RDP3 is available for free from its web site http://darwin.uvigo.es/rdp/rdp.htmlContact: darrenpatrickmartin@gmail.comSupplementary information: The RDP3 program manual contains detailed descriptions of the various methods it implements and a step-by-step guide describing how best to use these.
To manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard data sets that were collected in Malaysia (tropical), China (subtropical) and the United Kingdom (temperate) and that comprised 55,813 arthropod and bird specimens identified to species level with the expenditure of 2,505 person-hours of taxonomic expertise. The metabarcode and standard data sets exhibit statistically correlated alpha-and beta-diversities, and the two data sets produce similar policy conclusions for two conservation applications: restoration ecology and systematic conservation planning. Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution.
In recent studies, phylogenetic networks have been derived from so-called multilabeled trees in order to understand the origins of certain polyploids. Although the trees used in these studies were constructed using sophisticated techniques in phylogenetic analysis, the presented networks were inferred using ad hoc arguments that cannot be easily extended to larger, more complicated examples. In this paper, we present a general method for constructing such networks, which takes as input a multilabeled phylogenetic tree and outputs a phylogenetic network with certain desirable properties. To illustrate the applicability of our method, we discuss its use in reconstructing the evolutionary history of plant allopolyploids. We conclude with a discussion concerning possible future directions. The network construction method has been implemented and is freely available for use from http://www.uea.ac.uk/ approximately a043878/padre.html.
The dietary component SFN demonstrates an ability to protect human lens cells against oxidative stress and thus could potentially delay the onset of cataract.
Background: Gene trees that arise in the context of reconstructing the evolutionary history of polyploid species are often multiply-labeled, that is, the same leaf label can occur several times in a single tree. This property considerably complicates the task of forming a consensus of a collection of such trees compared to usual phylogenetic trees.
Background: Recombination has a profound impact on the evolution of viruses, but characterizing recombination patterns in molecular sequences remains a challenging endeavor. Despite its importance in molecular evolutionary studies, identifying the sequences that exhibit such patterns has received comparatively less attention in the recombination detection framework. Here, we extend a quartet-mapping based recombination detection method to enable identification of recombinant sequences without prior specifications of either query and reference sequences. Through simulations we evaluate different recombinant identification statistics and significance tests. We compare the quartet approach with triplet-based methods that employ additional heuristic tests to identify parental and recombinant sequences.
Myotonic dystrophy (DM) is caused by a triplet repeat expansion in the non-coding region of either the DMPK (DM1) or CNBP (DM2) gene. Transcription of the expanded region causes accumulation of double-stranded RNA (dsRNA) in DM cells. We sought to determine how expression of triplet repeat RNA causes the varied phenotype typical of DM. Global transcription was measured in DM and non-DM cataract samples using Illumina Bead Arrays. DM samples were compared with non-DM samples and lists of differentially expressed genes (P≤ 0.05) were prepared. Gene set enrichment analysis and the Interferome database were used to search for significant patterns of gene expression in DM cells. Expression of individual genes was measured using quantitative real-time polymerase chain reaction. DMPK and CNBP expression was confirmed in native lens cells showing that a toxic RNA gain of function mechanism could exist in lens. A high proportion, 83% in DM1 and 75% in DM2, of the significantly disregulated genes were shared by both forms of the disease, suggesting a common mechanism. The upregulated genes in DM1 and DM2 were highly enriched in both interferon-regulated genes (IRGs) and genes associated with the response to dsRNA and the innate immune response. The characteristic fingerprint of IRGs and the signalling pathways identified in lens cells support a role for dsRNA activation of the innate immune response in the pathology of DM. This new evidence forms the basis for a novel hypothesis to explain the complex mechanism of DM.
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