High Rate of Large Deletions in Caenorhabditis briggsae Mitochondrial Genome Mutation Processes

Mitochondrial DNA (mtDNA) mutations underlie a variety of human genetic disorders and are associated with the aging process. mtDNA polymorphisms are widely used in a variety of evolutionary applications. Although mtDNA mutation spectra are known to differ between distantly related model organisms, the extent to which mtDNA mutation processes vary between more closely related species and within species remains enigmatic. We analyzed mtDNA divergence in two sets of 250-generation Caenorhabditis briggsae mutation-accumulation (MA) lines, each derived from a different natural isolate progenitor: strain HK104 from Okayama, Japan, and strain PB800 from Ohio, United States. Both sets of C. briggsae MA lines accumulated numerous large heteroplasmic mtDNA deletions, whereas only one similar event was observed in a previous analysis of Caenorhabditis elegans MA line mtDNA. Homopolymer length change mutations were frequent in both sets of C. briggsae MA lines and occurred in both intergenic and protein-coding gene regions. The spectrum of C. briggsae mtDNA base substitution mutations differed from the spectrum previously observed in C. elegans. In C. briggsae, the HK104 MA lines experienced many different base substitution types, whereas the PB800 lines displayed only C:G → T:A transitions, although the difference was not significant. Over half of the mtDNA base substitutions detected in the C. briggsae MA lines were in a heteroplasmic state, whereas all those previously characterized in C. elegans MA line mtDNA were fixed changes, indicating a narrower mtDNA bottleneck in C. elegans as compared with C. briggsae. Our results show that C. briggsae mtDNA is highly susceptible to large deletions and that the mitochondrial mutation process varies between Caenorhabditis nematode species

Pattern completion and the medial temporal lobe memory system

Pattern completion is a mechanism that allows us to infer a whole unit based on partial information. Memory theorists have posited that hippocampal pattern completion underlies recollection of episodic memories. To provide an introduction to hippocampal pattern completion and to illustrate the current state of research, we first address its psychological conceptualization for recollection and then outline the neuroanatomy and computational models of the hippocampal circuitry relevant for pattern completion. We further review neurophysiological investigations in rodents and studies on hippocampal pattern completion in humans. Finally, we discuss unresolved conceptual issues and open questions regarding the role of hippocampal pattern completion within and beyond episodic memory

mtDNA variation in the Buryat population of the Barguzin Valley: New insights into the micro-evolutionary history of the Baikal area.

International audienceBACKGROUND: Southern Siberian populations, including the Buryat, have been of great interest in investigating the exchanges between Eastern and Western Eurasia and understanding the peopling of Siberia and the New World. AIM: Previous studies mainly employed a phylogenetic approach, and thus used pooled samples to detect a maximum of variability. As different sampling strategies may result in different pictures of a population's evolutionary history, we proposed in this study to focus on a local Buryat population selected on the basis of geographical, archaeological and ethno-historical data. SUBJECTS AND METHODS: This study investigated a local population from the Barguzin Valley, on the north-western shores of Lake Baikal identified as the most likely place of Buryat origin. We analysed mitochondrial DNA (mtDNA) RFLPs markers, HVS-I and HVS-II sequences to discuss the genetic variability of this population, and to compare our local sample with pooled Buryat samples and neighbouring Siberian populations. RESULTS: The Barguzin Buryat sample shows depressed neutrality scores compared to the pooled Buryat sample, and different genetic affinities with the Mongol and Turco-Evenk populations. CONCLUSION: These results underline the need to use local samples, in addition to pooled samples, to investigate the history of human populations at the micro-evolutionary level

Using taxonomic consistency with semi‐automated data pre‐processing for high quality DNA barcodes

1. In recent years, large‐scale DNA barcoding campaigns have generated an enormous amount of COI barcodes, which are usually stored in NCBI's GenBank and the official Barcode of Life database (BOLD). BOLD data are generally associated with more detailed and better curated meta‐data, because a great proportion is based on expert‐verified and vouchered material, accessible in public collections. In the course of the initiative German Barcode of Life data were generated for the reference library of 2,846 species of Coleoptera from 13,516 individuals. 2. Confronted with the high effort associated with the identification, verification and data validation, a bioinformatic pipeline, “TaxCI” was developed that (1) identifies taxonomic inconsistencies in a given tree topology (optionally including a reference dataset), (2) discriminates between different cases of incongruence in order to identify contamination or misidentified specimens, (3) graphically marks those cases in the tree, which finally can be checked again and, if needed, corrected or removed from the dataset. For this, “TaxCI” may use DNA‐based species delimitations from other approaches (e.g. mPTP) or may perform implemented threshold‐based clustering. 3. The data‐processing pipeline was tested on a newly generated set of barcodes, using the available BOLD records as a reference. A data revision based on the first run of the TaxCI tool resulted in the second TaxCI analysis in a taxonomic match ratio very similar to the one recorded from the reference set (92% vs. 94%). The revised dataset improved by nearly 20% through this procedure compared to the original, uncorrected one. 4. Overall, the new processing pipeline for DNA barcode data allows for the rapid and easy identification of inconsistencies in large datasets, which can be dealt with before submitting them to public data repositories like BOLD or GenBank. Ultimately, this will increase the quality of submitted data and the speed of data submission, while primarily avoiding the deterioration of the accuracy of the data repositories due to ambiguously identified or contaminated specimens