Incomplete Sequences Research Articles

An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction

During visuomotor tasks, robots must compensate for temporal delays inherent in their sensorimotor processing systems. Delay compensation becomes crucial in a dynamic environment where the visual input is constantly changing, e.g., during the interaction with a human demonstrator. For this purpose, the robot must be equipped with a prediction mechanism for using the acquired perceptual experience to estimate possible future motor commands. In this paper, we present a novel neural network architecture that learns prototypical visuomotor representations and provides reliable predictions on the basis of the visual input. These predictions are used to compensate for the delayed motor behavior in an online manner. We investigate the performance of our method with a set of experiments comprising a humanoid robot that has to learn and generate visually perceived arm motion trajectories. We evaluate the accuracy in terms of mean prediction error and analyze the response of the network to novel movement demonstrations. Additionally, we report experiments with incomplete data sequences, showing the robustness of the proposed architecture in the case of a noisy visual input.

A 2-approximation algorithm for the contig-based genomic scaffold filling problem.

The genomic scaffold filling problem has attracted a lot of attention recently. The problem is on filling an incomplete sequence (scaffold) <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>I</mml:mi></mml:math> into <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>'</mml:mi></mml:mrow></mml:msup></mml:math> , with respect to a complete reference genome <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>G</mml:mi></mml:math> , such that the number of common/shared adjacencies between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>G</mml:mi></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>'</mml:mi></mml:mrow></mml:msup></mml:math> is maximized. The problem is NP-complete, and admits a constant-factor approximation. However, the sequence input <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>I</mml:mi></mml:math> is not quite practical and does not fit most of the real datasets (where a scaffold is more often given as a list of contigs). In this paper, we revisit the genomic scaffold filling problem by considering this important case when a scaffold <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>S</mml:mi></mml:math> is given, the missing genes can only be inserted in between the contigs, and the objective is to maximize the number of common adjacencies between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>G</mml:mi></mml:math> and the filled genome <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mi>'</mml:mi></mml:mrow></mml:msup></mml:math> . For this problem, we present a simple NP-completeness proof, we then present a factor-2 approximation algorithm.

RNAcentral: a hub of information for non-coding RNA sequences.

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences, collating information on ncRNA sequences of all types from a broad range of organisms. We have recently added a new genome mapping pipeline that identifies genomic locations for ncRNA sequences in 296 species. We have also added several new types of functional annotations, such as tRNA secondary structures, Gene Ontology annotations, and miRNA-target interactions. A new quality control mechanism based on Rfam family assignments identifies potential contamination, incomplete sequences, and more. The RNAcentral database has become a vital component of many workflows in the RNA community, serving as both the primary source of sequence data for academic and commercial groups, as well as a source of stable accessions for the annotation of genomic and functional features. These examples are facilitated by an improved RNAcentral web interface, which features an updated genome browser, a new sequence feature viewer, and improved text search functionality. RNAcentral is freely available at https://rnacentral.org.

Combining morpho-taxonomy and metabarcoding enhances the detection of non-indigenous marine pests in biofouling communities

Marine infrastructure can favor the spread of non-indigenous marine biofouling species by providing a suitable habitat for them to proliferate. Cryptic organisms or those in early life stages can be difficult to distinguish by conventional morphological taxonomy. Molecular tools, such as metabarcoding, may improve their detection. In this study, the ability of morpho-taxonomy and metabarcoding (18S rRNA and COI) using three reference databases (PR2, BOLD and NCBI) to characterize biodiversity and detect non-indigenous species (NIS) in biofouling was compared on 60 passive samplers deployed over summer and winter in a New Zealand marina. Highest resolution of metazoan taxa was identified using 18S rRNA assigned to PR2. There were higher assignment rates to NCBI reference sequences, but poorer taxonomic identification. Using all methods, 48 potential NIS were identified. Metabarcoding detected the largest proportion of those NIS: 77% via 18S rRNA/PR2 and NCBI and 35% via COI/BOLD and NCBI. Morpho-taxonomy detected an additional 14% of all identified NIS comprising mainly of bryozoan taxa. The data highlight several on-going challenges, including: differential marker resolution, primer biases, incomplete sequence reference databases, and variations in bioinformatic pipelines. Combining morpho-taxonomy and molecular analysis methods will likely enhance the detection of NIS from complex biofouling.

Articles embedded in English formulaic sequences: Complete and incomplete sequences used by Korean college students

The present study explores to what extent Korean college students produce articles embedded in English multiword sequences, or lexical bundles (LBs), that occur frequently in native English-speaking college students’ writing. Little effort has been made so far to spot where nonnative writers experience difficulty in the use of LBs, although erroneous uses of bundles are not uncommon in L2 written work. Focusing on articles embedded in LBs, this study explores nonnative writers’ efforts to use the LBs (i.e., including those with article errors) in the argumentative essay register, and discusses how their production of incomplete LBs could affect differences in the use of the bundles between native and nonnative groups in the same register. The results demonstrate that discrepancies between the two groups’ LB usage decrease when the analysis includes the learners’ incomplete bundles with article errors, and that most of their article errors are related to cataphoric uses involving postmodification.

Full gene HLA class I sequences of 79 novel and 519 mostly uncommon alleles from a large United States registry population

HLA class I assignments were obtained at single genotype, G-level resolution from 98 855 volunteers for an unrelated donor registry in the United States. In spite of the diverse ancestry of the volunteers, over 99% of the assignments at each locus are common. Within this population, 52 novel alleles differing in exons 2 and 3 are identified and characterized. Previously reported alleles with incomplete sequences in the IPD-IMGT/HLA database (n = 519) were selected for full gene sequencing and, from this sampling, another 27 novel alleles are described.

Forecasting Multiphase Magma Failure at the Laboratory Scale Using Acoustic Emission Data

Magmas fracture under high shear stresses, producing radiating elastic waves. At the volcano scale, eruption is often preceded by accelerating seismicity, while at the laboratory scales, sample failure appears to be preceded by similarly accelerating Acoustic Emission (AE). In both cases, empirical relationships between the acceleration and the time of the singular final event have offered tantalizing possibilities for prediction of eruptions and material failure. We explore the success of these tools in the laboratory by briefly reviewing datasets that have been presented previously and comparing the range of errors on forecast times with the range of errors associated with attempts to retrospectively forecast eruptions. We demonstrate that the heterogeneity of a system is crucial to making accurate forecasts on the sample scale, such that homogeneous systems are inherently unpredictable. We then analyse the effect of having an incomplete data sequence, as might be the case for real-time forecasting scenarios. We find that for heterogeneous systems, there is a critical proportion of the sequence that needs to have occurred before a forecast time converges on relatively low errors. As might be expected, the final portion of the sequence is the most important, while uncertainty on the start of the sequence is less important. Finally, we explore the simplest method for scaling the laboratory results to the volcano scenario.

P058 The importance of complete HLA-DQB1 sequences when typing beyond exon 2

Aim This study examined the variation observed when typing exons 2 + 3 of HLA-DQB1 using reverse sequence specific oligonucleotides (rSSO) as compared to typing exon 2 alone in volunteers from an unrelated hematopoietic stem cell donor program. New alleles and those with incomplete sequences were characterized with next generation sequencing (NGS) to update the IPD-IMGT/HLA database. Methods Samples were typed for HLA-DQB1 using One Lambda’s SSO LabType with additional phasing probes for exon 2 ( ∼ 50,000 donors) or for exons 2 + 3 ( ∼ 15,000). Full-length HLA-DQB1 sequences (40) were obtained using an Illumina platform and in-house protocol. Results Overall, 38 incomplete DQB1 alleles were identified and sequenced with NGS, including 6 that could only be detected by rSSO with exon 3 probes. The majority of these alleles appear only 1–2 times in the sample set and were not listed as common or well-documented in Mack et al. 2013. The addition of exon 3 in rSSO typing complicated analysis since many alleles lack sequence data for exon 3, and the software assumes no probe binding if there is no known sequence. An example is DQB1*06:08 ( ∼ 10), which binds to one of the exon 3 probes and therefore is not assigned (i.e., false positive). Two alleles showed discrepant results between rSSO and NGS due to novel sequences. The full-length sequences obtained for all alleles sequenced demonstrate high conservation of the regions outside of exon 2. Conclusions There are advantages and disadvantages from screening exons 2 + 3 of HLA-DQB1. It elucidates greater variation not identified from screening exon 2 alone but has a more complicated analysis due to incomplete DNA sequences. Updating the IPD-IMGT/HLA database is critical for improved accuracy. C. Masaberg: 7. Other (Identify); Company/Organization; Intellectual property typing workflow, One Lambda licensing. C.K. Hurley: 7. Other (Identify); Company/Organization; Intellectual property typing workflow, One Lambda licensing.

P056 Extending the sequences of 569 incomplete uncommon alleles

Aim The aim of this study was to complete full gene sequences for previously reported HLA class I sequences for the IPD-IMGT/HLA database. Methods We identified 569 class I alleles in ∼ 99,000 individuals typed for a U.S. donor registry that had incomplete sequences in the IPD-IMGTHLA database. The alleles had been typed by a combined Sanger SBT-SSOP workflow focused on exons 2 + 3. Single locus alleles were amplified with primers annealing in the 5’ and 3’ UTR and the sequences of exons and introns determined with an Illumina Miseq using an in-house protocol. Results Most (423, 74%) of the 569 alleles were found in a single cell. The majority of the class I full length sequences were identical to the most similar HLA allele (e.g., C*01:70 differed by only a single exon 2 nucleotide when compared to C*01:02:01:01). Two novel HLA-A alleles with exon 2/3 variation were not detected by SBT/SSO due to inability to phase key polymorphic nucleotides [A*03:150, *26:01:01G vs. A*03:01:01:01 + A*26:149 (new); A*02:01:55 + *33:03:01G vs. A*02:01:01:01 + *33:03:33 (new)]. Overall, new alleles were found in 18 (3.2%) samples; most in the targeted incomplete allele. Most (14, 78%) showed variation in intron and UTR regions. Some of the incomplete alleles (49/569) could not be characterized because the allele combination did not allow phasing of the sequences (e.g., C*07:01:01:01 + *07:27:01 had no polymorphic nucleotides within a span of 2298 bp (introns 2–7)). Conclusions Class I gene sequences outside exons 2 + 3 are conserved. Genotypes with novel alleles can be missed by typing assays that do not provide comprehensive phasing. Increasing the knowledge of full sequences for all alleles will improve the accuracy of HLA typing. Download : Download high-res image (153KB) Download : Download full-size image J.S. Ng: 4. Scientific/Medical Advisor; Company/Organization; Georgetown University. C.K. Hurley: 4. Scientific/Medical Advisor; Company/Organization; Georgetown University.

P100 Complete single mica gene sequencing-based typing using next generation sequecers

Aim The MICA gene located in the HLA gene cluster region close to HLA-B is highly polymorphic. It is associated with solid organ transplant rejection and bone marrow transplant GVHD. To test a novel Next Generation Sequencing (NGS) based MICA high resolution typing method, we used both Sanger Based Typing (SBT) and NGS in a parallel double blind study. Methods Genomic DNA samples from 54 healthy Han people in southern China were genotyped by both SBT and NGS methods. Well established MICA SBT was performed using an amplicon covering the MICA gene from exon 2 to exon 5 (2.2kb) and MICA-Seq specific software. NGS was performed with a PCR product that includes the entire length of the MICA gene from mid 5’UTR to the end of the 3’UTR (12.6 Kb). Library preparation was performed with the standard library preparation method and reagents from Omixon’s V2 Holotype HLA kits and sequenced on an Illumina MiSeq using paired-end 2x250 bp V2 chemistry. MICA typing was assigned using Omixon Twin software and GenDx’s NGSEngine. Results 2.04 million reads with an average quality score ⩾Q30 were generated. 93.3% of reads produced were high quality and used for MICA consensus assembly with an average coverage depth of 300 across the exonic regions. 26 MICA genotypes consisting of 17 unique alleles among 54 samples were identified, and were 100% concordant between NGS and SBT. MICA NGS was able to resolve all ambiguities obtained by MICA SBT. Alleles initially typed as ambiguous MICA*008:01/04 by SBT were determined to be MICA*008:01:01, *008:01:02 and *008:04. MICA*008:04 was the most frequent at 19.4% (21/108 alleles) by NGS. In addition, 4 samples typed ambiguously as MICA*002:01/MICA*008 or MICA*023/MICA*035, and 3 samples typed as MICA*002:01/MICA*010 or MICA*022/MICA*025 by SBT were resolved by NGS. Furthermore a new *008:01 allele was found with 5 differences in intron 1 and 1 difference in intron 5. This new allele was represented three times in the population of 108 allele calls. Additionally we were able the complete the sequencing of exon 1 for *009:01 and *033 and exon 6 for *007:01 and *033 alleles. Conclusions A NGS based MICA typing method has been established and is capable of resolving ambiguities observed with SBT, identifies new alleles and allows the completion of IMGT reported incomplete allele sequences.

Hydrogeomorphologic architecture of epikarst reservoirs in the Middle-Lower Ordovician, Tazhong Uplift, Tarim Basin, China

Abstract Paleokarst vugs and fissures in the Middle-Lower Ordovician from the Tazhong Uplift have been a productive unit in the Tarim Basin for more than two decades. A new approach was applied to delineate the characteristics of these reservoirs by integration of 3D seismic data with thin sections, cores, and imaging logs, as well as related geochemical analysis. Reconstructed hydrogeomorphologic architecture was defined to illustrate the origin of the paleokarst reservoirs in this study. Fissures and fissure-vugs of epikarst reservoirs are the predominant pore type in the Central Uplift in the Tazhong area, which pervasively distributed as planes and steps in shallow depth of 0–30 m below the regional unconformity (T74). The favorable position for reservoir development was intimately related to fissures and faults in NE and NWW directions. Surface topography of the Middle-Lower Ordovician was flat initially, with karren as the most widespread landform category. Hence, surface water tended to be sheet flow and concentrated in places where karrens and cracks developed well, and thus the infiltration strength and exhumation capacity of surface water suffered from extensive constrains due to limited hydraulic gradient, which resulted in immature drainage system and incomplete karst sequence. Therefore, the hydrogeomorphologic architecture in the Middle-Lower Ordovician was likely lack of surface drainages, and a fissure-seepage karst reservoir development model was established to interpret the influence of hydrogeomorpholoic architecture on paleokarst reservoirs distribution. This study confirms that paleokarst fissure-vug system developed in karst initiation period can still be potential petroleum-bearing target in deeply buried subsurface.

Evidence that Lokern virus (family Peribunyaviridae) is a reassortant that acquired its small and large genome segments from Main Drain virus and its medium genome segment from an undiscovered virus

BackgroundLokern virus (LOKV) is a poorly characterized arthropod-borne virus belonging to the genus Orthobunyavirus (family Peribunyaviridae). All viruses in this genus have tripartite, single-stranded, negative-sense RNA genomes, and the three RNA segments are designated as small, (S), medium (M) and large (L). A 559 nt. region of the M RNA segment of LOKV has been sequenced and there are no sequence data available for its S or L RNA segments. The purpose of this study was to sequence the genome of LOKV.MethodsThe genome of LOKV was fully sequenced by unbiased high-throughput sequencing, 5′ and 3′ rapid amplification of cDNA ends, reverse transcription-polymerase chain reaction and Sanger sequencing.ResultsThe S and L RNA segments of LOKV consist of 952 and 6864 nt. respectively and both have 99.0% nucleotide identity with the corresponding regions of Main Drain virus (MDV). In contrast, the 4450-nt. M RNA segment has only 59.0% nucleotide identity with the corresponding region of MDV and no more than 72.7% nucleotide identity with all other M RNA segment sequences in the Genbank database. Phylogenetic data support these findings.ConclusionsThis study provides evidence that LOKV is a natural reassortant that acquired its S and L RNA segments from MDV and its M RNA segment from an undiscovered, and possibly extinct, virus. The availability of complete genome sequence data facilitates the accurate detection, identification and diagnosis of viruses and viral infections, and this is especially true for viruses with segmented genomes because it can be difficult or even impossible to differentiate between reassortants and their precursors when incomplete sequence data are available.

A novel LC\u2013MS method using collagen marker peptides for species identification of glue applicable to samples with multiple animal origins

Animal glues derived from collagen-rich tissue are widely used as adhesives and binders in artworks. Identification of the animal source of glue is important not only to understand the artistic technique and historical background, but also to conduct appropriate treatment for restoration and conservation of artworks. Recently, mass spectrometric approaches have been used for species identification of glue. However, it appears that the existing methods were not applied to samples containing multiple animal sources, and the range of target species has been limited because of incomplete sequence information of collagen in public databases. In the present study, we established a novel method for discrimination of glues from eight animals applicable to samples with multiple animal origins. Trypsin-digested glue samples were analyzed by LC–MS in multiple reaction monitoring mode, and the animal source was determined based on the detection patterns of 12 type I collagen-derived marker peptides. Using the database-independent method, we successfully identified the animal source of commercial products and found the declared species for some glues to be incorrect. In addition, some products were identified to contain two different animal origins. Relative abundance of the animal origins in several impure glues was estimated using the marker peptides, which helped to speculate the reason for the detection of multiple species. We analyzed a painting (The Harvest by Camille Pissarro, 1882) and clarified that glues used in the ground and size layers of the canvas were derived from cattle (~ 65%) and sheep (~ 35%).

Genome-Wide Identification and Expression Analyses of the Fibrillin Family Genes Suggest Their Involvement in Photoprotection in Cucumber

Fibrillin (FBN) is a plastid lipid-associated protein found in photosynthetic organisms from cyanobacteria to plants. In this study, 10 CsaFBN genes were identified in genomic DNA sequences of cucumber (Chinese long and Gy14) through database searches using the conserved domain of FBN and the 14 FBN genes of Arabidopsis. Phylogenetic analysis of CsaFBN protein sequences showed that there was no counterpart of Arabidopsis and rice FBN5 in the cucumber genome. FBN5 is essential for growth in Arabidopsis and rice; its absence in cucumber may be because of incomplete genome sequences or that another FBN carries out its functions. Among the 10 CsaFBN genes, CsaFBN1 and CsaFBN9 were the most divergent in terms of nucleotide sequences. Most of the CsaFBN genes were expressed in the leaf, stem and fruit. CsaFBN4 showed the highest mRNA expression levels in various tissues, followed by CsaFBN6, CsaFBN1 and CsaFBN9. High-light stress combined with low temperature decreased photosynthetic efficiency and highly induced transcript levels of CsaFBN1, CsaFBN6 and CsaFBN11, which decreased after 24 h treatment. Transcript levels of the other seven genes were changed only slightly. This result suggests that CsaFBN1, CsaFBN6 and CsaFBN11 may be involved in photoprotection under high-light conditions at low temperature.

Deducing the presence of proteins and proteoforms in quantitative proteomics

The human genome harbors just 20,000 genes suggesting that the variety of possible protein products per gene plays a significant role in generating functional diversity. In bottom-up proteomics peptides are mapped back to proteins and proteoforms to describe a proteome; however, accurate quantitation of proteoforms is challenging due to incomplete protein sequence coverage and mapping ambiguities. Here, we demonstrate that a new software tool called ProteinClusterQuant (PCQ) can be used to deduce the presence of proteoforms that would have otherwise been missed, as exemplified in a proteomic comparison of two fly species, Drosophilamelanogaster and D. virilis. PCQ was used to identify reduced levels of serine/threonine protein kinases PKN1 and PKN4 in CFBE41o− cells compared to HBE41o− cells and to elucidate that shorter proteoforms of full-length caspase-4 and ephrin B receptor are differentially expressed. Thus, PCQ extends current analyses in quantitative proteomics and facilitates finding differentially regulated proteins and proteoforms.

MOLECULAR ANALYSIS OF PBMSP-1 GENE IN ERYTHROCYTE OF MICE INFECTED WITH Plasmodium berghei

This study aimed to analyze MSP-1 gene in mice erythrocyte infected with Plasmodium berghei using polymerase chain reaction (PCR). The result showed the existence of 462 bp DNA band which was assumed to encode MSP-1 protein with molecular weight of 19 kDa that can only be found in erythrocyte infected with Plasmodium berghei. BLASTn analysis showed that PbMSP-1 obtained in this study have 100% similar identity with mRNA of PbMSP-1 partial sequence (462 bp), 93% similarity with PbMSP-1 complete sequence (5750 bp and 5376 bp), and 87% similarity with PbMSP-1 incomplete sequence (333 bp).

A bidimensional finite mixture model for longitudinal data subject to dropout.

In longitudinal studies, subjects may be lost to follow up and, thus, present incomplete response sequences. When the mechanism underlying the dropout is nonignorable, we need to account for dependence between the longitudinal and the dropout process. We propose to model such a dependence through discrete latent effects, which are outcome-specific and account for heterogeneity in the univariate profiles. Dependence between profiles is introduced by using a probability matrix to describe the corresponding joint distribution. In this way, we separately model dependence within each outcome and dependence between outcomes. The major feature of this proposal, when compared with standard finite mixture models, is that it allows the nonignorable dropout model to properly nest its ignorable counterpart. We also discuss the use of an index of (local) sensitivity to nonignorability to investigate the effects that assumptions about the dropout process may have on model parameter estimates. The proposal is illustrated via the analysis of data from a longitudinal study on the dynamics of cognitive functioning in the elderly.

Characterization of 25 full-length S-RNase alleles, including flanking regions, from a pool of resequenced apple cultivars.

Data obtained from Illumina resequencing of 63 apple cultivars were used to obtain full-length S-RNase sequences using a strategy based on both alignment and de novo assembly of reads. The reproductive biology of apple is regulated by the S-RNase-based gametophytic self-incompatibility system, that is genetically controlled by the single, multi-genic and multi-allelic S locus. Resequencing of apple cultivars provided a huge amount of genetic data, that can be aligned to the reference genome in order to characterize variation to a genome-wide level. However, this approach is not immediately adaptable to the S-locus, due to some peculiar features such as the high degree of polymorphism, lack of colinearity between haplotypes and extensive presence of repetitive elements. In this study we describe a dedicated procedure aimed at characterizing S-RNase alleles from resequenced cultivars. The S-genotype of 63 apple accessions is reported; the full length coding sequence was determined for the 25S-RNase alleles present in the 63 resequenced cultivars; these included 10 previously incomplete sequences (S 5 , S 6a , S 6b , S 8 , S 11 , S 23 , S 39 , S 46 , S 50 and S 58 ). Moreover, sequence divergence clearly suggests that alleles S 6a and S 6b , proposed to be neutral variants of the same alleles, should be instead considered different specificities. The promoter sequences have also been analyzed, highlighting regions of homology conserved among all the alleles.

Submarine hydrothermal processes, mirroring the geotectonic evolution of the NE Hungarian Jurassic Szarvaskő Unit

The Jurassic pillow basalt of the NE Hungarian Szarvaskő Unit is part of an incomplete ophiolitic sequence, formed in a back-arc- or marginal basin of Neotethyan origin. Different, often superimposing hydrothermal processes were studied aiming to characterise them and to discover their relationship with the geotectonic evolution of the region. Closely packed pillow, pillow-fragmented hyaloclastite breccia and transition to peperitic facies of a submarine lava flow were observed. The rocks underwent primary and cooling-related local submarine hydrothermal processes immediately after eruption at ridge setting. Physico-chemical data of this process and volcanic facies analyses revealed distal formation in the submarine lava flow. A superimposing, more extensive fluid circulation system resulted in intense alteration of basalt and in the formation of mostly sulphide-filled cavities. This lower temperature, but larger-scale process was similar to VMS systems and was related to ridge setting. As a peculiarity of the Szarvaskő Unit, locally basalt may be completely altered to a grossular-bearing mineral assemblage formed by rodingitisation s.l. This unique process observed in basalt happened in ridge setting/during spreading, in the absence of known large ultramafic blocks. Epigenetic veins formed also during Alpine regional metamorphism, related to subduction/obduction. The observed hydrothermal minerals represent different steps of the geotectonic evolution of the Szarvaskő Unit, from the ridge setting and spreading till the subduction/obduction. Hence, studying the superimposing alteration mineral assemblages can be a useful tool for reconstructing the tectonic history of an ophiolitic complex. Though the found mineral parageneses are often similar, careful study can help in distinguishing the processes and characterising their P, T, and X conditions.

UAV monitoring of 3-year Foredune Partial Recovery from a Severe Winter: Truc Vert Beach, SW France

Guillot, B., Castelle, B., Marieu, V., Bujan, S., and Rosebery, D., 2018. UAV Monitoring of 3-year foredune partial recovery from a severe winter: Truc Vert beach, SW France. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 276–280. Coconut Creek (Florida), ISSN 0749-0208.The recent development of ultra-light civil UAVs and photogrammetric techniques provides new and efficient means to remotely sense the coastal topography at high spatial and temporal resolutions along spatially extensive areas. Truc Vert, SW France, is a high-energy meso-macrotidal beach backed by a preserved high and wide coastal dune system. This coastal dune system, which had been relatively stable over the last 70 years, was severely eroded during the winter of 2013/2014 with 800-m long and up to 8-m high cuspate erosion scarps. Since then, the foredune has been slowly recovering. This 3-year period was characterized, at the early stage, by the destabilisation of the scarped dune by trough blowouts, scarp slumping and filling and seasonal beach berm dynamics. The onset of foredune recovery occurred subsequently, and was characterized by the development of a dune ramp. This ramp provided efficient conduit for beach-dune delivery/exchange of sediment by the end of the study despite the high-energy winter of 2015/2016 drove localized dune erosion. The coastal dune did not fully recover with an approximately 60% average recovery within 3 years, an overall accretion due primarily to incipient foredune formation and foredune growth in height. The timing and magnitude of the incomplete recovery sequence from the UAV surveys provide an outstanding measure of coastal dune resilience to severe storms in this region of the world.