BUSCADOR RECOLECTA

Through a comparison of the physiography and Quaternary deposits and features of three tectonically deformed Iberian continental margins by the NW‒SE convergent Eurasia-Iberian-Africa plates, we attempt to address the influence of the interplay of tectonics and sedimentation on their geomorphology. The areas include the currently active southern Iberian Alboran and Gulf of Vera margins in the SW Mediterranean and the inactive northern Iberian Cantabrian margin in the Atlantic. The margin study comprises two major physiographic compartments, the continental shelf and the distal margin, where the latter also includes the adjacent bathyal water depths. Similarities and differences are highlighted in the tectonic influences and their signatures in the sedimentary geomorphology during the Quaternary. On the continental shelf, the active or inactive onshore uplift appears to have conditioned the seafloor gradients and the preservation of the Quaternary deposits, which subsequently influenced their width. In the distal continental margin, offshore regional structural features (whether active or inactive) govern the complex and oversteepened topography, overall geometry of the sea basin, along-margin intraslope basins and regional tectonic tilting, influencing all the downslope and alongslope sedimentary processes. Thus, Quaternary tectonic processes and/or inherited morphotectonic parameters have influenced the geomorphology of shelf regressive deposits, canyons, gullies, fans, mass movement deposits, and contourites. Two types of tectonic margins based on sedimentary geomorphology are characterised: dismantled (Gulf of Vera and Cantabrian margins) and constructional (Iberian Alboran margin). This study has relevance far beyond the Iberian regional scale because it provides insights into the tectonic signatures of sedimentary geomorphology. The categorised margin types may serve as analogues for contemporary marine sedimentary basins where tectonics plays a prominent role in sediment transport, deposition, erosion, and remobilisation via their influence on both active and inactive topography, Ministerio de Economía y Competitividad (España) CTM2015-65461-C2-1-R. With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Perfiles de sísmica multicanal, Peer reviewed

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Supplementary Table 1. Representation of the different teeth surfaces in each study group., Peer reviewed

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Table of contents: Experimental procedures Page 2 Supplementary Figures Pages 3-12, Peer reviewed

- a technological support agreement with Grupo Tragsa (Contract 591186MC) - a research project sponsored by the Spanish Government (“PLASTICPINE” grant, PID2022-140521OB-C31). - a research project sponsored by the Regional Government (“RESDRON” grant, Feader2018/066B, Xunta de Galicia/FEADER) - a research project sponsored by the Spanish Government ("GENMAC” grant, 2018ES06RDEI12479V1, MAPA/AEI-Agri/FEADER, UE), Peer reviewed

[Description of methods used for collection/generation of data] Worldwide surveys using the GISAID EpiCov database were conducted on 2022-01-16 and 2022-06-15, resulting in the collection of two SARS-CoV-2 genome datasets. Then, transcluster v2.0.0 was run on these datasets. For each dataset, input files containing lists of sample identifiers are contained in the "input" folder. The "output" folder contains the pipeline output files, consisting on a separate folder for each of the input lists, as well as a "summary" folder. Each "config/config.yaml" file describes the pipeline configuration of each run. Further pipeline documentation is available at https://github.com/PathoGenOmics-Lab/transcluster. [Methods for processing the data] Raw genome data from GISAID was processed using transcluster v2.0.0 (https://github.com/PathoGenOmics-Lab/transcluster). The input lists contain the sample identifiers that were selected after filtering by haplotype and sequence quality., Processed data, code, configuration files and results of the transmission analysis of two datasets of SARS-CoV-2 genomes. The first dataset contains samples bearing combinations of Alpha and Delta-defining NTD mutations. The second dataset contains samples assigned to the Alpha variant and the BA.1 Omicron lineage with NTD deletion repairs. The GISAID EPI_SETs are available at https://dx.doi.org/10.55876/gis8.230802fh and https://dx.doi.org/10.55876/gis8.230801ex, respectively. The sequence records from each list of target samples were extracted from a FASTA file containing an aligned sequence dataset, and placed on a reference phylogeny. Then, transmission clusters were detected using a breadth-first search approach. Additionally, a fitness metric was estimated for each cluster. Finally, a series of figures (including sample timelines, comparisons of estimated fitness and missing data) were generated. The pipeline used for this analysis, transcluster v2.0.0, is a Snakemake workflow released as free software under the GNU GPLv3 license. Its source code is included here, and is also available in GitHub (https://github.com/PathoGenOmics-Lab/transcluster)., PTI+Salud Global – European Commission – NextGenerationEU/ PRTR (Regulation EU 2020/2094), Generalitat Valenciana and the European Social Fund “ESF Investing in your future” (CIACIF/2022/333), MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR (CNS2022-135116 and CNS2022-135100)., Peer reviewed

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