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Bermudez, J.

Publications and source records attributed to Bermudez, J..

6 recordsLinked to original sources

Collecting-Gathering Biophysics of the Blackworm L. variegatus

Many organisms exhibit collecting and gathering behaviors as a foraging and survival method. Certain benthic macroinvertebrates are classified as collector-gatherers due to their collection of particulate matter as a food source, such as the aquatic oligochaete Lumbriculus variegatus (California blackworms). Blackworms demonstrate the ability to ingest organic and inorganic materials, including microplastics, but previous work has only qualitatively described their possible collecting behaviors for such materials. The mechanism through which blackworms consolidate discrete particles into a larger clumps remains unexplored quantitatively. By analyzing a group of blackworms in a large arena with an aqueous algae solution, we discover that their relative collecting efficiency is proportional to population size. Examining individual blackworms under a microscope reveals that both algae and microplastics physically adhere to the worms body due to external mucus secretions, which cause the materials to clump around the worm. We observe that this clumping reduces the worms exploration of its environment, potentially due to thigmotaxis. To validate the observed biophysical mechanisms, we create an active polymer model of a worm moving in a field of particulate debris with a short-range attractive force on its body to simulate its adhesive nature. We find that the attractive force increases gathering efficiency. This study offers insights into the mechanisms of collecting-gathering behavior, informing the design of robotic systems, as well as advancing our understanding the ecological impacts of microplastics on benthic invertebrates.

ecology↗

A Comparison of Performance for Different SARS-Cov-2 Sequencing Protocols

SARS-Cov-2 genome sequencing has been identified as a fundamental tool for fighting the COVID-19 pandemic. It is used, for example, for identifying new variants of the virus and for elaborating phylogenetic trees that help to trace the spread of the virus. In the present study we provide a comprehensive comparison between the quality of the assemblies obtained from different sequencing protocols. We demonstrate how some protocols actively promoted by different high-level administrations are inefficient and how less-used alternative protocols show a significant increased performance. This increase of performance could lead to cheaper sequencing protocols and therefore to a more convenient escalation of the sequencing efforts around the world.

genetics↗

s-aligner: a greedy algorithm for non-greedy de novo genome assembly

Genome assembly is a fundamental tool for biological research. Particularly, in microbiology, where budgets per sample are often scarce, it can make the difference between an inconclusive result and a fully valid conclusion. Identifying new strains or estimating the relative abundance of quasi-species in a sample are some example tasks that cant be properly accomplished without previously generating assemblies with little structure ambiguity and covering most of the genome. In this work, we present a new genome assembly tool based on a greedy strategy. We compare the results obtained applying this tool to the results obtained with previously existing software. We find that, when applied to viral studies, comparatively, the software we developed often gets far larger contigs and higher genome fraction coverage than previous software. We also find a significant advantage when applied to exceptionally large virus genomes.

bioinformatics↗

Method for inferring migration routes from phylogenetic trees

Inferring migration routes from a phylogenetic tree is something that has been done since we have phylogenetic trees. The usual method is just human inference, also known as intuition. Here I present a method for automating this task. Applied to phylogenetic trees with thousands of branches it makes possible to see for the first time inferred routes that were previously too complex to estimate.

bioinformatics↗

Inferring phylogenetic trees from mutational distance of transposable elements.

There are many methods for establishing a phylogeny available to researchers. Some of these are based on the mutational distance between ortholog sequences of DNA, and, from these, some are based on the analysis (presence/absence) of transposable elements in specific loci of ortholog sequences. We present a new approach: a method for inferring a phylogeny based on the mutational distance of transposable elements distributed along any segment of DNA. Our method doesnt require previously having ortholog segments of DNA from every organism. The method can be fully automated, not requiring any previous or posterior data analysis nor data preparation.

evolutionary biology↗

SLAST: Simple Local Alignment Search Tool

We present a local alignment search tool not based on the usual strategy of seed and grow often employed for these tools. Instead, we just find regions in the database sequences having a high density of seed matches and then we perform a Smith-Waterman local alignment of the query sequence into these regions. This approach has some advantages for some use cases.

bioinformatics↗