Paula Ramiro-Martínez

@paularamiro.bsky.social

Predoctoral researcher at evodynamics lab in Madrid. Bacterial and plasmid evolution 🫧🧬💻

🚨 New preprint from the lab! 🚨 We show that multireplicon plasmids are true AMR "jack-of-all-trades": Widespread, highly mobile, broad host-range, and packed with resistance genes. Far from random, they form co-evolving associations driven & 𝘮𝘢𝘪𝘯𝘵𝘢𝘪𝘯𝘦𝘥 by IS elements. See Nacho's thread below!👇👇

Multireplicon plasmids emerge under predictable rules and drive the spread of antimicrobial resistance across bacterial hosts

Plasmids are DNA molecules that replicate independently of the bacterial chromosome and are typically associated with the spread of antimicrobial resistance (AMR) and virulence determinants, among other relevant traits. Fusion events between plasmids generate larger, complex backbones that carry two or more replication systems, known as multireplicon plasmids. Despite decades of study, we are still far from understanding how multireplicon plasmids arise, persist, and shape the evolution of AMR. Here, we analyzed 24,000 non-redundant plasmids across bacterial genera and found that more than 30% of them encoded multiple replicons. Compared to single-replicon plasmids, multireplicon plasmids were larger, were enriched in genes encoding antimicrobial, metal, and biocide resistance as well as virulence factors, and showed higher mobility and a broader host range. We also found that multireplicon assembly is not random. Some replicon pairs repeatedly merge into stable multireplicon plasmids, while other pairs rarely fuse even when they commonly coexist intracellularly. We also show that replicon pairs tend to be localized either in close proximity to one another or on opposite poles of the plasmid. We further highlight that multireplicon plasmids can be broadly classified into two groups: long-term coevolving replicon pairs and transient associations that lack a shared evolutionary history. Finally, we reveal the molecular mechanisms underlying multireplicon formation and highlight the role of insertion sequences in their formation and maintenance. Together, our work sheds light on the abundance, gene content, evolutionary patterns, and formation dynamics of multireplicon plasmids and pinpoints their relevance to bacterial evolution and human health. ### Competing Interest Statement The authors have declared no competing interest. Instituto de Salud Carlos III, https://ror.org/00ca2c886, PI23/01945, PFIS - FI22/00265, Miguel Servet - CP22/00164 European Research Council, https://ror.org/0472cxd90, HorizonGT, 101077809 Fundación Ramón Areces, "Ayudas Fundación Ramón Areces para la realización de Tesis Doctorales en Ciencias de la Vida y de la Materia 2025" Coordenação de Aperfeicoamento de Pessoal de Nível Superior, https://ror.org/00x0ma614, 88881.128025/2025-01

biorxiv.org

Ignacio (Nacho) de Quinto@nachodequinto.bsky.social · 3mo ago

What if multireplicon plasmids are not an oddity, but an evolutionary strategy? We found that they are common, more mobile, broader-host-range, and enriched in AMR. Even more interesting: their assembly doesn’t look random. 👀 Paper preprint: www.biorxiv.org/content/10.6... Thread below!🧵👇

What happens when Klebsiella's capsule locus is swapped? Unexpectedly little in terms of cell growth. Yet, it does change the bacterium's environment and interactions with it: evolution by seamless plug-and-play capsule swap. Led by @julielebris.bsky.social @olayarendueles.bsky.social

Olaya Rendueles@olayarendueles.bsky.social · 4mo ago

So happy to see this finally published in @plosbiology.org! This is the first chapter of @julielebris.bsky.social PhD thesis demonstrating how capsules are exchanged by plug-and-play dynamics w/ @epcrocha.bsky.social #microsky @klebclub.bsky.social Link below- Check out her 🧵 for more details!

We are pleased to share our last article rdcu.be/fabhM. It offers the most comprehensive analysis so far of Ab+non-Ab resistance genes in human gut microbiome, using an Indigenous population (low industrialization, chronic Hg exposure from gold mining) 6/6👇

The antimicrobial gut resistome of the Wayampi reveals a shared background of antibiotic and metal resistance genes with industrialized populations, underscoring the “robust-yet-fragile” architecture ...

rdcu.be

Excited to share our latest work! 📝 We measured the fitness effect of 136 AMR genes and found that many are neutral or even beneficial without selection. 🤯🧬 Oxygen availability can flip their fitness and our stochastic model indicates that oxygen fluctuations help maintain them. Learn more 👇🏼

bioRxiv Microbiology@biorxiv-microbiol.bsky.social · 5mo ago

Fitness effects of antimicrobial resistance genes in changing environments https://www.biorxiv.org/content/10.64898/2026.03.06.710025v1

➡️ preprint from the lab! Bacteria have loads of antiviral defences in their mobile genetic elements (MGEs). So when MGEs move between bacteria, the defences move with them, generating a fast turnover of defences in bacteria. But what about the antiviral defence turnover in the MGEs themselves? 🤔 🧵👇

biorxiv.org

And what a beautiful @pnas.org cover @paularamiro.bsky.social and @jerorb.bsky.social !!!!!! You should be very proud!

Jerónimo Rodríguez-Beltrán@jerorb.bsky.social · 6mo ago

New paper out in @pnas.org, and it made the cover! 👁️ We represent plasmids as circles and mutations as dots, resembling an eye, because in this paper we literally 𝑤𝑎𝑡𝑐ℎ plasmids evolve. ‼️Check Paula’s 🧵 and the paper👇 𝗣𝗹𝗮𝘀𝗺𝗶𝗱 𝗺𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝗿𝗮𝘁𝗲𝘀 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝗰𝗼𝗽𝘆 𝗻𝘂𝗺𝗯𝗲𝗿 www.pnas.org/doi/10.1073/...

New paper out in @pnas.org, and it made the cover! 👁️ We represent plasmids as circles and mutations as dots, resembling an eye, because in this paper we literally 𝑤𝑎𝑡𝑐ℎ plasmids evolve. ‼️Check Paula’s 🧵 and the paper👇 𝗣𝗹𝗮𝘀𝗺𝗶𝗱 𝗺𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝗿𝗮𝘁𝗲𝘀 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝗰𝗼𝗽𝘆 𝗻𝘂𝗺𝗯𝗲𝗿 www.pnas.org/doi/10.1073/...

Cover of PNAS in which we show plasmids as colourful concentric circles, with dots scattered. The image kind of resembles an eye, although it’s visibly a plot.
Paula Ramiro-Martínez@paularamiro.bsky.social · 6mo ago

New paper out in PNAS!!! 🎉 Do more plasmid copies mean faster evolution? 🧵 Dive into the story www.pnas.org/doi/10.1073/...

Here, we find that many Genomic islands have origins of transfer (oriT) mobilisable by conjugation, incl. known Pathogenicity & defense islands. iOriT use only an oriT for transfer by hitching on conjugative elements: they make abundant, diverse, ancient families of mobile genetic elements. See🧵

Manuel Ares-Arroyo@aresarroyom.bsky.social · 7mo ago

Bacteria chromosomes contain Genomic Islands that provide virulence, antibiotic resistance, MGE-defence,... They transfer between cells, but the mechanism of most remains elusive. Here we explore the conjugative capacity of these mysterious Genomic Islands. www.biorxiv.org/content/10.6...

A pleasure and an honour to have received this prestigious grant with my admired colleagues and friends @sanmillan.bsky.social and @asanchezlab.bsky.social . More about AMR under plasmid lens!. My sincere gratitude to @caixaresearch.bsky.social @microryc.bsky.social @esgem-sg.bsky.social

caixaresearch.bsky.social

caixaresearch.bsky.social

@caixaresearch.bsky.social · 9mo ago

Congratulations to you and your teams, @sanmillan.bsky.social, @asanchezlab.bsky.social and @tmcoque.bsky.social! We are thrilled to support your work and look forward to the impact your project will have. 👏💫

A plasmid golden ratio? 🧬 Plasmid copy number ≈ 2.5% of chromosome size—consistent across bacterial species! pmc.ncbi.nlm.nih.gov/articles/PMC... @jerorb.bsky.social 🧪 #microbesky

a Scatter plots showing the correlation between plasmid size (x-axis) and PCN (y-axis) for the analysed genera. Each point represents the median PCN and plasmid size for each PTU, and error bars indicate the standard deviation from the median. Grey lines represent ordinary least squares regression, with the surrounding shaded area indicating 95% confidence intervals. The scaling factor or slope, k, is indicated on each panel. b Distribution of total DNA load per plasmid (x-axis) relative to chromosome size per genus (y-axis). The DNA load of each plasmid is calculated by multiplying the plasmid size by the copy number and then expressed as a proportion relative to the chromosome size. The point inside the box marks the median. The upper and lower hinges correspond to the 25th and 75th percentiles, and whiskers extend to 1.5 times the interquartile range. Only Escherichia and Salmonella significantly differ from All; Kruskal–Wallis test followed by Dunn’s test for pairwise multiple comparisons p < 10−4; effect size = 0.006. c Relative plasmid DNA load observed (%) (x-axis) and expected (y-axis) per cell. The y-axis indicates the expected plasmid DNA load (%) inside a cell when it contains one plasmid (1n), two plasmids (2n), and so on. This expected data has been calculated by generating a sequence from 1 to 9 multiplied by the median of the DNA load per plasmid (2.49%). Each green point represents a single genome, and the black points are the median for each category. Shading indicates interquartile ranges. Pearson’s p value and coefficient are shown for the correlation between expected and observed plasmid DNA.
Jerónimo Rodríguez-Beltrán@jerorb.bsky.social · last yr.

🚨🚨New paper out in @natcomms.nature.com!! Come for the first large-scale analysis of plasmid copy number across species, stay for one of the most intriguing results of my lab: universal scaling laws in plasmid biology! 📈🧬 👉 www.nature.com/articles/s41...