Biology subjects

Rubin, B. E.

Publications and source records attributed to Rubin, B. E..

14 recordsLinked to original sources

bioRxiv2026

Half-match recombination drives bridge RNA-guided excision and off-target insertion

IS110-family bridge recombinases are a recently identified class of compact, RNA-guided editors in which a bridge RNA (bRNA) directs the recombination of a donor DNA into a target site. In the current model, the bRNA engages fully complementary donor and target sequences within a single synaptic complex to drive double-stranded recombination, implying that the transposon is cut from its donor site rather than copied, yet neither the strandedness of the excised intermediate nor the requirement for full complementarity has been tested directly. Here we reconstituted IS621 recombination in a cell-free transcription-translation system, building representative arrangements of the excision and insertion reactions and characterizing the outcomes. We find that IS621 predominantly excises a single strand, releasing a single-stranded circle and leaving the donor site intact, consistent with copy-and-paste transposition. By introducing mismatches into the bRNA target sequences, we further find that excision proceeds independently of target-site complementarity, relying strictly on donor-arm recognition; we term this "half-match" recombination, because a substrate matching only half of the bRNA is sufficient. We also find half-match activity during insertion, both in vitro and in a published genome-editing experiment, where it accounts for approximately half of non-target insertion reads. Half-match recombination provides both a mechanistic explanation for off-target insertion and a framework for the rational design of high-fidelity bridge recombinases.

molecular biology↗

bioRxiv2026

Canonically minimal RNA-guided insertion sequences expand into large elements that disseminate antimicrobial resistance

IS110 has emerged as a powerful genome-editing tool because it is the smallest RNA-guided system capable of diverse programmable insertions. Naturally existing elements are conventionally modeled as compact[~] 1.5-kb systems comprising a single transposase and a bridge RNA (bRNA). Using high-throughput junction mapping together with large-scale comparative genomics, we redefined the in vivo structural boundaries, growth, and mobilization of IS110 elements. We uncovered a previously unrecognized size continuum extending to[~] 100 kb, driven by progressive local expansion, with expanded loci being widespread across bacterial genomes. Experiments confirmed the activity of natural IS110s both well below and above the size range of previously characterized elements. These large systems preferentially accumulate adaptive cargo, including antimicrobial resistance determinants and heavy-metal detoxification systems, and are strongly enriched for plasmid-derived DNA. Boundary configurations at expanded loci and the range of partial excision intermediates they produce both indicate flexible sequence recognition by IS110, most commonly through half-matches between the bRNA and complementary DNA sequence. This sequence tolerance allows loci to expand with diverse cargo. Together, these findings redefine IS110 from a compact insertion sequence into a dynamic platform that disseminates adaptive cargo.

microbiology↗

bioRxiv2026

Plasmids weaponize conjugation to eliminate non-permissive recipients

Horizontal gene transfer via conjugative plasmids is a major driver of bacterial evolution. While antibiotic exposure selects for the resistance genes carried by some plasmids, much uncertainty remains in how plasmids persist and spread in microbial communities in the absence of such external selection. Here we show that conjugative plasmids drive their own spread, in part, by using their transfer machinery to enforce a join-or-die ultimatum that selectively eliminates non-permissive recipients through the process of lethal zygosis - the T4SS-mediated elimination of recipients that fail to establish the plasmid. We found that this contact-dependent killing effectively clears a competitive niche for plasmid donors by turning bacterial immune systems into a fatal liability. Specifically, cells resisting plasmid establishment via CRISPR-Cas or Restriction-Modification systems are selectively killed because they fail to acquire the protective exclusion genes encoded on the plasmid, leading to lethal unregulated transfer. We leveraged this insight to resolve an obstacle in bacterial editing by developing "shielded" transposon vectors that co-deliver exclusion genes, increasing the efficiency of gene editing by orders of magnitude. Our results reveal the role of "coercive assimilation" in horizontal gene transfer, exposing a trade-off where the advantage of bacterial immunity to foreign DNA is counterbalanced by lethal zygosis.

microbiology↗

bioRxiv2025

Generating functional plasmid origins with OriGen

While generative artificial intelligence (AI) has shown promise for biological design, no computational system has yet created and validated sequences capable of autonomous replication. Focusing on plasmids, one of the smallest types of replicating elements, we develop OriGen, a sequence model that generates new plasmid origins of replication while maintaining key elements essential for their replication. We experimentally validate OriGens ability to create functional origins that diverge from existing wild types, demonstrating the models capacity to capture the complex and often cryptic mechanisms of biological replication.

synthetic biology↗

bioRxiv2024

Identification of Proteins Influencing CRISPR-Associated Transposases for Enhanced Genome Editing

CRISPR-Associated Transposases (CASTs) hold tremendous potential for microbial genome editing due to their ability to integrate large DNA cargos in a programmable and site-specific manner. However, the widespread application of CASTs has been hindered by their low efficiency in diverse, non-model bacteria. In an effort to address this shortcoming, we conducted the first genome-wide screen for host factors impacting Vibrio cholerae CAST (VchCAST) activity and used the findings to increase VchCAST editing efficiency. A genome-wide loss-of-function mutant library in E. coli was screened to identify 15 genes that impact type VchCAST transposition. Of these, seven factors were validated to improve VchCAST activity and two were found to be inhibitory. Informed by homologous recombination involved effectors, RecD and RecA, we tested the {lambda}-Red recombineering system in our VchCAST editing vectors, which increased its insertion meditated-editing efficiency by 25.7-fold in E. coli while maintaining high target specificity and similar insertion arrangements. Furthermore, {lambda}-Red-enhanced VchCAST achieved increased editing efficiency in the industrially important bacteria Pseudomonas putida and the emerging pathogen Klebsiella michiganensis. This study improves understanding of factors impacting VchCAST activity and enhances its efficiency as a bacterial genome editor. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/612086v2_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@12609e5org.highwire.dtl.DTLVardef@53a128org.highwire.dtl.DTLVardef@794e63org.highwire.dtl.DTLVardef@9835f_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2023

Genomic analysis of cultivated infant microbiomes identifies Bifidobacterium 2'-fucosyllactose utilization can be facilitated by co-existing species

Human milk oligosaccharides (HMOs) ensure proper infant gut microbiome establishment. Isolate studies have revealed the genetic basis for HMO metabolism, but they exclude the possibility of HMO assimilation via synergistic interactions involving multiple organisms. Here, we investigated microbiome responses to 2-fucosyllactose (2FL), a prevalent HMO and infant formula additive, by establishing individualized microbiomes using fecal samples from three different infants as the inocula. Bifidobacterium breve, a prominent member of infant microbiomes, typically cannot metabolize 2FL. Using metagenomic data, we predicted that extracellular fucosidases encoded by co-existing members such as Ruminococcus gnavus initiate 2FL breakdown, thus critical for B. breves growth. Using both targeted co-cultures and by supplementation of R. gnavus into one microbiome, we show that R. gnavus can promote extensive growth of B. breve through the release of lactose from 2FL. Overall, microbiome cultivation combined with genome-resolved metagenomics demonstrated that HMO utilization can vary with an individuals microbiome.

microbiology↗

bioRxiv2021

Convergent selection on juvenile hormone signaling is associated with the evolution of eusociality in bees

Sweat bees have repeatedly gained and lost eusociality, a transition from individual to group reproduction. Here, we generate chromosome-length genome assemblies for 17 species and identify genomic signatures of evolutionary trade-offs associated with transitions between social and solitary living. Both young genes and regulatory regions show enrichment for these molecular patterns. We also identify loci that show evidence of complementary signals of positive and relaxed selection linked specifically to the convergent gains and losses of eusociality in sweat bees. This includes two proteins that bind and transport juvenile hormone (JH) - a key regulator of insect development and reproduction. We find one of these JH binding proteins is primarily expressed in subperineurial glial cells that form the insect blood-brain barrier and that brain levels of JH vary by sociality. Our findings are consistent with a role of JH in modulating social behavior and suggest eusocial evolution was facilitated by alteration of the proteins that bind and transport JH, revealing how an ancestral, developmental hormone may have been co-opted during one of lifes major transitions. More broadly, our results highlight how trade-offs have structured the molecular basis of eusociality in these bees and demonstrate how both directional selection and release from constraint can shape trait evolution.

evolutionary biology↗

bioRxiv2020

Individual differences in honey bee (Apis mellifera) behavior enabled by plasticity in brain gene regulatory networks

Understanding the regulatory architecture of phenotypic variation is a fundamental goal in biology, but connections between gene regulatory network (GRN) activity and individual differences in behavior are poorly understood. We characterized the molecular basis of behavioral plasticity in queenless honey bee (Apis mellifera) colonies, where individuals engage in both reproductive and non-reproductive behaviors. Using high-throughput behavioral tracking, we discovered these colonies contain a continuum of phenotypes, with some individuals specialized for either egg-laying or foraging and "generalists" that perform both. Brain gene expression and chromatin accessibility profiles were correlated with behavioral variation, with generalists intermediate in behavior and molecular profiles. Models of brain GRNs constructed for individuals revealed that transcription factor (TF) activity was highly predictive of behavior, and behavior-associated regulatory regions had more TF motifs. These results provide new insights into the important role played by brain GRN plasticity in the regulation of behavior, with implications for social evolution.

genomics↗

bioRxiv2020

Targeted Genome Editing of Bacteria Within Microbial Communities

Knowledge of microbial gene functions comes from manipulating the DNA of individual species in isolation from their natural communities. While this approach to microbial genetics has been foundational, its requirement for culturable microorganisms has left the majority of microbes and their interactions genetically unexplored. Here we describe a generalizable methodology for editing the genomes of specific organisms within a complex microbial community. First, we identified genetically tractable bacteria within a community using a new approach, Environmental Transformation Sequencing (ET-Seq), in which non-targeted transposon integrations were mapped and quantified following community delivery. ET-Seq was repeated with multiple delivery strategies for both a nine-member synthetic bacterial community and a ~200-member microbial bioremediation community. We achieved insertions in 10 species not previously isolated and identified natural competence for foreign DNA integration that depends on the presence of the community. Second, we developed and used DNA-editing All-in-one RNA-guided CRISPR-Cas Transposase (DART) systems for targeted DNA insertion into organisms identified as tractable by ET-Seq, enabling organism- and locus-specific genetic manipulation within the community context. These results demonstrate a strategy for targeted genome editing of specific organisms within microbial communities, establishing a new paradigm for microbial manipulation relevant to research and applications in human, environmental, and industrial microbiomes.

microbiology↗

bioRxiv2019

The circadian clock and darkness control natural competence in cyanobacteria

Natural genetic competence-based transformation contributed to the evolution of prokaryotes, including the cyanobacterial phylum that established oxygenic photosynthesis. The cyanobacterium Synechococcus elongatus is noted both as a model system for analyzing a prokaryotic circadian clock and for its facile, but poorly understood, natural competence. Here a genome-wide screen aimed at determining the genetic basis of competence in cyanobacteria identified all genes required for natural transformation in S. elongatus, including conserved Type IV pilus, competence-associated, and newly described genes, and revealed that the circadian clock controls the process. The findings uncover a daily program that determines the state of competence in S. elongatus and adapts to seasonal changes of day-length. Pilus biogenesis occurs daily in the morning, but competence is maximal upon the coincidence of circadian dusk and the onset of darkness. As in heterotrophic bacteria, where natural competence is conditionally regulated by nutritional or other stress, cyanobacterial competence is conditional and is tied to the daily cycle set by the cells most critical nutritional source, the Sun.

microbiology↗

bioRxiv2018

Rate variation in conserved noncoding DNA reveals regulatory pathways associated with social evolution

The evolutionary origins of eusociality represent increases in complexity from individual to caste-based, group reproduction. These behavioral transitions have been hypothesized to go hand-in-hand with an increased ability to regulate when and where genes are expressed. Bees have convergently evolved eusociality up to five times, providing a framework to test this hypothesis. To examine potential links between putative gene regulatory elements and social evolution, we compare alignable, non-coding sequences in eleven diverse bee species, encompassing three independent origins of reproductive division of labor and two elaborations of eusocial complexity. We find that rates of evolution in a number of non-coding sequences correlate with key social transitions in bees. Interestingly, while we find little evidence for convergent rate changes associated with independent origins of social behavior, a number of molecular pathways exhibit convergent rate changes in conjunction with subsequent elaborations of social organization. We also present evidence that many novel non-coding regions may have been recruited alongside the origin of sociality in corbiculate bees; these loci could represent gene regulatory elements associated with division of labor within this group. Thus, our findings are consistent with the hypothesis that gene regulatory innovations are associated with the evolution of eusociality and illustrate how a thorough examination of both coding and non-coding sequence can provide a more complete understanding of the molecular mechanisms underlying behavioral evolution.

evolutionary biology↗

bioRxiv2018

Social insect colony size is correlated with rates of substitution and DNA repair gene evolution

Larger numbers of germline cell divisions can increase the number of mutations inherited by offspring. Therefore, in systems where the number of offspring is dependent on the number of germline cell divisions, a higher overall rate of molecular evolution may be expected. Here I examine whether colony size in social insects, which varies from tens to millions, influences molecular evolutionary rates by analyzing several recently collected datasets. First, I find that colony size is negatively correlated with GC-content across 115 ant genera, indicative of a positive relationship between substitution rate and colony size. Second, genome-wide rates of molecular evolution are positively correlated with colony size in three clades of social insects including eight species in the ant genus Pseudomyrmex, seven fungus-growing ants, and 11 bee species. The additional germline cell divisions necessary to maintain large colony sizes might lead to mutation accumulation in the germlines of queens of these species, a process similar to that which occurs in aging human males. I also find intensified constraint on DNA repair genes in species with large colonies, suggesting that the additional mutations that occur in these taxa increase selective pressure for improved replication fidelity. Colony size, a fundamental facet of eusociality, plays a previously unappreciated role in genome evolution.

evolutionary biology↗

bioRxiv2018

Genome-wide fitness assessment during diurnal growth reveals an expanded role of the cyanobacterial circadian clock protein KaiA

The recurrent pattern of light and darkness generated by Earths axial rotation has profoundly influenced the evolution of organisms, selecting for both biological mechanisms that respond acutely to environmental changes and circadian clocks that program physiology in anticipation of daily variations. The necessity to integrate environmental responsiveness and circadian programming is exemplified in photosynthetic organisms such as cyanobacteria, which depend on light-driven photochemical processes. The cyanobacterium Synechococcus elongatus PCC 7942 is an excellent model system for dissecting these entwined mechanisms. Its core circadian oscillator, consisting of three proteins KaiA, KaiB, and KaiC, transmits time-of-day signals to clock-output proteins, which reciprocally regulate global transcription. Research performed under constant light facilitates analysis of intrinsic cycles separately from direct environmental responses, but does not provide insight into how these regulatory systems are integrated during light-dark cycles. Thus, we sought to identify genes that are specifically necessary in a day-night environment. We screened a dense bar-coded transposon library in both continuous light and daily cycling conditions and compared the fitness consequences of loss of each nonessential gene in the genome. Although the clock itself is not essential for viability in light-dark cycles, the most detrimental mutations revealed by the screen were those that disrupt KaiA. The screen broadened our understanding of light-dark survival in photosynthetic organisms, identified unforeseen clock-protein interaction dynamics, and reinforced the role of the clock as a negative regulator of a night-time metabolic program that is essential for S. elongatus to survive in the dark.\n\nSignificanceUnderstanding how photosynthetic bacteria respond to and anticipate natural light-dark cycles is necessary for predictive modeling, bioengineering, and elucidating metabolic strategies for diurnal growth. Here, we identify the genetic components that are important specifically under light-dark cycling conditions and determine how a properly functioning circadian clock prepares metabolism for darkness, a starvation period for photoautotrophs. This study establishes that the core circadian clock protein KaiA is necessary to enable rhythmic de-repression of a night-time circadian program.

microbiology↗

bioRxiv2017

Social behavior in bees influences the abundance of Sodalis (Enterobacteriaceae) symbionts

Social interactions can facilitate transmission of microbes between individuals, reducing variation in gut communities within social groups. Thus, the evolution of social behaviors and symbiont community composition have the potential to be tightly linked. We explored this connection by characterizing the diversity of bacteria associated with both social and solitary bee species within the behaviorally variable family Halictidae using 16S amplicon sequencing. Contrary to expectations, we found few differences in bacterial abundance or variation between social forms, and most halictid species appear to share similar gut bacterial communities. However, several strains of Sodalis, a genus described as a symbiont in a variety of insects but yet to be characterized in bees, differ in abundance between social and solitary bees. Phylogenetic reconstructions based on whole-genome alignments indicate that Sodalis has independently colonized halictids at least three times. These strains appear to be mutually exclusive within individual bees, although they are not host-species-specific and no signatures of vertical transmission were observed, suggesting that Sodalis strains compete for access to hosts. De novo genome assemblies indicate that these three lineages are subject to widespread relaxed selection and that Sodalis is undergoing genome degeneration during the colonization of these hosts.

microbiology↗