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SummaryRecent studies in Saccharomyces cerevisiae have unveiled that meiotic recombination crossovers are formed by two genetically distinct pathways: a major interference-sensitive pathway and a minor interferenceinsensitive pathway. Several proteins, including the MSH4/MSH5 heterodimer and the MER3 DNA helicase, are indispensable for the interference-sensitive pathway. MSH4 homologs have been identified in mice and Arabidopsis and shown to be required for normal levels of crossovers, suggesting that the function of MSH4 may be conserved among major eukaryotic kingdoms. However, it is not known whether an MER3-like function is also required for meiosis in animals and plants. We have identified an Arabidopsis gene that encodes a putative MER3 homolog and is preferentially expressed in meiocytes. T-DNA insertional mutants of this gene exhibit defects in fertility and meiosis. Detailed cytological studies indicate that the mutants are defective in homolog synapsis and crossover formation, resulting in a reduction of bivalents and in the formation of univalents at late prophase I. We have named this gene ROCK-N-ROLLERS (RCK) to reflect the mutant phenotype of chromosomes undergoing the meiotic 'dance' either in pairs or individually. Our results demonstrate that an MER3-like function is required for meiotic crossover in plants and provide further support for the idea that Arabidopsis, like the budding yeast, possesses both interference-sensitive and insensitive pathways for crossover formation.

Bacterial antibiotic resistance is typically quantified by the minimum inhibitory concentration (MIC), which is defined as the minimal concentration of antibiotic that inhibits bacterial growth starting from a standard cell density. However, when antibiotic resistance is mediated by degradation, the collective inactivation of antibiotic by the bacterial population can cause the measured MIC to depend strongly on the initial cell density. In cases where this inoculum effect is strong, the relationship between MIC and bacterial fitness in the antibiotic is not well defined. Here, we demonstrate that the resistance of a single, isolated cell—which we call the single-cell MIC (scMIC)—provides a superior metric for quantifying antibiotic resistance. Unlike the MIC, we find that the scMIC predicts the direction of selection and also specifies the antibiotic concentration at which selection begins to favor new mutants. Understanding the cooperative nature of bacterial growth in antibiotics is therefore essential in predicting the evolution of antibiotic resistance.

Author Contributions: JRA initiated study concept and design acquisition of data, analysis and interpretation of data, and drafting of the manuscript. YG, ST, MS analyzed and interpreted microbiome sequencing results. BHM, AP and JRM analyzed and interpreted the metabolomics results. MC participated in data acquisition. ZK participated in interpretation of data and critical revision of the manuscript DP and JK provided critical revisions of manuscript.