Aneuploidy decreases cellular fitness, yet it is also associated with cancer, a disease of enhanced proliferative capacity. To investigate one mechanism by which aneuploidy could contribute to tumorigenesis, we examined the effects of aneuploidy on genomic stability. We analyzed 13 budding yeast strains that carry extra copies of single chromosomes and found that all aneuploid strains exhibited one or more forms of genomic instability. Most strains displayed increased chromosome loss and mitotic recombination, as well as defective DNA damage repair. Aneuploid fission yeast strains also exhibited defects in mitotic recombination. Aneuploidy-induced genomic instability could facilitate the development of genetic alterations that drive malignant growth in cancer.

Silencing within the yeast ribosomal DNA (rDNA) repeats protects the integrity of this highly repetitive array by inhibiting hyperrecombination and repressing transcription from foreign promoters. Using affinity purification combined with highly sensitive mixture mass spectrometry, we have analyzed the protein interaction network involved in suppressing homologous recombination within the rDNA locus. We show that the Net1 and Sir2 subunits of the RENT (regulator of nucleolar silencing and telophase exit) silencing complex, and Fob1, which recruits RENT to the nontranscribed spacer I (NTS1) region of rDNA, are physically associated with Tof2. In addition to RENT components and Fob1, Tof2 copurified with a two-subunit complex composed of Lrs4 and Csm1. Tof2, Lrs4, and Csm1 are recruited to the NTS1 region by Fob1 and are specifically required for silencing at this rDNA region. Moreover, Lrs4 and Csm1 act synergistically with Sir2 to suppress unequal crossover at the rDNA and are released from the nucleolus during anaphase. Together with previous observations showing that Csm1 physically associates with cohesin, these findings suggest a possible model in which RENT, Tof2, and Lrs4/Csm1 physically clamp rDNA to the cohesin ring, thereby restricting the movement of rDNA sister chromatids relative to each other to inhibit unequal exchange.[Keywords: rDNA silencing; rDNA recombination; Lrs4; Csm1; cohesin; Sir2] Supplemental material is available at http://www.genesdev.org. Eukaryotic genomes contain a wide variety of repetitive DNA, including arrays of essential genes, transposons, and retroelements. Such repetitive sequences are attractive substrates for homologous recombination events, some of which may lead to unwanted chromosomal rearrangements or repeat instability due to unequal crossover between sister chromatids. Cells have therefore evolved mechanisms that protect regions such as the ribosomal DNA (rDNA) locus, a prime example of a highly repetitious segment of the genome whose stability is absolutely critical for growth and survival.In all eukaryotes, rDNA is organized as one or more arrays containing anywhere from <100 to >10,000 repeating units, which can form one or more nucleoli where rRNA synthesis, processing, and assembly into ribosomes occur (Nomura 2001). How the integrity of rDNA is maintained is not well understood, but has been extensively studied in the budding yeast Saccharomyces cerevisiae, which has 100-200 copies of rDNA tandemly repeated (Petes and Botstein 1977). However, rDNA recombination rates in budding yeast are significantly lower than would be expected for such a large, repetitive locus, indicating that recombination within the array is negatively regulated (Petes 1980). Such regulation is important for suppression of unequal recombination events that cause loss of repeats or generate extrachromosomal rDNA circles, the latter of which leads to premature cellular senescence in this organism (Sinclair and Guarente 1997).Several lines of evidence indicate that suppression of recombinat...

Recent work has underscored the importance of the microbiome in human health, largely attributing differences in phenotype to differences in the species present across individuals1,2,3,4,5. But mobile genes can confer profoundly different phenotypes on different strains of the same species. Little is known about the function and distribution of mobile genes in the human microbiome, and in particular whether the gene pool is globally homogenous or constrained by human population structure. Here, we investigate this question by comparing the mobile genes found in the microbiomes of 81 metropolitan North Americans with that of 172 agrarian Fiji islanders using a combination of single-cell genomics and metagenomics. We find large differences in mobile gene content between the Fijian and North American microbiomes, with functional variation that mirrors known dietary differences such as the excess of plant-based starch degradation genes. Remarkably, differences are also observed between the mobile gene pools of proximal Fijian villages, even though microbiome composition across villages is similar. Finally, we observe high rates of recombination leading to individual-specific mobile elements, suggesting that the abundance of some genes may reflect environmental selection rather than dispersal limitation. Together, these data support the hypothesis that human activities and behaviors provide selective pressures that shape mobile gene pools, and that acquisition of mobile genes is important to colonizing specific human populations.

Many microbial communities are characterized by high genetic diversity. 16S ribosomal RNA sequencing can determine community members, and metagenomics can determine the functional diversity, but resolving the functional role of individual cells in high throughput remains an unsolved challenge. Here, we describe epicPCR (Emulsion, Paired Isolation and Concatenation PCR), a new technique that links functional genes and phylogenetic markers in uncultured single cells, providing a throughput of hundreds of thousands of cells with costs comparable to one genomic library preparation. We demonstrate the utility of our technique in a natural environment by profiling a sulfate-reducing community in a freshwater lake, revealing both known sulfate reducers and discovering new putative sulfate reducers. Our method is adaptable to any conserved genetic trait and translates genetic associations from diverse microbial samples into a sequencing library that answers targeted ecological questions. Potential applications include identifying functional community members, tracing horizontal gene transfer networks and mapping ecological interactions between microbial cells.