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We report the synthesis and characterization of naphthalene and anthracene scaffolds end-capped by cyclic imides. The solid-state structures of theN-phenyl derivatives, determined by X-ray crystallography, reveal changes in packing preference based on the number of aromatic rings in the core. The optical and electronic properties of the title compounds compare favorably with other previously described isomers and expand the toolbox of electron-deficient aromatic compounds available to organic materials chemists. 

Understanding metabolism in the pathogen Candida glabrata is key to identifying new targets for antifungals. The thiamine biosynthetic (THI) pathway is partially defective in C . glabrata , but the transcription factor Cg Pdc2 upregulates some thiamine biosynthetic and transport genes. One of these genes encodes a recently evolved thiamine pyrophosphatase ( CgPMU3 ) that is critical for accessing external thiamine. Here, we demonstrate that Cg Pdc2 primarily regulates THI genes. In Saccharomyces cerevisiae , Pdc2 regulates both THI and pyruvate decarboxylase (PDC) genes, with PDC proteins being a major thiamine sink. Deletion of PDC2 is lethal in S . cerevisiae in standard growth conditions, but not in C . glabrata . We uncover cryptic cis elements in C . glabrata PDC promoters that still allow for regulation by Sc Pdc2, even when that regulation is not apparent in C . glabrata . C . glabrata lacks Thi2, and it is likely that inclusion of Thi2 into transcriptional regulation in S . cerevisiae allows for a more complex regulation pattern and regulation of THI and PDC genes. We present evidence that Pdc2 functions independent of Thi2 and Thi3 in both species. The C-terminal activation domain of Pdc2 is intrinsically disordered and critical for species differences. Truncation of the disordered domains leads to a gradual loss of activity. Through a series of cross species complementation assays of transcription, we suggest that there are multiple Pdc2-containing complexes, and C . glabrata appears to have the simplest requirement set for THI genes, except for CgPMU3 . CgPMU3 has different cis requirements, but still requires Pdc2 and Thi3 to be upregulated by thiamine starvation. We identify the minimal region sufficient for thiamine regulation in CgTHI20 , CgPMU3 , and ScPDC5 promoters. Defining the cis and trans requirements for THI promoters should lead to an understanding of how to interrupt their upregulation and provide targets in metabolism for antifungals. 

ABSTRACT TUP1 is a well-characterized repressor of transcription in Saccharomyces cerevisiae and Candida albicans and is observed as a single-copy gene. We observe that most species that experienced a whole-genome duplication outside of the Saccharomyces genus have two copies of TUP1 in the Saccharomycotina yeast clade. We focused on Candida glabrata and demonstrated that the uncharacterized TUP1 homolog, C. glabrata TUP11 ( CgTUP11 ), is most like the S. cerevisiae TUP1 ( ScTUP1 ) gene through phenotypic assays and transcriptome sequencing (RNA-seq). Whereas CgTUP1 plays a role in gene repression, it is much less repressive in standard growth media. Through RNA-seq and reverse transcription-quantitative PCR (RT-qPCR), we observed that genes associated with pathogenicity ( YPS2 , YPS4 , and HBN1 ) are upregulated upon deletion of either paralog, and loss of both paralogs is synergistic. Loss of the corepressor CgCYC8 mimics the loss of both paralogs, but not to the same extent as the Cgtup1 Δ Cgtup11 Δ mutant for these pathogenesis-related genes. In contrast, genes involved in energy metabolism ( CgHXT2 , CgADY2 , and CgFBP1 ) exhibit similar behavior (dependence on both paralogs), but deletion of CgCYC8 is very similar to the Cgtup1 Δ Cgtup11 Δ mutant. Finally, some genes ( CgMFG1 and CgRIE1 ) appear to only be dependent on CgTUP11 and CgCYC8 and not CgTUP1 . These data indicate separable and overlapping roles for the two TUP1 paralogs and that other genes may function as the Cg Cyc8 corepressor. Through a comparison by RNA-seq of Sctup1 Δ, it was found that TUP1 homologs regulate similar genes in the two species. This work highlights that studies focused only on Saccharomyces may miss important biological processes because of paralog loss after genome duplication. IMPORTANCE Due to a whole-genome duplication, many yeast species related to C. glabrata have two copies of the well-characterized TUP1 gene, unlike most Saccharomyces species. This work identifies roles for the paralogs in C. glabrata , highlights the importance of the uncharacterized paralog, called TUP11 , and suggests that the two paralogs have both overlapping and unique functions. The TUP1 paralogs likely influence pathogenicity based on tup mutants upregulating genes that are associated with pathogenicity. 

In this work, we explore the unique challenges---and opportunities---of unsupervised federated learning (FL). We develop and analyze a one-shot federated clustering scheme, k-FED, based on the widely-used Lloyd's method for k-means clustering. In contrast to many supervised problems, we show that the issue of statistical heterogeneity in federated networks can in fact benefit our analysis. We analyse k-FED under a center separation assumption and compare it to the best known requirements of its centralized counterpart. Our analysis shows that in heterogeneous regimes where the number of clusters per device (k') is smaller than the total number of clusters over the network k, ($$k' \le \sqrt{k}$$), we can use heterogeneity to our advantage---significantly weakening the cluster separation requirements for k-FED. From a practical viewpoint, k-FED also has many desirable properties: it requires only round of communication, can run asynchronously, and can handle partial participation or node/network failures. We motivate our analysis with experiments on common FL benchmarks, and highlight the practical utility of one-shot clustering through use-cases in personalized FL and device sampling. 

Eddy covariance measurement systems provide direct observation of the exchange of greenhouse gases between ecosystems and the atmosphere, but have only occasionally been intentionally applied to quantify the carbon dynamics associated with specific climate mitigation strategies. Natural climate solutions (NCS) harness the photosynthetic power of ecosystems to avoid emissions and remove atmospheric carbon dioxide (CO2), sequestering it in biological carbon pools. In this perspective, we aim to determine which kinds of NCS strategies are most suitable for ecosystem-scale flux measurements and how these measurements should be deployed for diverse NCS scales and goals. We find that ecosystem-scale flux measurements bring unique value when assessing NCS strategies characterized by inaccessible and hard-to-observe carbon pool changes, important non-CO2 greenhouse gas fluxes, the potential for biophysical impacts, or dynamic successional changes. We propose three deployment types for ecosystem-scale flux measurements at various NCS scales to constrain wide uncertainties and chart a workable path forward: “pilot”, “upscale”, and “monitor”. Together, the integration of ecosystem-scale flux measurements by the NCS community and the prioritization of NCS measurements by the flux community, have the potential to improve accounting in ways that capture the net impacts, unintended feedbacks, and on-the-ground specifics of a wide range of emerging NCS strategies.