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Background/Objectives: The potential of DNA as an information-dense storage medium has inspired a broad spectrum of creative systems. In particular, hybrid biomolecular systems that integrate new materials and chemistries with DNA could drive novel functions. In this work, we explore the potential for proteins to serve as molecular file addresses. We stored DNA-encoded data in yeast and leveraged yeast surface display to readily produce the protein addresses and make them easy to access on the cell surface. Methods: We generated yeast populations that each displayed a distinct protein on their cell surfaces. These proteins included binding partners for cognate antibodies as well as chromatin-associated proteins that bind post-translationally modified histone peptides. For each specific yeast population, we transformed a library of hundreds of DNA sequences collectively encoding a specific image file. Results: We first demonstrated that the yeast retained file-encoded DNA through multiple cell divisions without a noticeable skew in their distribution or a loss in file integrity. Second, we showed that the physical act of sorting yeast displaying a specific file address was able to recover the desired data without a loss in file fidelity. Finally, we showed that analog addresses can be achieved by using addresses that have overlapping binding specificities for target peptides. Conclusions: These results motivate further exploration into the advantages proteins may confer in molecular information storage. 

Abstract BackgroundCache Valley virus (CVV) is an understudiedOrthobunyaviruswith a high spillover transmission potential due to its wide geographical distribution and large number of associated hosts and vectors. Although CVV is known to be widely distributed throughout North America, no studies have explored its geography or employed computational methods to explore the mammal and mosquito species likely participating in the CVV sylvatic cycle. MethodsWe used a literature review and online databases to compile locality data for CVV and its potential vectors and hosts. We linked location data points with climatic data via ecological niche modeling to estimate the geographical range of CVV and hotspots of transmission risk. We used background similarity tests to identify likely CVV mosquito vectors and mammal hosts to detect ecological signals from CVV sylvatic transmission. ResultsCVV distribution maps revealed a widespread potential viral occurrence throughout North America. Ecological niche models identified areas with climate, vectors, and hosts suitable to maintain CVV transmission. Our background similarity tests identifiedAedes vexans,Culiseta inornata, andCulex tarsalisas the most likely vectors andOdocoileus virginianus(white-tailed deer) as the most likely host sustaining sylvatic transmission. ConclusionsCVV has a continental-level, widespread transmission potential. Large areas of North America have suitable climate, vectors, and hosts for CVV emergence, establishment, and spread. We identified geographical hotspots that have no confirmed CVV reports to date and, in view of CVV misdiagnosis or underreporting, can guide future surveillance to specific localities and species. Graphical Abstract 

Two Lab-on-Chip sensors, one measuring nitrate + nitrite (here after nitrate) and one measuring silicic acid (here after silicate), were deployed on the Ocean Observing Initiative (OOI) Southern Ocean Array surface mooring at a depth of approximately 12m on the near surface instrument frame in the southeast Pacific Ocean (-54 N, -89W). The nitrate sensor operated as expected for the full deployment period (6/12/2018 to 19/1/2020), collecting daily measurements. The silicate sensor operated as expected for almost ten months (until 1/10/2019), collecting up to four measurements per day. The OOI surface mooring was deployed in December 2018 on research cruise DY096 and recovered in January 2020 on research cruise DY112. The sensors and associated research cruises (DY096 and DY112) were supported by the Natural Environment Research Council (NERC) RoSES Carbon Uptake and Seasonal Trends in Antarctic Remineralisation Depth (CUSTARD) project. This material is based upon work supported by the Ocean Observatories Initiative, which is a major facility fully funded by the National Science Foundation (NSF). 

Abstract BackgroundWith the advances in high-throughput sequencing and bioinformatic pipelines, mitochondrial genomes have become increasingly popular for phylogenetic analyses across different clades of invertebrates. Despite the vast rise in available mitogenomic datasets of molluscs, one class of aplacophoran molluscs – Solenogastres (or Neomeniomorpha) – is still neglected. ResultsHere, we present six new mitochondrial genomes from five families of Solenogastres (Amphimeniidae, Gymnomeniidae, Proneomeniidae, Pruvotinidae, Simrothiellidae), including the first complete mitogenomes, thereby now representing three of the four traditional orders. Solenogaster mitogenomes are variable in size (ranging from approximately 15,000 bp to over 17,000 bp). The gene order of the 13 protein coding genes and two rRNA genes is conserved in three blocks, but considerable variation occurs in the order of the 22 tRNA genes. Based on phylogenetic analyses and reconstruction of ancestral mitochondrial genomes of Aculifera, the position of (1) trnD gene between atp8 and atp6, (2) trnT and P genes between atp6 and nad5, and (3) trnL1 gene between G and E, resulting in a ‘MCYWQGL1E’-block of tRNA genes, are all three considered synapomorphies for Solenogastres. The tRNA gene block ‘KARNI’ present in Polyplacophora and several conchiferan taxa is dissolved in Solenogastres. ConclusionOur study shows that mitogenomes are suitable to resolve the phylogenetic relationships among Aculifera and within Solenogastres, thus presenting a cost and time efficient compromise to approach evolutionary history in these clades.