Title: Draft Genome Sequences of Four Saccharibacter sp. Strains Isolated from Native Bees
ABSTRACT The genus Saccharibacter is currently understudied, with only one described species, Saccharibacter floricola , isolated from a flower. In an effort to better understand the microbes that come in contact with native bee pollinators, we isolated and sequenced four additional strains of Saccharibacter from native bees in the genera Melissodes and Anthophora . These genomes range in size from 2,104,494 to 2,316,791 bp (mean, 2,246,664 bp) and contain between 1,860 and 2,167 (mean, 2,060) protein-coding genes. more »« less
Fast, Kayla M.; Johnson, Kadaisha G.; Mayfield, Kaitlyn N.; Stephens, Leah A.; Reid, T. Hunter; Ryan, Emma D.; Keener, Tracy W.; Sandel, Michael W.
(, Microbiology Resource Announcements)
Roux, Simon
(Ed.)
ABSTRACT Mycobacteriophages OKaNui and DroogsArmy were isolated from soil using the bacterial host Mycobacterium smegmatis mc 2 155, which belongs to the phylum Actinobacteria . OKaNui was discovered in east Mississippi and DroogsArmy in west Alabama in the United States. The genomes of OKaNui and DroogsArmy were 51,424 bp and 53,254 bp long, respectively.
Two lytic phages infectingGordonia rubripertinctawere isolated from irrigated desert soil. Phage LilyPad and PokyPuppy have 64,158-bp and 77,065-bp genomes, respectively. Based on gene content similarity to phages in the Actinobacteriophage database, LilyPad is assigned to phage subcluster DG1 and PokyPuppy to subcluster CS2.
Flota, Maximiliano F.; Moss, Caitlyn R.; Balish, Mitchell F.; Chen, Nikki; Cherry, Kristen C.; Cornely, Kathleen A.; D’Alessandro, Hayley M.; DiBenedetto, Mouna S.; DeGiorgis, Joseph A.; Dixon, Steven Grant; et al
(, Microbiology Resource Announcements)
Stedman, Kenneth M.
(Ed.)
ABSTRACT The mycobacteriophages JeTaime (E cluster) and Luna22 (Q cluster) were isolated from soil in Providence, Rhode Island, and Charleston, South Carolina, respectively, using a Mycobacterium smegmatis mc 2 155 host. The genome of JeTaime is 75,099 bp (142 predicted genes), and that of Luna22 is 53,730 bp (87 predicted genes). Both phages exhibit Siphoviridae morphology.
Kulkarni, Samruddhi S.; Katebi, Nasim; Valderrama, Camilo E.; Rohloff, Peter; Clifford, Gari D.
(, Frontiers in Artificial Intelligence)
null
(Ed.)
Routine blood pressure (BP) measurement in pregnancy is commonly performed using automated oscillometric devices. Since no wireless oscillometric BP device has been validated in preeclamptic populations, a simple approach for capturing readings from such devices is needed, especially in low-resource settings where transmission of BP data from the field to central locations is an important mechanism for triage. To this end, a total of 8192 BP readings were captured from the Liquid Crystal Display (LCD) screen of a standard Omron M7 self-inflating BP cuff using a cellphone camera. A cohort of 49 lay midwives captured these data from 1697 pregnant women carrying singletons between 6 weeks and 40 weeks gestational age in rural Guatemala during routine screening. Images exhibited a wide variability in their appearance due to variations in orientation and parallax; environmental factors such as lighting, shadows; and image acquisition factors such as motion blur and problems with focus. Images were independently labeled for readability and quality by three annotators (BP range: 34–203 mm Hg) and disagreements were resolved. Methods to preprocess and automatically segment the LCD images into diastolic BP, systolic BP and heart rate using a contour-based technique were developed. A deep convolutional neural network was then trained to convert the LCD images into numerical values using a multi-digit recognition approach. On readable low- and high-quality images, this proposed approach achieved a 91% classification accuracy and mean absolute error of 3.19 mm Hg for systolic BP and 91% accuracy and mean absolute error of 0.94 mm Hg for diastolic BP. These error values are within the FDA guidelines for BP monitoring when poor quality images are excluded. The performance of the proposed approach was shown to be greatly superior to state-of-the-art open-source tools (Tesseract and the Google Vision API). The algorithm was developed such that it could be deployed on a phone and work without connectivity to a network.
Abstract Multiwavelength bright points (BPs) are taken to be cross sections of magnetic flux tubes extending from the surface of the photosphere upward to the higher photosphere. We aim to study the characteristics of isolated multiwavelength BPs using the cotemporal and cospatial TiO band and H α line wings from the Goode Solar Telescope at Big Bear Solar Observatory. A deep-learning method, based on Track Region-based Convolutional Neural Networks, is proposed to detect, segment, and match the BPs across multiple wavelength observations, including the TiO, H α + 1 Å, H α − 1 Å, H α + 0.8 Å, and H α − 0.8 Å line wings. Based on the efficient detection and matching result with a precision of 0.98, 1283 groups of BPs matched in all five wavelengths are selected for statistics analysis. The characteristic values of the BPs observed at the same red and blue line wings are averaged. For the BPs of the TiO, averaged H α ± 1 Å, and averaged H α ± 0.8 Å line wings, the mean equivalent diameters are 162 ± 32, 254 ± 33, and 284 ± 28 km, respectively. The maximum intensity contrasts are 1.11 ± 0.09, 1.05 ± 0.03, and 1.05 ± 0.02 , respectively. The mean eccentricities are 0.65 ± 0.14, 0.63 ± 0.11, and 0.65 ± 0.11, respectively. Moreover, the characteristic ratios of each H α ± 1 Å and H α ± 0.8 Å BP to its corresponding TiO BP are derived. H α ± 1 Å and H α ± 0.8 Å line wings BPs show 60% and 80% increases compared to TiO BPs, respectively. With increasing height, most BPs almost keep their shapes. This work is helpful for modeling the three-dimensional structure of flux tubes.
Smith, Eric A., Vuong, Hoang Q., Miller, Delaney L., Parish, Audrey J., McFrederick, Quinn S., and Newton, Irene L. Draft Genome Sequences of Four Saccharibacter sp. Strains Isolated from Native Bees. Retrieved from https://par.nsf.gov/biblio/10215880. Microbiology Resource Announcements 9.10 Web. doi:10.1128/MRA.00022-20.
Smith, Eric A., Vuong, Hoang Q., Miller, Delaney L., Parish, Audrey J., McFrederick, Quinn S., and Newton, Irene L.
"Draft Genome Sequences of Four Saccharibacter sp. Strains Isolated from Native Bees". Microbiology Resource Announcements 9 (10). Country unknown/Code not available. https://doi.org/10.1128/MRA.00022-20.https://par.nsf.gov/biblio/10215880.
@article{osti_10215880,
place = {Country unknown/Code not available},
title = {Draft Genome Sequences of Four Saccharibacter sp. Strains Isolated from Native Bees},
url = {https://par.nsf.gov/biblio/10215880},
DOI = {10.1128/MRA.00022-20},
abstractNote = {ABSTRACT The genus Saccharibacter is currently understudied, with only one described species, Saccharibacter floricola , isolated from a flower. In an effort to better understand the microbes that come in contact with native bee pollinators, we isolated and sequenced four additional strains of Saccharibacter from native bees in the genera Melissodes and Anthophora . These genomes range in size from 2,104,494 to 2,316,791 bp (mean, 2,246,664 bp) and contain between 1,860 and 2,167 (mean, 2,060) protein-coding genes.},
journal = {Microbiology Resource Announcements},
volume = {9},
number = {10},
author = {Smith, Eric A. and Vuong, Hoang Q. and Miller, Delaney L. and Parish, Audrey J. and McFrederick, Quinn S. and Newton, Irene L.},
editor = {Dunning Hotopp, Julie C.}
}
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