Draft Genome Sequences of 16 Halophilic Prokaryotes Isolated from Diverse Environments

@article{RodriguezMedina2020DraftGS,
  title={Draft Genome Sequences of 16 Halophilic Prokaryotes Isolated from Diverse Environments},
  author={Joel Rodriguez-Medina and Hyunsoo Gloria Kim and J{\'u}lia Z. Castro and Cameron M Contreras and Celine L Glon and Aditi Goyal and Bonnie Y Guo and Sarai Knowles and Jason C. Lin and Casey L McGuiness and Eldar Sorkin and Jordan Stefani and Sai J Yegireddi and Shyama Chaganti and Dante Cui and Samuel L. Deck and Yashvi Deokule and Hallie Douglas and Matthew W. Kenaston and Alana O'Brien and Emily Patterson and Nathan Schoppa and Dean Tran Vo and Kelly Tran and Thuy-Linh Tran and Valeria P{\'e}rez-Irizarry and Krismarie Carrasquillo-Nieves and Rafael Montalvo-Rodr{\'i}guez and Andrew I. Yao and John G. Albeck and Marc T. Facciotti and Alex S. Nord and Robert E. Furrow},
  journal={Microbiology Resource Announcements},
  year={2020},
  volume={9}
}
Halophile-specific enzymes have wide-ranging industrial and commercial applications. Despite their importance, there is a paucity of available halophile whole-genome sequences. Here, we report the draft genome sequences of 16 diverse salt-tolerant strains of bacteria and archaea isolated from a variety of high-salt environments. ABSTRACT Halophile-specific enzymes have wide-ranging industrial and commercial applications. Despite their importance, there is a paucity of available halophile whole… 
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The Methods of Digging for “Gold” within the Salt: Characterization of Halophilic Prokaryotes and Identification of Their Valuable Biological Products Using Sequencing and Genome Mining Tools
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The main aim of this review is to highlight the nucleic acid sequencing experimental strategies used in halophile studies in concert with the presentation of recent examples of bioproducts and functions discovered in silico in the halophile’s genomes.
Combining Microbial Culturing With Mathematical Modeling in an Introductory Course-Based Undergraduate Research Experience
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It is argued that the classroom application of microbiology methods, combined with mathematical modeling using student-generated data, provides a degree of student ownership, collaboration, iteration, and discovery that makes quantitative learning both relevant and exciting to students.

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