Resume

• 2015

  Marymount University

  University of Maryland Global Campus

  Professor teaching \"Life in the Oceans\" and \"Human Health and Disease\"

  University of Maryland Global Campus

  Adjunct Professor

  Univerity of Maryland Global Campus

  Lecturer in Microbiology

  Cellular Biology

  and Science Writing

  Marymount University

• 2014

  Northern Virginia Community College

  West Virginia Wesleyan College

  Buckhannon

  WV

  Microbiology Instructor - Temporary

  West Virginia Wesleyan College

  Northern Virginia Community College

• 2013

  Association for Women in Science

• 2012

  Association for Women in Science

  Association for Women In Science

• 2011

  The Scientific Consulting Group

  Inc.

  The Scientific Consulting Group

  Inc.

• 2009

  U.S. Naval Research Laboratory

  U.S. Naval Research Laboratory

• 2008

  ScienceDocs

  Inc.

  Univerity of Maryland Global Campus

  ScienceDocs

  Inc.

  Association for Women in Science (AWIS)

• 2004

  Association for Women in Science (AWIS)

  Association for Women in Science (AWIS)

• 2003

  Ph.D.

  Howard

  Erinn C.

  James R. Henriksen

  Alison Buchan

  Chris R. Reisch

  Helmut Bürgmann

  et al. 2006. Bacterial Taxa Limiting Sulfur Flux from the Ocean. Science 314: 649. \n\nMoran

  M.A.

  R. Belas

  M. A. Schell

  J. M. González

  F. Sun

  S. Sun

  B. J. Binder

  J. Edmonds

  W. Ye

  B. Orcutt

  E. C. Howard

  et al. 2007. Ecological Genomics of Marine Roseobacters. AEM 73 (14): 4559.\n\nBürgmann

  Helmut

  Erinn C. Howard

  et al. 2007. Transcriptional Response of Silicibacter pomeryoi DSS-3 to Dimethylsulfoniopropionate (DMSP). Environmental Microbiology 9 (11): 2742.\n\nHoward

  Erinn C.

  Shulei Sun

  Erin J. Biers

  and Mary Ann Moran. 2008. Abundant and Diverse Bacteria Involved in DMSP Degradation in Marine Surface Waters. Environmental Microbiology. 10 (9): 2397. \n\nHoward

  Erinn C. 2008. “Genetics

  Diversity

  and Distribution of the Dimethylsulfoniopropionate (DMSP) Demethylase in Marine Bacterioplankton.” Doctoral Dissertation

  University of Georgia.

  Microbiology

• 1999

  B.S.

  Biology (Environmental Studies minor)

• Biotechnology

  Ecology

  Scientific Writing

  Science

  Chemistry

  Biochemistry

  Research

  Magazine Articles

  R

  Cell Culture

  Editing

  Non-profit Leadership

  Lifesciences

  Genomics

  Technical Writing

  Western Blotting

  Teaching

  Digital Magazines

  Molecular Biology

  Microbiology

  Deep sequencing of a dimethylsulfoniopropionate-degrading gene (dmdA) by using PCR primer pairs designed on the basis of marine metagenomic data

  Mary Ann Moran

  In silico design and testing of environmental primer pairs with metagenomic data are beneficial for capturing a greater proportion of the natural sequence heterogeneity in microbial functional genes

  as well as for understanding limitations of existing primer sets that were designed from more restricted sequence data. PCR primer pairs targeting 10 environmental clades and subclades of the dimethylsulfoniopropionate (DMSP) demethylase protein

  DmdA

  were designed using an iterative bioinformatic approach that took advantage of thousands of dmdA sequences captured in marine metagenomic data sets. Using the bioinformatically optimized primers

  dmdA genes were amplified from composite free-living coastal bacterioplankton DNA (from 38 samples over 5 years and two locations) and sequenced using 454 technology. An average of 6

  400 amplicons per primer pair represented more than 700 clusters of environmental dmdA sequences across all primers

  with clusters defined conservatively at >90% nucleotide sequence identity (approximately 95% amino acid identity). Degenerate and inosine-based primers did not perform better than specific primer pairs in determining dmdA richness and sometimes captured a lower degree of richness of sequences from the same DNA sample. A comparison of dmdA sequences in free-living versus particle-associated bacteria in southeastern U.S. coastal waters showed that sequence richness in some dmdA subgroups differed significantly between size fractions

  though most gene clusters were shared (52 to 91%) and most sequences were affiliated with the shared clusters (approximately 90%). The availability of metagenomic sequence data has significantly enhanced the design of quantitative PCR primer pairs for this key functional gene

  providing robust access to the capabilities and activities of DMSP demethylating bacteria in situ.

  Deep sequencing of a dimethylsulfoniopropionate-degrading gene (dmdA) by using PCR primer pairs designed on the basis of marine metagenomic data

  Howard