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  <title><![CDATA[PhD Defense by Luis H Orellana]]></title>
  <body><![CDATA[<p><strong>School of Civil and Environmental Engineering</strong></p>

<p>&nbsp;</p>

<p><strong>Ph.D. Thesis Defense Announcement</strong></p>

<p>&nbsp;</p>

<p>Multiomic approaches for assessing the role of natural microbial communities in nitrous oxide emission from Midwestern agricultural soils</p>

<p>&nbsp;</p>

<p><strong>By</strong></p>

<p>Luis H Orellana</p>

<p>&nbsp;</p>

<p><strong>Advisor:</strong></p>

<p>Dr. Kostas Konstantinidis (CEE)</p>

<p>&nbsp;</p>

<p><strong>Committee Members:</strong></p>

<p>Dr. Jim Spain (CEE), Dr. Spyros Pavlostathis (CEE), Dr. Joe Brown (CEE), Dr. Joel Kostka (Biological Sciences), and</p>

<p>Dr. Frank L&ouml;ffler (U of Tennessee).</p>

<p>&nbsp;</p>

<p><strong>Date &amp; Time:</strong> Friday, April 28th, 2017, 1:00 pm</p>

<p><strong>Location:</strong> Ford ES&amp;T Building, Room L1125</p>

<p>Anthropogenic activities such as fossil fuel consumption and industrial nitrogen (N) fixation processes have increased</p>

<p>the N inputs into the environment. Even though the central role of microbes in N cycling is recognized, the identification and</p>

<p>diversity of these microbes and their pathways in agricultural soils are still lacking. This scarcity of information limits the</p>

<p>development of more accurate, predictive models of N-flux including the role of microbes in the generation and consumption</p>

<p>of important nitrogenous greenhouse gases (e.g., nitrous oxide, N2O). The advent of new high-throughput nucleic acid sequencing</p>

<p>technologies allows nowadays the exploration of soil microbial communities that were previously insufficiently studied</p>

<p>based on cultivation and PCR approaches.</p>

<p>In this work, we integrated experimental data and bioinformatic approaches to identify and quantify indigenous soil</p>

<p>microorganisms participating in N cycling in two distinct soils that typify the Midwest cornbelt. We developed a new bioinformatic</p>

<p>approach, called ROCker, to accurately detect target genes and transcripts in complex short-read metagenomes and metatranscriptomes,</p>

<p>which offered up to 60-fold lower false discovery rate compared to the common strategy of using e-value</p>

<p>thresholds. Using ROCker, we found an unexpectedly high abundance of nitrous oxide reductase genes, the only known biological</p>

<p>sink of N2O, in soil and aquatic environments. Further, we show that microbial communities are remarkably stable across</p>

<p>the year in typical agricultural soils compared to other environments except during nitrogen fertilization events, which stimulate</p>

<p>the activity of novel nitrogen-utilizing <em>Nitrospirae </em>and <em>Thaumarchaeota </em>taxa. Lastly, we assessed the power of omic</p>

<p>techniques to predict microbial in-situ activity rates and found high correlations between target gene transcripts and experimentally</p>

<p>measured nitrification activity in soil mesocosms. These findings advance the molecular toolbox for studying complex</p>

<p>microbial communities and have implications for better understanding and modeling the dynamics of the keystone microbial</p>

<p>species that control the N cycle in soils.</p>

<p>&nbsp;</p>
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