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Effect of LSU and ITS genetic markers and reference databases on analyses of fungal communities
The effect of genetic markers and reference databases on analyses of fungal communities were estimated using fungal large subunit (LSU) and internal transcribed spacer (ITS) amplicon datasets in consecutive years of rhizosphere samples from three candidate biofuel crops, corn (Zea mays), switchgrass (Panicum virgatum), and miscanthus (Miscanthus × giganteus). These two marker genes were selected to contrast possible differences in biological conclusions. In addition, two ITS schemes based on two ITS reference databases were used to assess differences due to reference database composition. A taxonomy-supervised method was invoked using the Ribosomal Database Project naïve Bayesian classifier that accesses all three databases. The UNITE classification scheme had the highest number of classified taxa in the raw classification result; however, it also had the highest proportion of unknown taxa (sequences that were classified to “unclassified,” “unidentified,” incertae sedis or, in the case of Warcup, to matches containing two unique names). After removal of these unknown taxa, LSU had the highest classification rate followed by Warcup and UNITE. As expected, the communities resolved using the two ITS databases, based on the same sequences, were relatively more similar than those from the lower-coverage LSU classification scheme. The choice of marker gene or even the same reads with different classification databases revealed different community patterns due to database coverage, e.g., the relative abundance of the most abundant groups changed or were only detected in one or two of the classification schemes, such as for Mortierella, Fusarium, and Phoma. No marked difference in fungal beta-diversity was identified among the three methods. Differentiation between the three biofuel crops and between the drought and normal rainfall years was apparent, regardless of method. Though classification rates, taxonomic conflicts, and coverage differences within the high-abundance fungal groups varied according to classification scheme, there was no overall impact on beta diversity among the three methods.
Environmental identification of arbuscular mycorrhizal fungi using the LSU rDNA gene region: an expanded database and improved pipeline
Arbuscular mycorrhizal fungi (AMF; Glomeromycota) are difficult to culture; therefore, establishing a robust amplicon-based approach to taxa identification is imperative to describe AMF diversity. Further, due to low and biased sampling of AMF taxa, molecular databases do not represent the breadth of AMF diversity, making database matching approaches suboptimal. Therefore, a full description of AMF diversity requires a tool to determine sequence-based placement in the Glomeromycota clade. Nonetheless, commonly used gene regions, including the SSU and ITS, do not enable reliable phylogenetic placement. Here, we present an improved database and pipeline for the phylogenetic determination of AMF using amplicons from the large subunit (LSU) rRNA gene. We improve our database and backbone tree by including additional outgroup sequences. We also improve an existing bioinformatics pipeline by aligning forward and reverse reads separately, using a universal alignment for all tree building, and implementing a BLAST screening prior to tree building to remove non-homologous sequences. Finally, we present a script to extract AMF belonging to 11 major families as well as an amplicon sequencing variant (ASV) version of our pipeline. We test the utility of the pipeline by testing the placement of known AMF, known non-AMF, and Acaulospora sp. spore sequences. This work represents the most comprehensive database and pipeline for phylogenetic placement of AMF LSU amplicon sequences within the Glomeromycota clade.

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Most assistantships would be found on the LSU Handshake website (https://www.lsu.edu/careercenter/students/handshake.php) , though some opportunities are handled directly through the hiring department. It wouldn't hurt to check with a staff member in your graduate program to see if they are aware of assistantships not listed on Handshake. ________________________________________________________________________ More information on Handshake.... How to Access Handshake Admitted Students Undergraduate and Graduate students receive access to Handshake on June 15. At that time, you can log in to Handshake using your myLSU email and password at lsu.joinhandshake.com (https://lsu.joinhandshake.com/) or download the Handshake Jobs & Careers App (download in the Apple App Store (https://apps.apple.com/app/apple-store/id1220620171) or download through Google Play (https://play.google.com/store/apps/details?id=com.joinhandshake.student…) ). If a user experiences a barrier in access to Handshake or content within due to a disability, please contact the LSU Olinde Career Center at career@lsu.edu (mailto:career@lsu.edu) . For information on how to apply to on-campus and off-campus jobs, visit the Student Employment webpage (https://www.lsu.edu/careercenter/studentemployment/students.php) . If you would like to schedule a meeting with our team, or access other career center resources prior to receiving Handshake access, please contact us at career@lsu.edu (mailto:career@lsu.edu) and we are happy to assist you. Graduate Students: Please note, while some graduate assistantships may be posted in Handshake, most opportunities are managed directly through the hiring department. Please contact your graduate program and campus contacts directly to inquire about available assistantships. Alumni Alumni retain free access to Handshake and to most other career center resources, including appointments with the career center team. View the Alumni Resources page to request Handshake access (https://www.lsu.edu/careercenter/students/alumni.php) . Rsum Uploads Please make note that all rsums must be approved by the LSU Olinde Career Center before becoming active in Handshake for applying for jobs or participating in on-campus interviews. Please be prompt in submitting a rsum for activation in Handshake. The career center makes every effort to be timely in the document approval process, but cannot guarantee a turnaround of less than two (2) business days. Fraudulent and Scam Job Postings We work hard to keep fraudulent postings out of Handshake (https://www.lsu.edu/careercenter/students/handshake.php) by using some common red flags typically considered suspicious. While red flags dont automatically remove a job posting, we research the company and posting if suspicion arises before making a decision. You should research suspicious companies or postings, too (or dont apply). The Fraudulent and Scam Job Postings (https://www.lsu.edu/careercenter/about/FraudulentandScamJobPostingsbook…) guide outlines red flags so you, too, can attempt to identify such scam or fraudulent postings. Our position: Never apply for a suspicious job. Questions? Contact career@lsu.edu (mailto:career@lsu.edu) . Answered by: Gabriella Lindsay

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