7 NSF supported REU (Research Experience for Undergraduates) students;
3 UCARE (Undergraduate Creative Activities and Research Experience) students;
and 24 undergraduate students supported by regular research funding.
and 36 undergraduate students supported by regular research funding.
\item\textbf{High School Researchers:}
2 students supported through the Young Nebraska Scientist program;
1 supported by regular research funding.
...
...
@@ -288,9 +288,13 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
\addtolength{\leftskip}{9mm}
\subsection*{Preprints}
\noindent\textbf{Tross MC}, Gaillard M, \textbf{Zweiner M}, \textbf{Miao C}, Li B, Benes B, \textbf{Schnable JC}$^\S$ 3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2021.06.15.448566}{10.1101/2021.06.15.448566}\\
\noindentXu G, Lyu J, Obata T, Liu S, Ge Y, \textbf{Schnable JC}, Yang J$^\S$ A historically balanced locus under recent directional selection in responding to changed nitrogen conditions during modern maize breeding. \textsc{bioRxiv} doi: \href{10.1101/2022.02.09.479784}{https://doi.org/10.1101/2022.02.09.479784}
\noindent Rodene E, Xu G, Delen SP, \textbf{Smith C}, Ge Y, \textbf{Schnable JC}, Yang J$^\S$ A UAV-based high-throughput phenotyping approach to assess time-series nitrogen responses and identify traits associated genetic components in maize. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2021.05.24.445447}{10.1101/2021.05.24.445447}\\
\noindent\textbf{Sun G}, Yu H, Wang P, Lopez-Guerrero MG, \textbf{Mural RV}, \textbf{Mizero ON}, \textbf{Grzybowski M}, Song B, van Dijk K, Schachtman DP, Zhang C, \textbf{Schnable JC}$^\S$ A role for heritable transcriptomic variation in maize adaptation to temperate environments. \textsc{bioRxiv} doi: \href{10.1101/2022.01.28.478212}{https://doi.org/10.1101/2022.01.28.478212}
\noindent Meier MA, Xu G, Lopez-Guerrero MG, Li G, \textbf{Smith C}, \textbf{Sigmon B}, Herr JR, Alfano J, Ge Y, \textbf{Schnable JC}, Yang J$^\S$ Maize root-associated microbes likely under adaptive selection by the host to enhance phenotypic performance. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2021.11.01.466815}{10.1101/2021.11.01.466815}\\
\noindent\textbf{Miao C}, \textbf{Hoban TP}$^\ddagger$, \textbf{Pages A}$^\ddagger$, Xu Z, Rodene E, Ubbens J, Stavness I, Yang J, \textbf{Schnable JC}$^\S$ Simulated plant images improve maize leaf counting accuracy. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/706994}{10.1101/706994}\\
...
...
@@ -300,16 +304,28 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
%\noindent Wang M, Shilo S, Levy AA, Zelkowski M, Olson MA, Jiang J, \textbf{Schnable JC}, Sun Q, Pillardy J, Kianian PMA, Kianian SF, Chen C, Pawlowski WP$^\S$ Elucidating features and evolution of recombination sites in plants using machine learning. \textit{(In Review)} \\
\noindent Kusmec A, Yeh CT, AlKhalifa N ... \textbf{Schnable JC} (26th of 38 authors) ... Willis DM, Wisser RJ, Schnable PS$^\S$ Data-driven identification of environmental variables influencing phenotypic plasticity to facilitate breeding for future climates: a case study involving grain yield of hybrid maize. \textit{(In Review)}\\
%\noindent \textbf{Sun G}$^*$, Yu H$^*$, Wang P, Lopez-Guerrero MG, \textbf{Mural RV}, \textbf{Mizero ON}, \textbf{Grzybowski M}, Song B, van Dijk K, Schachtman DP, Zhang C, \textbf{Schnable JC}$^\S$ A role for heritable transcriptomic variation in maize adaptation to temperate environments. \textit{(In Review)}\\
%\noindent \textbf{Korth N}, Parsons L, Van Haute M, Yang Q, Hurst JP, \textbf{Schnable JC}, Holding DR, Benson AK$^\S$ Identification of substrates from quality protein popcorn that promote growth of specific beneficial bacteria in the human gut microbiome. \textit{(In Review)}\\
%\noindent Yang Q, Van Haute M, \textbf{Korth N}, Sattler S, Toy J, \textbf{Schnable KC}, Benson AK$^\S$ Complex Trait Analysis of Human Gut Microbiome-Active Traits (MATs) in Sorghum bicolor: a new approach for genetic analysis of human health traits in food crops. \textit{(In Review)}\\
\noindent\textbf{Sun G}, Wase N, Shu S, Jenkins J, Zhou B, Chen C, Sandor L, Plott C, Yoshinga Y, Daum C, Qi P, Barry K, Lipzen A, Berry L, Gottilla T, \textbf{Foltz A}, Yu H, O'Malley R, Zhang C, Devos KM, \textbf{Sigmon B}, Yu B, Obata T, Schmutz J$^\S$, \textbf{Schnable JC}$^\S$ Genome sequence of \textit{Paspalum vaginatum} indicates trehalose may act as a conserved trigger for increased nitrogen use efficiency in grasses. \textit{In Review}\\
%\noindent Gen X, Lyu J, Obata T, Liu T, Ge Y, \textbf{Schnable JC}, Yang J$^\S$ A historical balanced locus under recent directional selection in responding to changed nitrogen conditions during modern maize breeding. \textit{(In Review)}\\
\noindent Yu H, Sandhu J, \textbf{Sun G}, Nguyen H, Clemente T, \textbf{Schnable JC}, Walia H, Xie W, Yu B, Mower JP, Zhang C$^\S$ Pervasive misannotation of the smallest microexons that are evolutionarily conserved and crucial for gene function in plants. \textit{In Review}\\
\noindent Kusmec A, Yeh CT, AlKhalifa N ... \textbf{Schnable JC} (26th of 38 authors) ... Willis DM, Wisser RJ, Schnable PS$^\S$ Data-driven identification of environmental variables influencing phenotypic plasticity to facilitate breeding for future climates: a case study involving grain yield of hybrid maize. \textit{(In Review)}\\
\noindent\textbf{Sun G}, Wase N, Shu S, Jenkins J, Zhou B, Chen C, Sandor L, Plott C, Yoshinga Y, Daum C, Qi P, Barry K, Lipzen A, Berry L, Gottilla T, \textbf{Foltz A}, Yu H, O'Malley R, Zhang C, Devos KM, \textbf{Sigmon B}, Yu B, Obata T, Schmutz J$^\S$, \textbf{Schnable JC}$^\S$ Genome sequence of \textit{Paspalum vaginatum} indicates trehalose may act as a conserved trigger for increased nitrogen use efficiency in grasses. \textit{(In Review)}\\
\begin{etaremune}
\subsection*{Faculty Publications}
\item Diao X$^\S$, Zhang H, Tang s, \textbf{Schnable JC}, He Q, Gao Y, Luo M, Jia G, Feng B, Zhi H (2021) Genome-Wide DNA polymorphism analysis and molecular marker development of Setaria italica variety 'SSR41' and application in positional cloning of Setaria white leaf sheath gene SiWLS1. \textsc{Frontiers in Plant Science}\textit{\href{https://www.frontiersin.org/articles/10.3389/fpls.2021.743782/abstract}{(In Press)}}
\item Rodene E, Xu G, Delen SP, \textbf{Smith C}, Ge Y, \textbf{Schnable JC}, Yang J$^\S$ A UAV-based high-throughput phenotyping approach to assess time-series nitrogen responses and identify traits associated genetic components in maize. \textsc{The Plant Phenome Journal} doi: \href{10.1002/ppj2.20030}{https://doi.org/10.1002/ppj2.20030}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2021.05.24.445447}{10.1101/2021.05.24.445447}
\item Yu H, Sandhu J, \textbf{Sun G}, Nguyen H, Clemente T, \textbf{Schnable JC}, Walia H, Xie W, Yu B, Mower JP, Zhang C$^\S$ (2022) Pervasive misannotation of the smallest microexons that are evolutionarily conserved and crucial for gene function in plants. \textsc{Nature Communications} doi: \href{10.1038/s41467-022-28449-8}{https://doi.org/10.1038/s41467-022-28449-8}
\item\textbf{Tross MC}$\ddagger$, Gaillard M, \textbf{Zweiner M}$\ddagger$, \textbf{Miao C}, \textbf{Grove RJ}, Li B, Benes B, \textbf{Schnable JC}$^\S$ (2021) 3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves. \textsc{PeerJ} doi: \href{https://doi.org/10.7717/peerj.12628}{10.7717/peerj.12628}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2021.06.15.448566}{10.1101/2021.06.15.448566}
\item Diao X$^\S$, Zhang H, Tang s, \textbf{Schnable JC}, He Q, Gao Y, Luo M, Jia G, Feng B, Zhi H (2021) Genome-Wide DNA polymorphism analysis and molecular marker development of Setaria italica variety 'SSR41' and application in positional cloning of Setaria white leaf sheath gene SiWLS1. \textsc{Frontiers in Plant Science} doi: \href{https://doi.org/10.3389/fpls.2021.743782}{/10.3389/fpls.2021.743782}
\item\textbf{Miao C}, \textbf{Guo A}$^\ddagger$, Thompson AM, Yang J, Ge Y, \textbf{Schnable JC}$^\S$ (2021) Automation of leaf counting in maize and sorghum using deep learning. \textsc{The Plant Phenome Journal} doi: \href{https://doi.org/10.1002/ppj2.20022}{10.1002/ppj2.20022}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.10.27.355495}{10.1101/2020.12.19.423626}
