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Full-Text Articles in Life Sciences

Promises And Challenges Of Eco-Physiological Genomics In The Field: Tests Of Drought Responses In Switchgrass. Plant Physiology, John T. Lovell, Eugene V. Shakirov, Scott Schwartz, David B. Lowry, Michael J. Aspinwall, Samuel H. Taylor, Jason Bonnette, Juan Diego Palacio-Mejia, Christine V. Hawkes, Philip A. Fay, Thomas E. Juenger Oct 2019

Promises And Challenges Of Eco-Physiological Genomics In The Field: Tests Of Drought Responses In Switchgrass. Plant Physiology, John T. Lovell, Eugene V. Shakirov, Scott Schwartz, David B. Lowry, Michael J. Aspinwall, Samuel H. Taylor, Jason Bonnette, Juan Diego Palacio-Mejia, Christine V. Hawkes, Philip A. Fay, Thomas E. Juenger

Yevgeniy (Eugene) Shakirov

Identifying the physiological and genetic basis of stress tolerance in plants has proven to be critical to understanding adaptation in both agricultural and natural systems. However, many discoveries were initially made in the controlled conditions of greenhouses or laboratories, not in the field. To test the comparability of drought responses across field and greenhouse environments, we undertook three independent experiments using the switchgrass reference genotype Alamo AP13. We analyzed physiological and gene expression variation across four locations, two sampling times, and three years. Relatively similar physiological responses and expression coefficients of variation across experiments masked highly dissimilar gene expression responses …


The Genomic Landscape Of Molecular Responses To Natural Drought Stress In Panicum Hallii., John T. Lovell, Jerry Jenkins, David B. Lowry, Sujan Mamidi, Avinash Sreedasyam, Xiaoyu Weng, Kerrie Barry, Jason Bonnette, Brandon Campitelli, Chris Daum, Sean P. Gordon, Billie A. Gould, Albina Khasanova, Anna Lipzen, Alice Macqueen, Juan Diego Palacio-Mejía, Christopher Plott, Eugene V. Shakirov, Shengqiang Shu, Yuko Yoshinaga, Matt Zane, Dave Kudrna, Jason D. Talag, Daniel Rokhsar, Jane Grimwood, Jeremy Schmutz, Thomas E. Juenger Oct 2019

The Genomic Landscape Of Molecular Responses To Natural Drought Stress In Panicum Hallii., John T. Lovell, Jerry Jenkins, David B. Lowry, Sujan Mamidi, Avinash Sreedasyam, Xiaoyu Weng, Kerrie Barry, Jason Bonnette, Brandon Campitelli, Chris Daum, Sean P. Gordon, Billie A. Gould, Albina Khasanova, Anna Lipzen, Alice Macqueen, Juan Diego Palacio-Mejía, Christopher Plott, Eugene V. Shakirov, Shengqiang Shu, Yuko Yoshinaga, Matt Zane, Dave Kudrna, Jason D. Talag, Daniel Rokhsar, Jane Grimwood, Jeremy Schmutz, Thomas E. Juenger

Yevgeniy (Eugene) Shakirov

Environmental stress is a major driver of ecological community dynamics and agricultural productivity. This is especially true for soil water availability, because drought is the greatest abiotic inhibitor of worldwide crop yields. Here, we test the genetic basis of drought responses in the genetic model for C4 perennial grasses, Panicum hallii, through population genomics, field-scale gene-expression (eQTL) analysis, and comparison of two complete genomes. While gene expression networks are dominated by local cis-regulatory elements, we observe three genomic hotspots of unlinked trans-regulatory loci. These regulatory hubs are four times more drought responsive than the genome-wide average. Additionally, cis- and trans-regulatory …


Integrating Human Omics Data To Prioritize Candidate Genes., Yong Chen, Xuebing Wu, Rui Jiang Sep 2019

Integrating Human Omics Data To Prioritize Candidate Genes., Yong Chen, Xuebing Wu, Rui Jiang

Yong Chen

BACKGROUND: The identification of genes involved in human complex diseases remains a great challenge in computational systems biology. Although methods have been developed to use disease phenotypic similarities with a protein-protein interaction network for the prioritization of candidate genes, other valuable omics data sources have been largely overlooked in these methods.

METHODS: With this understanding, we proposed a method called BRIDGE to prioritize candidate genes by integrating disease phenotypic similarities with such omics data as protein-protein interactions, gene sequence similarities, gene expression patterns, gene ontology annotations, and gene pathway memberships. BRIDGE utilizes a multiple regression model with lasso penalty to …


Genome-Wide Discovery Of Missing Genes In Biological Pathways Of Prokaryotes., Yong Chen, Fenglou Mao, Guojun Li, Ying Xu Sep 2019

Genome-Wide Discovery Of Missing Genes In Biological Pathways Of Prokaryotes., Yong Chen, Fenglou Mao, Guojun Li, Ying Xu

Yong Chen

BACKGROUND: Reconstruction of biological pathways is typically done through mapping well-characterized pathways of model organisms to a target genome, through orthologous gene mapping. A limitation of such pathway-mapping approaches is that the mapped pathway models are constrained by the composition of the template pathways, e.g., some genes in a target pathway may not have corresponding genes in the template pathways, the so-called "missing gene" problem.

METHODS: We present a novel pathway-expansion method for identifying additional genes that are possibly involved in a target pathway after pathway mapping, to fill holes caused by missing genes as well as to expand the …


Tracing Evolutionary Footprints To Identify Novel Gene Functional Linkages., Yong Chen, Li Yang, Yunfeng Ding, Shuyan Zhang, Tong He, Fenglou Mao, Congyan Zhang, Huina Zhang, Chaoxing Huo, Pingsheng Liu Sep 2019

Tracing Evolutionary Footprints To Identify Novel Gene Functional Linkages., Yong Chen, Li Yang, Yunfeng Ding, Shuyan Zhang, Tong He, Fenglou Mao, Congyan Zhang, Huina Zhang, Chaoxing Huo, Pingsheng Liu

Yong Chen

Systematic determination of gene function is an essential step in fully understanding the precise contribution of each gene for the proper execution of molecular functions in the cell. Gene functional linkage is defined as to describe the relationship of a group of genes with similar functions. With thousands of genomes sequenced, there arises a great opportunity to utilize gene evolutionary information to identify gene functional linkages. To this end, we established a computational method (called TRACE) to trace gene footprints through a gene functional network constructed from 341 prokaryotic genomes. TRACE performance was validated and successfully tested to predict enzyme …


Integrated Omics Study Delineates The Dynamics Of Lipid Droplets In Rhodococcus Opacus Pd630., Yong Chen, Yunfeng Ding, Li Yang, Jinhai Yu, Guiming Liu, Xumin Wang, Shuyan Zhang, Dan Yu, Lai Song, Hangxiao Zhang, Congyan Zhang, Linhe Huo, Chaoxing Huo, Yang Wang, Yalan Du, Huina Zhang, Peng Zhang, Huimin Na, Shimeng Xu, Yaxin Zhu, Zhensheng Xie, Tong He, Yue Zhang, Guoliang Wang, Zhonghua Fan, Fuquan Yang, Honglei Liu, Xiaowo Wang, Xuegong Zhang, Michael Q Zhang, Yanda Li, Alexander Steinbüchel, Toyoshi Fujimoto, Simon Cichello, Jun Yu, Pingsheng Liu Sep 2019

Integrated Omics Study Delineates The Dynamics Of Lipid Droplets In Rhodococcus Opacus Pd630., Yong Chen, Yunfeng Ding, Li Yang, Jinhai Yu, Guiming Liu, Xumin Wang, Shuyan Zhang, Dan Yu, Lai Song, Hangxiao Zhang, Congyan Zhang, Linhe Huo, Chaoxing Huo, Yang Wang, Yalan Du, Huina Zhang, Peng Zhang, Huimin Na, Shimeng Xu, Yaxin Zhu, Zhensheng Xie, Tong He, Yue Zhang, Guoliang Wang, Zhonghua Fan, Fuquan Yang, Honglei Liu, Xiaowo Wang, Xuegong Zhang, Michael Q Zhang, Yanda Li, Alexander Steinbüchel, Toyoshi Fujimoto, Simon Cichello, Jun Yu, Pingsheng Liu

Yong Chen

Rhodococcus opacus strain PD630 (R. opacus PD630), is an oleaginous bacterium, and also is one of few prokaryotic organisms that contain lipid droplets (LDs). LD is an important organelle for lipid storage but also intercellular communication regarding energy metabolism, and yet is a poorly understood cellular organelle. To understand the dynamics of LD using a simple model organism, we conducted a series of comprehensive omics studies of R. opacus PD630 including complete genome, transcriptome and proteome analysis. The genome of R. opacus PD630 encodes 8947 genes that are significantly enriched in the lipid transport, synthesis and metabolic, indicating a super …


The Efficacy Of Whole Human Genome Capture On Ancient Dental Calculus And Dentin, Kirsten A. Ziesemer, Jazmin Ramos-Madrigal, Allison E. Mann, Bernd W. Brandt, Krithivasan Sankaranarayanan, Andrew T. Ozga, Menno Hoogland, Courtney A. Hofman, Domingo C. Salazar-Garcia, Bruno Frohlich, George R. Miller, Anne C. Stone, Mark Aldenderfer, Cecil M. Lewis Jr., Corinne L. Hofman, Christina Warinner, Hannes Schroeder Aug 2019

The Efficacy Of Whole Human Genome Capture On Ancient Dental Calculus And Dentin, Kirsten A. Ziesemer, Jazmin Ramos-Madrigal, Allison E. Mann, Bernd W. Brandt, Krithivasan Sankaranarayanan, Andrew T. Ozga, Menno Hoogland, Courtney A. Hofman, Domingo C. Salazar-Garcia, Bruno Frohlich, George R. Miller, Anne C. Stone, Mark Aldenderfer, Cecil M. Lewis Jr., Corinne L. Hofman, Christina Warinner, Hannes Schroeder

Andrew Ozga

Objectives

Dental calculus is among the richest known sources of ancient DNA in the archaeological record. Although most DNA within calculus is microbial, it has been shown to contain sufficient human DNA for the targeted retrieval of whole mitochondrial genomes. Here, we explore whether calculus is also a viable substrate for whole human genome recovery using targeted enrichment techniques.

Materials and methods

Total DNA extracted from 24 paired archaeological human dentin and calculus samples was subjected to whole human genome enrichment using in‐solution hybridization capture and high‐throughput sequencing.

Results

Total DNA from calculus exceeded that of dentin in all cases, …


Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke Dec 2018

Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke

Ray Enke Ph.D.

This in class activity introduces basic bioinformatics analysis using the Saccharomyces Genome Database (SGD) and the UniProt Database. The yeast URA3 gene is studied in this activity, however, any other yeast gene can be substituted. This activity is designed for novice instructors and students for implementation into core biology lecture or lab courses.