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1. Evolutionary and Experimental Loss of Gene Body Methylation and Its Consequence to Gene Expression

   https://doi.org/10.1534/g3.119.400365  

   Bewick, Adam J.; Zhang, Yinwen; Wendte, Jered M.; Zhang, Xiaoyu; Schmitz, Robert J. (August 2019, G3: Genes|Genomes|Genetics)
2. scPNMF: sparse gene encoding of single cells to facilitate gene selection for targeted gene profiling

   https://doi.org/10.1093/bioinformatics/btab273  

   Song, Dongyuan; Li, Kexin; Hemminger, Zachary; Wollman, Roy; Li, Jingyi Jessica (July 2021, Bioinformatics)

   ABSTRACT: Motivation Single-cell RNA sequencing (scRNA-seq) captures whole transcriptome information of individual cells. While scRNA-seq measures thousands of genes, researchers are often interested in only dozens to hundreds of genes for a closer study. Then, a question is how to select those informative genes from scRNA-seq data. Moreover, single-cell targeted gene profiling technologies are gaining popularity for their low costs, high sensitivity and extra (e.g. spatial) information; however, they typically can only measure up to a few hundred genes. Then another challenging question is how to select genes for targeted gene profiling based on existing scRNA-seq data. Results Here, we develop the single-cell Projective Non-negative Matrix Factorization (scPNMF) method to select informative genes from scRNA-seq data in an unsupervised way. Compared with existing gene selection methods, scPNMF has two advantages. First, its selected informative genes can better distinguish cell types. Second, it enables the alignment of new targeted gene profiling data with reference data in a low-dimensional space to facilitate the prediction of cell types in the new data. Technically, scPNMF modifies the PNMF algorithm for gene selection by changing the initialization and adding a basis selection step, which selects informative bases to distinguish cell types. We demonstrate that scPNMF outperforms the state-of-the-art gene selection methods on diverse scRNA-seq datasets. Moreover, we show that scPNMF can guide the design of targeted gene profiling experiments and the cell-type annotation on targeted gene profiling data. Availability and implementation The R package is open-access and available at https://github.com/JSB-UCLA/scPNMF. The data used in this work are available at Zenodo: https://doi.org/10.5281/zenodo.4797997. Supplementary information Supplementary data are available at Bioinformatics online. 

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3. Spray‐induced gene silencing to identify powdery mildew gene targets and processes for powdery mildew control

   https://doi.org/10.1111/mpp.13361  

   McRae, Amanda G; Taneja, Jyoti; Yee, Kathleen; Shi, Xinyi; Haridas, Sajeet; LaButti, Kurt; Singan, Vasanth; Grigoriev, Igor V; Wildermuth, Mary C (September 2023, Molecular Plant Pathology)

   Abstract Spray‐induced gene silencing (SIGS) is an emerging tool for crop pest protection. It utilizes exogenously applied double‐stranded RNA to specifically reduce pest target gene expression using endogenous RNA interference machinery. In this study, SIGS methods were developed and optimized for powdery mildew fungi, which are widespread obligate biotrophic fungi that infect agricultural crops, using the known azole‐fungicide targetcytochrome P45051 (CYP51) in theGolovinomyces orontii–Arabidopsis thalianapathosystem. Additional screening resulted in the identification of conserved gene targets and processes important to powdery mildew proliferation:apoptosis‐antagonizing transcription factorin essential cellular metabolism and stress response; lipid catabolism geneslipase a,lipase 1, andacetyl‐CoA oxidasein energy production;and genes involved in manipulation of the plant host via abscisic acid metabolism (9‐cis‐epoxycarotenoid dioxygenase,xanthoxin dehydrogenase, and a putativeabscisic acid G‐protein coupled receptor) and secretion of the effector protein,effector candidate 2. Powdery mildew is the dominant disease impacting grapes and extensive powdery mildew resistance to applied fungicides has been reported. We therefore developed SIGS for theErysiphe necator–Vitis viniferasystem and tested six successful targets identified using theG. orontii–A. thalianasystem. For all targets tested, a similar reduction in powdery mildew disease was observed between systems. This indicates screening of broadly conserved targets in theG. orontii–A. thalianapathosystem identifies targets and processes for the successful control of other powdery mildew fungi. The efficacy of SIGS on powdery mildew fungi makes SIGS an exciting prospect for commercial powdery mildew control. 

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4. Coupling of Barriers to Gene Exchange: Causes and Consequences

   https://doi.org/10.1101/cshperspect.a041432  

   Dopman, Erik B.; Shaw, Kerry L.; Servedio, Maria R.; Butlin, Roger K.; Smadja, Carole M. (January 2024, Cold Spring Harbor Perspectives in Biology)
5. Insight into the bZIP Gene Family in Solanum tuberosum: Genome and Transcriptome Analysis to Understand the Roles of Gene Diversification in Spatiotemporal Gene Expression and Function

   https://doi.org/10.3390/ijms22010253  

   Herath, Venura; Verchot, Jeanmarie (January 2021, International Journal of Molecular Sciences)

   null (Ed.)

   The basic region-leucine zipper (bZIP) transcription factors (TFs) form homodimers and heterodimers via the coil–coil region. The bZIP dimerization network influences gene expression across plant development and in response to a range of environmental stresses. The recent release of the most comprehensive potato reference genome was used to identify 80 StbZIP genes and to characterize their gene structure, phylogenetic relationships, and gene expression profiles. The StbZIP genes have undergone 22 segmental and one tandem duplication events. Ka/Ks analysis suggested that most duplications experienced purifying selection. Amino acid sequence alignments and phylogenetic comparisons made with the Arabidopsis bZIP family were used to assign the StbZIP genes to functional groups based on the Arabidopsis orthologs. The patterns of introns and exons were conserved within the assigned functional groups which are supportive of the phylogeny and evidence of a common progenitor. Inspection of the leucine repeat heptads within the bZIP domains identified a pattern of attractive pairs favoring homodimerization, and repulsive pairs favoring heterodimerization. These patterns of attractive and repulsive heptads were similar within each functional group for Arabidopsis and S. tuberosum orthologs. High-throughput RNA-seq data indicated the most highly expressed and repressed genes that might play significant roles in tissue growth and development, abiotic stress response, and response to pathogens including Potato virus X. These data provide useful information for further functional analysis of the StbZIP gene family and their potential applications in crop improvement. 

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