The blackgrass genome reveals patterns of non‐parallel evolution of polygenic herbicide resistance
暂无分享,去创建一个
L. Cai | R. Beffa | C. Saski | D. MacGregor | P. Neve | David Comont | C. Lowe
[1] R. Freckleton,et al. Dissecting weed adaptation: Fitness and trait correlations in herbicide‐resistant Alopecurus myosuroides , 2022, Pest management science.
[2] D. Haak,et al. Into the weeds: new insights in plant stress. , 2021, Trends in plant science.
[3] P. Tranel,et al. Genetic architecture underlying HPPD-inhibitor resistance in a Nebraska Amaranthus tuberculatus population , 2021, bioRxiv.
[4] D. Weigel,et al. The genetic architecture and population genomic signatures of glyphosate resistance in Amaranthus tuberculatus , 2021, Molecular ecology.
[5] S. Powles,et al. An ABCC-type transporter endowing glyphosate resistance in plants , 2021, Proceedings of the National Academy of Sciences.
[6] J. Leebens-Mack,et al. Inter-chromosomal linkage disequilibrium and linked fitness cost loci associated with selection for herbicide resistance , 2021, bioRxiv.
[7] R. Edwards,et al. Non-target Site Herbicide Resistance Is Conferred by Two Distinct Mechanisms in Black-Grass (Alopecurus myosuroides) , 2021, Frontiers in Plant Science.
[8] J. Torra,et al. Target-Site and Non-target-Site Resistance Mechanisms Confer Multiple and Cross- Resistance to ALS and ACCase Inhibiting Herbicides in Lolium rigidum From Spain , 2021, Frontiers in Plant Science.
[9] K. Walker,et al. Characterizing the environmental drivers of the abundance and distribution of Alopecurus myosuroides at a national scale. , 2021, Pest management science.
[10] C. Mallory-Smith,et al. Non-target-Site Resistance in Lolium spp. Globally: A Review , 2021, Frontiers in Plant Science.
[11] Bing-kai Hou,et al. A novel UDP-glycosyltransferase 91C1 confers specific herbicide resistance through detoxification reaction in Arabidopsis. , 2020, Plant physiology and biochemistry : PPB.
[12] Jingjing Wang,et al. Pro-197-Ser Mutation in ALS and High-Level GST Activities: Multiple Resistance to ALS and ACCase Inhibitors in Beckmannia syzigachne , 2020, Frontiers in Plant Science.
[13] Eric L. Patterson,et al. Coexpression Clusters and Allele-Specific Expression in Metabolism-Based Herbicide Resistance , 2020, Genome biology and evolution.
[14] Evolutionary Origins , 2020, The Anatomy of Grief.
[15] X. Zhou,et al. Managing Herbicide Resistance in China , 2020, Weed Science.
[16] S. Iwakami,et al. Cytochrome P450-mediated herbicide metabolism in plants: Current understanding and prospects. , 2020, Pest management science.
[17] C. Violle,et al. Weeds: Against the Rules? , 2020, Trends in plant science.
[18] R. Freckleton,et al. Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management , 2020, Nature Communications.
[19] P. Tranel,et al. Mechanisms of evolved herbicide resistance , 2020, The Journal of Biological Chemistry.
[20] S. Moss,et al. Detection and characterisation of resistance to acetolactate synthase inhibiting herbicides in Anisantha and Bromus species in the United Kingdom. , 2020, Pest management science.
[21] N. Saitou,et al. Population Genomics , 2019, Population Genomics.
[22] Shaun R. Coutts,et al. The costs of human-induced evolution in an agricultural system , 2019, Nature Sustainability.
[23] Stephen P. Ficklin,et al. GPU Implementation of Pairwise Gaussian Mixture Models for Multi-Modal Gene Co-Expression Networks , 2019, IEEE Access.
[24] R. Varshney,et al. Whole‐genome resequencing‐based QTL‐seq identified candidate genes and molecular markers for fresh seed dormancy in groundnut , 2019, Plant biotechnology journal.
[25] Steven L Salzberg,et al. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype , 2019, Nature Biotechnology.
[26] Tingting Liu,et al. Target-site and metabolic resistance mechanisms to penoxsulam in barnyardgrass (Echinochloa crus-galli (L.) P. Beauv). , 2019, Journal of agricultural and food chemistry.
[27] Regina S Baucom,et al. Evolutionary and ecological insights from herbicide-resistant weeds: what have we learned about plant adaptation, and what is left to uncover? , 2019, The New phytologist.
[28] Thomas Peterson,et al. Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline , 2019, Genome Biology.
[29] R. Baucom,et al. Parallel and nonparallel genomic responses contribute to herbicide resistance in Ipomoea purpurea, a common agricultural weed , 2019, bioRxiv.
[30] Diana J. Rennison,et al. (Non)Parallel Evolution , 2018, Annual Review of Ecology, Evolution, and Systematics.
[31] J. Edwards,et al. Inheritance of 4-hydroxyphenylpyruvate dioxygenase inhibitor herbicide resistance in an Amaranthus tuberculatus population from Iowa, USA. , 2018, Plant science : an international journal of experimental plant biology.
[32] Shujun Ou,et al. Assessing genome assembly quality using the LTR Assembly Index (LAI) , 2018, Nucleic acids research.
[33] N. Hawkins,et al. The evolutionary origins of pesticide resistance , 2018, Biological reviews of the Cambridge Philosophical Society.
[34] J. S. McElroy,et al. The power and potential of genomics in weed biology and management. , 2018, Pest management science.
[35] Z. Brown,et al. Wicked evolution: Can we address the sociobiological dilemma of pesticide resistance? , 2018, Science.
[36] J. Stinchcombe,et al. Population Genomics of Herbicide Resistance: Adaptation via Evolutionary Rescue. , 2018, Annual review of plant biology.
[37] Robert Edwards,et al. Changes in the proteome of the problem weed blackgrass correlating with multiple‐herbicide resistance , 2018, The Plant journal : for cell and molecular biology.
[38] Qian Yang,et al. Metabolic Resistance to Acetolactate Synthase Inhibiting Herbicide Tribenuron-Methyl in Descurainia sophia L. Mediated by Cytochrome P450 Enzymes. , 2018, Journal of agricultural and food chemistry.
[39] Feng Luo,et al. MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads , 2017, Nature Methods.
[40] Shengfeng Huang,et al. HaploMerger2: rebuilding both haploid sub-assemblies from high-heterozygosity diploid genome assembly , 2017, Bioinform..
[41] Neva C. Durand,et al. De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds , 2016, Science.
[42] René L. Warren,et al. RAILS and Cobbler: Scaffolding and automated finishing of draft genomes using long DNA sequences , 2016, J. Open Source Softw..
[43] James T. Robinson,et al. Juicebox Provides a Visualization System for Hi-C Contact Maps with Unlimited Zoom. , 2016, Cell systems.
[44] Neva C. Durand,et al. Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments. , 2016, Cell systems.
[45] M. Kanehisa,et al. BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. , 2016, Journal of molecular biology.
[46] R. Baucom. The remarkable repeated evolution of herbicide resistance. , 2016, American-Eurasian journal of botany.
[47] Ying Jin,et al. TEtranscripts: a package for including transposable elements in differential expression analysis of RNA-seq datasets , 2015, Bioinform..
[48] Evgeny M. Zdobnov,et al. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs , 2015, Bioinform..
[49] S. Kelly,et al. OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy , 2015, Genome Biology.
[50] Christina A. Cuomo,et al. Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement , 2014, PloS one.
[51] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[52] I. Heap,et al. Global perspective of herbicide-resistant weeds. , 2014, Pest management science.
[53] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[54] Alexandros Stamatakis,et al. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies , 2014, Bioinform..
[55] J. Petersen,et al. Development of target-site resistance (TSR) in Alopecurus myosuroides in Germany between 2004 and 2012 , 2013 .
[56] Colin N. Dewey,et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis , 2013, Nature Protocols.
[57] Wei Shi,et al. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..
[58] V. Orgogozo,et al. THE LOCI OF REPEATED EVOLUTION: A CATALOG OF GENETIC HOTSPOTS OF PHENOTYPIC VARIATION , 2013, Evolution; international journal of organic evolution.
[59] R. Terauchi,et al. QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. , 2013, The Plant journal : for cell and molecular biology.
[60] R. Edwards,et al. Key role for a glutathione transferase in multiple-herbicide resistance in grass weeds , 2013, Proceedings of the National Academy of Sciences.
[61] Davis J. McCarthy,et al. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor , 2013, Nature Protocols.
[62] C. Délye. Unravelling the genetic bases of non-target-site-based resistance (NTSR) to herbicides: a major challenge for weed science in the forthcoming decade. , 2013, Pest management science.
[63] S. Horvath,et al. Comparison of co-expression measures: mutual information, correlation, and model based indices , 2012, BMC Bioinformatics.
[64] K. Olsen,et al. The red queen in the corn: agricultural weeds as models of rapid adaptive evolution , 2012, Heredity.
[65] Eugene V. Koonin,et al. Replaying the Tape of Life: Quantification of the Predictability of Evolution , 2012, Front. Gene..
[66] Jeremy D. DeBarry,et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity , 2012, Nucleic acids research.
[67] J. Losos,et al. CONVERGENCE, ADAPTATION, AND CONSTRAINT , 2011, Evolution; international journal of organic evolution.
[68] M. Frith,et al. Adaptive seeds tame genomic sequence comparison. , 2011, Genome research.
[69] Carl T. Bergstrom,et al. Evolutionary principles and their practical application , 2011, Evolutionary applications.
[70] H. Johnsson. MEIOTIC ABERRATIONS AND STERILITY IN ALOPECURUS MYOSUROIDES HUDS , 2010 .
[71] S. Powles,et al. Evolution in action: plants resistant to herbicides. , 2010, Annual review of plant biology.
[72] Jun Yu,et al. KaKs_Calculator 2.0: A Toolkit Incorporating Gamma-Series Methods and Sliding Window Strategies , 2010, Genom. Proteom. Bioinform..
[73] Paul Neve,et al. Evolutionary-thinking in agricultural weed management. , 2009, The New phytologist.
[74] Davis J. McCarthy,et al. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..
[75] Sean R. Eddy,et al. Infernal 1.0: inference of RNA alignments , 2009, Bioinform..
[76] Jonathan E. Allen,et al. Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments , 2007, Genome Biology.
[77] Ziheng Yang. PAML 4: phylogenetic analysis by maximum likelihood. , 2007, Molecular biology and evolution.
[78] V. Le Corre,et al. Genetic variation and population structure in black‐grass (Alopecurus myosuroides Huds.), a successful, herbicide‐resistant, annual grass weed of winter cereal fields , 2007, Molecular ecology.
[79] Burkhard Morgenstern,et al. AUGUSTUS: ab initio prediction of alternative transcripts , 2006, Nucleic Acids Res..
[80] Alejandro A. Schäffer,et al. WindowMasker: window-based masker for sequenced genomes , 2006, Bioinform..
[81] M. Borodovsky,et al. Gene identification in novel eukaryotic genomes by self-training algorithm , 2005, Nucleic acids research.
[82] H. A. Orr,et al. The genetic theory of adaptation: a brief history , 2005, Nature Reviews Genetics.
[83] H. A. Orr,et al. THE PROBABILITY OF PARALLEL EVOLUTION , 2005, Evolution; international journal of organic evolution.
[84] S. Moss,et al. Symposium The Broadbalk long-term experiment at Rothamsted: what has it told us about weeds? , 2004, Weed Science.
[85] Jianxin Ma,et al. Rapid recent growth and divergence of rice nuclear genomes. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[86] A. Paterson,et al. Ancient polyploidization predating divergence of the cereals, and its consequences for comparative genomics. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[87] Ian Korf,et al. Gene finding in novel genomes , 2004, BMC Bioinformatics.
[88] Robert C. Edgar,et al. MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.
[89] P. Shannon,et al. Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks , 2003 .
[90] S. Palumbi,et al. Humans as the world's greatest evolutionary force. , 2001, Science.
[91] M. Lynch,et al. The evolutionary fate and consequences of duplicate genes. , 2000, Science.
[92] N. Fedoroff,et al. Transposons and genome evolution in plants. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[93] S. Eddy,et al. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. , 1997, Nucleic acids research.
[94] J. Keilwagen,et al. GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq Data. , 2019, Methods in molecular biology.
[95] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[96] Ziheng Yang,et al. Bayesian estimation of species divergence times under a molecular clock using multiple fossil calibrations with soft bounds. , 2006, Molecular biology and evolution.