De NovoAssembly and Annotation of the Transcriptome of the Agricultural WeedIpomoea purpureaUncovers Gene Expression Changes Associated with Herbicide Resistance

AbstractInbreeding depression is a central parameter underlying mating system variation in nature and one that can be altered by environmental stress. Although a variety of systems show that inbreeding depression tends to increase under stressful conditions, we have very little understanding across most organisms how the level of inbreeding depression may change as a result of adaptation to stressors. In this work we examined the potential that inbreeding depression varied among lineages of Ipomoea purpurea artificially evolved to exhibit divergent levels of herbicide resistance. We examined inbreeding depression in a variety of fitness-related traits in both the growth chamber and in the field. We paired our examination of inbreeding depression in fitness-related traits with an examination of gene expression changes associated with the level of herbicide resistance, breeding history (inbred or outcrossed), and the interaction of the breeding system and the level of herbicide resistance. We found that, while inbreeding depression was present across many of the traits, lineages artificially selected for increased herbicide resistance often showed no evidence of inbreeding depression in the presence of herbicide, and in fact, showed evidence of outbreeding depression in some traits compared to non-selected control lines and lineages selected for increased herbicide susceptibility. Further, at the transcriptome level, the resistant selection lines had differing patterns of gene expression according to breeding type (inbred vs outcrossed) compared to the control and susceptible selection lines. Our data together indicate that inbreeding depression may be lessened in populations that are adapting to regimes of strong selection.

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Adaptive and maladaptive expression plasticity underlying herbicide resistance in an agricultural weed

10.1101/2020.09.25.313650 ◽

2020 ◽

Author(s):

Emily B. Josephs ◽

Megan L. Van Etten ◽

Alex Harkess ◽

Adrian Platts ◽

Regina S. Baucom

Keyword(s):

Gene Expression ◽

Environmental Change ◽

Herbicide Resistance ◽

Morning Glory ◽

Adaptive Plasticity ◽

Clear Understanding ◽

Fitness Consequences ◽

Agricultural Weed ◽

Selection For ◽

Plastic Responses

AbstractPlastic phenotypic responses to environmental change are common, yet we lack a clear understanding of the fitness consequences of these plastic responses. Here, we use the evolution of herbicide resistance in the common morning glory (Ipomoea purpurea) as a model for understanding the relative importance of adaptive and maladaptive gene expression responses to herbicide. Specifically, we compare leaf gene expression changes caused by herbicide spray to the expression changes that evolve in response to artificial selection for herbicide resistance. We identify a number of genes that show plastic and evolved responses to herbicide and find that for the majority of genes with both plastic and evolved responses, plastic responses appear to be adaptive. We also find that selection for herbicide response increases gene expression plasticity. Overall, these results show the importance of adaptive plasticity for herbicide resistance in a common weed and that expression changes in response to strong environmental change can be adaptive.

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Gene expression shapes the patterns of parallel evolution of herbicide resistance in the agricultural weedMonochoria vaginalis

10.1101/2021.03.10.434542 ◽

2021 ◽

Author(s):

Shinji Tanigaki ◽

Akira Uchino ◽

Shigenori Okawa ◽

Chikako Miura ◽

Kenshiro Hamamura ◽

...

Keyword(s):

Gene Expression ◽

Herbicide Resistance ◽

Parallel Evolution ◽

Acetolactate Synthase ◽

Duplicate Gene ◽

Target Site ◽

Loss Of Function ◽

Functional Characterisation ◽

Gene Copies ◽

Key Factor

AbstractThe evolution of herbicide resistance in weeds is an example of parallel evolution, through which genes encoding herbicide target proteins are repeatedly represented as evolutionary loci. The number of herbicide target-site genes differs among species, and little is known regarding the effects of duplicate gene copies on the evolution of herbicide resistance. We investigated the evolution of herbicide resistance inMonochoria vaginalis, which carries five copies of sulfonylurea target-site acetolactate synthase (ALS) genes. Suspected resistant populations collected across Japan were investigated for herbicide sensitivity andALSgene sequences, followed by functional characterisation andALSgene expression analysis. We identified over 60 resistant populations, all of which carried resistance-conferring amino acid substitutions exclusively inMvALS1orMvALS3. AllMvALS4alleles carried a loss-of-function mutation. Although the enzymatic properties of ALS encoded by these genes were not markedly different, the expression ofMvALS1andMvALS3was prominently higher among allALSgenes. The higher expression ofMvALS1andMvALS3is the driving force of the biased representation of genes during the evolution of herbicide resistance inM. vaginalis. Our findings highlight that gene expression is a key factor in creating evolutionary hotspots.

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Multiple Herbicide–Resistant Junglerice (Echinochloa colona): Identification of Genes Potentially Involved in Resistance through Differential Gene Expression Analysis

Weed Science ◽

10.1017/wsc.2018.10 ◽

2018 ◽

Vol 66 (3) ◽

pp. 347-354 ◽

Cited By ~ 11

Author(s):

Alice A. Wright ◽

Marianela Rodriguez-Carres ◽

Rajkumar Sasidharan ◽

Liisa Koski ◽

Daniel G. Peterson ◽

...

Keyword(s):

Gene Expression ◽

Differential Gene Expression ◽

Expression Analysis ◽

Herbicide Resistance ◽

Gene Expression Analysis ◽

Point Mutations ◽

Resistance Mechanisms ◽

Polymorphism Analysis ◽

Differential Gene Expression Analysis ◽

Differential Gene

AbstractHerbicide resistance, and in particular multiple-herbicide resistance, poses an ever-increasing threat to food security. A biotype of junglerice [Echinochloa colona (L.) Link] with resistance to four herbicides, imazamox, fenoxaprop-P-ethyl, quinclorac, and propanil, each representing a different mechanism of action, was identified in Sunflower County, MS. Dose responses were performed on the resistant biotype and a biotype sensitive to all four herbicides to determine the level of resistance. Application of a cytochrome P450 inhibitor, malathion, with the herbicides imazamox and quinclorac resulted in increased susceptibility in the resistant biotype. Differential gene expression analysis of resistant and sensitive plants revealed that 170 transcripts were upregulated in resistant plants relative to sensitive plants and 160 transcripts were upregulated in sensitive plants. In addition, 507 transcripts were only expressed in resistant plants and 562 only in sensitive plants. A subset of these transcripts were investigated further using quantitative PCR (qPCR) to compare gene expression in resistant plants with expression in additional sensitive biotypes. The qPCR analysis identified two transcripts, a kinase and a glutathione S-transferase that were significantly upregulated in resistant plants compared with the sensitive plants. A third transcript, encoding an F-box protein, was downregulated in the resistant plants relative to the sensitive plants. As no cytochrome P450s were differentially expressed between the resistant and sensitive plants, a single-nucleotide polymorphism analysis was performed, revealing several nonsynonymous point mutations of interest. These candidate genes will require further study to elucidate the resistance mechanisms present in the resistant biotype.

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Decision letter for "Retinal Defocus and Form‐Deprivation Induced Regional Differential Gene Expression of BMPs in Chick RPE"

10.1002/cne.24957/v1/decision1 ◽

2020 ◽

Keyword(s):

Gene Expression ◽

Differential Gene Expression ◽

Differential Gene

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Decision letter for "Early postnatal gene expression in the developing neocortex of prairie voles ( Microtus ochrogaster ) is related to parental rearing style"

10.1002/cne.24856/v2/decision1 ◽

2020 ◽

Keyword(s):

Gene Expression ◽

Microtus Ochrogaster ◽

Prairie Voles ◽

Developing Neocortex ◽

Parental Rearing

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Molecular and Microscopic Analysis of Altered Gene Expression in Transgenic and Gene Targeted Mice

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100162521 ◽

1996 ◽

Vol 54 ◽

pp. 12-13

Author(s):

W. K. Jones ◽

J. Robbins

Keyword(s):

Gene Expression ◽

Pulmonary Veins ◽

Microscopic Analysis ◽

Mouse Tissue ◽

Adult Heart ◽

Heavy Chains ◽

Altered Gene Expression ◽

Altered Gene ◽

Pulmonary Myocardium

Two myosin heavy chains (MyHC) are expressed in the mammalian heart and are differentially regulated during development. In the mouse, the α-MyHC is expressed constitutively in the atrium. At birth, the β-MyHC is downregulated and replaced by the α-MyHC, which is the sole cardiac MyHC isoform in the adult heart. We have employed transgenic and gene-targeting methodologies to study the regulation of cardiac MyHC gene expression and the functional and developmental consequences of altered α-MyHC expression in the mouse.We previously characterized an α-MyHC promoter capable of driving tissue-specific and developmentally correct expression of a CAT (chloramphenicol acetyltransferase) marker in the mouse. Tissue surveys detected a small amount of CAT activity in the lung (Fig. 1a). The results of in situ hybridization analyses indicated that the pattern of CAT transcript in the adult heart (Fig. 1b, top panel) is the same as that of α-MyHC (Fig. 1b, lower panel). The α-MyHC gene is expressed in a layer of cardiac muscle (pulmonary myocardium) associated with the pulmonary veins (Fig. 1c). These studies extend our understanding of α-MyHC expression and delimit a third cardiac compartment.

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Linking transcription, RNA polymerase II elongation and alternative splicing

Biochemical Journal ◽

10.1042/bcj20200475 ◽

2020 ◽

Vol 477 (16) ◽

pp. 3091-3104 ◽

Cited By ~ 1

Author(s):

Luciana E. Giono ◽

Alberto R. Kornblihtt

Keyword(s):

Gene Expression ◽

Alternative Splicing ◽

Rna Polymerase Ii ◽

Environmental Changes ◽

Transcription Elongation ◽

Single Gene ◽

Regulation Of Gene Expression ◽

Regulation Of Transcription ◽

Stepping Stones ◽

Eukaryotic Transcription

Gene expression is an intricately regulated process that is at the basis of cell differentiation, the maintenance of cell identity and the cellular responses to environmental changes. Alternative splicing, the process by which multiple functionally distinct transcripts are generated from a single gene, is one of the main mechanisms that contribute to expand the coding capacity of genomes and help explain the level of complexity achieved by higher organisms. Eukaryotic transcription is subject to multiple layers of regulation both intrinsic — such as promoter structure — and dynamic, allowing the cell to respond to internal and external signals. Similarly, alternative splicing choices are affected by all of these aspects, mainly through the regulation of transcription elongation, making it a regulatory knob on a par with the regulation of gene expression levels. This review aims to recapitulate some of the history and stepping-stones that led to the paradigms held today about transcription and splicing regulation, with major focus on transcription elongation and its effect on alternative splicing.

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Role of small nuclear RNAs in eukaryotic gene expression

Essays in Biochemistry ◽

10.1042/bse0540079 ◽

2013 ◽

Vol 54 ◽

pp. 79-90 ◽

Cited By ~ 34

Author(s):

Saba Valadkhan ◽

Lalith S. Gunawardane

Keyword(s):

Gene Expression ◽

Protein Interactions ◽

Rna Stability ◽

Splice Sites ◽

Branch Site ◽

Small Nuclear Rnas ◽

Eukaryotic Gene Expression ◽

Eukaryotic Gene ◽

Rna Biogenesis

Eukaryotic cells contain small, highly abundant, nuclear-localized non-coding RNAs [snRNAs (small nuclear RNAs)] which play important roles in splicing of introns from primary genomic transcripts. Through a combination of RNA–RNA and RNA–protein interactions, two of the snRNPs, U1 and U2, recognize the splice sites and the branch site of introns. A complex remodelling of RNA–RNA and protein-based interactions follows, resulting in the assembly of catalytically competent spliceosomes, in which the snRNAs and their bound proteins play central roles. This process involves formation of extensive base-pairing interactions between U2 and U6, U6 and the 5′ splice site, and U5 and the exonic sequences immediately adjacent to the 5′ and 3′ splice sites. Thus RNA–RNA interactions involving U2, U5 and U6 help position the reacting groups of the first and second steps of splicing. In addition, U6 is also thought to participate in formation of the spliceosomal active site. Furthermore, emerging evidence suggests additional roles for snRNAs in regulation of various aspects of RNA biogenesis, from transcription to polyadenylation and RNA stability. These snRNP-mediated regulatory roles probably serve to ensure the co-ordination of the different processes involved in biogenesis of RNAs and point to the central importance of snRNAs in eukaryotic gene expression.

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