Browsing by Author "Kim, Gunjune"

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    Genotyping-by-sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation
    Bendaoud, Farah; Kim, Gunjune; Larose, Hailey; Westwood, James H.; Zermane, Nadjia; Haak, David C. (Wiley, 2022-03)
    Crenate broomrape (Orobanche crenata Forsk.) is a serious long-standing parasitic weed problem in Algeria, mainly affecting legumes but also vegetable crops. Unresolved questions for parasitic weeds revolve around the extent to which these plants undergo local adaptation, especially with respect to host specialization, which would be expected to be a strong selective factor for obligate parasitic plants. In the present study, the genotyping-by-sequencing (GBS) approach was used to analyze genetic diversity and population structure of 10 Northern Algerian O. crenata populations with different geographical origins and host species (faba bean, pea, chickpea, carrot, and tomato). In total, 8004 high-quality single-nucleotide polymorphisms (5% missingness) were obtained and used across the study. Genetic diversity and relationships of 95 individuals from 10 populations were studied using model-based ancestry analysis, principal components analysis, discriminant analysis of principal components, and phylogeny approaches. The genetic differentiation (F-ST) between pairs of populations was lower between adjacent populations and higher between geographically separated ones, but no support was found for isolation by distance. Further analyses identified four genetic clusters and revealed evidence of structuring among populations and, although confounded with location, among hosts. In the clearest example, O. crenata growing on pea had a SNP profile that was distinct from other host/location combinations. These results illustrate the importance and potential of GBS to reveal the dynamics of parasitic weed dispersal and population structure.
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    Herbicide injury induces DNA methylome alterations in Arabidopsis
    Kim, Gunjune; Clarke, Christopher R.; Larose, Hailey; Tran, Hong T.; Haak, David C.; Zhang, Liqing; Askew, Shawn D.; Barney, Jacob; Westwood, James H. (2017-07)
    The emergence of herbicide-resistant weeds is a major threat facing modern agriculture. Over 470 weedy-plant populations have developed resistance to herbicides. Traditional evolutionary mechanisms are not always sufficient to explain the rapidity with which certain weed populations adapt in response to herbicide exposure. Stress-induced epigenetic changes, such as alterations in DNA methylation, are potential additional adaptive mechanisms for herbicide resistance. We performed methylC sequencing of Arabidopsis thaliana leaves that developed after either mock treatment or two different sub-lethal doses of the herbicide glyphosate, the most-used herbicide in the history of agriculture. The herbicide injury resulted in 9,205 differentially methylated regions (DMRs) across the genome. In total, 5,914 of these DMRs were induced in a dose-dependent manner, wherein the methylation levels were positively correlated to the severity of the herbicide injury, suggesting that plants can modulate the magnitude of methylation changes based on the severity of the stress. Of the 3,680 genes associated with glyphosateinduced DMRs, only 7% were also implicated in methylation changes following biotic or salinity stress. These results demonstrate that plants respond to herbicide stress through changes in methylation patterns that are, in general, dose-sensitive and, at least partially, stress-specific.
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    Herbicide injury induces DNA methylome alterations in Arabidopsis
    Kim, Gunjune; Clarke, Christopher R.; Larose, Hailey; Tran, Hong T.; Haak, David C.; Zhang, Liqing; Askew, Shawn D.; Barney, Jacob; Westwood, James H. (PeerJ, 2017-07-20)
    The emergence of herbicide-resistant weeds is a major threat facing modern agriculture. Over 470 weedy-plant populations have developed resistance to herbicides. Traditional evolutionary mechanisms are not always sufficient to explain the rapidity with which certain weed populations adapt in response to herbicide exposure. Stress-induced epigenetic changes, such as alterations in DNA methylation, are potential additional adaptive mechanisms for herbicide resistance. We performed methylC sequencing of Arabidopsis thaliana leaves that developed after either mock treatment or two different sub-lethal doses of the herbicide glyphosate, the most-used herbicide in the history of agriculture. The herbicide injury resulted in 9,205 differentially methylated regions (DMRs) across the genome. In total, 5,914 of these DMRs were induced in a dose-dependent manner, wherein the methylation levels were positively correlated to the severity of the herbicide injury, suggesting that plants can modulate the magnitude of methylation changes based on the severity of the stress. Of the 3,680 genes associated with glyphosate-induced DMRs, only 7% were also implicated in methylation changes following biotic or salinity stress. These results demonstrate that plants respond to herbicide stress through changes in methylation patterns that are, in general, dose-sensitive and, at least partially, stress-specific.
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    Identification of Differentially Methylated Sites with Weak Methylation Effects
    Tran, Hong T.; Zhu, Hongxiao; Wu, Xiaowei; Kim, Gunjune; Clarke, Christopher R.; Larose, Hailey; Haak, David C.; Askew, Shawn D.; Barney, Jacob; Westwood, James H.; Zhang, Liqing (MDPI, 2018-02-08)
    Deoxyribonucleic acid (DNA) methylation is an epigenetic alteration crucial for regulating stress responses. Identifying large-scale DNA methylation at single nucleotide resolution is made possible by whole genome bisulfite sequencing. An essential task following the generation of bisulfite sequencing data is to detect differentially methylated cytosines (DMCs) among treatments. Most statistical methods for DMC detection do not consider the dependency of methylation patterns across the genome, thus possibly inflating type I error. Furthermore, small sample sizes and weak methylation effects among different phenotype categories make it difficult for these statistical methods to accurately detect DMCs. To address these issues, the wavelet-based functional mixed model (WFMM) was introduced to detect DMCs. To further examine the performance of WFMM in detecting weak differential methylation events, we used both simulated and empirical data and compare WFMM performance to a popular DMC detection tool methylKit. Analyses of simulated data that replicated the effects of the herbicide glyphosate on DNA methylation in Arabidopsis thaliana show that WFMM results in higher sensitivity and specificity in detecting DMCs compared to methylKit, especially when the methylation differences among phenotype groups are small. Moreover, the performance of WFMM is robust with respect to small sample sizes, making it particularly attractive considering the current high costs of bisulfite sequencing. Analysis of empirical Arabidopsis thaliana data under varying glyphosate dosages, and the analysis of monozygotic (MZ) twins who have different pain sensitivities—both datasets have weak methylation effects of <1%—show that WFMM can identify more relevant DMCs related to the phenotype of interest than methylKit. Differentially methylated regions (DMRs) are genomic regions with different DNA methylation status across biological samples. DMRs and DMCs are essentially the same concepts, with the only difference being how methylation information across the genome is summarized. If methylation levels are determined by grouping neighboring cytosine sites, then they are DMRs; if methylation levels are calculated based on single cytosines, they are DMCs.
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    Massive Exchange of mRNA between a Parasitic Plant and its Hosts
    Kim, Gunjune (Virginia Tech, 2014-09-16)
    Cuscuta pentagona is an obligate parasitic plant that hinders production of crops throughout the world. Parasitic plants have unique morphological and physiological features, the most prominent being the haustorium, a specialized organ that functions to connect them with their host's vascular system. The Cuscuta haustorium is remarkable in that it enables mRNA movement to occur between hosts and parasite, but little is known about the mechanisms regulating cross-species mRNA transfer or its biological significance to the parasite. These questions were addressed with genomics approaches that used high throughput sequencing to assess the presence of host mRNAs in the parasite as well as parasite mRNAs in the host. For the main experiment Cuscuta was grown on stems of Arabidopsis thaliana and tomato (Solanum lycopersicon) hosts because the completely sequenced genomes of these plants facilitates identification of host and parasite transcripts in mixed mRNA samples. Tissues sequenced included the Cuscuta stem alone, the region of Cuscuta-host attachment, and the host stem adjacent to the attachment site. The sequences generated from each tissue were mapped to host reference genes to distinguish host sequences, and the remaining sequences were used in a de novo assembly of a Cuscuta transcriptome. This analysis revealed that thousands of different Arabidopsis transcripts, representing nearly half of the expressed transcriptome of Arabidopsis, were represented in the attached Cuscuta. RNA movement was also found to be bidirectional, with a substantial proportion of expressed Cuscuta transcripts found in host tissue. The mechanism underlying the exchange remains unknown, as well as the function of mobile RNAs in either the parasite or host. An approach was developed to assay potential translation of host mRNAs by detecting them in the Cuscuta translatome as revealed by sequencing polysomal RNA and ribosome-protected RNA. This work highlights RNA trafficking as a potentially important new form of interaction between hosts and Cuscuta.
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    RNA trafficking in parasitic plant systems
    LeBlanc, Megan L.; Kim, Gunjune; Westwood, James H. (Frontiers, 2012)
    RNA trafficking in plants contributes to local and long-distance coordination of plant development and response to the environment. However, investigations of mobile RNA identity and function are hindered by the inherent difficulty of tracing a given molecule of RNA from its cell of origin to its destination. Several methods have been used to address this problem, but all are limited to some extent by constraints associated with accurately sampling phloem sap or detecting trafficked RNA. Certain parasitic plant species form symplastic connections to their hosts and thereby provide an additional system for studying RNA trafficking. The haustorial connections of Cuscuta and Phelipanche species are similar to graft junctions in that they are able to transmit mRNAs, viral RNAs, siRNAs, and proteins from the host plants to the parasite. In contrast to other graft systems, these parasites form connections with host species that span a wide phylogenetic range, such that a high degree of nucleotide sequence divergence may exist between host and parasites and allow confident identification of most host RNAs in the parasite system. The ability to identify host RNAs in parasites, and vice versa, will facilitate genomics approaches to understanding RNA trafficking. This review discusses the nature of host parasite connections and the potential significance of host RNAs for the parasite. Additional research on host parasite interactions is needed to interpret results of RNA trafficking studies, but parasitic plants may provide a fascinating new perspective on RNA trafficking.
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    Sequencing and De Novo Assembly of the Toxicodendron radicans (Poison Ivy) Transcriptome
    Weisberg, Alexandra J.; Kim, Gunjune; Westwood, James H.; Jelesko, John G. (MDPI, 2017-11-10)
    Contact with poison ivy plants is widely dreaded because they produce a natural product called urushiol that is responsible for allergenic contact delayed-dermatitis symptoms lasting for weeks. For this reason, the catchphrase most associated with poison ivy is “leaves of three, let it be”, which serves the purpose of both identification and an appeal for avoidance. Ironically, despite this notoriety, there is a dearth of specific knowledge about nearly all other aspects of poison ivy physiology and ecology. As a means of gaining a more molecular-oriented understanding of poison ivy physiology and ecology, Next Generation DNA sequencing technology was used to develop poison ivy root and leaf RNA-seq transcriptome resources. De novo assembled transcriptomes were analyzed to generate a core set of high quality expressed transcripts present in poison ivy tissue. The predicted protein sequences were evaluated for similarity to SwissProt homologs and InterProScan domains, as well as assigned both GO terms and KEGG annotations. Over 23,000 simple sequence repeats were identified in the transcriptome, and corresponding oligo nucleotide primer pairs were designed. A pan-transcriptome analysis of existing Anacardiaceae transcriptomes revealed conserved and unique transcripts among these species.