1
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Ferl RJ, Zhou M, Strickland HF, Haveman NJ, Callaham JB, Bandla S, Ambriz D, Paul AL. Transcriptomic dynamics in the transition from ground to space are revealed by Virgin Galactic human-tended suborbital spaceflight. NPJ Microgravity 2023; 9:95. [PMID: 38123588 PMCID: PMC10733374 DOI: 10.1038/s41526-023-00340-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
The Virgin Galactic Unity 22 mission conducted the first astronaut-manipulated suborbital spaceflight experiment. The experiment examined the operationalization of Kennedy Space Center Fixation Tubes (KFTs) as a generalizable approach to preserving biology at various phases of suborbital flight. The biology chosen for this experiment was Arabidopsis thaliana, ecotype Col-0, because of the plant history of spaceflight experimentation within KFTs and wealth of comparative data from orbital experiments. KFTs were deployed as a wearable device, a leg pouch attached to the astronaut, which proved to be operationally effective during the course of the flight. Data from the inflight samples indicated that the microgravity period of the flight elicited the strongest transcriptomic responses as measured by the number of genes showing differential expression. Genes related to reactive oxygen species and stress, as well as genes associated with orbital spaceflight, were highly represented among the suborbital gene expression profile. In addition, gene families largely unaffected in orbital spaceflight were diversely regulated in suborbital flight, including stress-responsive transcription factors. The human-tended suborbital experiment demonstrated the operational effectiveness of the KFTs in suborbital flight and suggests that rapid transcriptomic responses are a part of the temporal dynamics at the beginning of physiological adaptation to spaceflight.
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Affiliation(s)
- Robert J Ferl
- Department of Horticultural Sciences, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA.
- UF Research, University of Florida, 1523 Union Rd, Grinter Hall, Gainesville, FL, 32611, USA.
| | - Mingqi Zhou
- Department of Horticultural Sciences, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA
| | - Hunter F Strickland
- Department of Horticultural Sciences, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA
- Plant Molecular and Cellular Biology Program, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA
| | - Natasha J Haveman
- Department of Horticultural Sciences, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA
| | - Jordan B Callaham
- Department of Horticultural Sciences, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA
| | - Sirisha Bandla
- Virgin Galactic, 1700 Flight Way, 3rd Floor, Tustin, CA, 92782, USA
| | - Daniel Ambriz
- Virgin Galactic, 1700 Flight Way, 3rd Floor, Tustin, CA, 92782, USA
| | - Anna-Lisa Paul
- Department of Horticultural Sciences, University of Florida, 2550 Hull Road, Fifield Hall, Gainesville, FL, 32611, USA.
- Interdisciplinary Center for Biotechnology Research, University of Florida, 2033 Mowry Road, Gainesville, FL, 32610, USA.
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2
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Joshi G, Soe YP, Palanog A, Hore TK, Nha CT, Calayugan MI, Inabangan-Asilo MA, Amparado A, Pandey ID, Cruz PCS, Hernandez JE, Swamy BPM. Meta-QTL s and haplotypes for efficient zinc biofortification of rice. THE PLANT GENOME 2023; 16:e20315. [PMID: 36896580 DOI: 10.1002/tpg2.20315] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Biofortification of rice with improved grain zinc (Zn) content is the most sustainable and cost-effective approach to address Zn malnutrition in Asia. Genomics-assisted breeding using precise and consistent Zn quantitative trait loci (QTLs), genes, and haplotypes can fast-track the development of Zn biofortified rice varieties. We conducted the meta-analysis of 155 Zn QTLs reported from 26 different studies. Results revealed 57 meta-QTLs with a significant reduction of 63.2% and 80% in the number and confidence interval of the Zn QTLs, respectively. Meta-quantitative trait loci (MQTLs) regions were found to be enriched with diverse metal homeostasis genes; at least 11 MQTLs were colocated with 20 known major genes involved in the production of root exudates, metal uptake, transport, partitioning, and loading into grains in rice. These genes were differentially expressed in vegetative and reproductive tissues, and a complex web of interactions were observed among them. We identified superior haplotypes and their combinations for nine candidate genes (CGs), and the frequency and allelic effects of superior haplotypes varied in different subgroups. The precise MQTLs with high phenotypic variance, CGs, and superior haplotypes identified in our study are useful for an efficient Zn biofortification of rice and to ensure Zn as an essential component of all the future rice varieties through mainstreaming of Zn breeding.
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Affiliation(s)
- Gaurav Joshi
- Rice Genetic Design and Validation Unit, International Rice Research Institute, Los Baños, Philippines
- Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
| | | | | | - Tapas Kumer Hore
- Rice Genetic Design and Validation Unit, International Rice Research Institute, Los Baños, Philippines
| | - Chau Thanh Nha
- Philippines Rice Research Institute, Muñoz, Nueva Ecija, Philippines
| | | | - Mary Ann Inabangan-Asilo
- Rice Genetic Design and Validation Unit, International Rice Research Institute, Los Baños, Philippines
| | - Amery Amparado
- Rice Genetic Design and Validation Unit, International Rice Research Institute, Los Baños, Philippines
| | - Indra Deo Pandey
- Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
| | | | | | - B P Mallikarjuna Swamy
- Rice Genetic Design and Validation Unit, International Rice Research Institute, Los Baños, Philippines
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3
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Schnabel E, Thomas J, El-Hawaz R, Gao Y, Poehlman WL, Chavan S, Pasha A, Esteban E, Provart N, Feltus FA, Frugoli J. Laser Capture Microdissection Transcriptome Reveals Spatiotemporal Tissue Gene Expression Patterns of Medicago truncatula Roots Responding to Rhizobia. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2023; 36:805-820. [PMID: 37717250 DOI: 10.1094/mpmi-03-23-0029-r] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
We report a public resource for examining the spatiotemporal RNA expression of 54,893 Medicago truncatula genes during the first 72 h of response to rhizobial inoculation. Using a methodology that allows synchronous inoculation and growth of more than 100 plants in a single media container, we harvested the same segment of each root responding to rhizobia in the initial inoculation over a time course, collected individual tissues from these segments with laser capture microdissection, and created and sequenced RNA libraries generated from these tissues. We demonstrate the utility of the resource by examining the expression patterns of a set of genes induced very early in nodule signaling, as well as two gene families (CLE peptides and nodule specific PLAT-domain proteins) and show that despite similar whole-root expression patterns, there are tissue differences in expression between the genes. Using a rhizobial response dataset generated from transcriptomics on intact root segments, we also examined differential temporal expression patterns and determined that, after nodule tissue, the epidermis and cortical cells contained the most temporally patterned genes. We circumscribed gene lists for each time and tissue examined and developed an expression pattern visualization tool. Finally, we explored transcriptomic differences between the inner cortical cells that become nodules and those that do not, confirming that the expression of 1-aminocyclopropane-1-carboxylate synthases distinguishes inner cortical cells that become nodules and provide and describe potential downstream genes involved in early nodule cell division. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Affiliation(s)
- Elise Schnabel
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
| | - Jacklyn Thomas
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
| | - Rabia El-Hawaz
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
| | - Yueyao Gao
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
| | - William L Poehlman
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
- Sage Bionetworks, Seattle, WA 98121, U.S.A
| | - Suchitra Chavan
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
- Leidos, Inc., Atlanta, GA 30345, U.S.A
| | - Asher Pasha
- Department of Cell and Systems Biology, University of Toronto, ON M5S 3B2, Canada
| | - Eddi Esteban
- Department of Cell and Systems Biology, University of Toronto, ON M5S 3B2, Canada
| | - Nicholas Provart
- Department of Cell and Systems Biology, University of Toronto, ON M5S 3B2, Canada
| | - F Alex Feltus
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
- Biomedical Data Science and Informatics Program, Clemson University, Clemson, SC 29634, U.S.A
- Clemson Center for Human Genetics, Clemson University, Greenwood, SC 29636, U.S.A
| | - Julia Frugoli
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, U.S.A
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4
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Schulte LM, Koirtyohann KM, McGinnis KM. Using iRNA-seq analysis to predict gene expression regulatory level and activity in Zea mays tissues. G3 GENES|GENOMES|GENETICS 2022; 12:6566301. [PMID: 35404453 PMCID: PMC9157096 DOI: 10.1093/g3journal/jkac086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 03/30/2022] [Indexed: 11/14/2022]
Abstract
Abstract
Plants regulate gene expression at the transcriptional and post-transcriptional levels to produce a variety of functionally diverse cells and tissues that ensure normal growth, development, and environmental response. Although distinct gene expression patterns have been characterized between different plant tissues, the specific role of transcriptional regulation of tissue-specific expression is not well-characterized in plants. RNA-seq, while widely used to assay for changes in transcript abundance, does not discriminate between differential expression caused by mRNA degradation and active transcription. Recently, the presence of intron sequences in RNA-seq analysis of libraries constructed with total RNA has been found to coincide with genes undergoing active transcription. We have adapted the intron RNA-sequencing analysis to determine genome-wide transcriptional activity in 2 different maize (Zea mays) tissues: husk and V2-inner stem tissue. A total of 5,341 genes were predicted to be transcriptionally differentially expressed between the 2 tissues, including many genes expected to have biological activity relevant to the functional and developmental identity of each tissue. Correlations with transcriptional enhancer and transcription factor activity support the validity of intron RNA-sequencing predictions of transcriptional regulation. A subset of transcription factors was further analyzed using gene regulatory network analysis to determine the possible impact of their activation. The predicted regulatory patterns between these genes were used to model a potential gene regulatory network of transcription factors and regulatory targets.
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Affiliation(s)
- Lauren M Schulte
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Kathryn M Koirtyohann
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Karen M McGinnis
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
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5
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Rueda D, Awika HO, Bedre R, Kandel DR, Mandadi KK, Crosby K, Avila CA. Phenotypic Diversity and Association Mapping of Ascorbic Acid Content in Spinach. Front Genet 2022; 12:752313. [PMID: 35046997 PMCID: PMC8762172 DOI: 10.3389/fgene.2021.752313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 11/15/2021] [Indexed: 11/23/2022] Open
Abstract
Ascorbic acid (AsA), or vitamin C, is an essential nutrient for humans. In plants, AsA functions as an antioxidant during normal metabolism or in response to stress. Spinach is a highly nutritious green leafy vegetable that is consumed fresh, cooked or as a part of other dishes. One current goal in spinach breeding programs is to enhance quality and nutritional content. However, little is known about the diversity of nutritional content present in spinach germplasm, especially for AsA content. In this study, a worldwide panel of 352 accessions was screened for AsA content showing that variability in spinach germplasm is high and could be utilized for cultivar improvement. In addition, a genome-wide association study for marker-trait association was performed using three models, and associated markers were searched in the genome for functional annotation analysis. The generalized linear model (GLM), the compressed mixed linear model (CMLM) based on population parameters previously determined (P3D) and the perMarker model together identified a total of 490 significant markers distributed across all six spinach chromosomes indicating the complex inheritance of the trait. The different association models identified unique and overlapping marker sets, where 27 markers were identified by all three models. Identified high AsA content accessions can be used as parental lines for trait introgression and to create segregating populations for further genetic analysis. Bioinformatic analysis indicated that identified markers can differentiate between high and low AsA content accessions and that, upon validation, these markers should be useful for breeding programs.
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Affiliation(s)
- Dario Rueda
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, United States
| | - Henry O Awika
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, United States
| | - Renesh Bedre
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, United States
| | - Devi R Kandel
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, United States
| | - Kranthi K Mandadi
- Texas A&M AgriLife Research and Extension Center, Weslaco, TX, United States.,Department of Plant Pathology and Microbiology, College Station, TX, United States
| | - Kevin Crosby
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, United States
| | - Carlos A Avila
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, United States.,Texas A&M AgriLife Research and Extension Center, Weslaco, TX, United States
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6
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Liu B, Seong K, Pang S, Song J, Gao H, Wang C, Zhai J, Zhang Y, Gao S, Li X, Qi T, Song S. Functional specificity, diversity, and redundancy of Arabidopsis JAZ family repressors in jasmonate and COI1-regulated growth, development, and defense. THE NEW PHYTOLOGIST 2021; 231:1525-1545. [PMID: 34009665 DOI: 10.1111/nph.17477] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 05/11/2021] [Indexed: 05/11/2023]
Abstract
In response to jasmonates (JAs), the JA receptor Coronatine Insensitive 1 (COI1) recruits JA-zinc-finger inflorescence meristem (ZIM)-domain (JAZ) family repressors for destruction to regulate plant growth, development, and defense. As Arabidopsis encodes 13 JAZ repressors, their functional specificity, diversity, and redundancy in JA/COI1-mediated responses remain unclear. We generated a broad range of jaz mutants based on their phylogenetic relationship to investigate their roles in JA responses. The group I JAZ6 may play an inhibitory role in resistance to Botrytis cinerea, group II (JAZ10)/III (JAZ11/12) in JA-regulated root growth inhibition and susceptibility to Pseudomonas syringae pv tomato DC3000, and group IV JAZ3/4/9 in flowering time delay and defense against insects. JAZs exhibit high redundancy in apical hook curvature. The undecuple jaz1/2/3/4/5/6/7/9/10/11/12 (jaz1-7,9-12) mutations enhance JA responses and suppress the phenotypes of coi1-1 in flowering time, rosette growth, and defense. The JA hypersensitivity of jaz1-7,9-12 in root growth, hook curvature, and leaf yellowing is blocked by coi1-1. jaz1-7,9-12 does not influence the stamen phenotypes of wild-type and coi1-1. jaz1-7,9-12 affects JA-regulated transcriptional profile and recovers a fraction of that in coi1-1. This study contributes to elucidating the specificity, diversity, and redundancy of JAZ members in JA/COI1-regulated growth, development, and defense responses.
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Affiliation(s)
- Bei Liu
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Kyungyong Seong
- Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720-3120, USA
| | - Shihai Pang
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
| | - Junqiao Song
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
| | - Hua Gao
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Cuili Wang
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Jiaqi Zhai
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
| | - Yue Zhang
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
- Cangzhou Academy of Agricultural and Forestry Sciences, Cangzhou, 061001, China
| | - Shang Gao
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Xuedong Li
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
| | - Tiancong Qi
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Susheng Song
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, RNA Center, College of Life Sciences, Capital Normal University, Beijing, 100048, China
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7
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Sharma E, Borah P, Kaur A, Bhatnagar A, Mohapatra T, Kapoor S, Khurana JP. A comprehensive transcriptome analysis of contrasting rice cultivars highlights the role of auxin and ABA responsive genes in heat stress response. Genomics 2021; 113:1247-1261. [PMID: 33705886 DOI: 10.1016/j.ygeno.2021.03.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 02/10/2021] [Accepted: 03/04/2021] [Indexed: 11/16/2022]
Abstract
Sensing a change in ambient temperature is key to survival among all living organisms. Temperature fluctuations due to climate change are a matter of grave concern since it adversely affects growth and eventually the yield of crop plants, including two of the major cereals, i.e., rice and wheat. Thus, to understand the response of rice seedlings to elevated temperatures, we performed microarray-based transcriptome analysis of two contrasting rice cultivars, Annapurna (heat tolerant) and IR64 (heat susceptible), by subjecting their seedlings to 37 °C and 42 °C, sequentially. The transcriptome analyses revealed a set of uniquely regulated genes and related pathways in red rice cultivar Annapurna, particularly associated with auxin and ABA as a part of heat stress response in rice. The changes in expression of few auxin and ABA associated genes, such as OsIAA13, OsIAA20, ILL8, OsbZIP12, OsPP2C51, OsDi19-1 and OsHOX24, among others, were validated under high-temperature conditions using RT-qPCR. In particular, the expression of auxin-inducible SAUR genes was enhanced considerably at both elevated temperatures. Further, using genes that expressed inversely under heat vs. cold temperature conditions, we built a regulatory network between transcription factors (TF) such as HSFs, NAC, WRKYs, bHLHs or bZIPs and their target gene pairs and determined regulatory coordination in their expression under varying temperature conditions. Our work thus provides useful insights into temperature-responsive genes, particularly under elevated temperature conditions, and could serve as a resource of candidate genes associated with thermotolerance or downstream components of temperature sensors in rice.
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Affiliation(s)
- Eshan Sharma
- Interdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi 110021, India
| | - Pratikshya Borah
- Interdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi 110021, India
| | - Amarjot Kaur
- Interdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi 110021, India
| | - Akanksha Bhatnagar
- Interdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi 110021, India
| | - Trilochan Mohapatra
- Indian Council of Agricultural Research, Krishi Bhawan, New Delhi 110001, India
| | - Sanjay Kapoor
- Interdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi 110021, India; Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi 110021, India
| | - Jitendra P Khurana
- Interdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi 110021, India; Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi 110021, India.
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8
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DeMers LC, Redekar NR, Kachroo A, Tolin SA, Li S, Saghai Maroof MA. A transcriptional regulatory network of Rsv3-mediated extreme resistance against Soybean mosaic virus. PLoS One 2020; 15:e0231658. [PMID: 32315334 DOI: 10.1371/journal.pgen.0231658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 03/29/2020] [Indexed: 05/28/2023] Open
Abstract
Resistance genes are an effective means for disease control in plants. They predominantly function by inducing a hypersensitive reaction, which results in localized cell death restricting pathogen spread. Some resistance genes elicit an atypical response, termed extreme resistance, where resistance is not associated with a hypersensitive reaction and its standard defense responses. Unlike hypersensitive reaction, the molecular regulatory mechanism(s) underlying extreme resistance is largely unexplored. One of the few known, naturally occurring, instances of extreme resistance is resistance derived from the soybean Rsv3 gene, which confers resistance against the most virulent Soybean mosaic virus strains. To discern the regulatory mechanism underlying Rsv3-mediated extreme resistance, we generated a gene regulatory network using transcriptomic data from time course comparisons of Soybean mosaic virus-G7-inoculated resistant (L29, Rsv3-genotype) and susceptible (Williams82, rsv3-genotype) soybean cultivars. Our results show Rsv3 begins mounting a defense by 6 hpi via a complex phytohormone network, where abscisic acid, cytokinin, jasmonic acid, and salicylic acid pathways are suppressed. We identified putative regulatory interactions between transcription factors and genes in phytohormone regulatory pathways, which is consistent with the demonstrated involvement of these pathways in Rsv3-mediated resistance. One such transcription factor identified as a putative transcriptional regulator was MYC2 encoded by Glyma.07G051500. Known as a master regulator of abscisic acid and jasmonic acid signaling, MYC2 specifically recognizes the G-box motif ("CACGTG"), which was significantly enriched in our data among differentially expressed genes implicated in abscisic acid- and jasmonic acid-related activities. This suggests an important role for Glyma.07G051500 in abscisic acid- and jasmonic acid-derived defense signaling in Rsv3. Resultantly, the findings from our network offer insights into genes and biological pathways underlying the molecular defense mechanism of Rsv3-mediated extreme resistance against Soybean mosaic virus. The computational pipeline used to reconstruct the gene regulatory network in this study is freely available at https://github.com/LiLabAtVT/rsv3-network.
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Affiliation(s)
- Lindsay C DeMers
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Neelam R Redekar
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Aardra Kachroo
- Department of Plant Pathology, University of Kentucky, Lexington, Virginia, United States of America
| | - Sue A Tolin
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Song Li
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - M A Saghai Maroof
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
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9
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DeMers LC, Redekar NR, Kachroo A, Tolin SA, Li S, Saghai Maroof MA. A transcriptional regulatory network of Rsv3-mediated extreme resistance against Soybean mosaic virus. PLoS One 2020; 15:e0231658. [PMID: 32315334 PMCID: PMC7173922 DOI: 10.1371/journal.pone.0231658] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 03/29/2020] [Indexed: 01/02/2023] Open
Abstract
Resistance genes are an effective means for disease control in plants. They predominantly function by inducing a hypersensitive reaction, which results in localized cell death restricting pathogen spread. Some resistance genes elicit an atypical response, termed extreme resistance, where resistance is not associated with a hypersensitive reaction and its standard defense responses. Unlike hypersensitive reaction, the molecular regulatory mechanism(s) underlying extreme resistance is largely unexplored. One of the few known, naturally occurring, instances of extreme resistance is resistance derived from the soybean Rsv3 gene, which confers resistance against the most virulent Soybean mosaic virus strains. To discern the regulatory mechanism underlying Rsv3-mediated extreme resistance, we generated a gene regulatory network using transcriptomic data from time course comparisons of Soybean mosaic virus-G7-inoculated resistant (L29, Rsv3-genotype) and susceptible (Williams82, rsv3-genotype) soybean cultivars. Our results show Rsv3 begins mounting a defense by 6 hpi via a complex phytohormone network, where abscisic acid, cytokinin, jasmonic acid, and salicylic acid pathways are suppressed. We identified putative regulatory interactions between transcription factors and genes in phytohormone regulatory pathways, which is consistent with the demonstrated involvement of these pathways in Rsv3-mediated resistance. One such transcription factor identified as a putative transcriptional regulator was MYC2 encoded by Glyma.07G051500. Known as a master regulator of abscisic acid and jasmonic acid signaling, MYC2 specifically recognizes the G-box motif ("CACGTG"), which was significantly enriched in our data among differentially expressed genes implicated in abscisic acid- and jasmonic acid-related activities. This suggests an important role for Glyma.07G051500 in abscisic acid- and jasmonic acid-derived defense signaling in Rsv3. Resultantly, the findings from our network offer insights into genes and biological pathways underlying the molecular defense mechanism of Rsv3-mediated extreme resistance against Soybean mosaic virus. The computational pipeline used to reconstruct the gene regulatory network in this study is freely available at https://github.com/LiLabAtVT/rsv3-network.
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Affiliation(s)
- Lindsay C. DeMers
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Neelam R. Redekar
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Aardra Kachroo
- Department of Plant Pathology, University of Kentucky, Lexington, Virginia, United States of America
| | - Sue A. Tolin
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Song Li
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
| | - M. A. Saghai Maroof
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
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