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Wannitikul P, Dachphun I, Sakulkoo J, Suttangkakul A, Wonnapinij P, Simister R, Gomez LD, Vuttipongchaikij S. In Vivo Proximity Cross-Linking and Immunoprecipitation of Cell Wall Epitopes Identify Proteins Associated with the Biosynthesis of Matrix Polysaccharides. ACS OMEGA 2024; 9:31438-31454. [PMID: 39072051 PMCID: PMC11270709 DOI: 10.1021/acsomega.4c00534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 07/30/2024]
Abstract
Identification of proteins involved in cell wall matrix polysaccharide biosynthesis is crucial to understand plant cell wall biology. We utilized in vivo cross-linking and immunoprecipitation with cell wall antibodies that recognized xyloglucan, xylan, mannan, and homogalacturonan to capture proteins associated with matrix polysaccharides in Arabidopsis protoplasts. The use of cross-linkers allowed us to capture proteins actively associated with cell wall polymers, including those directly interacting with glycans via glycan-protein (GP) cross-linkers and those associated with proteins linked to glycans via a protein-protein (PP) cross-linker. Immunoprecipitations led to the identification of 65 Arabidopsis protein IDs localized in the Golgi, ER, plasma membrane, and others without subcellular localization data. Among these, we found several glycosyltransferases directly involved in polysaccharide synthesis, along with proteins related to cell wall modification and vesicle trafficking. Protein interaction networks from DeepAraPPI and AtMAD databases showed interactions between various IDs, including those related to cell-wall-associated proteins and membrane/vesicle trafficking proteins. Gene expression and coexpression analyses supported the presence and relevance of the proteins to the cell wall processes. Reverse genetic studies using T-DNA insertion mutants of selected proteins revealed changes in cell wall composition and saccharification, further supporting their potential roles in cell wall biosynthesis. Overall, our approach represents a novel approach for studying cell wall polysaccharide biosynthesis and associated proteins, providing advantages over traditional immunoprecipitation techniques. This study provides a list of putative proteins associated with different matrix polysaccharides for further investigation and highlights the complexity of cell wall biosynthesis and trafficking within plant cells.
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Affiliation(s)
- Pitchaporn Wannitikul
- Department
of Genetics, Faculty of Science, Kasetsart
University, 50 Ngarm Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
| | - Issariya Dachphun
- Department
of Genetics, Faculty of Science, Kasetsart
University, 50 Ngarm Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
| | - Jenjira Sakulkoo
- Department
of Genetics, Faculty of Science, Kasetsart
University, 50 Ngarm Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
| | - Anongpat Suttangkakul
- Department
of Genetics, Faculty of Science, Kasetsart
University, 50 Ngarm Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
- Center
of Advanced Studies for Tropical Natural Resources, Kasetsart University, Ngam Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
- Omics
Center for Agriculture, Bioresources, Food and Health, Kasetsart University (OmiKU), Bangkok 10900, Thailand
| | - Passorn Wonnapinij
- Department
of Genetics, Faculty of Science, Kasetsart
University, 50 Ngarm Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
- Center
of Advanced Studies for Tropical Natural Resources, Kasetsart University, Ngam Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
- Omics
Center for Agriculture, Bioresources, Food and Health, Kasetsart University (OmiKU), Bangkok 10900, Thailand
| | - Rachael Simister
- CNAP,
Department of Biology, University of York, Heslington, York YO10 5DD, United
Kingdom
| | - Leonardo D. Gomez
- CNAP,
Department of Biology, University of York, Heslington, York YO10 5DD, United
Kingdom
| | - Supachai Vuttipongchaikij
- Department
of Genetics, Faculty of Science, Kasetsart
University, 50 Ngarm Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
- Center
of Advanced Studies for Tropical Natural Resources, Kasetsart University, Ngam Wong Wan Road, Chattuchak, Bangkok 10900, Thailand
- Omics
Center for Agriculture, Bioresources, Food and Health, Kasetsart University (OmiKU), Bangkok 10900, Thailand
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2
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Lal M, Bhardwaj E, Chahar N, Yadav S, Das S. Comprehensive analysis of 1R- and 2R-MYBs reveals novel genic and protein features, complex organisation, selective expansion and insights into evolutionary tendencies. Funct Integr Genomics 2022; 22:371-405. [PMID: 35260976 DOI: 10.1007/s10142-022-00836-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 02/10/2022] [Accepted: 02/23/2022] [Indexed: 11/28/2022]
Abstract
Myeloblastosis (MYB) family, the largest plant transcription factor family, has been subcategorised based on the number and type of repeats in the MYB domain. In spite of several reports, evolution of MYB genes and repeats remains enigmatic. Brassicaceae members are endowed with complex genomes, including dysploidy because of its unique history with multiple rounds of polyploidisation, genomic fractionations and rearrangements. The present study is an attempt to gain insights into the complexities of MYB family diversity, understand impacts of genome evolution on gene families and develop an evolutionary framework to understand the origin of various subcategories of MYB gene family. We identified and analysed 1129 MYBs that included 1R-, 2R-, 3R- and atypical-MYBs across sixteen species representing protists, fungi, animals and plants and exclude MYB identified from Brassicaceae except Arabidopsis thaliana; in addition, a total of 1137 2R-MYB genes from six Brassicaceae species were also analysed. Comparative analysis revealed predominance of 1R-MYBs in protists, fungi, animals and lower plants. Phylogenetic reconstruction and analysis of selection pressure suggested ancestral nature of R1-type repeat containing 1R-MYBs that might have undergone intragenic duplication to form multi-repeat MYBs. Distinct differences in gene structure between 1R-MYB and 2R-MYBs were observed regarding intron number, the ratio of gene length to coding DNA sequence (CDS) length and the length of exons encoding the MYB domain. Conserved as well as novel and lineage-specific intron phases were identified. Analyses of physicochemical properties revealed drastic differences indicating functional diversification in MYBs. Phylogenetic reconstruction of 1R- and 2R-MYB genes revealed a shared structure-function relationship in clades which was supported when transcriptome data was analysed in silico. Comparative genomics to study distribution pattern and mapping of 2R-MYBs revealed congruency and greater degree of synteny and collinearity among closely related species. Micro-synteny analysis of genomic segments revealed high conservation of genes that are immediately flanking the surrounding tandemly organised 2R-MYBs along with instances of local duplication, reorganisations and genome fractionation. In summary, polyploidy, dysploidy, reshuffling and genome fractionation were found to cause loss or gain of 2R-MYB genes. The findings need to be supported with functional validation to understand gene structure-function relationship along the evolutionary lineage and adaptive strategies based on comparative functional genomics in plants.
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Affiliation(s)
- Mukund Lal
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Ekta Bhardwaj
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Nishu Chahar
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Shobha Yadav
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Sandip Das
- Department of Botany, University of Delhi, Delhi, 110007, India.
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3
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Du C, Sun P, Cheng X, Zhang L, Wang L, Hu J. QTL mapping of drought-related traits in the hybrids of Populus deltoides 'Danhong'×Populus simonii 'Tongliao1'. BMC PLANT BIOLOGY 2022; 22:238. [PMID: 35545765 PMCID: PMC9092850 DOI: 10.1186/s12870-022-03613-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 04/21/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Poplar trees provide a large amount of wood material, but many parts of the world are arid or semi-arid areas because of insufficient annual precipitation, which seriously affects the growth of poplar trees. Populus simonii 'Tongliao1' shows strong tolerance to stress environments, and Populus deltoides 'Danhong' shows a stronger growth rate in a suitable environment. To identify drought tolerance-related QTLs and genes, an F1 population derived from the cross between the 'Danhong' and 'Tongliao 1' Populus was assessed under drought stress. RESULTS We measured drought-related traits such as the relative height growth, relative diameter growth, leaf senescence number, specific leaf area, and leaf relative water content in the population under control and drought environments. The results showed that drought stress reduced the plant height relative growth, ground diameter relative growth, specific leaf area and leaf relative water content and increased the number of leaf drops. A total of 208 QTLs were identified by QTL mapping analysis, and they consisted of 92, 63 and 53 QTLs under control, drought stress treatment and drought index conditions, respectively. A molecular identification marker for drought tolerance, np2841, which was associated with a QTL (qDLRWC-LG10-1) for relative leaf water content, was initially developed. We mined 187 candidate genes for QTL regions of five traits under a drought environment. The reference genome annotation for Populus trichocarpa and a homologous gene analysis of Arabidopsis thaliana identified two candidate genes, Potri.003G171300 and Potri.012G123900, with significant functions in response to drought stress. We identified five key regulatory genes (Potri.006G273500, Potri.007G111500, Potri.007G111600, Potri.007G111700, and Potri.007G111800) related to drought tolerance through the poplar coexpression network. CONCLUSION In this study, our results indicate that the QTLs can effectively enhance the drought tolerance of poplar. It is a step closer towards unravelling the genetic basis of poplar drought tolerance-related traits, and to providing validated candidate genes and molecular markers for future genetic improvement.
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Affiliation(s)
- Changjian Du
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Pei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100093, China
| | - Xingqi Cheng
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Lei Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Lijuan Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
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Zhuang Y, Manzitto-Tripp EA. Co-expression network analyses of anthocyanin biosynthesis genes in Ruellia (Wild Petunias; Acanthaceae). BMC Ecol Evol 2022; 22:27. [PMID: 35260074 PMCID: PMC8905905 DOI: 10.1186/s12862-021-01955-x] [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: 08/10/2020] [Accepted: 12/22/2021] [Indexed: 11/26/2022] Open
Abstract
Background Anthocyanins are major pigments contributing to flower coloration and as such knowledge of molecular architecture underlying the anthocyanin biosynthetic pathway (ABP) is key to understanding flower color diversification. To identify ABP structural genes and associated regulatory networks, we sequenced 16 transcriptomes generated from 10 species of Ruellia and then conducted co-expression analyses among resulting data. Results Complete coding sequences for 12 candidate structural loci representing eight genes plus nine candidate regulatory loci were assembled. Analysis of non-synonymous/synonymous (dn/ds) mutation rates indicated all identified loci are under purifying selection, suggesting overall selection to prevent the accumulation of deleterious mutations. Additionally, upstream enzymes have lower rates of molecular evolution compared to downstream enzymes. However, site-specific tests of selection yielded evidence for positive selection at several sites, including four in F3'H2 and five in DFR3, and these sites are located in protein binding regions. A species-level phylogenetic tree constructed using a newly implemented hybrid transcriptome–RADseq approach implicates several flower color transitions among the 10 species. We found evidence of both regulatory and structural mutations to F3′5'H in helping to explain the evolution of red flowers from purple-flowered ancestors. Conclusions Sequence comparisons and co-expression analyses of ABP loci revealed that mutations in regulatory loci are likely to play a greater role in flower color transitions in Ruellia compared to mutations in underlying structural genes. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01955-x.
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Affiliation(s)
- Yongbin Zhuang
- Department of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA.,Museum of Natural History, University of Colorado, UCB 350, Boulder, CO, 80309, USA.,College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, China
| | - Erin A Manzitto-Tripp
- Department of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA. .,Museum of Natural History, University of Colorado, UCB 350, Boulder, CO, 80309, USA.
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5
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Motto M, Sahay S. Energy plants (crops): potential natural and future designer plants. HANDBOOK OF BIOFUELS 2022:73-114. [DOI: 10.1016/b978-0-12-822810-4.00004-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Network Analysis of Gene Transcriptions of Arabidopsis thaliana in Spaceflight Microgravity. Genes (Basel) 2021; 12:genes12030337. [PMID: 33668919 PMCID: PMC7996555 DOI: 10.3390/genes12030337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 02/08/2021] [Accepted: 02/23/2021] [Indexed: 02/06/2023] Open
Abstract
The transcriptomic datasets of the plant model organism Arabidopsis thaliana grown in the International Space Station provided by GeneLab have been mined to isolate the impact of spaceflight microgravity on gene expressions related to root growth. A set of computational tools is used to identify the hub genes that respond differently in spaceflight with controlled lighting compared to on the ground. These computational tools based on graph-theoretic approaches are used to infer gene regulatory networks from the transcriptomic datasets. The three main algorithms used for network analyses are Least Absolute Shrinkage and Selection Operator (LASSO), Pearson correlation, and the Hyperlink-Induced Topic Search (HITS) algorithm. Graph-based spectral analyses reveal distinct properties of the spaceflight microgravity networks for the Wassilewskija (WS), Columbia (Col)-0, and mutant phytochromeD (phyD) ecotypes. The set of hub genes that are significantly altered in spaceflight microgravity are mainly involved in cell wall synthesis, protein transport, response to auxin, stress responses, and catabolic processes. Network analysis highlights five important root growth-regulating hub genes that have the highest outdegree distribution in spaceflight microgravity networks. These concerned genes coding for proteins are identified from the Gene Regulatory Networks (GRNs) corresponding to spaceflight total light environment. Furthermore, network analysis uncovers genes that encode nucleotide-diphospho-sugar interconversion enzymes that have higher transcriptional regulation in spaceflight microgravity and are involved in cell wall biosynthesis.
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Takeuchi T, Sears BB, Lindeboom C, Lin YT, Fekaris N, Zienkiewicz K, Zienkiewicz A, Poliner E, Benning C. Chlamydomonas CHT7 Is Required for an Effective Quiescent State by Regulating Nutrient-Responsive Cell Cycle Gene Expression. THE PLANT CELL 2020; 32:1240-1269. [PMID: 32001503 PMCID: PMC7145468 DOI: 10.1105/tpc.19.00628] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 01/07/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
COMPROMISED HYDROLYSIS OF TRIACYLGLYCEROLS7 (CHT7) in Chlamydomonas (Chlamydomonas reinhardtii) was previously shown to affect the transcription of a subset of genes during nitrogen (N)-replete growth and following N refeeding. Here, we show that an extensive derepression of genes involved in DNA metabolism and cell cycle-related processes, as well as downregulation of genes encoding oxidoreductases and nutrient transporters, occurs in the cht7 mutant during N deprivation. Cellular mutant phenotypes are consistent with the observed transcriptome misregulation, as cht7 cells fail to properly arrest growth, nuclear replication, and cell division following N deprivation. Reduction in cht7 colony formation following N refeeding is explained by its compromised viability during N deprivation and by the occurrence of abortive divisions during N refeeding. Surprisingly, the largely unstructured C-terminal half of CHT7 with predicted protein binding domains, but not the canonical CXC DNA binding domain, is essential for the ability of CHT7 to form stable complexes and reverse the cellular phenotypes and transcription levels in the cht7 mutant. Hence, although lacking the presumed DNA binding domain, CHT7 modulates the expression of cell cycle genes in response to N availability, which is essential for establishing an effective quiescent state and the coordinated resumption of growth following N refeeding.
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Affiliation(s)
- Tomomi Takeuchi
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
| | - Barbara B Sears
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
| | - Chase Lindeboom
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824
| | - Yang-Tsung Lin
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
| | - Nicholas Fekaris
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824
| | - Krzysztof Zienkiewicz
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
- Centre of Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, 87-100 Toruń, Poland
| | - Agnieszka Zienkiewicz
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
- Centre of Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, 87-100 Toruń, Poland
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan 48824
| | - Eric Poliner
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
| | - Christoph Benning
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, Michigan 48824
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan 48824
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Comparative Transcriptome Analysis of Different Dendrobium Species Reveals Active Ingredients-Related Genes and Pathways. Int J Mol Sci 2020; 21:ijms21030861. [PMID: 32013237 PMCID: PMC7037882 DOI: 10.3390/ijms21030861] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 02/06/2023] Open
Abstract
Dendrobium is widely used in traditional Chinese medicine, which contains many kinds of active ingredients. In recent years, many Dendrobium transcriptomes have been sequenced. Hence, weighted gene co-expression network analysis (WGCNA) was used with the gene expression profiles of active ingredients to identify the modules and genes that may associate with particular species and tissues. Three kinds of Dendrobium species and three tissues were sampled for RNA-seq to generate a high-quality, full-length transcriptome database. Based on significant changes in gene expression, we constructed co-expression networks and revealed 19 gene modules. Among them, four modules with properties correlating to active ingredients regulation and biosynthesis, and several hub genes were selected for further functional investigation. This is the first time the WGCNA method has been used to analyze Dendrobium transcriptome data. Further excavation of the gene module information will help us to further study the role and significance of key genes, key signaling pathways, and regulatory mechanisms between genes on the occurrence and development of medicinal components of Dendrobium.
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Kim MH, Cho JS, Jeon HW, Sangsawang K, Shim D, Choi YI, Park EJ, Lee H, Ko JH. Wood Transcriptome Profiling Identifies Critical Pathway Genes of Secondary Wall Biosynthesis and Novel Regulators for Vascular Cambium Development in Populus. Genes (Basel) 2019; 10:E690. [PMID: 31500311 PMCID: PMC6770981 DOI: 10.3390/genes10090690] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 09/02/2019] [Accepted: 09/04/2019] [Indexed: 12/23/2022] Open
Abstract
Wood, the most abundant biomass on Earth, is composed of secondary xylem differentiated from vascular cambium. However, the underlying molecular mechanisms of wood formation remain largely unclear. To gain insight into wood formation, we performed a series of wood-forming tissue-specific transcriptome analyses from a hybrid poplar (Populus alba × P. glandulosa, clone BH) using RNA-seq. Together with shoot apex and leaf tissue, cambium and xylem tissues were isolated from vertical stem segments representing a gradient of secondary growth developmental stages (i.e., immature, intermediate, and mature stem). In a comparative transcriptome analysis of the 'developing xylem' and 'leaf' tissue, we could identify critical players catalyzing each biosynthetic step of secondary wall components (e.g., cellulose, xylan, and lignin). Several candidate genes involved in the initiation of vascular cambium formation were found via a co-expression network analysis using abundantly expressed genes in the 'intermediate stem-derived cambium' tissue. We found that transgenic Arabidopsis plants overexpressing the PtrHAM4-1, a GRAS family transcription factor, resulted in a significant increase of vascular cambium development. This phenotype was successfully reproduced in the transgenic poplars overexpressing the PtrHAM4-1. Taken together, our results may serve as a springboard for further research to unravel the molecular mechanism of wood formation, one of the most important biological processes on this planet.
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Affiliation(s)
- Min-Ha Kim
- Department of Plant & Environmental New Resources, Kyung Hee University, Yongin 446-701, Korea.
| | - Jin-Seong Cho
- Department of Plant & Environmental New Resources, Kyung Hee University, Yongin 446-701, Korea.
| | - Hyung-Woo Jeon
- Department of Plant & Environmental New Resources, Kyung Hee University, Yongin 446-701, Korea.
- School of Life and Environmental Sciences, The University of Sydney, Camperdown, NSW 2006, Australia.
| | - Kanidta Sangsawang
- Department of Plant & Environmental New Resources, Kyung Hee University, Yongin 446-701, Korea.
| | - Donghwan Shim
- Korea Forest Research Institute, Suwon 16631, Korea.
| | - Young-Im Choi
- Korea Forest Research Institute, Suwon 16631, Korea.
| | - Eung-Jun Park
- Korea Forest Research Institute, Suwon 16631, Korea.
| | - Hyoshin Lee
- Korea Forest Research Institute, Suwon 16631, Korea.
| | - Jae-Heung Ko
- Department of Plant & Environmental New Resources, Kyung Hee University, Yongin 446-701, Korea.
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10
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Ployet R, Veneziano Labate MT, Regiani Cataldi T, Christina M, Morel M, San Clemente H, Denis M, Favreau B, Tomazello Filho M, Laclau JP, Labate CA, Chaix G, Grima-Pettenati J, Mounet F. A systems biology view of wood formation in Eucalyptus grandis trees submitted to different potassium and water regimes. THE NEW PHYTOLOGIST 2019; 223:766-782. [PMID: 30887522 DOI: 10.1111/nph.15802] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Accepted: 02/28/2019] [Indexed: 05/02/2023]
Abstract
Wood production in fast-growing Eucalyptus grandis trees is highly dependent on both potassium (K) fertilization and water availability but the molecular processes underlying wood formation in response to the combined effects of these two limiting factors remain unknown. E. grandis trees were submitted to four combinations of K-fertilization and water supply. Weighted gene co-expression network analysis and MixOmics-based co-regulation networks were used to integrate xylem transcriptome, metabolome and complex wood traits. Functional characterization of a candidate gene was performed in transgenic E. grandis hairy roots. This integrated network-based approach enabled us to identify meaningful biological processes and regulators impacted by K-fertilization and/or water limitation. It revealed that modules of co-regulated genes and metabolites strongly correlated to wood complex traits are in the heart of a complex trade-off between biomass production and stress responses. Nested in these modules, potential new cell-wall regulators were identified, as further confirmed by the functional characterization of EgMYB137. These findings provide new insights into the regulatory mechanisms of wood formation under stressful conditions, pointing out both known and new regulators co-opted by K-fertilization and/or water limitation that may potentially promote adaptive wood traits.
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Affiliation(s)
- Raphael Ployet
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse III, CNRS, UPS, 31326, Castanet-Tolosan, France
| | - Mônica T Veneziano Labate
- Max Feffer Laboratory for Plant Genetics, Department of Genetics, College of Agriculture 'Luiz de Queiroz', University of São Paulo, Av. Pádua Dias 11, PO Box 09, Piracicaba-SP, 13418-900, Brazil
| | - Thais Regiani Cataldi
- Max Feffer Laboratory for Plant Genetics, Department of Genetics, College of Agriculture 'Luiz de Queiroz', University of São Paulo, Av. Pádua Dias 11, PO Box 09, Piracicaba-SP, 13418-900, Brazil
| | - Mathias Christina
- CIRAD, UMR ECO&SOLS, F-34398, Montpellier, France
- Department of Forest Resource, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias N° 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Marie Morel
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse III, CNRS, UPS, 31326, Castanet-Tolosan, France
| | - Hélène San Clemente
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse III, CNRS, UPS, 31326, Castanet-Tolosan, France
| | - Marie Denis
- CIRAD, UMR AGAP, 34395, Montpellier, Cedex 9, France
- UMR AGAP, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Bénédicte Favreau
- CIRAD, UMR AGAP, 34395, Montpellier, Cedex 9, France
- UMR AGAP, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Mario Tomazello Filho
- Department of Forest Resource, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias N° 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Jean-Paul Laclau
- CIRAD, UMR ECO&SOLS, F-34398, Montpellier, France
- Department of Forest Resource, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias N° 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Carlos Alberto Labate
- Max Feffer Laboratory for Plant Genetics, Department of Genetics, College of Agriculture 'Luiz de Queiroz', University of São Paulo, Av. Pádua Dias 11, PO Box 09, Piracicaba-SP, 13418-900, Brazil
| | - Gilles Chaix
- Department of Forest Resource, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias N° 11, Piracicaba, São Paulo, 13418-900, Brazil
- CIRAD, UMR AGAP, 34395, Montpellier, Cedex 9, France
- UMR AGAP, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Jacqueline Grima-Pettenati
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse III, CNRS, UPS, 31326, Castanet-Tolosan, France
| | - Fabien Mounet
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse III, CNRS, UPS, 31326, Castanet-Tolosan, France
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11
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Furches A, Kainer D, Weighill D, Large A, Jones P, Walker AM, Romero J, Gazolla JGFM, Joubert W, Shah M, Streich J, Ranjan P, Schmutz J, Sreedasyam A, Macaya-Sanz D, Zhao N, Martin MZ, Rao X, Dixon RA, DiFazio S, Tschaplinski TJ, Chen JG, Tuskan GA, Jacobson D. Finding New Cell Wall Regulatory Genes in Populus trichocarpa Using Multiple Lines of Evidence. FRONTIERS IN PLANT SCIENCE 2019; 10:1249. [PMID: 31649710 PMCID: PMC6791931 DOI: 10.3389/fpls.2019.01249] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 09/09/2019] [Indexed: 05/05/2023]
Abstract
Understanding the regulatory network controlling cell wall biosynthesis is of great interest in Populus trichocarpa, both because of its status as a model woody perennial and its importance for lignocellulosic products. We searched for genes with putatively unknown roles in regulating cell wall biosynthesis using an extended network-based Lines of Evidence (LOE) pipeline to combine multiple omics data sets in P. trichocarpa, including gene coexpression, gene comethylation, population level pairwise SNP correlations, and two distinct SNP-metabolite Genome Wide Association Study (GWAS) layers. By incorporating validation, ranking, and filtering approaches we produced a list of nine high priority gene candidates for involvement in the regulation of cell wall biosynthesis. We subsequently performed a detailed investigation of candidate gene GROWTH-REGULATING FACTOR 9 (PtGRF9). To investigate the role of PtGRF9 in regulating cell wall biosynthesis, we assessed the genome-wide connections of PtGRF9 and a paralog across data layers with functional enrichment analyses, predictive transcription factor binding site analysis, and an independent comparison to eQTN data. Our findings indicate that PtGRF9 likely affects the cell wall by directly repressing genes involved in cell wall biosynthesis, such as PtCCoAOMT and PtMYB.41, and indirectly by regulating homeobox genes. Furthermore, evidence suggests that PtGRF9 paralogs may act as transcriptional co-regulators that direct the global energy usage of the plant. Using our extended pipeline, we show multiple lines of evidence implicating the involvement of these genes in cell wall regulatory functions and demonstrate the value of this method for prioritizing candidate genes for experimental validation.
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Affiliation(s)
- Anna Furches
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | - David Kainer
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Deborah Weighill
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | - Annabel Large
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- Oak Ridge Associated Universities (ORAU), Oak Ridge, TN, United States
- Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN, United States
| | - Piet Jones
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | - Angelica M. Walker
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- Oak Ridge Associated Universities (ORAU), Oak Ridge, TN, United States
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States
- Department of Biology, Johns Hopkins University, Baltimore, MD, United States
| | - Jonathon Romero
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | | | - Wayne Joubert
- Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Manesh Shah
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Jared Streich
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Priya Ranjan
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- Department of Plant Sciences, The University of Tennessee Institute of Agriculture, University of Tennessee, Knoxville, TN, United States
| | - Jeremy Schmutz
- Joint Genome Institute, Walnut Creek, CA, United States
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - Nan Zhao
- Department of Plant Sciences, The University of Tennessee Institute of Agriculture, University of Tennessee, Knoxville, TN, United States
| | - Madhavi Z. Martin
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Xiaolan Rao
- BioDiscovery Institute and Department of Biological Sciences, University of North Texas, Denton, TX, United States
| | - Richard A. Dixon
- BioDiscovery Institute and Department of Biological Sciences, University of North Texas, Denton, TX, United States
| | - Stephen DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - Timothy J. Tschaplinski
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Jin-Gui Chen
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Gerald A. Tuskan
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
- *Correspondence: Daniel Jacobson,
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12
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Li H, Huang J, Lu F, Liu Y, Song Y, Sun Y, Zhong J, Huang H, Wang Y, Li S, Lifshitz Y, Lee ST, Kang Z. Impacts of Carbon Dots on Rice Plants: Boosting the Growth and Improving the Disease Resistance. ACS APPLIED BIO MATERIALS 2018; 1:663-672. [DOI: 10.1021/acsabm.8b00345] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
| | | | - Fang Lu
- School of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing 100029, China
| | | | | | | | | | | | - Yong Wang
- College of Life Science and Oceanography, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Shenzhen University, Shenzhen 518060, China
| | - Shuiming Li
- College of Life Science and Oceanography, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Shenzhen University, Shenzhen 518060, China
| | - Yeshayahu Lifshitz
- Department of Materials Science and Engineering, Technion, Israel Institute of Technology, Haifa 3200003, Israel
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13
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Shi R, Wang JP, Lin YC, Li Q, Sun YH, Chen H, Sederoff RR, Chiang VL. Tissue and cell-type co-expression networks of transcription factors and wood component genes in Populus trichocarpa. PLANTA 2017; 245:927-938. [PMID: 28083709 DOI: 10.1007/s00425-016-2640-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 12/09/2016] [Indexed: 05/21/2023]
Abstract
Co-expression networks based on transcriptomes of Populus trichocarpa major tissues and specific cell types suggest redundant control of cell wall component biosynthetic genes by transcription factors in wood formation. We analyzed the transcriptomes of five tissues (xylem, phloem, shoot, leaf, and root) and two wood forming cell types (fiber and vessel) of Populus trichocarpa to assemble gene co-expression subnetworks associated with wood formation. We identified 165 transcription factors (TFs) that showed xylem-, fiber-, and vessel-specific expression. Of these 165 TFs, 101 co-expressed (correlation coefficient, r > 0.7) with the 45 secondary cell wall cellulose, hemicellulose, and lignin biosynthetic genes. Each cell wall component gene co-expressed on average with 34 TFs, suggesting redundant control of the cell wall component gene expression. Co-expression analysis showed that the 101 TFs and the 45 cell wall component genes each has two distinct groups (groups 1 and 2), based on their co-expression patterns. The group 1 TFs (44 members) are predominantly xylem and fiber specific, and are all highly positively co-expressed with the group 1 cell wall component genes (30 members), suggesting their roles as major wood formation regulators. Group 1 TFs include a lateral organ boundary domain gene (LBD) that has the highest number of positively correlated cell wall component genes (36) and TFs (47). The group 2 TFs have 57 members, including 14 vessel-specific TFs, and are generally less correlated with the cell wall component genes. An exception is a vessel-specific basic helix-loop-helix (bHLH) gene that negatively correlates with 20 cell wall component genes, and may function as a key transcriptional suppressor. The co-expression networks revealed here suggest a well-structured transcriptional homeostasis for cell wall component biosynthesis during wood formation.
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Affiliation(s)
- Rui Shi
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA
- Mountain Horticultural Crops Research and Extension Center, Department of Horticulture, North Carolina State University, Mills River, NC, 28759, USA
| | - Jack P Wang
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, 150040, China
| | - Ying-Chung Lin
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, 150040, China
- Department of Life Sciences, College of Life Science, National Taiwan University, Taipei, 10617, Taiwan
| | - Quanzi Li
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
| | - Ying-Hsuan Sun
- Department of Forestry, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hao Chen
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA
| | - Ronald R Sederoff
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA.
| | - Vincent L Chiang
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA.
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, 150040, China.
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC, 27695, USA.
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14
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PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants. Sci Rep 2016; 6:31356. [PMID: 27515999 PMCID: PMC4981870 DOI: 10.1038/srep31356] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 07/18/2016] [Indexed: 01/05/2023] Open
Abstract
Poplar is not only an important resource for the production of paper, timber and other wood-based products, but it has also emerged as an ideal model system for studying woody plants. To better understand the biological processes underlying various traits in poplar, e.g., wood development, a comprehensive functional gene interaction network is highly needed. Here, we constructed a genome-wide functional gene network for poplar (covering ~70% of the 41,335 poplar genes) and created the network web service PoplarGene, offering comprehensive functional interactions and extensive poplar gene functional annotations. PoplarGene incorporates two network-based gene prioritization algorithms, neighborhood-based prioritization and context-based prioritization, which can be used to perform gene prioritization in a complementary manner. Furthermore, the co-functional information in PoplarGene can be applied to other woody plant proteomes with high efficiency via orthology transfer. In addition to poplar gene sequences, the webserver also accepts Arabidopsis reference gene as input to guide the search for novel candidate functional genes in PoplarGene. We believe that PoplarGene (http://bioinformatics.caf.ac.cn/PoplarGene and http://124.127.201.25/PoplarGene) will greatly benefit the research community, facilitating studies of poplar and other woody plants.
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15
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Construction of co-expression network based on natural expression variation of xylogenesis-related transcripts in Eucalyptus tereticornis. Mol Biol Rep 2016; 43:1129-46. [DOI: 10.1007/s11033-016-4046-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2016] [Accepted: 07/20/2016] [Indexed: 12/23/2022]
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16
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Romero-Campero FJ, Perez-Hurtado I, Lucas-Reina E, Romero JM, Valverde F. ChlamyNET: a Chlamydomonas gene co-expression network reveals global properties of the transcriptome and the early setup of key co-expression patterns in the green lineage. BMC Genomics 2016; 17:227. [PMID: 26968660 PMCID: PMC4788957 DOI: 10.1186/s12864-016-2564-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 03/02/2016] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Chlamydomonas reinhardtii is the model organism that serves as a reference for studies in algal genomics and physiology. It is of special interest in the study of the evolution of regulatory pathways from algae to higher plants. Additionally, it has recently gained attention as a potential source for bio-fuel and bio-hydrogen production. The genome of Chlamydomonas is available, facilitating the analysis of its transcriptome by RNA-seq data. This has produced a massive amount of data that remains fragmented making necessary the application of integrative approaches based on molecular systems biology. RESULTS We constructed a gene co-expression network based on RNA-seq data and developed a web-based tool, ChlamyNET, for the exploration of the Chlamydomonas transcriptome. ChlamyNET exhibits a scale-free and small world topology. Applying clustering techniques, we identified nine gene clusters that capture the structure of the transcriptome under the analyzed conditions. One of the most central clusters was shown to be involved in carbon/nitrogen metabolism and signalling, whereas one of the most peripheral clusters was involved in DNA replication and cell cycle regulation. The transcription factors and regulators in the Chlamydomonas genome have been identified in ChlamyNET. The biological processes potentially regulated by them as well as their putative transcription factor binding sites were determined. The putative light regulated transcription factors and regulators in the Chlamydomonas genome were analyzed in order to provide a case study on the use of ChlamyNET. Finally, we used an independent data set to cross-validate the predictive power of ChlamyNET. CONCLUSIONS The topological properties of ChlamyNET suggest that the Chlamydomonas transcriptome posseses important characteristics related to error tolerance, vulnerability and information propagation. The central part of ChlamyNET constitutes the core of the transcriptome where most authoritative hub genes are located interconnecting key biological processes such as light response with carbon and nitrogen metabolism. Our study reveals that key elements in the regulation of carbon and nitrogen metabolism, light response and cell cycle identified in higher plants were already established in Chlamydomonas. These conserved elements are not only limited to transcription factors, regulators and their targets, but also include the cis-regulatory elements recognized by them.
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Affiliation(s)
- Francisco J. Romero-Campero
- />Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla, Reina Mercedes s/n, 41012 Sevilla, Spain
| | - Ignacio Perez-Hurtado
- />Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla, Reina Mercedes s/n, 41012 Sevilla, Spain
| | - Eva Lucas-Reina
- />Instituto de Bioquímica Vegetal y Fotosíntesis, Universidad de Sevilla-CSIC, Americo Vespucio 49, 41092 Sevilla, Spain
| | - Jose M. Romero
- />Instituto de Bioquímica Vegetal y Fotosíntesis, Universidad de Sevilla-CSIC, Americo Vespucio 49, 41092 Sevilla, Spain
| | - Federico Valverde
- />Instituto de Bioquímica Vegetal y Fotosíntesis, Universidad de Sevilla-CSIC, Americo Vespucio 49, 41092 Sevilla, Spain
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17
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Identification of Gene Modules Associated with Low Temperatures Response in Bambara Groundnut by Network-Based Analysis. PLoS One 2016; 11:e0148771. [PMID: 26859686 PMCID: PMC4747569 DOI: 10.1371/journal.pone.0148771] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 01/22/2016] [Indexed: 11/19/2022] Open
Abstract
Bambara groundnut (Vigna subterranea (L.) Verdc.) is an African legume and is a promising underutilized crop with good seed nutritional values. Low temperature stress in a number of African countries at night, such as Botswana, can effect the growth and development of bambara groundnut, leading to losses in potential crop yield. Therefore, in this study we developed a computational pipeline to identify and analyze the genes and gene modules associated with low temperature stress responses in bambara groundnut using the cross-species microarray technique (as bambara groundnut has no microarray chip) coupled with network-based analysis. Analyses of the bambara groundnut transcriptome using cross-species gene expression data resulted in the identification of 375 and 659 differentially expressed genes (p<0.01) under the sub-optimal (23°C) and very sub-optimal (18°C) temperatures, respectively, of which 110 genes are commonly shared between the two stress conditions. The construction of a Highest Reciprocal Rank-based gene co-expression network, followed by its partition using a Heuristic Cluster Chiseling Algorithm resulted in 6 and 7 gene modules in sub-optimal and very sub-optimal temperature stresses being identified, respectively. Modules of sub-optimal temperature stress are principally enriched with carbohydrate and lipid metabolic processes, while most of the modules of very sub-optimal temperature stress are significantly enriched with responses to stimuli and various metabolic processes. Several transcription factors (from MYB, NAC, WRKY, WHIRLY & GATA classes) that may regulate the downstream genes involved in response to stimulus in order for the plant to withstand very sub-optimal temperature stress were highlighted. The identified gene modules could be useful in breeding for low-temperature stress tolerant bambara groundnut varieties.
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18
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Ransbotyn V, Yeger-Lotem E, Basha O, Acuna T, Verduyn C, Gordon M, Chalifa-Caspi V, Hannah MA, Barak S. A combination of gene expression ranking and co-expression network analysis increases discovery rate in large-scale mutant screens for novel Arabidopsis thaliana abiotic stress genes. PLANT BIOTECHNOLOGY JOURNAL 2015; 13:501-13. [PMID: 25370817 DOI: 10.1111/pbi.12274] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 07/29/2014] [Accepted: 08/28/2014] [Indexed: 05/20/2023]
Abstract
As challenges to food security increase, the demand for lead genes for improving crop production is growing. However, genetic screens of plant mutants typically yield very low frequencies of desired phenotypes. Here, we present a powerful computational approach for selecting candidate genes for screening insertion mutants. We combined ranking of Arabidopsis thaliana regulatory genes according to their expression in response to multiple abiotic stresses (Multiple Stress [MST] score), with stress-responsive RNA co-expression network analysis to select candidate multiple stress regulatory (MSTR) genes. Screening of 62 T-DNA insertion mutants defective in candidate MSTR genes, for abiotic stress germination phenotypes yielded a remarkable hit rate of up to 62%; this gene discovery rate is 48-fold greater than that of other large-scale insertional mutant screens. Moreover, the MST score of these genes could be used to prioritize them for screening. To evaluate the contribution of the co-expression analysis, we screened 64 additional mutant lines of MST-scored genes that did not appear in the RNA co-expression network. The screening of these MST-scored genes yielded a gene discovery rate of 36%, which is much higher than that of classic mutant screens but not as high as when picking candidate genes from the co-expression network. The MSTR co-expression network that we created, AraSTressRegNet is publicly available at http://netbio.bgu.ac.il/arnet. This systems biology-based screening approach combining gene ranking and network analysis could be generally applicable to enhancing identification of genes regulating additional processes in plants and other organisms provided that suitable transcriptome data are available.
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Affiliation(s)
- Vanessa Ransbotyn
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel
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19
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Amrine KCH, Blanco-Ulate B, Cantu D. Discovery of core biotic stress responsive genes in Arabidopsis by weighted gene co-expression network analysis. PLoS One 2015; 10:e0118731. [PMID: 25730421 PMCID: PMC4346582 DOI: 10.1371/journal.pone.0118731] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2014] [Accepted: 01/08/2015] [Indexed: 01/26/2023] Open
Abstract
Intricate signal networks and transcriptional regulators translate the recognition of pathogens into defense responses. In this study, we carried out a gene co-expression analysis of all currently publicly available microarray data, which were generated in experiments that studied the interaction of the model plant Arabidopsis thaliana with microbial pathogens. This work was conducted to identify (i) modules of functionally related co-expressed genes that are differentially expressed in response to multiple biotic stresses, and (ii) hub genes that may function as core regulators of disease responses. Using Weighted Gene Co-expression Network Analysis (WGCNA) we constructed an undirected network leveraging a rich curated expression dataset comprising 272 microarrays that involved microbial infections of Arabidopsis plants with a wide array of fungal and bacterial pathogens with biotrophic, hemibiotrophic, and necrotrophic lifestyles. WGCNA produced a network with scale-free and small-world properties composed of 205 distinct clusters of co-expressed genes. Modules of functionally related co-expressed genes that are differentially regulated in response to multiple pathogens were identified by integrating differential gene expression testing with functional enrichment analyses of gene ontology terms, known disease associated genes, transcriptional regulators, and cis-regulatory elements. The significance of functional enrichments was validated by comparisons with randomly generated networks. Network topology was then analyzed to identify intra- and inter-modular gene hubs. Based on high connectivity, and centrality in meta-modules that are clearly enriched in defense responses, we propose a list of 66 target genes for reverse genetic experiments to further dissect the Arabidopsis immune system. Our results show that statistical-based data trimming prior to network analysis allows the integration of expression datasets generated by different groups, under different experimental conditions and biological systems, into a functionally meaningful co-expression network.
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Affiliation(s)
- Katherine C. H. Amrine
- Department of Viticulture and Enology, University of California Davis, Davis, California, United States of America
| | - Barbara Blanco-Ulate
- Department of Viticulture and Enology, University of California Davis, Davis, California, United States of America
| | - Dario Cantu
- Department of Viticulture and Enology, University of California Davis, Davis, California, United States of America
- * E-mail:
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