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Lu Y, Huang J, Liu D, Kong X, Song Y, Jing L. Pangenome Data Analysis Reveals Characteristics of Resistance Gene Analogs Associated with Sclerotinia sclerotiorum Resistance in Sunflower. Life (Basel) 2024; 14:1322. [PMID: 39459622 PMCID: PMC11509514 DOI: 10.3390/life14101322] [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: 08/31/2024] [Revised: 10/10/2024] [Accepted: 10/15/2024] [Indexed: 10/28/2024] Open
Abstract
The sunflower, an important oilseed crop and food source across the world, is susceptible to several pathogens, which cause severe losses in sunflower production. The utilization of genetic resistance is the most economical, effective measure to prevent infectious diseases. Based on the sunflower pangenome, in this study, we explored the variability of resistance gene analogs (RGAs) within the species. According to a comparative analysis of RGA candidates in the sunflower pangenome using the RGAugury pipeline, a total of 1344 RGAs were identified, comprising 1107 conserved, 199 varied, and 38 rare RGAs. We also identified RGAs associated with resistance against Sclerotinia sclerotiorum (S. sclerotiorum) in sunflower at the quantitative trait locus (QTL). A total of 61 RGAs were found to be located at four quantitative trait loci (QTLs). Through a detailed expression analysis of RGAs in one susceptible and two tolerant sunflower inbred lines (ILs) across various time points post inoculation, we discovered that 348 RGAs exhibited differential expression in response to Sclerotinia head rot (SHR), with 17 of these differentially expressed RGAs being situated within the QTL regions. In addition, 15 RGA candidates had gene introgression. Our data provide a better understanding of RGAs, which facilitate genomics-based improvements in disease resistance in sunflower.
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Affiliation(s)
| | | | | | | | | | - Lan Jing
- College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Huhhot 010011, China; (Y.L.); (J.H.); (D.L.); (X.K.); (Y.S.)
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Lai C, Chen L, Zhong X, Tian X, Zhang B, Li H, Zhang G, Wang L, Sun Y, Guo L. Long-term arsenic exposure decreases mice body weight and liver lipid droplets. ENVIRONMENT INTERNATIONAL 2024; 192:109025. [PMID: 39317010 DOI: 10.1016/j.envint.2024.109025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 09/09/2024] [Accepted: 09/18/2024] [Indexed: 09/26/2024]
Abstract
Arsenic (As) is a widespread global pollutant, and there is significant controversy surrounding its complex relationship with obesity, primarily focused on short-term exposure. Recognizing the prolonged nature of dietary arsenic exposure, this study involved feeding mice with arsenic-contained food for 14 months. The results showed that mice exposed to arsenic developed a non-alcoholic fatty liver condition, characterized by a light-yellow hue on the liver surface and various pathological alterations in the liver cells, including enlarged nuclei, cellular necrosis, inflammatory infiltration, dysfunctional mitochondria, and endoplasmic reticulum disorganization. There were also disruptions in biochemistry indices, with a significant increase in total cholesterol (TC) level and a decrease in high-density lipoprotein (HDL) level. However, some contradictory observations occurred, such as a significant decrease in body weight, triglyceride (TG) level, and the numbers of lipid droplets. Several genes related to lipid metabolism were tested, and a model was used to explain these discrepancies. Besides, examinations of the colon revealed compromised intestinal barrier function and signs of inflammation. Fecal 16S rRNA sequencing and pseudo-targeted metabolomics revealed disruptions in internal homeostasis, such as modules, nodes, connections, and lipid-related KEGG pathways. Fecal targeted metabolomics analyses of short-chain fatty acids (SCFAs) and bile acids (BAs) demonstrated a significant upregulation in three primary bile acids (CA, CDCA, TCDCA), four secondary bile acids (TUDCA, DCA, LCA, GUDCA), and total SCFAs level. Oxidative stress and inflammation were also evident. Additionally, based on correlation analysis and mediation analysis, it was assumed that changes in the microbiota (e.g., Dubosiella) can impact the liver metabolites (e.g., TGs) through alterations in fecal metabolites (e.g., LPCs). These findings provide a theoretical reference for the long-term effect of arsenic exposure on liver lipid metabolism.
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Affiliation(s)
- Chengze Lai
- Dongguan Key Laboratory of Public Health Laboratory Science, School of Public Health, Guangdong Medical University, Dongguan 523808, China; The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
| | - Linkang Chen
- Dongguan Key Laboratory of Public Health Laboratory Science, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Xiaoting Zhong
- Dongguan Key Laboratory of Public Health Laboratory Science, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Xianbing Tian
- School of Medical Technology, Guangdong Medical University, Dongguan 523808, China
| | - Bin Zhang
- Dongguan Key Laboratory of Public Health Laboratory Science, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Hao Li
- Dongguan Key Laboratory of Public Health Laboratory Science, School of Public Health, Guangdong Medical University, Dongguan 523808, China
| | - Guiwei Zhang
- Shenzhen Academy of Metrology and Quality Inspection, Shenzhen 518000.China
| | - Liping Wang
- School of Nursing, Guangdong Medical University, Dongguan 523808, China
| | - Yanqin Sun
- Department of Pathology, School of Basic Medical Sciences, Guangdong Medical University, Dongguan 523808, China.
| | - Lianxian Guo
- Dongguan Key Laboratory of Public Health Laboratory Science, School of Public Health, Guangdong Medical University, Dongguan 523808, China; The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China.
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3
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Méndez-Yáñez A, Sáez D, Rodríguez-Arriaza F, Letelier-Naritelli C, Valenzuela-Riffo F, Morales-Quintana L. Involvement of the GH38 Family Exoglycosidase α-Mannosidase in Strawberry Fruit Ripening. Int J Mol Sci 2024; 25:6581. [PMID: 38928287 PMCID: PMC11203768 DOI: 10.3390/ijms25126581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
Exoglycosidase enzymes hydrolyze the N-glycosylations of cell wall enzymes, releasing N-glycans that act as signal molecules and promote fruit ripening. Vesicular exoglycosidase α-mannosidase enzymes of the GH38 family (EC 3.2.1.24; α-man) hydrolyze N-glycans in non-reduced termini. Strawberry fruit (Fragaria × ananassa) is characterized by rapid softening as a result of cell wall modifications during the fruit ripening process. Enzymes acting on cell wall polysaccharides explain the changes in fruit firmness, but α-man has not yet been described in F. × ananassa, meaning that the indirect effects of N-glycan removal on its fruit ripening process are unknown. The present study identified 10 GH38 α-man sequences in the F. × ananassa genome with characteristic conserved domains and key residues. A phylogenetic tree built with the neighbor-joining method and three groups of α-man established, of which group I was classified into three subgroups and group III contained only Poaceae spp. sequences. The real-time qPCR results demonstrated that FaMAN genes decreased during fruit ripening, a trend mirrored by the total enzyme activity from the white to ripe stages. The analysis of the promoter regions of these FaMAN genes was enriched with ripening and phytohormone response elements, and contained cis-regulatory elements related to stress responses to low temperature, drought, defense, and salt stress. This study discusses the relevance of α-man in fruit ripening and how it can be a useful target to prolong fruit shelf life.
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Affiliation(s)
- Angela Méndez-Yáñez
- Multidisciplinary Agroindustry Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Cinco Poniente #1670, Talca 3467987, Chile
| | - Darwin Sáez
- Multidisciplinary Agroindustry Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Cinco Poniente #1670, Talca 3467987, Chile
- Programa de Doctorado en Ciencias Biomédicas, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Cinco Poniente #1670, Talca 3467987, Chile
| | - Francisca Rodríguez-Arriaza
- Multidisciplinary Agroindustry Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Cinco Poniente #1670, Talca 3467987, Chile
| | - Claudio Letelier-Naritelli
- Multidisciplinary Agroindustry Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Cinco Poniente #1670, Talca 3467987, Chile
| | - Felipe Valenzuela-Riffo
- Instituto de Ciencias Biológicas, Universidad de Talca, Campus Talca, Avenida Lircay s/n, Talca 3460000, Chile
| | - Luis Morales-Quintana
- Multidisciplinary Agroindustry Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Cinco Poniente #1670, Talca 3467987, Chile
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Zhang D, Zhao R, Xian G, Kou Y, Ma W. A new model construction based on the knowledge graph for mining elite polyphenotype genes in crops. FRONTIERS IN PLANT SCIENCE 2024; 15:1361716. [PMID: 38571713 PMCID: PMC10987776 DOI: 10.3389/fpls.2024.1361716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 03/04/2024] [Indexed: 04/05/2024]
Abstract
Identifying polyphenotype genes that simultaneously regulate important agronomic traits (e.g., plant height, yield, and disease resistance) is critical for developing novel high-quality crop varieties. Predicting the associations between genes and traits requires the organization and analysis of multi-dimensional scientific data. The existing methods for establishing the relationships between genomic data and phenotypic data can only elucidate the associations between genes and individual traits. However, there are relatively few methods for detecting elite polyphenotype genes. In this study, a knowledge graph for traits regulating-genes was constructed by collecting data from the PubMed database and eight other databases related to the staple food crops rice, maize, and wheat as well as the model plant Arabidopsis thaliana. On the basis of the knowledge graph, a model for predicting traits regulating-genes was constructed by combining the data attributes of the gene nodes and the topological relationship attributes of the gene nodes. Additionally, a scoring method for predicting the genes regulating specific traits was developed to screen for elite polyphenotype genes. A total of 125,591 nodes and 547,224 semantic relationships were included in the knowledge graph. The accuracy of the knowledge graph-based model for predicting traits regulating-genes was 0.89, the precision rate was 0.91, the recall rate was 0.96, and the F1 value was 0.94. Moreover, 4,447 polyphenotype genes for 31 trait combinations were identified, among which the rice polyphenotype gene IPA1 and the A. thaliana polyphenotype gene CUC2 were verified via a literature search. Furthermore, the wheat gene TraesCS5A02G275900 was revealed as a potential polyphenotype gene that will need to be further characterized. Meanwhile, the result of venn diagram analysis between the polyphenotype gene datasets (consists of genes that are predicted by our model) and the transcriptome gene datasets (consists of genes that were differential expression in response to disease, drought or salt) showed approximately 70% and 54% polyphenotype genes were identified in the transcriptome datasets of Arabidopsis and rice, respectively. The application of the model driven by knowledge graph for predicting traits regulating-genes represents a novel method for detecting elite polyphenotype genes.
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Affiliation(s)
- Dandan Zhang
- Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ruixue Zhao
- Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Agricultural Integration Publishing Knowledge Mining and Knowledge Service, National Press and Publication Administration, Beijing, China
| | - Guojian Xian
- Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Yuantao Kou
- Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China
- Key Laboratory of Agricultural Integration Publishing Knowledge Mining and Knowledge Service, National Press and Publication Administration, Beijing, China
| | - Weilu Ma
- Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China
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5
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Wang Y, Jiang C, Zhang X, Yan H, Yin Z, Sun X, Gao F, Zhao Y, Liu W, Han S, Zhang J, Zhang Y, Zhang Z, Zhang H, Li J, Xie X, Zhao Q, Wang X, Ye G, Li J, Ming R, Li Z. Upland rice genomic signatures of adaptation to drought resistance and navigation to molecular design breeding. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:662-677. [PMID: 37909415 PMCID: PMC10893945 DOI: 10.1111/pbi.14215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/31/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
Upland rice is a distinctive drought-aerobic ecotype of cultivated rice highly resistant to drought stress. However, the genetic and genomic basis for the drought-aerobic adaptation of upland rice remains largely unclear due to the lack of genomic resources. In this study, we identified 25 typical upland rice accessions and assembled a high-quality genome of one of the typical upland rice varieties, IRAT109, comprising 384 Mb with a contig N50 of 19.6 Mb. Phylogenetic analysis revealed upland and lowland rice have distinct ecotype differentiation within the japonica subgroup. Comparative genomic analyses revealed that adaptive differentiation of lowland and upland rice is likely attributable to the natural variation of many genes in promoter regions, formation of specific genes in upland rice, and expansion of gene families. We revealed differentiated gene expression patterns in the leaves and roots of the two ecotypes and found that lignin synthesis mediated by the phenylpropane pathway plays an important role in the adaptive differentiation of upland and lowland rice. We identified 28 selective sweeps that occurred during domestication and validated that the qRT9 gene in selective regions can positively regulate drought resistance in rice. Eighty key genes closely associated with drought resistance were appraised for their appreciable potential in drought resistance breeding. Our study enhances the understanding of the adaptation of upland rice and provides a genome navigation map of drought resistance breeding, which will facilitate the breeding of drought-resistant rice and the "blue revolution" in agriculture.
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Affiliation(s)
- Yulong Wang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Conghui Jiang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Institute of Wetland Agriculture and EcologyShandong Academy of Agricultural SciencesJinanShandongChina
| | - Xingtan Zhang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of EducationFujian Agriculture and Forestry UniversityFuzhouFujianChina
- Agricultural Genomics Institute in ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdongChina
| | - Huimin Yan
- Collaborative Innovation Center of Henan Grain Crops, Henan Key Laboratory of Rice BiologyHenan Agricultural UniversityZhengzhouHenanChina
| | - Zhigang Yin
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Xingming Sun
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Fenghua Gao
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Yan Zhao
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Wei Liu
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Shichen Han
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Jingjing Zhang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Yage Zhang
- Sanya Institute of Hainan Academy of Agricultural SciencesSanyaHainanChina
| | - Zhanying Zhang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Hongliang Zhang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Jinjie Li
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Xianzhi Xie
- Institute of Wetland Agriculture and EcologyShandong Academy of Agricultural SciencesJinanShandongChina
| | - Quanzhi Zhao
- Collaborative Innovation Center of Henan Grain Crops, Henan Key Laboratory of Rice BiologyHenan Agricultural UniversityZhengzhouHenanChina
| | - Xiaoning Wang
- Sanya Institute of Hainan Academy of Agricultural SciencesSanyaHainanChina
| | - Guoyou Ye
- Agricultural Genomics Institute in ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdongChina
- Institution International Rice Research InstituteLos BañosLagunaPhilippines
| | - Junzhou Li
- Collaborative Innovation Center of Henan Grain Crops, Henan Key Laboratory of Rice BiologyHenan Agricultural UniversityZhengzhouHenanChina
| | - Ray Ming
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of EducationFujian Agriculture and Forestry UniversityFuzhouFujianChina
| | - Zichao Li
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Sanya Institute of Hainan Academy of Agricultural SciencesSanyaHainanChina
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6
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McKinley LN, Kern RG, Assmann SM, Bevilacqua PC. Flanking Sequence Cotranscriptionally Regulates Twister Ribozyme Activity. Biochemistry 2024; 63:53-68. [PMID: 38134329 DOI: 10.1021/acs.biochem.3c00506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Small nucleolytic ribozymes are RNAs that cleave their own phosphodiester backbone. While proteinaceous enzymes are regulated by a variety of known mechanisms, methods of regulation for ribozymes remain unclear. Twister is one ribozyme class for which many structural and catalytic properties have been elucidated. However, few studies have analyzed the activity of twister ribozymes in the context of a native flanking sequence, even though ribozymes as transcribed in nature do not exist in isolation. Interactions between the ribozyme and its neighboring sequences can induce conformational changes that inhibit self-cleavage, providing a regulatory mechanism that could naturally determine ribozyme activity in vivo and in synthetic applications. To date, eight twister ribozymes have been identified within the staple crop rice (Oryza sativa). Herein, we select several twister ribozymes from rice and show that they are differentially regulated by their flanking sequence using published RNA-seq data sets, structure probing, and cotranscriptional cleavage assays. We found that the Osa 1-2 ribozyme does not interact with its flanking sequences. However, sequences flanking the Osa 1-3 and Osa 1-8 ribozymes form inactive conformations, referred to here as "ribozymogens", that attenuate ribozyme self-cleavage activity. For the Osa 1-3 ribozyme, we show that activity can be rescued upon addition of a complementary antisense oligonucleotide, suggesting ribozymogens can be controlled via external signals. In all, our data provide a plausible mechanism wherein flanking sequence differentially regulates ribozyme activity in vivo. More broadly, the ability to regulate ribozyme behavior locally has potential applications in control of gene expression and synthetic biology.
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Affiliation(s)
- Lauren N McKinley
- Depatment of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Reuben G Kern
- Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Sarah M Assmann
- Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Philip C Bevilacqua
- Depatment of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, United States
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7
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Baruah AR, Bannai H, Meija Y, Kimura A, Ueno H, Koide Y, Kishima Y, Palta J, Kasuga J, Yamamoto MP, Onishi K. Genetics of chilling response at early growth stage in rice: a recessive gene for tolerance and importance of acclimation. AOB PLANTS 2023; 15:plad075. [PMID: 38028749 PMCID: PMC10676198 DOI: 10.1093/aobpla/plad075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/06/2023] [Indexed: 12/01/2023]
Abstract
Low-temperature adaptation in rice is mediated by the ability of a genotype to tolerate chilling temperatures. A genetic locus on chromosome 11 was analysed for chilling tolerance at the plumule stage in rice. The tolerant allele of A58, a japonica landrace in Japan, was inherited as a recessive gene (ctp-1A58), whereas the susceptible alleles from wild rice (Ctp-1W107) and modern variety (Ctp-1HY) were the dominant genes. Another recessive tolerant allele (ctp-1Silewah) was found in a tropical japonica variety (Silewah). Fine-mapping revealed that a candidate gene for the ctp-1 locus encoded a protein similar to the nucleotide-binding domain and leucine-rich repeat (NLR) protein, in which frameshift mutation by a 73 bp-deletion might confer chilling tolerance in ctp-1A58. Analysis of near-isogenic lines demonstrated that ctp-1A58 imparted tolerance effects only at severe chilling temperatures of 0.5 °C and 2 °C, both at plumule and seedling stages. Chilling acclimation treatments at a wide range of temperatures (8 °C-16 °C) for 72 h concealed the susceptible phenotype of Ctp-1W107 and Ctp-1HY. Furthermore, short-term acclimation treatment of 12 h at 8 °C was enough to be fully acclimated. These results suggest that the NLR gene induces a susceptible response upon exposure to severe chilling stress, however, another interacting gene(s) for acclimation response could suppress the maladaptive phenotype caused by the Ctp-1 allele. This study provides new insights for the adaptation and breeding of rice in a low-temperature environment.
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Affiliation(s)
- Akhil Ranjan Baruah
- Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat-13, Assam, India
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
| | - Hiroaki Bannai
- Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan
| | - Yan Meija
- Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan
| | - Ayumi Kimura
- Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan
| | - Haruka Ueno
- Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan
| | - Yohei Koide
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
| | - Yuji Kishima
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
| | - Jiwan Palta
- Department of Horticulture, University of Wisconsin-Madison, 490 Moore Hall, 1575 Linden Drive, Madison, WI 53706, USA
| | - Jun Kasuga
- Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan
| | - Masayuki P Yamamoto
- Faculty of Science, Academic Assembly, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan
| | - Kazumitsu Onishi
- Department of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan
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8
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Zhang Q, Qi Y, Pan H, Tang H, Wang G, Hua X, Wang Y, Lin L, Li Z, Li Y, Yu F, Yu Z, Huang Y, Wang T, Ma P, Dou M, Sun Z, Wang Y, Wang H, Zhang X, Yao W, Wang Y, Liu X, Wang M, Wang J, Deng Z, Xu J, Yang Q, Liu Z, Chen B, Zhang M, Ming R, Zhang J. Genomic insights into the recent chromosome reduction of autopolyploid sugarcane Saccharum spontaneum. Nat Genet 2022; 54:885-896. [PMID: 35654976 DOI: 10.1038/s41588-022-01084-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 04/26/2022] [Indexed: 01/30/2023]
Abstract
Saccharum spontaneum is a founding Saccharum species and exhibits wide variation in ploidy levels. We have assembled a high-quality autopolyploid genome of S. spontaneum Np-X (2n = 4x = 40) into 40 pseudochromosomes across 10 homologous groups, that better elucidates recent chromosome reduction and polyploidization that occurred circa 1.5 million years ago (Mya). One paleo-duplicated chromosomal pair in Saccharum, NpChr5 and NpChr8, underwent fission followed by fusion accompanied by centromeric split around 0.80 Mya. We inferred that Np-X, with x = 10, most likely represents the ancestral karyotype, from which x = 9 and x = 8 evolved. Resequencing of 102 S. spontaneum accessions revealed that S. spontaneum originated in northern India from an x = 10 ancestor, which then radiated into four major groups across the Indian subcontinent, China, and Southeast Asia. Our study suggests new directions for accelerating sugarcane improvement and expands our knowledge of the evolution of autopolyploids.
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Affiliation(s)
- Qing Zhang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yiying Qi
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Haoran Pan
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Haibao Tang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Gang Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xiuting Hua
- Guangxi Key Lab for Sugarcane Biology, Guangxi University, Nanning, China
| | - Yongjun Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Lianyu Lin
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Zhen Li
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yihan Li
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Fan Yu
- Guangxi Key Lab for Sugarcane Biology, Guangxi University, Nanning, China
| | - Zehuai Yu
- Guangxi Key Lab for Sugarcane Biology, Guangxi University, Nanning, China
| | - Yongji Huang
- Institute of Oceanography, Marine Biotechnology Center, Minjiang University, Fuzhou, China
| | - Tianyou Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Panpan Ma
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Meijie Dou
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | | | - Yibin Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hengbo Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xingtan Zhang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wei Yao
- Guangxi Key Lab for Sugarcane Biology, Guangxi University, Nanning, China
| | - Yuntong Wang
- Biomarker Technologies Corporation, Beijing, China
| | - Xinlong Liu
- Yunnan Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Kaiyuan, China
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jianping Wang
- Department of Agronomy, University of Florida, Gainesville, FL, USA
| | - Zuhu Deng
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jingsheng Xu
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qinghui Yang
- Sugarcane Research Institute, Yunnan Agricultural University, Kunming, China
| | - ZhongJian Liu
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Baoshan Chen
- Guangxi Key Lab for Sugarcane Biology, Guangxi University, Nanning, China
| | - Muqing Zhang
- Guangxi Key Lab for Sugarcane Biology, Guangxi University, Nanning, China
| | - Ray Ming
- Department of Plant Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Jisen Zhang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Sugarcane Biology and Genetic Breeding, National Engineering Research Center for Sugarcane, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
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9
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Tay Fernandez CG, Nestor BJ, Danilevicz MF, Gill M, Petereit J, Bayer PE, Finnegan PM, Batley J, Edwards D. Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species. Int J Mol Sci 2022; 23:2671. [PMID: 35269811 PMCID: PMC8910360 DOI: 10.3390/ijms23052671] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/21/2022] [Accepted: 02/21/2022] [Indexed: 02/01/2023] Open
Abstract
Pangenomes are a rich resource to examine the genomic variation observed within a species or genera, supporting population genetics studies, with applications for the improvement of crop traits. Major crop species such as maize (Zea mays), rice (Oryza sativa), Brassica (Brassica spp.), and soybean (Glycine max) have had pangenomes constructed and released, and this has led to the discovery of valuable genes associated with disease resistance and yield components. However, pangenome data are not available for many less prominent crop species that are currently under-utilised. Despite many under-utilised species being important food sources in regional populations, the scarcity of genomic data for these species hinders their improvement. Here, we assess several under-utilised crops and review the pangenome approaches that could be used to build resources for their improvement. Many of these under-utilised crops are cultivated in arid or semi-arid environments, suggesting that novel genes related to drought tolerance may be identified and used for introgression into related major crop species. In addition, we discuss how previously collected data could be used to enrich pangenome functional analysis in genome-wide association studies (GWAS) based on studies in major crops. Considering the technological advances in genome sequencing, pangenome references for under-utilised species are becoming more obtainable, offering the opportunity to identify novel genes related to agro-morphological traits in these species.
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Affiliation(s)
| | | | | | | | | | | | | | | | - David Edwards
- School of Biological Sciences, The University of Western Australia, Perth, WA 6009, Australia; (C.G.T.F.); (B.J.N.); (M.F.D.); (M.G.); (J.P.); (P.E.B.); (P.M.F.); (J.B.)
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10
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Tay Fernandez CG, Nestor BJ, Danilevicz MF, Marsh JI, Petereit J, Bayer PE, Batley J, Edwards D. Expanding Gene-Editing Potential in Crop Improvement with Pangenomes. Int J Mol Sci 2022; 23:ijms23042276. [PMID: 35216392 PMCID: PMC8879065 DOI: 10.3390/ijms23042276] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 02/01/2023] Open
Abstract
Pangenomes aim to represent the complete repertoire of the genome diversity present within a species or cohort of species, capturing the genomic structural variance between individuals. This genomic information coupled with phenotypic data can be applied to identify genes and alleles involved with abiotic stress tolerance, disease resistance, and other desirable traits. The characterisation of novel structural variants from pangenomes can support genome editing approaches such as Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR associated protein Cas (CRISPR-Cas), providing functional information on gene sequences and new target sites in variant-specific genes with increased efficiency. This review discusses the application of pangenomes in genome editing and crop improvement, focusing on the potential of pangenomes to accurately identify target genes for CRISPR-Cas editing of plant genomes while avoiding adverse off-target effects. We consider the limitations of applying CRISPR-Cas editing with pangenome references and potential solutions to overcome these limitations.
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11
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Yang L, Zhao M, Sha G, Sun Q, Gong Q, Yang Q, Xie K, Yuan M, Mortimer JC, Xie W, Wei T, Kang Z, Li G. The genome of the rice variety LTH provides insight into its universal susceptibility mechanism to worldwide rice blast fungal strains. Comput Struct Biotechnol J 2022; 20:1012-1026. [PMID: 35242291 PMCID: PMC8866493 DOI: 10.1016/j.csbj.2022.01.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/30/2022] [Accepted: 01/30/2022] [Indexed: 12/13/2022] Open
Abstract
The widely used rice variety Lijiangxintuanheigu (LTH) shows a universal susceptibility to thousands of Magnaporthe oryzae isolates, the causal agent of devastating rice blast, making LTH an ideal line in resistance (R) gene cloning. However, the underlying genetic mechanism of the universal susceptibility has not been fully revealed because of the lack of a high-quality genome. Here, we took a genomic approach together with experimental assays to investigate LTH’s universal susceptibility to rice blast. Using Nanopore long reads, we assembled a chromosome-level genome. Millions of genomic variants were detected by comparing LTH with 10 other rice varieties, of which large-effect variants could affect plant immunity. Gene family analyses show that the number of R genes and leucine-rich repeat receptor-like protein kinase (LRR-RLK)-encoding genes decrease significantly in LTH. Rice blast resistance genes called Pi genes are either absent or disrupted by genomic variations. Additionally, residual R genes of LTH are likely under weak pathogen selection pressure, and other plant defense-related genes are weakly induced by rice blast. In contrast, the pattern-triggered immunity (PTI) of LTH is normal, as demonstrated by experimental assays. Therefore, we conclude that weak effector-trigger immunity (ETI)-mediated primarily by Pi genes but not PTI results in the universal susceptibility of LTH to rice blast. The attenuated ETI of LTH may be also associated with reduced numbers of R genes and LRR-RLKs, and minimally functional residual defense-related genes. Finally, we demonstrate the use of the LTH genome by rapid cloning of the Pi gene Piak from a resistant variety.
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Affiliation(s)
- Lei Yang
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Mengfei Zhao
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Gan Sha
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Qiping Sun
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Qiuwen Gong
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Qun Yang
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Kabin Xie
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Meng Yuan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Jenny C. Mortimer
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, SA, Australia
| | - Weibo Xie
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Tong Wei
- Department of Plant Pathology and the Genome Center, University of California, Davis, CA 95616, USA
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Guotian Li
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, the Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China
- Corresponding author at: State Key Laboratory of Agricultural Microbiology, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China.
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12
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Jha TB. Karyotype diversity in cultivated and wild Indian rice through EMA-based chromosome analysis. J Genet 2021. [DOI: 10.1007/s12041-021-01332-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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13
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Song JM, Xie WZ, Wang S, Guo YX, Koo DH, Kudrna D, Gong C, Huang Y, Feng JW, Zhang W, Zhou Y, Zuccolo A, Long E, Lee S, Talag J, Zhou R, Zhu XT, Yuan D, Udall J, Xie W, Wing RA, Zhang Q, Poland J, Zhang J, Chen LL. Two gap-free reference genomes and a global view of the centromere architecture in rice. MOLECULAR PLANT 2021; 14:1757-1767. [PMID: 34171480 DOI: 10.1016/j.molp.2021.06.018] [Citation(s) in RCA: 139] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/16/2021] [Accepted: 06/22/2021] [Indexed: 05/04/2023]
Abstract
Rice (Oryza sativa), a major staple throughout the world and a model system for plant genomics and breeding, was the first crop genome sequenced almost two decades ago. However, reference genomes for all higher organisms to date contain gaps and missing sequences. Here, we report the assembly and analysis of gap-free reference genome sequences for two elite O. sativa xian/indica rice varieties, Zhenshan 97 and Minghui 63, which are being used as a model system for studying heterosis and yield. Gap-free reference genomes provide the opportunity for a global view of the structure and function of centromeres. We show that all rice centromeric regions share conserved centromere-specific satellite motifs with different copy numbers and structures. In addition, the similarity of CentO repeats in the same chromosome is higher than across chromosomes, supporting a model of local expansion and homogenization. Both genomes have over 395 non-TE genes located in centromere regions, of which ∼41% are actively transcribed. Two large structural variants at the end of chromosome 11 affect the copy number of resistance genes between the two genomes. The availability of the two gap-free genomes lays a solid foundation for further understanding genome structure and function in plants and breeding climate-resilient varieties.
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Affiliation(s)
- Jia-Ming Song
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; College of Life Science and Technology, Guangxi University, Nanning 530004, China
| | - Wen-Zhao Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Shuo Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yi-Xiong Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Dal-Hoe Koo
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Dave Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Chenbo Gong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yicheng Huang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jia-Wu Feng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenhui Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yong Zhou
- Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Andrea Zuccolo
- Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Evan Long
- Plant and Wildlife Science Department, Brigham Young University, Provo, UT 84602, USA
| | - Seunghee Lee
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Jayson Talag
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Run Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xi-Tong Zhu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Daojun Yuan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Joshua Udall
- Plant and Wildlife Science Department, Brigham Young University, Provo, UT 84602, USA
| | - Weibo Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031 Laguna, Philippines
| | - Qifa Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jesse Poland
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.
| | - Jianwei Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Ling-Ling Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; College of Life Science and Technology, Guangxi University, Nanning 530004, China.
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14
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Genome-Wide Association Study of QTLs Conferring Resistance to Bacterial Leaf Streak in Rice. PLANTS 2021; 10:plants10102039. [PMID: 34685848 PMCID: PMC8541590 DOI: 10.3390/plants10102039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/18/2021] [Accepted: 09/22/2021] [Indexed: 11/16/2022]
Abstract
Bacterial leaf streak (BLS) is a devastating rice disease caused by the bacterial pathogen, Xanthomonas oryzae pv. oryzicola (Xoc), which can result in severe damage to rice production worldwide. Based on a total of 510 rice accessions, trialed in two seasons and using six different multi-locus GWAS methods (mrMLM, ISIS EM-BLASSO, pLARmEB, FASTmrMLM, FASTmrEMMA and pKWmEB), 79 quantitative trait nucleotides (QTNs) reflecting 69 QTLs for BLS resistance were identified (LOD > 3). The QTNs were distributed on all chromosomes, with the most distributed on chromosome 11, followed by chromosomes 1 and 5. Each QTN had an additive effect of 0.20 (cm) and explained, on average, 2.44% of the phenotypic variance, varying from 0.00–0.92 (cm) and from 0.00–9.86%, respectively. Twenty-five QTNs were detected by at least two methods. Among them, qnBLS11.17 was detected by as many as five methods. Most of the QTNs showed a significant interaction with their environment, but no QTNs were detected in both seasons. By defining the QTL range for each QTN according to the LD half-decay distance, a total of 848 candidate genes were found for nine top QTNs. Among them, more than 10% were annotated to be related to biotic stress resistance, and five showed a significant response to Xoc infection. Our results could facilitate the in-depth study and marker-assisted improvement of rice resistance to BLS.
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15
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Villacastin AJ, Adams KS, Boonjue R, Rushton PJ, Han M, Shen JQ. Dynamic differential evolution schemes of WRKY transcription factors in domesticated and wild rice. Sci Rep 2021; 11:14887. [PMID: 34290268 PMCID: PMC8295372 DOI: 10.1038/s41598-021-94109-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/05/2021] [Indexed: 01/30/2023] Open
Abstract
WRKY transcription factors play key roles in stress responses, growth, and development. We previously reported on the evolution of WRKYs from unicellular green algae to land plants. To address recent evolution events, we studied three domesticated and eight wild species in the genus Oryza, an ideal model due to its long history of domestication, economic importance, and central role as a model system. We have identified prevalence of Group III WRKYs despite differences in breeding of cultivated and wild species. Same groups of WRKY genes tend to cluster together, suggesting recent, multiple duplication events. Duplications followed by divergence may result in neofunctionalizations of co-expressed WRKY genes that finely tune the regulation of target genes in a same metabolic or response pathway. WRKY genes have undergone recent rearrangements to form novel genes. Group Ib WRKYs, unique to AA genome type Oryza species, are derived from Group III genes dated back to 6.76 million years ago. Gene tree reconciliation analysis with the species tree revealed details of duplication and loss events in the 11 genomes. Selection analysis on single copy orthologs reveals the highly conserved nature of the WRKY domain and clusters of fast evolving sites under strong positive selection pressure. Also, the numbers of single copy orthologs under positive or negative selection almost evenly split. Our results provide valuable insights into the preservation and diversification of an important gene family under strong selective pressure for biotechnological improvements of the world's most valued food crop.
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Affiliation(s)
- Anne J Villacastin
- School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Keeley S Adams
- School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Rin Boonjue
- School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Paul J Rushton
- School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Mira Han
- School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Jeffery Q Shen
- School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154, USA.
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16
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Wei C, Wang Z, Wang J, Teng J, Shen S, Xiao Q, Bao S, Feng Y, Zhang Y, Li Y, Sun S, Yue Y, Wu C, Wang Y, Zhou T, Xu W, Yu J, Wang L, Wang J. Conversion between 100-million-year-old duplicated genes contributes to rice subspecies divergence. BMC Genomics 2021; 22:460. [PMID: 34147070 PMCID: PMC8214281 DOI: 10.1186/s12864-021-07776-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 06/03/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Duplicated gene pairs produced by ancient polyploidy maintain high sequence similarity over a long period of time and may result from illegitimate recombination between homeologous chromosomes. The genomes of Asian cultivated rice Oryza sativa ssp. indica (XI) and Oryza sativa ssp. japonica (GJ) have recently been updated, providing new opportunities for investigating ongoing gene conversion events and their impact on genome evolution. RESULTS Using comparative genomics and phylogenetic analyses, we evaluated gene conversion rates between duplicated genes produced by polyploidization 100 million years ago (mya) in GJ and XI. At least 5.19-5.77% of genes duplicated across the three rice genomes were affected by whole-gene conversion after the divergence of GJ and XI at ~ 0.4 mya, with more (7.77-9.53%) showing conversion of only portions of genes. Independently converted duplicates surviving in the genomes of different subspecies often use the same donor genes. The ongoing gene conversion frequency was higher near chromosome termini, with a single pair of homoeologous chromosomes, 11 and 12, in each rice genome being most affected. Notably, ongoing gene conversion has maintained similarity between very ancient duplicates, provided opportunities for further gene conversion, and accelerated rice divergence. Chromosome rearrangements after polyploidization are associated with ongoing gene conversion events, and they directly restrict recombination and inhibit duplicated gene conversion between homeologous regions. Furthermore, we found that the converted genes tended to have more similar expression patterns than nonconverted duplicates. Gene conversion affects biological functions associated with multiple genes, such as catalytic activity, implying opportunities for interaction among members of large gene families, such as NBS-LRR disease-resistance genes, contributing to the occurrence of the gene conversion. CONCLUSION Duplicated genes in rice subspecies generated by grass polyploidization ~ 100 mya remain affected by gene conversion at high frequency, with important implications for the divergence of rice subspecies.
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Affiliation(s)
- Chendan Wei
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Zhenyi Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Jianyu Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Jia Teng
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Shaoqi Shen
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Qimeng Xiao
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Shoutong Bao
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yishan Feng
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yan Zhang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yuxian Li
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Sangrong Sun
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yuanshuai Yue
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Chunyang Wu
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yanli Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Tianning Zhou
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Wenbo Xu
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Jigao Yu
- University of Chinese Academy of Sciences, Beijing, 100049, China.,State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Science, Beijing, 100093, China
| | - Li Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China.
| | - Jinpeng Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Science, Beijing, 100093, China.
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17
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A chromosome-level genome assembly of the wild rice Oryza rufipogon facilitates tracing the origins of Asian cultivated rice. SCIENCE CHINA-LIFE SCIENCES 2020; 64:282-293. [PMID: 32737856 DOI: 10.1007/s11427-020-1738-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 05/19/2020] [Indexed: 01/15/2023]
Abstract
Oryza rufipogon Griff. is a wild progenitor of the Asian cultivated rice Oryza sativa. To better understand the genomic diversity of the wild rice, high-quality reference genomes of O. rufipogon populations are needed, which also facilitate utilization of the wild genetic resources in rice breeding. In this study, we generated a chromosome-level genome assembly of O. rufipogon using a combination of short-read sequencing, single-molecule sequencing, BioNano and Hi-C platforms. The genome sequence (399.8 Mb) was assembled into 46 scaffolds on the 12 chromosomes, with contig N50 and scaffold N50 of 13.2 Mb and 20.3 Mb, respectively. The genome contains 36,520 protein-coding genes, and 49.37% of the genome consists of repetitive elements. The genome has strong synteny with those of the O. sativa subspecies indica and japonica, but containing some large structural variations. Evolutionary analysis unveiled the polyphyletic origins of O. sativa, in which the japonica and indica genome formations involved different divergent O. rufipogon (including O. nivara) lineages, accompanied by introgression of genomic regions between japonica and indica. This high-quality reference genome provides insight on the genome evolution of the wild rice and the origins of the O. sativa subspecies, and valuable information for basic research and rice breeding.
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Dolatabadian A, Bayer PE, Tirnaz S, Hurgobin B, Edwards D, Batley J. Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:969-982. [PMID: 31553100 PMCID: PMC7061875 DOI: 10.1111/pbi.13262] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 08/30/2019] [Accepted: 09/13/2019] [Indexed: 05/18/2023]
Abstract
Methods based on single nucleotide polymorphism (SNP), copy number variation (CNV) and presence/absence variation (PAV) discovery provide a valuable resource to study gene structure and evolution. However, as a result of these structural variations, a single reference genome is unable to cover the entire gene content of a species. Therefore, pangenomics analysis is needed to ensure that the genomic diversity within a species is fully represented. Brassica napus is one of the most important oilseed crops in the world and exhibits variability in its resistance genes across different cultivars. Here, we characterized resistance gene distribution across 50 B. napus lines. We identified a total of 1749 resistance gene analogs (RGAs), of which 996 are core and 753 are variable, 368 of which are not present in the reference genome (cv. Darmor-bzh). In addition, a total of 15 318 SNPs were predicted within 1030 of the RGAs. The results showed that core R-genes harbour more SNPs than variable genes. More nucleotide binding site-leucine-rich repeat (NBS-LRR) genes were located in clusters than as singletons, with variable genes more likely to be found in clusters. We identified 106 RGA candidates linked to blackleg resistance quantitative trait locus (QTL). This study provides a better understanding of resistance genes to target for genomics-based improvement and improved disease resistance.
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Affiliation(s)
- Aria Dolatabadian
- UWA School of Biological Sciences and the UWA Institute of AgricultureFaculty of ScienceThe University of Western AustraliaCrawleyWAAustralia
| | - Philipp E. Bayer
- UWA School of Biological Sciences and the UWA Institute of AgricultureFaculty of ScienceThe University of Western AustraliaCrawleyWAAustralia
| | - Soodeh Tirnaz
- UWA School of Biological Sciences and the UWA Institute of AgricultureFaculty of ScienceThe University of Western AustraliaCrawleyWAAustralia
| | - Bhavna Hurgobin
- UWA School of Biological Sciences and the UWA Institute of AgricultureFaculty of ScienceThe University of Western AustraliaCrawleyWAAustralia
| | - David Edwards
- UWA School of Biological Sciences and the UWA Institute of AgricultureFaculty of ScienceThe University of Western AustraliaCrawleyWAAustralia
| | - Jacqueline Batley
- UWA School of Biological Sciences and the UWA Institute of AgricultureFaculty of ScienceThe University of Western AustraliaCrawleyWAAustralia
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Danilevicz MF, Tay Fernandez CG, Marsh JI, Bayer PE, Edwards D. Plant pangenomics: approaches, applications and advancements. CURRENT OPINION IN PLANT BIOLOGY 2020; 54:18-25. [PMID: 31982844 DOI: 10.1016/j.pbi.2019.12.005] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/15/2019] [Accepted: 12/18/2019] [Indexed: 05/05/2023]
Abstract
With the assembly of increasing numbers of plant genomes, it is becoming accepted that a single reference assembly does not reflect the gene diversity of a species. The production of pangenomes, which reflect the structural variation and polymorphisms in genomes, enables in depth comparisons of variation within species or higher taxonomic groups. In this review, we discuss the current and emerging approaches for pangenome assembly, analysis and visualisation. In addition, we consider the potential of pangenomes for applied crop improvement, evolutionary and biodiversity studies. To fully exploit the value of pangenomes it is important to integrate broad information such as phenotypic, environmental, and expression data to gain insights into the role of variable regions within genomes.
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Affiliation(s)
- Monica Furaste Danilevicz
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA, Australia
| | | | - Jacob Ian Marsh
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA, Australia
| | - Philipp Emanuel Bayer
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA, Australia
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA, Australia.
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Mizuno H, Katagiri S, Kanamori H, Mukai Y, Sasaki T, Matsumoto T, Wu J. Evolutionary dynamics and impacts of chromosome regions carrying R-gene clusters in rice. Sci Rep 2020; 10:872. [PMID: 31964985 PMCID: PMC6972905 DOI: 10.1038/s41598-020-57729-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 01/06/2020] [Indexed: 11/17/2022] Open
Abstract
To elucidate R-gene evolution, we compared the genomic compositions and structures of chromosome regions carrying R-gene clusters among cultivated and wild rice species. Map-based sequencing and gene annotation of orthologous genomic regions (1.2 to 1.9 Mb) close to the terminal end of the long arm of rice chromosome 11 revealed R-gene clusters within six cultivated and ancestral wild rice accessions. NBS-LRR R-genes were much more abundant in Asian cultivated rice (O. sativa L.) than in its ancestors, indicating that homologs of functional genes involved in the same pathway likely increase in number because of tandem duplication of chromosomal segments and were selected during cultivation. Phylogenetic analysis using amino acid sequences indicated that homologs of paired Pikm1–Pikm2 (NBS-LRR) genes conferring rice-blast resistance were likely conserved among all cultivated and wild rice species we examined, and the homolog of Xa3/Xa26 (LRR-RLK) conferring bacterial blight resistance was lacking only in Kasalath.
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Affiliation(s)
- Hiroshi Mizuno
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization, 1-2, Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan
| | - Satoshi Katagiri
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization, 1-2, Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan
| | - Hiroyuki Kanamori
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization, 1-2, Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan
| | - Yoshiyuki Mukai
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization, 1-2, Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan
| | - Takuji Sasaki
- Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya-ku, Tokyo, 156-0054, Japan
| | - Takashi Matsumoto
- Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya-ku, Tokyo, 156-0054, Japan
| | - Jianzhong Wu
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization, 1-2, Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan.
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Bayer PE, Golicz AA, Tirnaz S, Chan CK, Edwards D, Batley J. Variation in abundance of predicted resistance genes in the Brassica oleracea pangenome. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:789-800. [PMID: 30230187 PMCID: PMC6419861 DOI: 10.1111/pbi.13015] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 08/16/2018] [Accepted: 09/14/2018] [Indexed: 05/19/2023]
Abstract
Brassica oleracea is an important agricultural species encompassing many vegetable crops including cabbage, cauliflower, broccoli and kale; however, it can be susceptible to a variety of fungal diseases such as clubroot, blackleg, leaf spot and downy mildew. Resistance to these diseases is meditated by specific disease resistance genes analogs (RGAs) which are differently distributed across B. oleracea lines. The sequenced reference cultivar does not contain all B. oleracea genes due to gene presence/absence variation between individuals, which makes it necessary to search for RGA candidates in the B. oleracea pangenome. Here we present a comparative analysis of RGA candidates in the pangenome of B. oleracea. We show that the presence of RGA candidates differs between lines and suggests that in B. oleracea, SNPs and presence/absence variation drive RGA diversity using separate mechanisms. We identified 59 RGA candidates linked to Sclerotinia, clubroot, and Fusarium wilt resistance QTL, and these findings have implications for crop breeding in B. oleracea, which may also be applicable in other crops species.
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Affiliation(s)
- Philipp E. Bayer
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Agnieszka A. Golicz
- Plant Molecular Biology and Biotechnology LaboratoryFaculty of Veterinary and Agricultural SciencesUniversity of MelbourneMelbourneVic.Australia
| | - Soodeh Tirnaz
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Chon‐Kit Kenneth Chan
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
- Australian Genome Research FacilityMelbourneVic.Australia
| | - David Edwards
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Jacqueline Batley
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
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Prathi NB, Palit P, Madhu P, M R, Laha GS, Balachandran SM, Madhav MS, Sundaram RM, Mangrauthia SK. Proteomic and transcriptomic approaches to identify resistance and susceptibility related proteins in contrasting rice genotypes infected with fungal pathogen Rhizoctonia solani. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2018; 130:258-266. [PMID: 30029184 DOI: 10.1016/j.plaphy.2018.07.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 07/10/2018] [Accepted: 07/10/2018] [Indexed: 05/05/2023]
Abstract
The devastating sheath blight disease caused by Rhizoctonia solani Kuhn (teleomorph: Thanatephorus cucumeris) causes major yield loss in most rice growing regions of the world. In this study, two moderately tolerant and four susceptible genotypes of rice were selected for R. solani induced proteome analysis using two-dimensional polyacrylamide gel electrophoresis. Forty five differentially expressed proteins (DEPs) were identified and analyzed by Mass Spectrometry. Based on their functions, these proteins were classified into different groups, viz., photosynthesis, resistance and pathogenesis, stress, cell wall metabolism and cytoskeleton development associated proteins, and hypothetical or uncharacterized proteins. Expression of 14 genes encoding DEPs was analyzed by quantitative PCR which showed consistency in transcripts and genes expression pattern. Furthermore, the expression of 16 other genes involved in diverse biological functions was analyzed. Up-regulation of these genes in the tolerant genotype Pankaj during sheath blight disease suggested efficient genetic regulation of this cultivar under stress. Also, expression analysis of conserved microRNAs (miRNAs) and their target genes revealed important role of miRNAs in post-transcriptional gene regulation during development of rice sheath blight disease. Genome-wide discovery of miRNAs and further characterization of DEPs and genes will help in better understanding of the molecular events during sheath blight disease development in rice.
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Affiliation(s)
| | - Paramita Palit
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, India
| | - P Madhu
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India
| | - Ramesh M
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India
| | - G S Laha
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India
| | - S M Balachandran
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India
| | - M Sheshu Madhav
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India
| | - R M Sundaram
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, 500030, India
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Phylogenetic analyses and in-seedling expression of ammonium and nitrate transporters in wheat. Sci Rep 2018; 8:7082. [PMID: 29728590 PMCID: PMC5935732 DOI: 10.1038/s41598-018-25430-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 04/18/2018] [Indexed: 02/03/2023] Open
Abstract
Plants deploy several ammonium transporter (AMT) and nitrate transporter (NRT) genes to acquire NH4+ and NO3− from the soil into the roots and then transport them to other plant organs. Coding sequences of wheat genes obtained from ENSEMBL were aligned to known AMT and NRT sequences of Arabidopsis, barley, maize, rice, and wheat to retrieve homologous genes. Bayesian phylogenetic relationships among these genes showed distinct classification of sequences with significant homology to NRT1, NRT2, and NRT3 (NAR2). Inter-species gene duplication analysis showed that eight AMT and 77 NRT genes were orthologous to the AMT and NRT genes of aforementioned plant species. Expression patterns of these genes were studied via whole transcriptome sequencing of 21-day old seedlings of five spring wheat lines. Eight AMT and 52 NRT genes were differentially expressed between root and shoot; and 131 genes did not express neither in root nor in shoot of 21-day old seedlings. Homeologous genes in the A, B, and D genomes, characterized by high sequence homology, revealed that their counterparts exhibited different expression patterns. This complement and evolutionary relationship of wheat AMT and NRT genes is expected to help in development of wheat germplasm with increased efficiency in nitrogen uptake and usage.
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Dilla-Ermita CJ, Tandayu E, Juanillas VM, Detras J, Lozada DN, Dwiyanti MS, Vera Cruz C, Mbanjo EGN, Ardales E, Diaz MG, Mendioro M, Thomson MJ, Kretzschmar T. Genome-wide Association Analysis Tracks Bacterial Leaf Blight Resistance Loci In Rice Diverse Germplasm. RICE (NEW YORK, N.Y.) 2017; 10:8. [PMID: 28321828 PMCID: PMC5359197 DOI: 10.1186/s12284-017-0147-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 02/23/2017] [Indexed: 05/19/2023]
Abstract
BACKGROUND A range of resistance loci against different races of Xanthomonas oryzae pv. oryzae (Xoo), the pathogen causing bacterial blight (BB) disease of rice, have been discovered and characterized. Several have been deployed in modern varieties, however, due to rapid evolution of Xoo, a number have already become ineffective. The continuous "arms race" between Xoo and rice makes it imperative to discover new resistance loci to enable durable deployment of multiple resistance genes in modern breeding lines. Rice diversity panels can be exploited as reservoirs of useful genetic variation for bacterial blight (BB) resistance. This study was conducted to identify loci associated to BB resistance, new genetic donors and useful molecular markers for marker-assisted breeding. RESULTS A genome-wide association study (GWAS) of BB resistance using a diverse panel of 285 rice accessions was performed to identify loci that are associated with resistance to nine Xoo strains from the Philippines, representative of eight global races. Single nucleotide polymorphisms (SNPs) associated with differential resistance were identified in the diverse panel and a subset of 198 indica accessions. Strong associations were found for novel SNPs linked with known bacterial blight resistance Xa genes, from which high utility markers for tracking and selection of resistance genes in breeding programs were designed. Furthermore, significant associations of SNPs in chromosomes 6, 9, 11, and 12 did not overlap with known resistance loci and hence might prove to be novel sources of resistance. Detailed analysis revealed haplotypes that correlated with resistance and analysis of putative resistance alleles identified resistant genotypes as potential donors of new resistance genes. CONCLUSIONS The results of the GWAS validated known genes underlying resistance and identified novel loci that provide useful targets for further investigation. SNP markers and genetic donors identified in this study will help plant breeders in improving and diversifying resistance to BB.
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Affiliation(s)
- Christine Jade Dilla-Ermita
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Erwin Tandayu
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Venice Margarette Juanillas
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Jeffrey Detras
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Dennis Nicuh Lozada
- Crop, Soil, and Environmental Science, University of Arkansas, Fayettevile, AR, USA
| | - Maria Stefanie Dwiyanti
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Casiana Vera Cruz
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Edwige Gaby Nkouaya Mbanjo
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Edna Ardales
- Crop Protection Cluster, University of the Philippines Los Baños, College, Laguna, Philippines
| | - Maria Genaleen Diaz
- Institute of Biological Sciences, University of the Philippines Los Baños, College, Laguna, Philippines
| | - Merlyn Mendioro
- Institute of Biological Sciences, University of the Philippines Los Baños, College, Laguna, Philippines
| | - Michael J Thomson
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | - Tobias Kretzschmar
- Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, Los Baños, Laguna, Philippines.
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Zhou S, Yan B, Li F, Zhang J, Zhang J, Ma H, Liu W, Lu Y, Yang X, Li X, Liu X, Li L. RNA-Seq Analysis Provides the First Insights into the Phylogenetic Relationship and Interspecific Variation between Agropyron cristatum and Wheat. FRONTIERS IN PLANT SCIENCE 2017; 8:1644. [PMID: 28983310 PMCID: PMC5613732 DOI: 10.3389/fpls.2017.01644] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2017] [Accepted: 09/07/2017] [Indexed: 05/30/2023]
Abstract
Agropyron cristatum, which is a wild grass of the tribe Triticeae, grows widely in harsh environments and provides many desirable genetic resources for wheat improvement. However, unclear interspecific phylogeny and genome-wide variation has limited the utilization of A. cristatum in the production of superior wheat varieties. In this study, by sequencing the transcriptome of the representative tetraploid A. cristatum Z559 and the common wheat variety Fukuhokomugi (Fukuho), which are often used as parents in a wide cross, their phylogenetic relationship and interspecific variation were dissected. First, 214,854 transcript sequences were assembled, and 3,457 orthologous genes related to traits of interest were identified in A. cristatum. Second, a total of 72 putative orthologous gene clusters were used to construct phylogenetic relationships among A. cristatum, Triticeae and other genomes. A clear division between A. cristatum and the other Triticeae species was revealed. Third, the sequence similarity of most genes related to traits of interest is greater than 95% between A. cristatum and wheat. Therefore, using the 5% mismatch parameter for A. cristatum, we mapped the transcriptome sequencing data to wheat reference sequences to discover the variations between A. cristatum and wheat and 862,340 high-quality variants were identified. Additionally, compared with the wheat A and B genomes, the P and D genomes displayed an obviously larger variant density and a longer evolutionary distance, suggesting that A. cristatum is more distantly related to the wheat D genome. Finally, by using Kompetitive Allele Specific PCR array (KASPar) technology, 37 of 53 (69.8%) SNPs were shown to be genuine in Z559, Fukuho, and additional lines with seven different P chromosomes, and function of the genes in which these SNPs are located were also determined. This study provides not only the first insights into the phylogenetic relationships between the P genome and Triticeae but also genetic resources for gene discovery and specific marker development in A. cristatum, and this information will be vital for future wheat-breeding efforts. The sequence data have been deposited in the Sequence Read Archive (SRA) database at the NCBI under accession number SRP090613.
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Identification, Characterization and Expression Profiling of Stress-Related Genes in Easter Lily (Lilium formolongi). Genes (Basel) 2017. [PMCID: PMC5541305 DOI: 10.3390/genes8070172] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Biotic and abiotic stresses are the major causes of crop loss in lily worldwide. In this study, we retrieved 12 defense-related expressed sequence tags (ESTs) from the NCBI database and cloned, characterized, and established seven of these genes as stress-induced genes in Lilium formolongi. Using rapid amplification of cDNA ends PCR (RACE-PCR), we successfully cloned seven full-length mRNA sequences from L. formolongi line Sinnapal lily. Based on the presence of highly conserved characteristic domains and phylogenetic analysis using reference protein sequences, we provided new nomenclature for the seven nucleotide and protein sequences and submitted them to GenBank. The real-time quantitative PCR (qPCR) relative expression analysis of these seven genes, including LfHsp70-1, LfHsp70-2, LfHsp70-3, LfHsp90, LfUb, LfCyt-b5, and LfRab, demonstrated that they were differentially expressed in all organs examined, possibly indicating functional redundancy. We also investigated the qPCR relative expression levels under two biotic and four abiotic stress conditions. All seven genes were induced by Botrytis cinerea treatment, and all genes except LfHsp70-3 and LfHsp90 were induced by Botrytis elliptica treatment; these genes might be associated with disease tolerance mechanisms in L. formolongi. In addition, LfHsp70-1, LfHsp70-2, LfHsp70-3, LfHsp90, LfUb, and LfCyt-b5 were induced by heat treatment, LfHsp70-1, LfHsp70-2, LfHsp70-3, LfHsp90, and LfCyt-b5 were induced by cold treatment, and LfHsp70-1, LfHsp70-2, LfHsp70-3, LfHsp90, LfCy-b5, and LfRab were induced by drought and salt stress, indicating their likely association with tolerance to these stress conditions. The stress-induced candidate genes identified in this study provide a basis for further functional analysis and the development of stress-resistant L. formolongi cultivars.
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Agarwal P, Parida SK, Raghuvanshi S, Kapoor S, Khurana P, Khurana JP, Tyagi AK. Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India. RICE (NEW YORK, N.Y.) 2016; 9:1. [PMID: 26743769 PMCID: PMC4705060 DOI: 10.1186/s12284-015-0073-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 12/22/2015] [Indexed: 05/05/2023]
Abstract
Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has provided a rich resource to mine information about diversity of genes and alleles which can contribute to improvement of useful agronomic traits. Defining the function of each gene and regulatory element of rice remains a challenge for the rice community in the coming years. Subsequent to participation in IRGSP, India has continued to contribute in the areas of diversity analysis, transcriptomics, functional genomics, marker development, QTL mapping and molecular breeding, through national and multi-national research programs. These efforts have helped generate resources for rice improvement, some of which have already been deployed to mitigate loss due to environmental stress and pathogens. With renewed efforts, Indian researchers are making new strides, along with the international scientific community, in both basic research and realization of its translational impact.
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Affiliation(s)
- Pinky Agarwal
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Saurabh Raghuvanshi
- Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, 110021, India
| | - Sanjay Kapoor
- Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, 110021, India
| | - Paramjit Khurana
- Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, 110021, India
| | - Jitendra P Khurana
- Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, 110021, India
| | - Akhilesh K Tyagi
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India.
- Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, 110021, India.
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Raboin LM, Ballini E, Tharreau D, Ramanantsoanirina A, Frouin J, Courtois B, Ahmadi N. Association mapping of resistance to rice blast in upland field conditions. RICE (NEW YORK, N.Y.) 2016; 9:59. [PMID: 27830537 PMCID: PMC5102990 DOI: 10.1186/s12284-016-0131-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 10/26/2016] [Indexed: 05/22/2023]
Abstract
BACKGROUND Rice blast is one of the most damaging disease of rice. The use of resistant cultivars is the only practical way to control the disease in developing countries where most farmers cannot afford fungicides. However resistance often breaks down. Genome wide association studies (GWAS) allow high resolution exploration of rice genetic diversity for quantitative and qualitative resistance alleles that can be combined in breeding programs to achieve durability. We undertook a GWAS of resistance to rice blast using a tropical japonica panel of 150 accessions genotyped with 10,937 markers and an indica panel of 190 accessions genotyped with 14,187 markers. RESULTS The contrasted distribution of blast disease scores between the indica and tropical japonica groups observed in the field suggest a higher level of quantitative resistance in the japonica panel than in the indica panel. In the japonica panel, two different loci significantly associated with blast resistance were identified in two experimental sites. The first, detected by seven SNP markers located on chromosome 1, colocalized with a cluster of four NBS-LRR including the two cloned resistance genes Pi37 and Pish/Pi35. The second is located on chromosome 12 and is associated with partial resistance to blast. In the indica panel, we identified only one locus associated with blast resistance. The three markers significantly detected at this locus were located on chromosome 8 in the 240 kb region carrying Pi33, which encompasses a cluster of three nucleotide binding site-leucine-rich repeat (NBS-LRRs) and six LRR-kinases in the Nipponbare sequence. Within this region, there is an insertion in the IR64 sequence compared to the Nipponbare sequence which also contains resistance gene analogs. Pi33 may belong to this insertion. The analysis of haplotype diversity in the target region revealed two distinct haplotypes, both associated with Pi33 resistance. CONCLUSIONS It was possible to identify three chromosomal regions associated with resistance in the field through GWAS in this study. Future research should concentrate on specific indica markers targeting the identified insertion in the Pi33 zone. Specific experimental designs should also be implemented to dissect quantitative resistance among tropical japonica varieties.
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Affiliation(s)
- Louis-Marie Raboin
- CIRAD, UPR AIDA, TA B-115/02, Avenue Agropolis, 34398 Montpellier Cedex 5, France
| | - Elsa Ballini
- Montpellier SupAgro, UMR BGPI, TA A-54/K, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France
| | - Didier Tharreau
- CIRAD, UMR BGPI, TA A-54/K, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France
| | | | - Julien Frouin
- CIRAD, UMR AGAP, TA A-108/03, Avenue Agropolis, 34398 Montpellier Cedex 5, France
| | - Brigitte Courtois
- CIRAD, UMR AGAP, TA A-108/03, Avenue Agropolis, 34398 Montpellier Cedex 5, France
| | - Nourollah Ahmadi
- CIRAD, UMR AGAP, TA A-108/03, Avenue Agropolis, 34398 Montpellier Cedex 5, France
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Tatarinova TV, Chekalin E, Nikolsky Y, Bruskin S, Chebotarov D, McNally KL, Alexandrov N. Nucleotide diversity analysis highlights functionally important genomic regions. Sci Rep 2016; 6:35730. [PMID: 27774999 PMCID: PMC5075931 DOI: 10.1038/srep35730] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 09/30/2016] [Indexed: 12/15/2022] Open
Abstract
We analyzed functionality and relative distribution of genetic variants across the complete Oryza sativa genome, using the 40 million single nucleotide polymorphisms (SNPs) dataset from the 3,000 Rice Genomes Project (http://snp-seek.irri.org), the largest and highest density SNP collection for any higher plant. We have shown that the DNA-binding transcription factors (TFs) are the most conserved group of genes, whereas kinases and membrane-localized transporters are the most variable ones. TFs may be conserved because they belong to some of the most connected regulatory hubs that modulate transcription of vast downstream gene networks, whereas signaling kinases and transporters need to adapt rapidly to changing environmental conditions. In general, the observed profound patterns of nucleotide variability reveal functionally important genomic regions. As expected, nucleotide diversity is much higher in intergenic regions than within gene bodies (regions spanning gene models), and protein-coding sequences are more conserved than untranslated gene regions. We have observed a sharp decline in nucleotide diversity that begins at about 250 nucleotides upstream of the transcription start and reaches minimal diversity exactly at the transcription start. We found the transcription termination sites to have remarkably symmetrical patterns of SNP density, implying presence of functional sites near transcription termination. Also, nucleotide diversity was significantly lower near 3′ UTRs, the area rich with regulatory regions.
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Affiliation(s)
- Tatiana V Tatarinova
- Center for Personalized Medicine and Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.,Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation
| | | | - Yuri Nikolsky
- Vavilov Institute of General Genetics, Moscow, Russia.,F1 Genomics, San Diego, CA, USA.,School of Systems Biology, George Mason University, VA, USA
| | | | - Dmitry Chebotarov
- International Rice Research Institute, Los Baños, Laguna 4031, Philippines
| | - Kenneth L McNally
- International Rice Research Institute, Los Baños, Laguna 4031, Philippines
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Parida SK, Kalia S, Pandit A, Nayak P, Singh RK, Gaikwad K, Srivastava PS, Singh NK, Mohapatra T. Single nucleotide polymorphism in sugar pathway and disease resistance genes in sugarcane. PLANT CELL REPORTS 2016; 35:1629-1653. [PMID: 27289592 DOI: 10.1007/s00299-016-1978-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 03/21/2016] [Indexed: 06/06/2023]
Abstract
Single nucleotide polymorphism in sugar pathway and disease resistance genes showing genetic association with sugar content and red rot resistance would be useful in marker-assisted genetic improvement of sugarcane. Validation and genotyping of potential sequence variants in candidate genes are necessary to understand their functional significance and trait association potential. We discovered, characterized, validated and genotyped SNPs and InDels in sugar pathway and disease resistance genes of Saccharum complex and sugarcane varieties using amplicon sequencing and CAPS assays. The SNPs were abundant in the non-coding 3'UTRs than 5'UTRs and coding sequences depicting a strong bias toward C to T transition substitutions than transversions. Sequencing of cloned amplicons validated 61.6 and 45.2 % SNPs detected in silico in 21 sugar pathway and 16 disease resistance genes, respectively. Sixteen SNPs in four sugar pathway genes and 10 SNPs in nine disease resistance genes were validated through cost-effective CAPS assay. Functional and adaptive significance of SNP and protein haplotypes identified in sugar pathway and disease resistance genes was assessed by correlating their allelic variation with missense amino acid substitutions in the functional domains, alteration in protein structure models and possible modulation of catalytic enzyme activity in contrasting high and low sugar and moderately red rot resistant and highly susceptible sugarcane genotypes. A strong genetic association of five SNPs in the sugar pathway and disease resistance genes, and an InDel marker in the promoter sequence of sucrose synthase-2 gene, with sugar content and red rot resistance, was evident. The functionally relevant SNPs and InDels, detected and validated in sugar pathway and disease resistance genes, and genic CAPS markers designed, would be of immense use in marker-assisted genetic improvement of sugarcane for sugar content and disease resistance.
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Affiliation(s)
- Swarup K Parida
- National Research Centre on Plant Biotechnology, New Delhi, 110012, India
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Sanjay Kalia
- National Research Centre on Plant Biotechnology, New Delhi, 110012, India
- Department of Biotechnology, CGO Complex, Lodhi Road, New Delhi, 110003, India
| | - Awadhesh Pandit
- National Research Centre on Plant Biotechnology, New Delhi, 110012, India
- National Centre for Biological Sciences, Bengaluru, 560065, Karnataka , India
| | - Preetam Nayak
- Utkal University, Vanivihar, Bhubaneswar, Odisha, 751004, India
| | - Ram Kushal Singh
- U.P. Council of Sugarcane Research, Shahjahanpur, Uttar Pradesh, 242001, India
| | - Kishor Gaikwad
- National Research Centre on Plant Biotechnology, New Delhi, 110012, India
| | | | - Nagendra K Singh
- National Research Centre on Plant Biotechnology, New Delhi, 110012, India
| | - Trilochan Mohapatra
- National Research Centre on Plant Biotechnology, New Delhi, 110012, India.
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi, 110001, India.
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31
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Singh A, Jethva M, Singla-Pareek SL, Pareek A, Kushwaha HR. Analyses of Old "Prokaryotic" Proteins Indicate Functional Diversification in Arabidopsis and Oryza sativa. FRONTIERS IN PLANT SCIENCE 2016; 7:304. [PMID: 27014324 PMCID: PMC4792156 DOI: 10.3389/fpls.2016.00304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 02/26/2016] [Indexed: 06/05/2023]
Abstract
During evolution, various processes such as duplication, divergence, recombination, and many other events leads to the evolution of new genes with novel functions. These evolutionary events, thus significantly impact the evolution of cellular, physiological, morphological, and other phenotypic trait of organisms. While evolving, eukaryotes have acquired large number of genes from the earlier prokaryotes. This work is focused upon identification of old "prokaryotic" proteins in Arabidopsis and Oryza sativa genome, further highlighting their possible role(s) in the two genomes. Our results suggest that with respect to their genome size, the fraction of old "prokaryotic" proteins is higher in Arabidopsis than in Oryza sativa. The large fractions of such proteins encoding genes were found to be localized in various endo-symbiotic organelles. The domain architecture of the old "prokaryotic" proteins revealed similar distribution in both Arabidopsis and Oryza sativa genomes showing their conserved evolution. In Oryza sativa, the old "prokaryotic" proteins were more involved in developmental processes, might be due to constant man-made selection pressure for better agronomic traits/productivity. While in Arabidopsis, these proteins were involved in metabolic functions. Overall, the analysis indicates the distinct pattern of evolution of old "prokaryotic" proteins in Arabidopsis and Oryza sativa.
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Affiliation(s)
- Anupama Singh
- School of Computational and Integrative Sciences, Jawaharlal Nehru UniversityNew Delhi, India
| | - Minesh Jethva
- International Center for Genetic Engineering and BiotechnologyNew Delhi, India
| | - Sneh L. Singla-Pareek
- Plant Stress Biology, International Center for Genetic Engineering and BiotechnologyNew Delhi, India
| | - Ashwani Pareek
- Stress Physiology and Molecular Biology Laboratory, School of Life Sciences, Jawaharlal Nehru UniversityNew Delhi, India
| | - Hemant R. Kushwaha
- International Center for Genetic Engineering and BiotechnologyNew Delhi, India
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Thottathil GP, Jayasekaran K, Othman AS. Sequencing Crop Genomes: A Gateway to Improve Tropical Agriculture. Trop Life Sci Res 2016; 27:93-114. [PMID: 27019684 PMCID: PMC4807965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023] Open
Abstract
Agricultural development in the tropics lags behind development in the temperate latitudes due to the lack of advanced technology, and various biotic and abiotic factors. To cope with the increasing demand for food and other plant-based products, improved crop varieties have to be developed. To breed improved varieties, a better understanding of crop genetics is necessary. With the advent of next-generation DNA sequencing technologies, many important crop genomes have been sequenced. Primary importance has been given to food crops, including cereals, tuber crops, vegetables, and fruits. The DNA sequence information is extremely valuable for identifying key genes controlling important agronomic traits and for identifying genetic variability among the cultivars. However, massive DNA re-sequencing and gene expression studies have to be performed to substantially improve our understanding of crop genetics. Application of the knowledge obtained from the genomes, transcriptomes, expression studies, and epigenetic studies would enable the development of improved varieties and may lead to a second green revolution. The applications of next generation DNA sequencing technologies in crop improvement, its limitations, future prospects, and the features of important crop genome projects are reviewed herein.
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Affiliation(s)
- Gincy Paily Thottathil
- Centre for Chemical Biology, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia
| | - Kandakumar Jayasekaran
- Centre for Chemical Biology, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia
- Temasek Life Sciences Laboratory, National University of Singapore, Singapore 117543
| | - Ahmad Sofiman Othman
- Centre for Chemical Biology, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia
- School of Biological Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia
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Wicker T, Wing RA, Schubert I. Recurrent sequence exchange between homeologous grass chromosomes. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2015; 84:747-59. [PMID: 26408412 DOI: 10.1111/tpj.13040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 09/03/2015] [Accepted: 09/14/2015] [Indexed: 05/10/2023]
Abstract
All grass species evolved from an ancestor that underwent a whole-genome duplication (WGD) approximately 70 million years ago. Interestingly, the short arms of rice chromosomes 11 and 12 (and independently their homologs in sorghum) were found to be much more similar to each other than other homeologous regions within the duplicated genome. Based on detailed analysis of rice chromosomes 11 and 12 and their homologs in seven grass species, we propose a mechanism that explains the apparently 'younger' age of the duplication in this region of the genome, assuming a small number of reciprocal translocations at the chromosome termini. In each case the translocations were followed by unbalanced transmission and subsequent lineage sorting of the involved chromosomes to offspring. Molecular dating of these translocation events also allowed us to date major chromosome 'fusions' in the evolutionary lineages that led to Brachypodium and Triticeae. Furthermore, we provide evidence that rice is exceptional regarding the evolution of chromosomes 11 and 12, inasmuch as in other species the process of sequence exchange between homeologous chromosomes ceased much earlier than in rice. We presume that random events rather than selective forces are responsible for the observed high similarity between the short arm ends of rice chromosomes 11 and 12.
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Affiliation(s)
- Thomas Wicker
- Institute of Plant Biology, University of Zurich, Zollikerstrasse 107, Zurich, CH-8008, Switzerland
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Ingo Schubert
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Stadt Seeland, D-06466, Germany
- Central European Institute of Technology (CEITEC) and Faculty of Science, Masaryk University, Brno, 62500, Czech Republic
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Kozlova LV, Gorshkov OV, Mokshina NE, Gorshkova TA. Differential expression of α-L-arabinofuranosidases during maize (Zea mays L.) root elongation. PLANTA 2015; 241:1159-1172. [PMID: 25608890 DOI: 10.1007/s00425-015-2244-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 01/08/2015] [Indexed: 06/04/2023]
Abstract
Specific α- l -arabinofuranosidases are involved in the realisation of elongation growth process in cells with type II cell walls. Elongation growth in a plant cell is largely based on modification of the cell wall. In type II cell walls, the Ara/Xyl ratio is known to decrease during elongation due to the partial removal of Ara residues from glucuronoarabinoxylan. We searched within the maize genome for the genes of all predicted α-L-arabinofuranosidases that may be responsible for such a process and related their expression to the activity of the enzyme and the amount of free arabinose measured in six zones of a growing maize root. Eight genes of the GH51 family (ZmaABFs) and one gene of the GH3 family (ZmaARA-I) were identified. The abundance of ZmaABF1 and 3-6 transcripts was highly correlated with the measured enzymatic activity and free arabinose content that significantly increased during elongation. The transcript abundances also coincided with the pattern of changes in the Ara/Xyl ratio of the xylanase-extractable glucuronoarabinoxylan described in previous studies. The expression of ZmaABF3, 5 and 6 was especially up-regulated during elongation although corresponding proteins are devoid of the catalytic glutamate at the proper position. ZmaABF2 transcripts were specifically enriched in the root cap and meristem. A single ZmaARA-I gene was not expressed as a whole gene but instead as splice variants that encode the C-terminal end of the protein. Changes in the ZmaARA-I transcript level were rather moderate and had no significant correlation with free arabinose content. Thus, elongation growth of cells with type II cell walls is accompanied by the up-regulation of specific and predicted α-L-arabinofuranosidase genes, and the corresponding activity is indeed pronounced and is important for the modification of glucuronoarabinoxylan, which plays a key role in the modification of the cell wall supramolecular organisation.
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Affiliation(s)
- Liudmila V Kozlova
- Kazan Scientific Center, Kazan Institute of Biochemistry and Biophysics, Russian Academy of Sciences, Lobachevsky 2/31, p.o. 30, 420111, Kazan, Russia,
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Singh S, Chand S, Singh NK, Sharma TR. Genome-Wide Distribution, Organisation and Functional Characterization of Disease Resistance and Defence Response Genes across Rice Species. PLoS One 2015; 10:e0125964. [PMID: 25902056 PMCID: PMC4406684 DOI: 10.1371/journal.pone.0125964] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2011] [Accepted: 03/28/2015] [Indexed: 11/19/2022] Open
Abstract
The resistance (R) genes and defense response (DR) genes have become very important resources for the development of disease resistant cultivars. In the present investigation, genome-wide identification, expression, phylogenetic and synteny analysis was done for R and DR-genes across three species of rice viz: Oryza sativa ssp indica cv 93-11, Oryza sativa ssp japonica and wild rice species, Oryza brachyantha. We used the in silico approach to identify and map 786 R -genes and 167 DR-genes, 672 R-genes and 142 DR-genes, 251 R-genes and 86 DR-genes in the japonica, indica and O. brachyanth a genomes, respectively. Our analysis showed that 60.5% and 55.6% of the R-genes are tandemly repeated within clusters and distributed over all the rice chromosomes in indica and japonica genomes, respectively. The phylogenetic analysis along with motif distribution shows high degree of conservation of R- and DR-genes in clusters. In silico expression analysis of R-genes and DR-genes showed more than 85% were expressed genes showing corresponding EST matches in the databases. This study gave special emphasis on mechanisms of gene evolution and duplication for R and DR genes across species. Analysis of paralogs across rice species indicated 17% and 4.38% R-genes, 29% and 11.63% DR-genes duplication in indica and Oryza brachyantha, as compared to 20% and 26% duplication of R-genes and DR-genes in japonica respectively. We found that during the course of duplication only 9.5% of R- and DR-genes changed their function and rest of the genes have maintained their identity. Syntenic relationship across three genomes inferred that more orthology is shared between indica and japonica genomes as compared to brachyantha genome. Genome wide identification of R-genes and DR-genes in the rice genome will help in allele mining and functional validation of these genes, and to understand molecular mechanism of disease resistance and their evolution in rice and related species.
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Affiliation(s)
- Sangeeta Singh
- National Research Center on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India
- School of Life Sciences, Devi Ahilya University, Khandwa Road, Indore, 452017, India
| | - Suresh Chand
- School of Life Sciences, Devi Ahilya University, Khandwa Road, Indore, 452017, India
| | - N. K. Singh
- National Research Center on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India
| | - Tilak Raj Sharma
- National Research Center on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India
- * E-mail:
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36
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Zhang YT, Zhang YL, Chen SX, Yin GH, Yang ZZ, Lee S, Liu CG, Zhao DD, Ma YK, Song FQ, Bennett JW, Yang FS. Proteomics of methyl jasmonate induced defense response in maize leaves against Asian corn borer. BMC Genomics 2015; 16:224. [PMID: 25885025 PMCID: PMC4375847 DOI: 10.1186/s12864-015-1363-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 02/19/2015] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Jasmonic acid (JA) and methyl jasmonate (MeJA) regulate plant development, resistance to stress, and insect attack by inducing specific gene expression. However, little is known about the mechanism of plant defense against herbivore attack at a protein level. Using a high-resolution 2-D gel, we identified 62 MeJA-responsive proteins and measured protein expression level changes. RESULTS Among these 62 proteins, 43 proteins levels were increased while 11 proteins were decreased. We also found eight proteins uniquely expressed in response to MeJA treatment. Data are available via ProteomeXchange with identifier PXD001793. The proteins identified in this study have important biological functions including photosynthesis and energy related proteins (38.4%), protein folding, degradation and regulated proteins (15.0%), stress and defense regulated proteins (11.7%), and redox-responsive proteins (8.3%). The expression levels of four important genes were determined by qRT-PCR analysis. The expression levels of these proteins did not correlate well with their translation levels. To test the defense functions of the differentially expressed proteins, expression vectors of four protein coding genes were constructed to express in-fusion proteins in E. coli. The expressed proteins were used to feed Ostrinia furnacalis, the Asian corn borer (ACB). Our results demonstrated that the recombinant proteins of pathogenesis-related protein 1 (PR1) and thioredoxin M-type, chloroplastic precursor (TRXM) showed the significant inhibition on the development of larvae and pupae. CONCLUSIONS We found MeJA could not only induce plant defense mechanisms to insects, it also enhanced toxic protein production that potentially can be used for bio-control of ACB.
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Affiliation(s)
- Yi Tong Zhang
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Majorbio Pharm Technology Co., Ltd., Shanghai, 201203, China.
| | - Yu Liang Zhang
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, 571101, China.
| | - Si Xue Chen
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Department of Biology, Genetics Institute, Plant Molecular and Cellular Biology Program, Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, Florida, 32610, USA.
| | - Guo Hua Yin
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, 571101, China.
- Department of Plant Biology and Pathology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA.
| | - Ze Zhong Yang
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Institute of Pesticide Science, Hunan Agricultural University, Changsha, China.
| | - Samantha Lee
- Department of Plant Biology and Pathology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA.
| | - Chun Guang Liu
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
| | - Dan Dan Zhao
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
| | - Yu Kun Ma
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
| | - Fu Qiang Song
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
| | - Joan W Bennett
- Department of Plant Biology and Pathology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA.
| | - Feng Shan Yang
- Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang University, Harbin, 150080, China.
- Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
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Matsubara K, Yamamoto E, Mizobuchi R, Yonemaru JI, Yamamoto T, Kato H, Yano M. Hybrid breakdown caused by epistasis-based recessive incompatibility in a cross of rice (Oryza sativa L.). J Hered 2014; 106:113-22. [PMID: 25429024 DOI: 10.1093/jhered/esu065] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Viability and fertility in organisms depend on epistatic interactions between loci maintained in lineages. Here, we describe reduced fitness of segregants (hybrid breakdown, HB) that emerged in an F2 population derived from a cross between 2 rice (Oryza sativa L.) cultivars, "Tachisugata" (TS) and "Hokuriku 193" (H193), despite both parents and F1s showing normal fitness. Quantitative trait locus (QTL) analyses detected 13 QTLs for 4 morphological traits associated with the HB and 6 associated with principal component scores calculated from values of the morphological traits in the F2 population. Two-way analysis of variance of the putative QTLs identified 4 QTL pairs showing significant epistasis; among them, a pair on chromosomes 1 and 12 made the greatest contribution to HB. The finding was supported by genetic experiments using F3 progeny. HB emerged only when a plant was homozygous for the TS allele at the QTL on chromosome 1 and homozygous for the H193 allele at the QTL on chromosome 12, indicating that each allele behaves as recessive to the other. Our results support the idea that epistasis is an essential part of hybrid fitness.
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Affiliation(s)
- Kazuki Matsubara
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan.
| | - Eiji Yamamoto
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan
| | - Ritsuko Mizobuchi
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan
| | - Jun-ichi Yonemaru
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan
| | - Toshio Yamamoto
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan
| | - Hiroshi Kato
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan.
| | - Masahiro Yano
- From the NARO Institute of Crop Science, 2-1-18 Kannondai, Tsukuba, Ibaraki 305-8518, Japan (Matsubara and Kato); and the National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan (Yamamoto, Mizobuchi, Yonemaru, Yamamoto, and Yano). Eiji Yamamoto is now at the NARO Institute of Vegetable and Tea Science, Tsu, Mie 514-2392, Japan. Masahiro Yano is now at the NARO Institute of Crop Science, Tsukuba, Ibaraki 305-8518, Japan. Hiroshi Kato is now at the National Institute of Agrobiological Sciences, Hitachiohmiya, Ibaraki 319-2293, Japan
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Wang C, Yang Y, Yuan X, Xu Q, Feng Y, Yu H, Wang Y, Wei X. Genome-wide association study of blast resistance in indica rice. BMC PLANT BIOLOGY 2014; 14:311. [PMID: 25403621 PMCID: PMC4239320 DOI: 10.1186/s12870-014-0311-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 10/27/2014] [Indexed: 05/19/2023]
Abstract
BACKGROUND Rice blast disease is one of the most serious and recurrent problems in rice-growing regions worldwide. Most resistance genes were identified by linkage mapping using genetic populations. We extensively examined 16 rice blast strains and a further genome-wide association study based on genotyping 0.8 million single nucleotide polymorphism variants across 366 diverse indica accessions. RESULTS Totally, thirty associated loci were identified. The strongest signal (Chr11_6526998, P =1.17 × 10-17) was located within the gene Os11g0225100, one of the rice Pia-blast resistance gene. Another association signal (Chr11_30606558) was detected around the QTL Pif. Our study identified the gene Os11g0704100, a disease resistance protein containing nucleotide binding site-leucine rich repeat domain, as the main candidate gene of Pif. In order to explore the potential mechanism underlying the blast resistance, we further examined a locus in chromosome 12, which was associated with CH149 (P =7.53 × 10-15). The genes, Os12g0424700 and Os12g0427000, both described as kinase-like domain containing protein, were presumed to be required for the full function of this locus. Furthermore, we found some association on chromosome 3, in which it has not been reported any loci associated with rice blast resistance. In addition, we identified novel functional candidate genes, which might participate in the resistance regulation. CONCLUSIONS This work provides the basis of further study of the potential function of these candidate genes. A subset of true associations would be weakly associated with outcome in any given GWAS; therefore, large-scale replication is necessary to confirm our results. Future research will focus on validating the effects of these candidate genes and their functional variants using genetic transformation and transferred DNA insertion mutant screens, to verify that these genes engender resistance to blast disease in rice.
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Affiliation(s)
- Caihong Wang
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
| | - Yaolong Yang
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
- />College of Agricultural Sciences, Jiangxi Agricultural University, Nanchang, 330045 China
| | - Xiaoping Yuan
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
| | - Qun Xu
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
| | - Yue Feng
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
| | - Hanyong Yu
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
| | - Yiping Wang
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
| | - Xinghua Wei
- />State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006 China
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Srivastava SK, Wolinski P, Pereira A. A strategy for genome-wide identification of gene based polymorphisms in rice reveals non-synonymous variation and functional genotypic markers. PLoS One 2014; 9:e105335. [PMID: 25237817 PMCID: PMC4169549 DOI: 10.1371/journal.pone.0105335] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Accepted: 07/20/2014] [Indexed: 11/19/2022] Open
Abstract
The genetic diversity of plants has traditionally been employed to improve crop plants to suit human needs, and in the future feed the increasing population and protect crops from environmental stresses and climate change. Genome-wide sequencing is a reality and can be used to make association to crop traits to be utilized by high-throughput marker based selection methods. This study describes a strategy of using next generation sequencing (NGS) data from the rice genome to make comparisons to the high-quality reference genome, identify functional polymorphisms within genes that might result in function changes and be used to study correlations to traits and employed in genetic mapping. We analyzed the NGS data of Oryza sativa ssp indica cv. G4 covering 241 Mb with ∼20X coverage and compared to the reference genome of Oryza sativa ssp. japonica to describe the genome-wide distribution of gene-based single nucleotide polymorphisms (SNPs). The analysis shows that the 63% covered genome consists of 1.6 million SNPs with 6.9 SNPs/Kb, and including 80,146 insertions and 92,655 deletions (INDELs) genome-wide. There are a total of 1,139,801 intergenic SNPs, 295,136 SNPs in intronic/non-coding regions, 195,098 in coding regions, 23,242 SNPs at the five-prime (5′) UTR regions and 22,686 SNPs at the three-prime (3′) UTR region. SNP variation was found in 40,761 gene loci, which include 75,262 synonymous and 119,836 non-synonymous changes, and functional reading frame changes through 3,886 inducing STOP-codon (isSNP) and 729 preventing STOP-codon (psSNP) variation. There are quickly evolving 194 high SNP hotspot genes (>100 SNPs/gene), and 1,513 out of 2,458 transcription factors displaying 2,294 non-synonymous SNPs that can be a major source of phenotypic diversity within the species. All data is searchable at https://plantstress-pereira.uark.edu/oryza2. We envision that this strategy will be useful for the identification of genes for crop traits and molecular breeding of rice cultivars.
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Affiliation(s)
- Subodh K. Srivastava
- Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, Arkansas, United States of America
| | - Pawel Wolinski
- Arkansas High Performance Computing Center, University of Arkansas, Fayetteville, Arkansas, United States of America
| | - Andy Pereira
- Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, Arkansas, United States of America
- * E-mail:
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40
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Magbanua ZV, Arick M, Buza T, Hsu CY, Showmaker KC, Chouvarine P, Deng P, Peterson DG, Lu S. Transcriptomic dissection of the rice-Burkholderia glumae interaction. BMC Genomics 2014; 15:755. [PMID: 25183458 PMCID: PMC4165909 DOI: 10.1186/1471-2164-15-755] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Accepted: 08/26/2014] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Bacterial panicle blight caused by the bacterium Burkholderia glumae is an emerging disease of rice in the United States. Not much is known about this disease, the disease cycle or any source of disease resistance. To understand the interaction between rice and Burkholderia glumae, we used transcriptomics via next-generation sequencing (RNA-Seq) and bioinformatics to identify differentially expressed transcripts between resistant and susceptible interactions and formulate a model for rice resistance to the disease. RESULTS Using inoculated young seedlings as sample tissues, we identified unique transcripts involved with resistance to bacterial panicle blight, including a PIF-like ORF1 and verified differential expression of some selected genes using qRT-PCR. These transcripts, which include resistance genes of the NBS-LRR type, kinases, transcription factors, transporters and expressed proteins with functions that are not known, have not been reported in other pathosystems including rice blast or bacterial blight. Further, functional annotation analysis reveals enrichment of defense response and programmed cell death (biological processes); ATP and protein binding (molecular functions); and mitochondrion-related (cell component) transcripts in the resistant interaction. CONCLUSION Taken together, we formulated a model for rice resistance to bacterial panicle blight that involves an activation of previously unknown resistance genes and their activation partners upon challenge with B. glumae. Other interesting findings are that 1) though these resistance transcripts were up-regulated upon inoculation in the resistant interaction, some of them were already expressed in the water-inoculated control from the resistant genotype, but not in the water- and bacterium-inoculated samples from the susceptible genotype; 2) rice may have co-opted an ORF that was previously a part of a transposable element to aid in the resistance mechanism; and 3) resistance may have existed immediately prior to rice domestication.
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Affiliation(s)
- Zenaida V Magbanua
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
| | - Mark Arick
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
| | - Teresia Buza
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
- />CVM Basic Science Department, Mississippi State University, Mississippi, MS 39762 USA
| | - Chuan-Yu Hsu
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
| | - Kurt C Showmaker
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
| | - Philippe Chouvarine
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
- />Pediatric, Pneumology and Neonatology, Hanover Medical School, Hanover, Lower Saxony, D-30625 Germany
| | - Peng Deng
- />Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi, MS 39762 USA
| | - Daniel G Peterson
- />Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi, MS 39762 USA
| | - Shien Lu
- />Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi, MS 39762 USA
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Deng Y, Pan Y, Luo M. Detection and correction of assembly errors of rice Nipponbare reference sequence. PLANT BIOLOGY (STUTTGART, GERMANY) 2014; 16:643-650. [PMID: 24224543 DOI: 10.1111/plb.12090] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Accepted: 07/06/2013] [Indexed: 06/02/2023]
Abstract
A complete and high-quality genome reference sequence of an organism provides a solid foundation for a wide research community and determines the outcomes of relevant genomic, genetic, molecular and evolutionary research. Rice is an important food crop and a model plant for grasses, and therefore was the first chosen crop plant for whole genome sequencing. The genome of the japonica representative rice variety, Nipponbare, was sequenced using a gold standard, map-based clone-by-clone strategy. However, although the Nipponbare reference sequence (RefSeq) has the best quality for existing crop genome sequences, it still contains many assembly errors and gaps. To improve the Nipponbare RefSeq, first a robust method is required to detect the hidden assembly errors. Through alignments between BAC-end sequences (BESs) embedded in the Nipponbare bacterial artificial chromosome (BAC) physical map and the Nipponbare RefSeq, we detected locations on the Nipponbare RefSeq that were inversely matched with BESs and could therefore be candidates for spurious inversions of assembly. We performed further analysis of five potential locations and confirmed assembly errors at those locations; four of them, two on chr4 and two on chr11 of the Nipponbare RefSeq (IRGSP build 5), were found to be caused by reverse repetitive sequences flanking the locations. Our approach is effective in detecting spurious inversions in the Nipponbare RefSeq and can be applied for improving the sequence qualities of other genomes as well.
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Affiliation(s)
- Y Deng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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Sakai H, Kanamori H, Arai-Kichise Y, Shibata-Hatta M, Ebana K, Oono Y, Kurita K, Fujisawa H, Katagiri S, Mukai Y, Hamada M, Itoh T, Matsumoto T, Katayose Y, Wakasa K, Yano M, Wu J. Construction of pseudomolecule sequences of the aus rice cultivar Kasalath for comparative genomics of Asian cultivated rice. DNA Res 2014; 21:397-405. [PMID: 24578372 PMCID: PMC4131834 DOI: 10.1093/dnares/dsu006] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Having a deep genetic structure evolved during its domestication and adaptation, the Asian cultivated rice (Oryza sativa) displays considerable physiological and morphological variations. Here, we describe deep whole-genome sequencing of the aus rice cultivar Kasalath by using the advanced next-generation sequencing (NGS) technologies to gain a better understanding of the sequence and structural changes among highly differentiated cultivars. The de novo assembled Kasalath sequences represented 91.1% (330.55 Mb) of the genome and contained 35 139 expressed loci annotated by RNA-Seq analysis. We detected 2 787 250 single-nucleotide polymorphisms (SNPs) and 7393 large insertion/deletion (indel) sites (>100 bp) between Kasalath and Nipponbare, and 2 216 251 SNPs and 3780 large indels between Kasalath and 93-11. Extensive comparison of the gene contents among these cultivars revealed similar rates of gene gain and loss. We detected at least 7.39 Mb of inserted sequences and 40.75 Mb of unmapped sequences in the Kasalath genome in comparison with the Nipponbare reference genome. Mapping of the publicly available NGS short reads from 50 rice accessions proved the necessity and the value of using the Kasalath whole-genome sequence as an additional reference to capture the sequence polymorphisms that cannot be discovered by using the Nipponbare sequence alone.
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Affiliation(s)
- Hiroaki Sakai
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Hiroyuki Kanamori
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Yuko Arai-Kichise
- Genome Research Center, NODAI Research Institute, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo 156-8502, Japan
| | - Mari Shibata-Hatta
- Genome Research Center, NODAI Research Institute, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo 156-8502, Japan
| | - Kaworu Ebana
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Youko Oono
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Kanako Kurita
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Hiroko Fujisawa
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Satoshi Katagiri
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Yoshiyuki Mukai
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Masao Hamada
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Takeshi Itoh
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Takashi Matsumoto
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Yuichi Katayose
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Kyo Wakasa
- Genome Research Center, NODAI Research Institute, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo 156-8502, Japan Department of Bioscience, Faculty of Applied Bioscience, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo 156-8502, Japan
| | - Masahiro Yano
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Jianzhong Wu
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
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Araneda L, Sim SC, Bae JJ, Chakraborty N, Curley J, Chang T, Inoue M, Warnke S, Jung G. Comparative genome analysis between Agrostis stolonifera and members of the Pooideae subfamily, including Brachypodium distachyon. PLoS One 2013; 8:e79425. [PMID: 24244501 PMCID: PMC3823605 DOI: 10.1371/journal.pone.0079425] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Accepted: 09/24/2013] [Indexed: 11/19/2022] Open
Abstract
Creeping bentgrass (Agrostis stolonifera, allotetraploid 2n = 4x = 28) is one of the major cool-season turfgrasses. It is widely used on golf courses due to its tolerance to low mowing and aggressive growth habit. In this study, we investigated genome relationships of creeping bentgrass relative to the Triticeae (a consensus map of Triticum aestivum, T. tauschii, Hordeum vulgare, and H. spontaneum), oat, rice, and ryegrass maps using a common set of 229 EST-RFLP markers. The genome comparisons based on the RFLP markers revealed large-scale chromosomal rearrangements on different numbers of linkage groups (LGs) of creeping bentgrass relative to the Triticeae (3 LGs), oat (4 LGs), and rice (8 LGs). However, we detected no chromosomal rearrangement between creeping bentgrass and ryegrass, suggesting that these recently domesticated species might be closely related, despite their memberships to different Pooideae tribes. In addition, the genome of creeping bentgrass was compared with the complete genome sequence of Brachypodium distachyon in Pooideae subfamily using both sequences of the above-mentioned mapped EST-RFLP markers and sequences of 8,470 publicly available A. stolonifera ESTs (AgEST). We discovered large-scale chromosomal rearrangements on six LGs of creeping bentgrass relative to B. distachyon. Also, a total of 24 syntenic blocks based on 678 orthologus loci were identified between these two grass species. The EST orthologs can be utilized in further comparative mapping of Pooideae species. These results will be useful for genetic improvement of Agrostis species and will provide a better understanding of evolution within Pooideae species.
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Affiliation(s)
- Loreto Araneda
- Stockbridge School of Agriculture, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Sung-Chur Sim
- Department of Bioresources Engineering, Sejong University, Seoul, Korea
| | - Jin-Joo Bae
- Department of Horticulture, University of Wisconsin, Madison, Wisconsin, United States of America
| | | | - Joe Curley
- Syngenta Seeds, Inc., Stanton, Minnesota, United States of America
| | - Taehyun Chang
- School of Ecology & Environmental System, Kyungpook National University, Sangju, Korea
| | - Maiko Inoue
- Stockbridge School of Agriculture, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Scott Warnke
- United States Department of Agriculure-Agricultural Research Service, Floral and Nursery Plants Research Unit, Beltsville, Maryland, United States of America
| | - Geunhwa Jung
- Stockbridge School of Agriculture, University of Massachusetts, Amherst, Massachusetts, United States of America
- * E-mail:
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Kanamori H, Fujisawa M, Katagiri S, Oono Y, Fujisawa H, Karasawa W, Kurita K, Sasaki H, Mori S, Hamada M, Mukai Y, Yazawa T, Mizuno H, Namiki N, Sasaki T, Katayose Y, Matsumoto T, Wu J. A BAC physical map of aus rice cultivar 'Kasalath', and the map-based genomic sequence of 'Kasalath' chromosome 1. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2013; 76:699-708. [PMID: 23980637 DOI: 10.1111/tpj.12317] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Revised: 07/11/2013] [Accepted: 08/20/2013] [Indexed: 05/22/2023]
Abstract
Comparative analysis using available genomic resources within closely related species is an effective way to investigate genomic sequence and structural diversity. Rice (Oryza sativa L.) has undergone significant physiological and morphological changes during its domestication and local adaptation. We present a complete bacterial artificial chromosome (BAC) physical map for the aus rice cultivar 'Kasalath', which covers 90% of the sequence of temperate japonica rice cultivar 'Nipponbare'. Examination of physical distances between computational and experimental measurements of 'Kasalath' BAC insert size revealed the presence of more than 500 genomic regions that appear to have significant chromosome structural changes between the two cultivars. In particular, a genomic region on the long arm of 'Kasalath' chromosome 11 carrying a disease-resistance gene cluster was greatly expanded relative to the 'Nipponbare' genome. We also decoded 41.37 Mb of high-quality genomic sequence from 'Kasalath' chromosome 1. Extensive comparisons of chromosome 1 between 'Kasalath' and 'Nipponbare' led to the discovery of 317,843 single-nucleotide polymorphisms (SNPs) and 66,331 insertion/deletion (indel) sites. Nearly two-thirds of the expressed genes on rice chromosome 1 carried natural variations involving SNPs and/or indels that resulted in substitutions, insertions or deletions of amino acids in one cultivar relative to the other. We also observed gain and loss of genes caused by large indels. This study provides an important framework and an invaluable dataset for further understanding of the molecular mechanisms underlying the evolution and functions of the rice genome.
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Affiliation(s)
- Hiroyuki Kanamori
- Agrogenomics Research Center, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki , 305-8602, Japan
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Yu P, Wang CH, Xu Q, Feng Y, Yuan XP, Yu HY, Wang YP, Tang SX, Wei XH. Genome-wide copy number variations in Oryza sativa L. BMC Genomics 2013; 14:649. [PMID: 24059626 PMCID: PMC3856455 DOI: 10.1186/1471-2164-14-649] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2013] [Accepted: 09/16/2013] [Indexed: 01/16/2023] Open
Abstract
Background Copy number variation (CNV) can lead to intra-specific genome variations. It is not only part of normal genetic variation, but also is the source of phenotypic differences. Rice (Oryza sativa L.) is a model organism with a well-annotated genome, but investigation of CNVs in rice lags behind its mammalian counterparts. Results We comprehensively assayed CNVs using high-density array comparative genomic hybridization in a panel of 20 Asian cultivated rice comprising six indica, three aus, two rayada, two aromatic, three tropical japonica, and four temperate japonica varieties. We used a stringent criterion to identify a total of 2886 high-confidence copy number variable regions (CNVRs), which span 10.28 Mb (or 2.69%) of the rice genome, overlapping 1321 genes. These genes were significantly enriched for specific biological functions involved in cell death, protein phosphorylation, and defense response. Transposable elements (TEs) and other repetitive sequences were identified in the majority of CNVRs. Chromosome 11 showed the greatest enrichment for CNVs. Of subspecies-specific CNVRs, 55.75% and 61.96% were observed in only one cultivar of ssp. indica and ssp. japonica, respectively. Some CNVs with high frequency differences among groups resided in genes underlying rice adaptation. Conclusions Higher recombination rates and the presence of homologous gene clusters are probably predispositions for generation of the higher number of CNVs on chromosome 11 by non-allelic homologous recombination events. The subspecies-specific variants are enriched for rare alleles, which suggests that CNVs are relatively recent events that have arisen within breeding populations. A number of the CNVs identified in this study are candidates for generation of group-specific phenotypes.
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Affiliation(s)
- Ping Yu
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
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46
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Jung KH, Gho HJ, Giong HK, Chandran AKN, Nguyen QN, Choi H, Zhang T, Wang W, Kim JH, Choi HK, An G. Genome-wide identification and analysis of Japonica and Indica cultivar-preferred transcripts in rice using 983 Affymetrix array data. RICE (NEW YORK, N.Y.) 2013; 6:19. [PMID: 24280533 PMCID: PMC4883688 DOI: 10.1186/1939-8433-6-19] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Accepted: 08/07/2013] [Indexed: 05/07/2023]
Abstract
BACKGROUND Accumulation of genome-wide transcriptome data provides new insight on a genomic scale which cannot be gained by analyses of individual data. The majority of rice (O. sativa) species are japonica and indica cultivars. Genome-wide identification of genes differentially expressed between japonica and indica cultivars will be very useful in understanding the domestication and evolution of rice species. RESULTS In this study, we analyzed 983 of the 1866 entries in the Affymetrix array data in the public database: 595 generated from indica and 388 from japonica rice cultivars. To discover differentially expressed genes in each cultivar, we performed significance analysis of microarrays for normalized data, and identified 490 genes preferentially expressed in japonica and 104 genes in indica. Gene Ontology analyses revealed that defense response-related genes are significantly enriched in both cultivars, indicating that japonica and indica might be under strong selection pressure for these traits during domestication. In addition, 36 (34.6%) of 104 genes preferentially expressed in indica and 256 (52.2%) of 490 genes preferentially expressed in japonica were annotated as genes of unknown function. Biotic stress overview in the MapMan toolkit revealed key elements of the signaling pathway for defense response in japonica or indica eQTLs. CONCLUSIONS The percentage of screened genes preferentially expressed in indica was 4-fold higher (34.6%) and that in japonica was 5-fold (52.2%) higher than expected (11.1%), suggesting that genes of unknown function are responsible for the novel traits that distinguish japonica and indica cultivars. The identification of 10 functionally characterized genes expressed preferentially in either japonica or indica highlights the significance of our candidate genes during the domestication of rice species. Functional analysis of the roles of individual components of stress-mediated signaling pathways will shed light on potential molecular mechanisms to improve disease resistance in rice.
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Affiliation(s)
- Ki-Hong Jung
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - Hyun-Jung Gho
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - Hoi-Khoanh Giong
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - Anil Kumar Nalini Chandran
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - Quynh-Nga Nguyen
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - HeeBak Choi
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - Tian Zhang
- />CAS-Max Planck Junior Research Group on Evolutionary Genomics, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences (CAS), Kunming, China
| | - Wen Wang
- />CAS-Max Planck Junior Research Group on Evolutionary Genomics, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences (CAS), Kunming, China
| | - Jin-Hyun Kim
- />Department of Medical Bioscience, Dong-A University, Busan, Republic of Korea
| | - Hong-Kyu Choi
- />Department of Medical Bioscience, Dong-A University, Busan, Republic of Korea
| | - Gynheung An
- />Department of Plant Molecular Systems Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701 Republic of Korea
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Cifuentes M, Rivard M, Pereira L, Chelysheva L, Mercier R. Haploid meiosis in Arabidopsis: double-strand breaks are formed and repaired but without synapsis and crossovers. PLoS One 2013; 8:e72431. [PMID: 23951324 PMCID: PMC3737152 DOI: 10.1371/journal.pone.0072431] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Accepted: 07/09/2013] [Indexed: 12/05/2022] Open
Abstract
Two hallmark features of meiosis are i) the formation of crossovers (COs) between homologs and ii) the production of genetically-unique haploid spores that will fuse to restore the somatic ploidy level upon fertilization. In this study we analysed meiosis in haploid Arabidopsis thaliana plants and a range of haploid mutants to understand how meiosis progresses without a homolog. Extremely low chiasma frequency and very limited synapsis occurred in wild-type haploids. The resulting univalents segregated in two uneven groups at the first division, and sister chromatids segregated to opposite poles at the second division, leading to the production of unbalanced spores. DNA double-strand breaks that initiate meiotic recombination were formed, but in half the number compared to diploid meiosis. They were repaired in a RAD51- and REC8-dependent manner, but independently of DMC1, presumably using the sister chromatid as a template. Additionally, turning meiosis into mitosis (MiMe genotype) in haploids resulted in the production of balanced haploid gametes and restoration of fertility. The variability of the effect on meiosis of the absence of homologous chromosomes in different organisms is then discussed.
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Affiliation(s)
- Marta Cifuentes
- INRA, UMR1318, Institut Jean-Pierre Bourgin, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Versailles, France
| | - Maud Rivard
- INRA, UMR1318, Institut Jean-Pierre Bourgin, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Versailles, France
| | - Lucie Pereira
- INRA, UMR1318, Institut Jean-Pierre Bourgin, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Versailles, France
| | - Liudmila Chelysheva
- INRA, UMR1318, Institut Jean-Pierre Bourgin, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Versailles, France
| | - Raphael Mercier
- INRA, UMR1318, Institut Jean-Pierre Bourgin, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Versailles, France
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48
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Joo J, Choi HJ, Lee YH, Kim YK, Song SI. A transcriptional repressor of the ERF family confers drought tolerance to rice and regulates genes preferentially located on chromosome 11. PLANTA 2013; 238:155-170. [PMID: 23605194 DOI: 10.1007/s00425-013-1880-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Accepted: 04/04/2013] [Indexed: 05/28/2023]
Abstract
Plant-specific ethylene response factors (ERFs) play important roles in abiotic and biotic stress responses in plants. Using a transgenic approach, we identified two rice ERF genes, OsERF4a and OsERF10a, which conferred drought stress tolerance. In particular, OsERF4a contains a conserved ERF-associated amphiphilic repression (EAR) motif in its C-terminal region that has been shown to function as a transcriptional repression domain. Expression profiling of transgenic rice plants over-expressing OsERF4a using either a constitutively active or an ABA-inducible promoter identified 45 down-regulated and 79 up-regulated genes in common. The increased stress tolerance by over-expression of the EAR domain-containing protein OsERF4a could result from suppression of a repressor of the defense response. Expression of the putative silent information regulator 2 (Sir2) repressor protein was repressed, and expression of several stress-response genes were induced by OsERF4a over-expression. The Sir2 and 7 out of 9 genes that were down-regulated by OsERF4a over-expression were induced by high salinity and drought treatments in non-transgenic control plants. Genes that were down- and up-regulated by OsERF4a over-expression were highly biased toward chromosome 11. Rice chromosome 11 has several large clusters of disease-resistance and defense-response genes. Taken together, our results suggest that OsERF4a is a positive regulator of shoot growth and water-stress tolerance in rice during early growth stages. We propose that OsERF4a could work by suppressing a repressor of the defense responses and/or by controlling the expression of a large number of genes located on chromosome 11.
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Affiliation(s)
- Joungsu Joo
- Division of Bioscience and Bioinformatics, Myongji University, Yongin 449-728, Korea
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49
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Cho SH, Yoo SC, Zhang H, Pandeya D, Koh HJ, Hwang JY, Kim GT, Paek NC. The rice narrow leaf2 and narrow leaf3 loci encode WUSCHEL-related homeobox 3A (OsWOX3A) and function in leaf, spikelet, tiller and lateral root development. THE NEW PHYTOLOGIST 2013; 198:1071-1084. [PMID: 23551229 DOI: 10.1111/nph.12231] [Citation(s) in RCA: 139] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2012] [Accepted: 02/10/2013] [Indexed: 05/20/2023]
Abstract
· In order to understand the molecular genetic mechanisms of rice (Oryza sativa) organ development, we studied the narrow leaf2 narrow leaf3 (nal2 nal3; hereafter nal2/3) double mutant, which produces narrow-curly leaves, more tillers, fewer lateral roots, opened spikelets and narrow-thin grains. · We found that narrow-curly leaves resulted mainly from reduced lateral-axis outgrowth with fewer longitudinal veins and more, larger bulliform cells. Opened spikelets, possibly caused by marginal deformity in the lemma, gave rise to narrow-thin grains. · Map-based cloning revealed that NAL2 and NAL3 are paralogs that encode an identical OsWOX3A (OsNS) transcriptional activator, homologous to NARROW SHEATH1 (NS1) and NS2 in maize and PRESSED FLOWER in Arabidopsis. · OsWOX3A is expressed in the vascular tissues of various organs, where nal2/3 mutant phenotypes were displayed. Expression levels of several leaf development-associated genes were altered in nal2/3, and auxin transport-related genes were significantly changed, leading to pin mutant-like phenotypes such as more tillers and fewer lateral roots. OsWOX3A is involved in organ development in rice, lateral-axis outgrowth and vascular patterning in leaves, lemma and palea morphogenesis in spikelets, and development of tillers and lateral roots.
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Affiliation(s)
- Sung-Hwan Cho
- Department of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Soo-Cheul Yoo
- Department of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Haitao Zhang
- Department of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Devendra Pandeya
- Department of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Hee-Jong Koh
- Department of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Ji-Young Hwang
- Department of Molecular Biotechnology, Dong-A University, Busan, 604-714, Korea
| | - Gyung-Tae Kim
- Department of Molecular Biotechnology, Dong-A University, Busan, 604-714, Korea
| | - Nam-Chon Paek
- Department of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
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50
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Ishiwata A, Ozawa M, Nagasaki H, Kato M, Noda Y, Yamaguchi T, Nosaka M, Shimizu-Sato S, Nagasaki A, Maekawa M, Hirano HY, Sato Y. Two WUSCHEL-related homeobox genes, narrow leaf2 and narrow leaf3, control leaf width in rice. PLANT & CELL PHYSIOLOGY 2013; 54:779-92. [PMID: 23420902 DOI: 10.1093/pcp/pct032] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Leaf shape is one of the key determinants of plant architecture. Leaf shape also affects the amount of sunlight captured and influences photosynthetic efficiency; thus, it is an important agronomic trait in crop plants. Understanding the molecular mechanisms governing leaf shape is a central issue of plant developmental biology and agrobiotechnology. Here, we characterized the narrow-leaf phenotype of FL90, a linkage tester line of rice (Oryza sativa). Light and scanning electron microscopic analyses of FL90 leaves revealed defects in the development of marginal regions and a reduction in the number of longitudinal veins. The narrow-leaf phenotype of FL90 shows a two-factor recessive inheritance and is caused by the loss of function of two WUSCHEL-related homeobox genes, NAL2 and NAL3 (NAL2/3), which are duplicate genes orthologous to maize NS1 and NS2 and to Arabidopsis PRS. The overexpression of NAL2/3 in transgenic rice plants results in wider leaves containing increased numbers of veins, suggesting that NAL2/3 expression regulates leaf width. Thus, NAL2/3 can be used to modulate leaf shape and improve agronomic yield in crop plants.
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Affiliation(s)
- Aiko Ishiwata
- Department of Biological Mechanisms and Functions, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, 464-8601 Japan
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