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Ghorbel M, Zribi I, Haddaji N, Siddiqui AJ, Bouali N, Brini F. Genome-Wide Identification and Expression Analysis of Catalase Gene Families in Triticeae. PLANTS (BASEL, SWITZERLAND) 2023; 13:11. [PMID: 38202319 PMCID: PMC10781083 DOI: 10.3390/plants13010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/03/2023] [Accepted: 12/11/2023] [Indexed: 01/12/2024]
Abstract
Aerobic metabolism in plants results in the production of hydrogen peroxide (H2O2), a significant and comparatively stable non-radical reactive oxygen species (ROS). H2O2 is a signaling molecule that regulates particular physiological and biological processes (the cell cycle, photosynthesis, plant growth and development, and plant responses to environmental challenges) at low concentrations. Plants may experience oxidative stress and ultimately die from cell death if excess H2O2 builds up. Triticum dicoccoides, Triticum urartu, and Triticum spelta are different ancient wheat species that present different interesting characteristics, and their importance is becoming more and more clear. In fact, due to their interesting nutritive health, flavor, and nutritional values, as well as their resistance to different parasites, the cultivation of these species is increasingly important. Thus, it is important to understand the mechanisms of plant tolerance to different biotic and abiotic stresses by studying different stress-induced gene families such as catalases (CAT), which are important H2O2-metabolizing enzymes found in plants. Here, we identified seven CAT-encoding genes (TdCATs) in Triticum dicoccoides, four genes in Triticum urartu (TuCATs), and eight genes in Triticum spelta (TsCATs). The accuracy of the newly identified wheat CAT gene members in different wheat genomes is confirmed by the gene structures, phylogenetic relationships, protein domains, and subcellular location analyses discussed in this article. In fact, our analysis showed that the identified genes harbor the following two conserved domains: a catalase domain (pfam00199) and a catalase-related domain (pfam06628). Phylogenetic analyses showed that the identified wheat CAT proteins were present in an analogous form in durum wheat and bread wheat. Moreover, the identified CAT proteins were located essentially in the peroxisome, as revealed by in silico analyses. Interestingly, analyses of CAT promoters in those species revealed the presence of different cis elements related to plant development, maturation, and plant responses to different environmental stresses. According to RT-qPCR, Triticum CAT genes showed distinctive expression designs in the studied organs and in response to different treatments (salt, heat, cold, mannitol, and ABA). This study completed a thorough analysis of the CAT genes in Triticeae, which advances our knowledge of CAT genes and establishes a framework for further functional analyses of the wheat gene family.
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Affiliation(s)
- Mouna Ghorbel
- Department of Biology, College of Sciences, University of Hail, P.O. Box 2440, Ha’il City 81451, Saudi Arabia; (M.G.); (N.H.); (A.J.S.); (N.B.)
| | - Ikram Zribi
- Laboratory of Biotechnology and Plant Improvement, Center of Biotechnology of Sfax, P.O. Box 1177, Sfax 3018, Tunisia;
| | - Najla Haddaji
- Department of Biology, College of Sciences, University of Hail, P.O. Box 2440, Ha’il City 81451, Saudi Arabia; (M.G.); (N.H.); (A.J.S.); (N.B.)
| | - Arif Jamal Siddiqui
- Department of Biology, College of Sciences, University of Hail, P.O. Box 2440, Ha’il City 81451, Saudi Arabia; (M.G.); (N.H.); (A.J.S.); (N.B.)
| | - Nouha Bouali
- Department of Biology, College of Sciences, University of Hail, P.O. Box 2440, Ha’il City 81451, Saudi Arabia; (M.G.); (N.H.); (A.J.S.); (N.B.)
| | - Faiçal Brini
- Laboratory of Biotechnology and Plant Improvement, Center of Biotechnology of Sfax, P.O. Box 1177, Sfax 3018, Tunisia;
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2
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Choudhury DR, Kumar R, S VD, Singh K, Singh NK, Singh R. Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers. Front Genet 2021; 12:726152. [PMID: 34899828 PMCID: PMC8655924 DOI: 10.3389/fgene.2021.726152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/26/2021] [Indexed: 11/16/2022] Open
Abstract
In India, rice (Oryza sativa L.) is cultivated under a variety of climatic conditions. Due to the fragility of the coastal ecosystem, rice farming in these areas has lagged behind. Salinity coupled with floods has added to this trend. Hence, to prevent genetic erosion, conserving and characterizing the coastal rice, is the need of the hour. This work accessed the genetic variation and population structure among 2,242 rice accessions originating from India’s east coast comprising Andhra Pradesh, Orissa, and Tamil Nadu, using 36 SNP markers, and have generated a core set (247 accessions) as well as a mini-core set (30 accessions) of rice germplasm. All the 36 SNP loci were biallelic and 72 alleles found with average two alleles per locus. The genetic relatedness of the total collection was inferred using the un-rooted neighbor-joining tree, which grouped all the genotypes (2,242) into three major clusters. Two groups were obtained with a core set and three groups obtained with a mini core set. The mean PIC value of total collection was 0.24, and those of the core collection and mini core collection were 0.27 and 0.32, respectively. The mean heterozygosity and gene diversity of the overall collection were 0.07 and 0.29, respectively, and the core set and mini core set revealed 0.12 and 0.34, 0.20 and 0.40 values, respectively, representing 99% of distinctiveness in the core and mini core sets. Population structure analysis showed maximum population at K = 4 for total collection and core collection. Accessions were distributed according to their population structure confirmed by PCoA and AMOVA analysis. The identified small and diverse core set panel will be useful in allele mining for biotic and abiotic traits and managing the genetic diversity of the coastal rice collection. Validation of the 36-plex SNP assay was done by comparing the genetic diversity parameters across two different rice core collections, i.e., east coast and northeast rice collection. The same set of SNP markers was found very effective in deciphering diversity at different genetic parameters in both the collections; hence, these marker sets can be utilized for core development and diversity analysis studies.
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Affiliation(s)
| | - Ramesh Kumar
- Division of Genomic Resources, NBPGR, New Delhi, India
| | - Vimala Devi S
- Division of Germplasm Conservation, NBPGR, New Delhi, India
| | | | | | - Rakesh Singh
- Division of Genomic Resources, NBPGR, New Delhi, India
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3
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Sudo MPS, Yesudasan R, Neik TX, Masilamany D, Jayaraj J, Teo SS, Rahman S, Song BK. The details are in the genome-wide SNPs: Fine scale evolution of the Malaysian weedy rice. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2021; 310:110985. [PMID: 34315600 DOI: 10.1016/j.plantsci.2021.110985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/24/2021] [Accepted: 06/24/2021] [Indexed: 06/13/2023]
Abstract
Weedy rice (Oryza spp.) is a major nuisance to rice farmers from all over the world. Although the emergence of weedy rice in East Malaysia on the island of Borneo is very recent, the threat to rice yield has reached an alarming stage. Using 47,027 genotyping-by-sequencing (GBS)-derived SNPs and candidate gene analysis of the plant architecture domestication gene TAC1, we assessed the genetic variations and evolutionary origin of weedy rice in East Malaysia. Our findings revealed two major evolutionary paths for genetically distinct weedy rice types. Whilst the cultivar-like weedy rice are very likely to be the weedy descendant of local coexisting cultivars, the wild-like weedy rice appeared to have arisen through two possible routes: (i) accidental introduction from Peninsular Malaysia weedy rice populations, and (ii) weedy descendants of coexisting cultivars. The outcome of our genetic analyses supports the notion that Sabah cultivars and Peninsular Malaysia weedy rice are the potential progenitors of Sabah weedy rice. Similar TAC1 haplotypes were shared between Malaysian cultivated and weedy rice populations, which further supported the findings of our GBS-SNP analyses. These different strains of weedy rice have convergently evolved shared traits, such as seeds shattering and open tillers. A comparison with our previous simple-sequence repeat-based population genetic analyses highlights the strength of genome-wide SNPs, including detection of admixtures and low-level introgression events. These findings could inform better strategic management for controlling the spread of weedy rice in the region.
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Affiliation(s)
- Maggie Pui San Sudo
- School of Science, Monash University Malaysia, 46150 Bandar Sunway, Selangor, Malaysia
| | - Rupini Yesudasan
- School of Science, Monash University Malaysia, 46150 Bandar Sunway, Selangor, Malaysia
| | - Ting Xiang Neik
- School of Science, Monash University Malaysia, 46150 Bandar Sunway, Selangor, Malaysia; School of Biological Sciences, University of Western Australia, Perth, Australia
| | - Dilipkumar Masilamany
- Rice Research Center, Malaysian Agricultural Research and Development Institute (MARDI), MARDI Seberang Perai, 13200 Kepala Batas, Pulau Pinang, Malaysia
| | - Jayasyaliny Jayaraj
- School of Science, Monash University Malaysia, 46150 Bandar Sunway, Selangor, Malaysia
| | - Su-Sin Teo
- Department of Agriculture, Sabah, Malaysia
| | - Sadequr Rahman
- School of Science, Monash University Malaysia, 46150 Bandar Sunway, Selangor, Malaysia; Monash University Malaysia Genomics Facility, Tropical Medicine and Biology Multidisciplinary Platform, 47500 Bandar Sunway, Selangor, Malaysia
| | - Beng-Kah Song
- School of Science, Monash University Malaysia, 46150 Bandar Sunway, Selangor, Malaysia; Monash University Malaysia Genomics Facility, Tropical Medicine and Biology Multidisciplinary Platform, 47500 Bandar Sunway, Selangor, Malaysia.
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4
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Banerjee A, Roychoudhury A. Functional and molecular characterization of fluoride exporter (FEX) from rice and its constitutive overexpression in Nicotiana benthamiana to promote fluoride tolerance. PLANT CELL REPORTS 2021; 40:1751-1772. [PMID: 34173048 DOI: 10.1007/s00299-021-02737-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
KEY MESSAGE Early induction of OsFEX was insufficient for fluoride adaptation in IR-64. Overexpression of OsFEX in yeast and Nicotiana benthamiana enhanced fluoride tolerance. The present study delineates the regulation of fluoride exporter (FEX) in the fluoride-sensitive rice cultivar, IR-64 and its efficacy in generating high fluoride tolerance in transgenic Nicotiana benthamiana. Gene and protein expression profiling revealed that OsFEX exhibited early induction during fluoride stress in the vegetative and reproductive tissues of IR-64, although the expression was suppressed upon prolonged stress treatment. Analysis of OsFEX promoter in transgenic N. benthamiana, using β-glucuronidase reporter assay confirmed its early inducible nature, since the reporter expression and activity peaked at 12 h of NaF stress, after which it was lowered. OsFEX expression was up regulated in the presence of gibberellic acid (GA) and melatonin, while it was suppressed by abscisic acid (ABA). Complementation of ΔFEX1ΔFEX2 yeast mutants with OsFEX enabled high fluoride tolerance, thus validating the functional efficiency of the transgene. Bioassay of transgenic N. benthamiana lines, expressing OsFEX either under its own promoter or under CaMV35S promoter, established that constitutive overexpression, rather than early induction of OsFEX was essential and crucial for generating fluoride tolerance in the transgenics. Overall, the suppression of OsFEX in the later growth phases of stressed IR-64 due to enhanced ABA conservation and lowered synthesis of GA, as supported by the application of the respective phytohormone biosynthetic inhibitors, such as sodium tungstate and paclobutrazol, accounted for the fluoride-hyperaccumulative nature of the rice cultivar.
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Affiliation(s)
- Aditya Banerjee
- Post Graduate Department of Biotechnology, St. Xavier's College (Autonomous), 30, Mother Teresa Sarani, Kolkata, West Bengal, 700016, India
| | - Aryadeep Roychoudhury
- Post Graduate Department of Biotechnology, St. Xavier's College (Autonomous), 30, Mother Teresa Sarani, Kolkata, West Bengal, 700016, India.
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5
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Singh A, Singh Y, Mahato AK, Jayaswal PK, Singh S, Singh R, Yadav N, Singh AK, Singh PK, Singh R, Kumar R, Septiningsih EM, Balyan HS, Singh NK, Rai V. Allelic sequence variation in the Sub1A, Sub1B and Sub1C genes among diverse rice cultivars and its association with submergence tolerance. Sci Rep 2020; 10:8621. [PMID: 32451398 PMCID: PMC7248102 DOI: 10.1038/s41598-020-65588-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 04/28/2020] [Indexed: 11/24/2022] Open
Abstract
Erratic rainfall leading to flash flooding causes huge yield losses in lowland rice. The traditional varieties and landraces of rice possess variable levels of tolerance to submergence stress, but gene discovery and utilization of these resources has been limited to the Sub1A-1 allele from variety FR13A. Therefore, we analysed the allelic sequence variation in three Sub1 genes in a panel of 179 rice genotypes and its association with submergence tolerance. Population structure and diversity analysis based on a 36-plex genome wide genic-SNP assay grouped these genotypes into two major categories representing Indica and Japonica cultivar groups with further sub-groupings into Indica, Aus, Deepwater and Aromatic-Japonica cultivars. Targetted re-sequencing of the Sub1A, Sub1B and Sub1C genes identfied 7, 7 and 38 SNPs making 8, 9 and 67 SNP haplotypes, respectively. Haplotype networks and phylogenic analysis revealed evolution of Sub1B and Sub1A genes by tandem duplication and divergence of the ancestral Sub1C gene in that order. The alleles of Sub1 genes in tolerant reference variety FR13A seem to have evolved most recently. However, no consistent association could be found between the Sub1 allelic variation and submergence tolerance probably due to low minor allele frequencies and presence of exceptions to the known Sub1A-1 association in the genotype panel. We identified 18 cultivars with non-Sub1A-1 source of submergence tolerance which after further mapping and validation in bi-parental populations will be useful for development of superior flood tolerant rice cultivars.
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Affiliation(s)
- Anuradha Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
- International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India
| | - Yashi Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - Ajay K Mahato
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - Pawan K Jayaswal
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - Sangeeta Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - Renu Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - Neera Yadav
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - A K Singh
- Department of Crop Physiology, Narendra Deo University of Agriculture & Technology, Ayodhya, UP, India
| | - P K Singh
- Department of Genetics and Plant Breeding, Banaras Hindu University, Varanasi, India
| | - Rakesh Singh
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Rajesh Kumar
- Department of Genetics and Plant Breeding, Dr. Rajendra Prasad Central Agricultural University, Samastipur, Bihar, India
| | - Endang M Septiningsih
- International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
- Department of Soil and Crop Sciences, Texas A & M University, TX, 77843, USA
| | - H S Balyan
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India
| | - Nagendra K Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India
| | - Vandna Rai
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, India.
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6
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Yang J, Zhou Y, Wu Q, Chen Y, Zhang P, Zhang Y, Hu W, Wang X, Zhao H, Dong L, Han J, Liu Z, Cao T. Molecular characterization of a novel TaGL3-5A allele and its association with grain length in wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1799-1814. [PMID: 30824973 DOI: 10.1007/s00122-019-03316-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 02/21/2019] [Indexed: 05/19/2023]
Abstract
We isolated a novel allele associated with grain length and grain weight in wheat, TaGL3-5A-G. The TaGL3-5A-G allele frequency is low in wheat, so it has potential for breeding. Selection of large-grain wheat showing big grain sink potential and strong sink activity is becoming an important objective in breeding programs. Here, we cloned a wheat TaGL3-5A gene that was orthologous to rice GL3 and was phylogenetically clustered with both monocot PPKL1 and its expression pattern was similar to grain size change at early and middle stages of seed development. The isolated TaGL3-5A genomic sequence was 10,227 bp long and included 21 exons and 20 introns. Alignment of the TaGL3-5A sequences in Beinong 6 and Yanda 1817 showed a G/A substitution in the 11th exon (position 5946) that would lead to an amino acid change (Met/Ile). Subsequently, a KASP marker was designed based on this SNP. Genotyping of RILs showed that TaGL3-5A was located on the wheat 5AL chromosome and was colocated with a significant grain length QTL in three independent environments and mean value. Association analysis revealed that the TaGL3-5A-G allele was significantly correlated with longer grains and higher thousand-kernel weight. Haplotype association analysis indicated that TaGL3-5A-G could enhance grain traits in combination with TaGS5-3A and TaGW2-6B. The frequency of TaGL3-5A-G was higher in modern cultivars than in landraces but was still low in major Chinese wheat production areas. Additionally, the frequency of the TaGL3-5A-G allele in hexaploid wheat was slightly lower than in Triticum dicoccoides and much lower than in Triticum turgidum. Hence, T. dicoccoides and T. turgidum represent valuable resources for transferring the TaGL3-5A-G allele into common wheat, which should lead to longer grain length.
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Affiliation(s)
- Jian Yang
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Yanjie Zhou
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Qiuhong Wu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yongxing Chen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Panpan Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yu'e Zhang
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Weiguo Hu
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Xicheng Wang
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Hong Zhao
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China
| | - Lingli Dong
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jun Han
- Plant Science and Technology College, Beijing University of Agriculture, Beijing, 102206, China
| | - Zhiyong Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Tingjie Cao
- National Laboratory of Wheat Engineering, Key Laboratory of Wheat Biology and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture, Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
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7
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Ling HQ, Ma B, Shi X, Liu H, Dong L, Sun H, Cao Y, Gao Q, Zheng S, Li Y, Yu Y, Du H, Qi M, Li Y, Lu H, Yu H, Cui Y, Wang N, Chen C, Wu H, Zhao Y, Zhang J, Li Y, Zhou W, Zhang B, Hu W, van Eijk MJT, Tang J, Witsenboer HMA, Zhao S, Li Z, Zhang A, Wang D, Liang C. Genome sequence of the progenitor of wheat A subgenome Triticum urartu. Nature 2018. [PMID: 29743678 DOI: 10.1038/s41586‐018‐0108‐0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Triticum urartu (diploid, AA) is the progenitor of the A subgenome of tetraploid (Triticum turgidum, AABB) and hexaploid (Triticum aestivum, AABBDD) wheat1,2. Genomic studies of T. urartu have been useful for investigating the structure, function and evolution of polyploid wheat genomes. Here we report the generation of a high-quality genome sequence of T. urartu by combining bacterial artificial chromosome (BAC)-by-BAC sequencing, single molecule real-time whole-genome shotgun sequencing 3 , linked reads and optical mapping4,5. We assembled seven chromosome-scale pseudomolecules and identified protein-coding genes, and we suggest a model for the evolution of T. urartu chromosomes. Comparative analyses with genomes of other grasses showed gene loss and amplification in the numbers of transposable elements in the T. urartu genome. Population genomics analysis of 147 T. urartu accessions from across the Fertile Crescent showed clustering of three groups, with differences in altitude and biostress, such as powdery mildew disease. The T. urartu genome assembly provides a valuable resource for studying genetic variation in wheat and related grasses, and promises to facilitate the discovery of genes that could be useful for wheat improvement.
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Affiliation(s)
- Hong-Qing Ling
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. .,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
| | - Bin Ma
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xiaoli Shi
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hui Liu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Lingli Dong
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hua Sun
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yinghao Cao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Qiang Gao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Shusong Zheng
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Ye Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Ying Yu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Huilong Du
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Ming Qi
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yan Li
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hongwei Lu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hua Yu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yan Cui
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Ning Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Chunlin Chen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Huilan Wu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yan Zhao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Juncheng Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yiwen Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Wenjuan Zhou
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Bairu Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Weijuan Hu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | | | | | | | | | - Zhensheng Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Aimin Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
| | - Daowen Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. .,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
| | - Chengzhi Liang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. .,State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
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8
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Genome sequence of the progenitor of wheat A subgenome Triticum urartu. Nature 2018; 557:424-428. [PMID: 29743678 PMCID: PMC6784869 DOI: 10.1038/s41586-018-0108-0] [Citation(s) in RCA: 277] [Impact Index Per Article: 46.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Accepted: 03/29/2018] [Indexed: 12/14/2022]
Abstract
Triticum urartu (diploid, AA) is the progenitor of the A subgenome of tetraploid (Triticum turgidum, AABB) and hexaploid (Triticum aestivum, AABBDD) wheat1,2. Genomic studies of T. urartu have been useful for investigating the structure, function and evolution of polyploid wheat genomes. Here we report the generation of a high-quality genome sequence of T. urartu by combining bacterial artificial chromosome (BAC)-by-BAC sequencing, single molecule real-time whole-genome shotgun sequencing3, linked reads and optical mapping4,5. We assembled seven chromosome-scale pseudomolecules and identified protein-coding genes, and we suggest a model for the evolution of T. urartu chromosomes. Comparative analyses with genomes of other grasses showed gene loss and amplification in the numbers of transposable elements in the T. urartu genome. Population genomics analysis of 147 T. urartu accessions from across the Fertile Crescent showed clustering of three groups, with differences in altitude and biostress, such as powdery mildew disease. The T. urartu genome assembly provides a valuable resource for studying genetic variation in wheat and related grasses, and promises to facilitate the discovery of genes that could be useful for wheat improvement. The genome sequence of Triticum urartu, the progenitor of the A subgenome of hexaploid wheat, provides insight into genome duplication during grass evolution.
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Jayaswal PK, Dogra V, Shanker A, Sharma TR, Singh NK. A tree of life based on ninety-eight expressed genes conserved across diverse eukaryotic species. PLoS One 2017; 12:e0184276. [PMID: 28922368 PMCID: PMC5603157 DOI: 10.1371/journal.pone.0184276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 08/21/2017] [Indexed: 01/07/2023] Open
Abstract
Rapid advances in DNA sequencing technologies have resulted in the accumulation of large data sets in the public domain, facilitating comparative studies to provide novel insights into the evolution of life. Phylogenetic studies across the eukaryotic taxa have been reported but on the basis of a limited number of genes. Here we present a genome-wide analysis across different plant, fungal, protist, and animal species, with reference to the 36,002 expressed genes of the rice genome. Our analysis revealed 9831 genes unique to rice and 98 genes conserved across all 49 eukaryotic species analysed. The 98 genes conserved across diverse eukaryotes mostly exhibited binding and catalytic activities and shared common sequence motifs; and hence appeared to have a common origin. The 98 conserved genes belonged to 22 functional gene families including 26S protease, actin, ADP–ribosylation factor, ATP synthase, casein kinase, DEAD-box protein, DnaK, elongation factor 2, glyceraldehyde 3-phosphate, phosphatase 2A, ras-related protein, Ser/Thr protein phosphatase family protein, tubulin, ubiquitin and others. The consensus Bayesian eukaryotic tree of life developed in this study demonstrated widely separated clades of plants, fungi, and animals. Musa acuminata provided an evolutionary link between monocotyledons and dicotyledons, and Salpingoeca rosetta provided an evolutionary link between fungi and animals, which indicating that protozoan species are close relatives of fungi and animals. The divergence times for 1176 species pairs were estimated accurately by integrating fossil information with synonymous substitution rates in the comprehensive set of 98 genes. The present study provides valuable insight into the evolution of eukaryotes.
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Affiliation(s)
- Pawan Kumar Jayaswal
- National Research Centre on Plant Biotechnology, IARI, Pusa, New Delhi, India
- Banasthali University, Banasthali, Rajasthan, India
| | - Vivek Dogra
- National Research Centre on Plant Biotechnology, IARI, Pusa, New Delhi, India
| | - Asheesh Shanker
- Bioinformatics Programme, Centre for Biological Sciences, Central University of South Bihar, Patna, Bihar, India
| | - Tilak Raj Sharma
- National Research Centre on Plant Biotechnology, IARI, Pusa, New Delhi, India
| | - Nagendra Kumar Singh
- National Research Centre on Plant Biotechnology, IARI, Pusa, New Delhi, India
- * E-mail:
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Small-scale gene duplications played a major role in the recent evolution of wheat chromosome 3B. Genome Biol 2015; 16:188. [PMID: 26353816 PMCID: PMC4563886 DOI: 10.1186/s13059-015-0754-6] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 08/13/2015] [Indexed: 02/06/2023] Open
Abstract
Background Bread wheat is not only an important crop, but its large (17 Gb), highly repetitive, and hexaploid genome makes it a good model to study the organization and evolution of complex genomes. Recently, we produced a high quality reference sequence of wheat chromosome 3B (774 Mb), which provides an excellent opportunity to study the evolutionary dynamics of a large and polyploid genome, specifically the impact of single gene duplications. Results We find that 27 % of the 3B predicted genes are non-syntenic with the orthologous chromosomes of Brachypodium distachyon, Oryza sativa, and Sorghum bicolor, whereas, by applying the same criteria, non-syntenic genes represent on average only 10 % of the predicted genes in these three model grasses. These non-syntenic genes on 3B have high sequence similarity to at least one other gene in the wheat genome, indicating that hexaploid wheat has undergone massive small-scale interchromosomal gene duplications compared to other grasses. Insertions of non-syntenic genes occurred at a similar rate along the chromosome, but these genes tend to be retained at a higher frequency in the distal, recombinogenic regions. The ratio of non-synonymous to synonymous substitution rates showed a more relaxed selection pressure for non-syntenic genes compared to syntenic genes, and gene ontology analysis indicated that non-syntenic genes may be enriched in functions involved in disease resistance. Conclusion Our results highlight the major impact of single gene duplications on the wheat gene complement and confirm the accelerated evolution of the Triticeae lineage among grasses. Electronic supplementary material The online version of this article (doi:10.1186/s13059-015-0754-6) contains supplementary material, which is available to authorized users.
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Single-copy gene based 50 K SNP chip for genetic studies and molecular breeding in rice. Sci Rep 2015; 5:11600. [PMID: 26111882 PMCID: PMC4481378 DOI: 10.1038/srep11600] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 05/26/2015] [Indexed: 11/17/2022] Open
Abstract
Single nucleotide polymorphism (SNP) is the most abundant DNA sequence variation present in plant genomes. Here, we report the design and validation of a unique genic-SNP genotyping chip for genetic and evolutionary studies as well as molecular breeding applications in rice. The chip incorporates 50,051 SNPs from 18,980 different genes spanning 12 rice chromosomes, including 3,710 single-copy (SC) genes conserved between wheat and rice, 14,959 SC genes unique to rice, 194 agronomically important cloned rice genes and 117 multi-copy rice genes. Assays with this chip showed high success rate and reproducibility because of the SC gene based array with no sequence redundancy and cross-hybridisation problems. The usefulness of the chip in genetic diversity and phylogenetic studies of cultivated and wild rice germplasm was demonstrated. Furthermore, its efficacy was validated for analysing background recovery in improved mega rice varieties with submergence tolerance developed through marker-assisted backcross breeding.
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Singh BP, Jayaswal PK, Singh B, Singh PK, Kumar V, Mishra S, Singh N, Panda K, Singh NK. Natural allelic diversity in OsDREB1F gene in the Indian wild rice germplasm led to ascertain its association with drought tolerance. PLANT CELL REPORTS 2015; 34:993-1004. [PMID: 25693492 DOI: 10.1007/s00299-015-1760-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2014] [Revised: 12/27/2014] [Accepted: 01/12/2015] [Indexed: 05/17/2023]
Abstract
Three coding SNPs and one haplotype identified in the OsDREB1F gene have potential to be associated with drought tolerance in rice. Drought is a serious constraint to rice production worldwide, that can be addressed by deployment of drought tolerant genes. OsDREB1F, one of the most potent drought tolerance transcription activator genes, was re-sequenced for allele mining and association study in a set of 136 wild rice accessions and four cultivated rice. This analysis led to identify 22 SNPs with eight haplotypes based on allelic variations in the accessions used. The nucleotide variation-based neutrality tests suggested that the OsDREB1F gene has been subjected to purifying selection in the studied set of rice germplasm. Six different OsDREB1F protein variants were identified on the basis of translated amino acid residues amongst the orthologues. Five protein variants were truncated due to deletions in coding region and found susceptible to drought stress. Association study revealed that three coding SNPs of this gene were significantly associated with drought tolerance. One OsDREB1F variant in the activation domain of OsDREB1F gene which led to conversion of aspartate amino acid to glutamate was found to be associated with drought tolerance. Three-dimensional homology modeling assisted to understand the functional significance of this identified potential allele for drought tolerance in rice. The natural allelic variants mined in the OsDREB1F gene can be further used in translational genomics for improving the water use efficiency in rice.
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Affiliation(s)
- Bikram Pratap Singh
- National Research Center on Plant Biotechnology, IARI, New Delhi, 110012, India
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Roy Choudhury D, Singh N, Singh AK, Kumar S, Srinivasan K, Tyagi RK, Ahmad A, Singh NK, Singh R. Analysis of genetic diversity and population structure of rice germplasm from north-eastern region of India and development of a core germplasm set. PLoS One 2014; 9:e113094. [PMID: 25412256 PMCID: PMC4239046 DOI: 10.1371/journal.pone.0113094] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Accepted: 10/18/2014] [Indexed: 11/30/2022] Open
Abstract
The North-Eastern region (NER) of India, comprising of Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland and Tripura, is a hot spot for genetic diversity and the most probable origin of rice. North-east rice collections are known to possess various agronomically important traits like biotic and abiotic stress tolerance, unique grain and cooking quality. The genetic diversity and associated population structure of 6,984 rice accessions, originating from NER, were assessed using 36 genome wide unlinked single nucleotide polymorphism (SNP) markers distributed across the 12 rice chromosomes. All of the 36 SNP loci were polymorphic and bi-allelic, contained five types of base substitutions and together produced nine types of alleles. The polymorphic information content (PIC) ranged from 0.004 for Tripura to 0.375 for Manipur and major allele frequency ranged from 0.50 for Assam to 0.99 for Tripura. Heterozygosity ranged from 0.002 in Nagaland to 0.42 in Mizoram and gene diversity ranged from 0.006 in Arunachal Pradesh to 0.50 in Manipur. The genetic relatedness among the rice accessions was evaluated using an unrooted phylogenetic tree analysis, which grouped all accessions into three major clusters. For determining population structure, populations K = 1 to K = 20 were tested and population K = 3 was present in all the states, with the exception of Meghalaya and Manipur where, K = 5 and K = 4 populations were present, respectively. Principal Coordinate Analysis (PCoA) showed that accessions were distributed according to their population structure. AMOVA analysis showed that, maximum diversity was partitioned at the individual accession level (73% for Nagaland, 58% for Arunachal Pradesh and 57% for Tripura). Using POWERCORE software, a core set of 701 accessions was obtained, which accounted for approximately 10% of the total NE India collections, representing 99.9% of the allelic diversity. The rice core set developed will be a valuable resource for future genomic studies and crop improvement strategies.
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Affiliation(s)
- Debjani Roy Choudhury
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
| | - Nivedita Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
| | - Amit Kumar Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
| | - Sundeep Kumar
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
| | - Kalyani Srinivasan
- Division of Germplasm Conservation, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
| | - R. K. Tyagi
- Division of Germplasm Conservation, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
| | - Altaf Ahmad
- Department of Botany, Faculty of Science, Jamia Hamdard (Hamdard University), New Delhi, 110062, India
| | - N. K. Singh
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012, India
| | - Rakesh Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, 110 012, India
- * E-mail:
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Singh N, Choudhury DR, Singh AK, Kumar S, Srinivasan K, Tyagi RK, Singh NK, Singh R. Comparison of SSR and SNP markers in estimation of genetic diversity and population structure of Indian rice varieties. PLoS One 2013; 8:e84136. [PMID: 24367635 PMCID: PMC3868579 DOI: 10.1371/journal.pone.0084136] [Citation(s) in RCA: 95] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Accepted: 11/12/2013] [Indexed: 12/02/2022] Open
Abstract
Simple sequence repeat (SSR) and Single Nucleotide Polymorphic (SNP), the two most robust markers for identifying rice varieties were compared for assessment of genetic diversity and population structure. Total 375 varieties of rice from various regions of India archived at the Indian National GeneBank, NBPGR, New Delhi, were analyzed using thirty six genetic markers, each of hypervariable SSR (HvSSR) and SNP which were distributed across 12 rice chromosomes. A total of 80 alleles were amplified with the SSR markers with an average of 2.22 alleles per locus whereas, 72 alleles were amplified with SNP markers. Polymorphic information content (PIC) values for HvSSR ranged from 0.04 to 0.5 with an average of 0.25. In the case of SNP markers, PIC values ranged from 0.03 to 0.37 with an average of 0.23. Genetic relatedness among the varieties was studied; utilizing an unrooted tree all the genotypes were grouped into three major clusters with both SSR and SNP markers. Analysis of molecular variance (AMOVA) indicated that maximum diversity was partitioned between and within individual level but not between populations. Principal coordinate analysis (PCoA) with SSR markers showed that genotypes were uniformly distributed across the two axes with 13.33% of cumulative variation whereas, in case of SNP markers varieties were grouped into three broad groups across two axes with 45.20% of cumulative variation. Population structure were tested using K values from 1 to 20, but there was no clear population structure, therefore Ln(PD) derived Δk was plotted against the K to determine the number of populations. In case of SSR maximum Δk was at K=5 whereas, in case of SNP maximum Δk was found at K=15, suggesting that resolution of population was higher with SNP markers, but SSR were more efficient for diversity analysis.
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Affiliation(s)
- Nivedita Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
| | - Debjani Roy Choudhury
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
| | - Amit Kumar Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
| | - Sundeep Kumar
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
| | - Kalyani Srinivasan
- Germplasm Conservation Division, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
| | - R. K. Tyagi
- Germplasm Conservation Division, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
| | - N. K. Singh
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, Delhi, India
| | - Rakesh Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, Delhi, India
- * E-mail:
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Dolmatovich TV, Malyshev SV, Sosnikhina SP, Tsvetkova NV, Kartel NA, Voylokov AV. Mapping of meiotic genes in rye (Secale cereale L.): Localization of sy19 mutation, impairing homologous synapsis, by means of isozyme and microsatellite markers. RUSS J GENET+ 2013. [DOI: 10.1134/s1022795413030058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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16
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Dolmatovich TV, Malyshev SV, Sosnikhina SP, Tsvetkova NV, Kartel NA, Voylokov AV. Mapping of meiotic genes in rye (Secale cereale L.): Localization of sy18 mutation with impaired homologous synapsis using microsatellite markers. RUSS J GENET+ 2013. [DOI: 10.1134/s1022795413040030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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17
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CHEN QIUFANG, YA HUIYUAN, LI SHIMING, YANG YANPING, QIN GUANGYONG, AN XUELI, WANG DAOWEN, ZHANG KUNPU, JIAO ZHEN. RETRACTED ARTICLE: Isolation and analysis of homoeologous genes encoding gibberellin 2-oxidase 3 isozymes in common wheat. J Genet 2012. [DOI: 10.1007/s12041-012-0186-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Genomic associations for drought tolerance on the short arm of wheat chromosome 4B. Funct Integr Genomics 2012; 12:447-64. [PMID: 22476619 DOI: 10.1007/s10142-012-0276-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2011] [Revised: 03/06/2012] [Accepted: 03/19/2012] [Indexed: 02/07/2023]
Abstract
Drought is a major constraint to maintaining yield stability of wheat in rain fed and limited irrigation agro-ecosystems. Genetic improvement for drought tolerance in wheat has been difficult due to quantitative nature of the trait involving multiple genes with variable effects and lack of effective selection strategies employing molecular markers. Here, a framework molecular linkage map was constructed using 173 DNA markers randomly distributed over the 21 wheat chromosomes. Grain yield and other drought-responsive shoot and root traits were phenotyped for 2 years under drought stress and well-watered conditions on a mapping population of recombinant inbred lines (RILs) derived from a cross between drought-sensitive semidwarf variety "WL711" and drought-tolerant traditional variety "C306". Thirty-seven genomics region were identified for 10 drought-related traits at 18 different chromosomal locations but most of these showed small inconsistent effects. A consistent genomic region associated with drought susceptibility index (qDSI.4B.1) was mapped on the short arm of chromosome 4B, which also controlled grain yield per plant, harvest index, and root biomass under drought. Transcriptome profiling of the parents and two RIL bulks with extreme phenotypes revealed five genes underlying this genomic region that were differentially expressed between the parents as well as the two RIL bulks, suggesting that they are likely candidates for drought tolerance. Syntenic genomic regions of barley, rice, sorghum, and maize genomes were identified that also harbor genes for drought tolerance. Markers tightly linked to this genomic region in combination with other important regions on group 7 chromosomes may be used in marker-assisted breeding for drought tolerance in wheat.
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Singh NK, Gupta DK, Jayaswal PK, Mahato AK, Dutta S, Singh S, Bhutani S, Dogra V, Singh BP, Kumawat G, Pal JK, Pandit A, Singh A, Rawal H, Kumar A, Rama Prashat G, Khare A, Yadav R, Raje RS, Singh MN, Datta S, Fakrudin B, Wanjari KB, Kansal R, Dash PK, Jain PK, Bhattacharya R, Gaikwad K, Mohapatra T, Srinivasan R, Sharma TR. The first draft of the pigeonpea genome sequence. JOURNAL OF PLANT BIOCHEMISTRY AND BIOTECHNOLOGY 2011; 21:98-112. [PMID: 24431589 PMCID: PMC3886394 DOI: 10.1007/s13562-011-0088-8] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2011] [Accepted: 10/07/2011] [Indexed: 05/18/2023]
Abstract
Pigeonpea (Cajanus cajan) is an important grain legume of the Indian subcontinent, South-East Asia and East Africa. More than eighty five percent of the world pigeonpea is produced and consumed in India where it is a key crop for food and nutritional security of the people. Here we present the first draft of the genome sequence of a popular pigeonpea variety 'Asha'. The genome was assembled using long sequence reads of 454 GS-FLX sequencing chemistry with mean read lengths of >550 bp and >10-fold genome coverage, resulting in 510,809,477 bp of high quality sequence. Total 47,004 protein coding genes and 12,511 transposable elements related genes were predicted. We identified 1,213 disease resistance/defense response genes and 152 abiotic stress tolerance genes in the pigeonpea genome that make it a hardy crop. In comparison to soybean, pigeonpea has relatively fewer number of genes for lipid biosynthesis and larger number of genes for cellulose synthesis. The sequence contigs were arranged in to 59,681 scaffolds, which were anchored to eleven chromosomes of pigeonpea with 347 genic-SNP markers of an intra-species reference genetic map. Eleven pigeonpea chromosomes showed low but significant synteny with the twenty chromosomes of soybean. The genome sequence was used to identify large number of hypervariable 'Arhar' simple sequence repeat (HASSR) markers, 437 of which were experimentally validated for PCR amplification and high rate of polymorphism among pigeonpea varieties. These markers will be useful for fingerprinting and diversity analysis of pigeonpea germplasm and molecular breeding applications. This is the first plant genome sequence completed entirely through a network of Indian institutions led by the Indian Council of Agricultural Research and provides a valuable resource for the pigeonpea variety improvement.
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Affiliation(s)
- Nagendra K. Singh
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Deepak K. Gupta
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Pawan K. Jayaswal
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Ajay K. Mahato
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Sutapa Dutta
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Sangeeta Singh
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Shefali Bhutani
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Vivek Dogra
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Bikram P. Singh
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Giriraj Kumawat
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Jitendra K. Pal
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Awadhesh Pandit
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Archana Singh
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Hukum Rawal
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Akhilesh Kumar
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - G. Rama Prashat
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Ambika Khare
- />Division of Genetics, Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Rekha Yadav
- />Division of Genetics, Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Ranjit S. Raje
- />Division of Genetics, Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Mahendra N. Singh
- />Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP 221005 India
| | - Subhojit Datta
- />Indian Institute of Pulses Research, Kanpur, UP 208024 India
| | - Bashasab Fakrudin
- />University of Agricultural Sciences, Dharwad, Karnataka 580005 India
| | - Keshav B. Wanjari
- />Panjabrao Deshmukh Krishi Vidyapeeth, Krishinagar, Akola, Maharasthra 444 104 India
| | - Rekha Kansal
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Prasanta K. Dash
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Pradeep K. Jain
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Ramcharan Bhattacharya
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Kishor Gaikwad
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Trilochan Mohapatra
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - R. Srinivasan
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
| | - Tilak R. Sharma
- />National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi, 110 012 India
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Bandopadhyay R, Rustgi S, Chaudhuri RK, Khurana P, Khurana JP, Tyagi AK, Balyan HS, Houben A, Gupta PK. Use of methylation filtration and C(0)t fractionation for analysis of genome composition and comparative genomics in bread wheat. J Genet Genomics 2011; 38:315-25. [PMID: 21777856 DOI: 10.1016/j.jgg.2011.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2010] [Revised: 06/08/2011] [Accepted: 06/13/2011] [Indexed: 11/16/2022]
Abstract
We investigated the compositional and structural differences in sequences derived from different fractions of wheat genomic DNA obtained using methylation filtration and C(0)t fractionation. Comparative analysis of these sequences revealed large compositional and structural variations in terms of GC content, different structural elements including repeat sequences (e.g., transposable elements and simple sequence repeats), protein coding genes, and non-coding RNA genes. A correlation between methylation status [determined on the basis of selective inclusion/exclusion in methylation-filtered (MF) library] of different repeat elements and expression level was observed. The expression levels were determined by comparing MF sequences with expressed sequence tags (ESTs) available in the public domain. Only a limited overlap among MF, high C(0)t (HC), and ESTs was observed, suggesting that these sequences may largely either represent the low-copy non-transcribed sequences or include genes with low expression levels. Thus, these results indicated a need to study MF and HC sequences along with ESTs to fully appreciate complexity of wheat gene space.
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Affiliation(s)
- Rajib Bandopadhyay
- Department of Genetics & Plant Breeding, Ch. Charan Singh University, Meerut, India
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Genomic resources in horticultural crops: Status, utility and challenges. Biotechnol Adv 2011; 29:199-209. [DOI: 10.1016/j.biotechadv.2010.11.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2010] [Revised: 09/04/2010] [Accepted: 09/26/2010] [Indexed: 01/02/2023]
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Dutta S, Kumawat G, Singh BP, Gupta DK, Singh S, Dogra V, Gaikwad K, Sharma TR, Raje RS, Bandhopadhya TK, Datta S, Singh MN, Bashasab F, Kulwal P, Wanjari KB, K Varshney R, Cook DR, Singh NK. Development of genic-SSR markers by deep transcriptome sequencing in pigeonpea [Cajanus cajan (L.) Millspaugh]. BMC PLANT BIOLOGY 2011; 11:17. [PMID: 21251263 PMCID: PMC3036606 DOI: 10.1186/1471-2229-11-17] [Citation(s) in RCA: 134] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2010] [Accepted: 01/20/2011] [Indexed: 05/18/2023]
Abstract
BACKGROUND Pigeonpea [Cajanus cajan (L.) Millspaugh], one of the most important food legumes of semi-arid tropical and subtropical regions, has limited genomic resources, particularly expressed sequence based (genic) markers. We report a comprehensive set of validated genic simple sequence repeat (SSR) markers using deep transcriptome sequencing, and its application in genetic diversity analysis and mapping. RESULTS In this study, 43,324 transcriptome shotgun assembly unigene contigs were assembled from 1.696 million 454 GS-FLX sequence reads of separate pooled cDNA libraries prepared from leaf, root, stem and immature seed of two pigeonpea varieties, Asha and UPAS 120. A total of 3,771 genic-SSR loci, excluding homopolymeric and compound repeats, were identified; of which 2,877 PCR primer pairs were designed for marker development. Dinucleotide was the most common repeat motif with a frequency of 60.41%, followed by tri- (34.52%), hexa- (2.62%), tetra- (1.67%) and pentanucleotide (0.76%) repeat motifs. Primers were synthesized and tested for 772 of these loci with repeat lengths of ≥ 18 bp. Of these, 550 markers were validated for consistent amplification in eight diverse pigeonpea varieties; 71 were found to be polymorphic on agarose gel electrophoresis. Genetic diversity analysis was done on 22 pigeonpea varieties and eight wild species using 20 highly polymorphic genic-SSR markers. The number of alleles at these loci ranged from 4-10 and the polymorphism information content values ranged from 0.46 to 0.72. Neighbor-joining dendrogram showed distinct separation of the different groups of pigeonpea cultivars and wild species. Deep transcriptome sequencing of the two parental lines helped in silico identification of polymorphic genic-SSR loci to facilitate the rapid development of an intra-species reference genetic map, a subset of which was validated for expected allelic segregation in the reference mapping population. CONCLUSION We developed 550 validated genic-SSR markers in pigeonpea using deep transcriptome sequencing. From these, 20 highly polymorphic markers were used to evaluate the genetic relationship among species of the genus Cajanus. A comprehensive set of genic-SSR markers was developed as an important genomic resource for diversity analysis and genetic mapping in pigeonpea.
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Affiliation(s)
- Sutapa Dutta
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
- Department of Molecular Biology and Biotechnology, University of Kalyani, Kalyani, WB 741235, India
| | - Giriraj Kumawat
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Bikram P Singh
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Deepak K Gupta
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Sangeeta Singh
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Vivek Dogra
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Kishor Gaikwad
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Tilak R Sharma
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
| | - Ranjeet S Raje
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Tapas K Bandhopadhya
- Department of Molecular Biology and Biotechnology, University of Kalyani, Kalyani, WB 741235, India
| | - Subhojit Datta
- Indian Institute of Pulses Research, Kanpur, UP 208024, India
| | - Mahendra N Singh
- Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, UP 221005, India
| | - Fakrudin Bashasab
- University of Agricultural Sciences, Dharwad, Karnataka 580005, India
| | - Pawan Kulwal
- Panjabrao Deshmukh Krishi Vidyapeeth, Krishinagar, Akola, Maharasthra 444 104, India
| | - KB Wanjari
- Panjabrao Deshmukh Krishi Vidyapeeth, Krishinagar, Akola, Maharasthra 444 104, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics, Patancheru, AP 502324, India
| | - Douglas R Cook
- Department of Plant Pathology, University of California, Davis, CA 95616-8680, USA
| | - Nagendra K Singh
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110 012, India
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Gene conversion in angiosperm genomes with an emphasis on genes duplicated by polyploidization. Genes (Basel) 2011; 2:1-20. [PMID: 24710136 PMCID: PMC3924838 DOI: 10.3390/genes2010001] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2010] [Revised: 12/06/2010] [Accepted: 01/06/2011] [Indexed: 11/16/2022] Open
Abstract
Angiosperm genomes differ from those of mammals by extensive and recursive polyploidizations. The resulting gene duplication provides opportunities both for genetic innovation, and for concerted evolution. Though most genes may escape conversion by their homologs, concerted evolution of duplicated genes can last for millions of years or longer after their origin. Indeed, paralogous genes on two rice chromosomes duplicated an estimated 60–70 million years ago have experienced gene conversion in the past 400,000 years. Gene conversion preserves similarity of paralogous genes, but appears to accelerate their divergence from orthologous genes in other species. The mutagenic nature of recombination coupled with the buffering effect provided by gene redundancy, may facilitate the evolution of novel alleles that confer functional innovations while insulating biological fitness of affected plants. A mixed evolutionary model, characterized by a primary birth-and-death process and occasional homoeologous recombination and gene conversion, may best explain the evolution of multigene families.
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Wang X, Tang H, Paterson AH. Seventy million years of concerted evolution of a homoeologous chromosome pair, in parallel, in major Poaceae lineages. THE PLANT CELL 2011; 23:27-37. [PMID: 21266659 PMCID: PMC3051248 DOI: 10.1105/tpc.110.080622] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Whole genome duplication ~70 million years ago provided raw material for Poaceae (grass) diversification. Comparison of rice (Oryza sativa), sorghum (Sorghum bicolor), maize (Zea mays), and Brachypodium distachyon genomes revealed that one paleo-duplicated chromosome pair has experienced very different evolution than all the others. For tens of millions of years, the two chromosomes have experienced illegitimate recombination that has been temporally restricted in a stepwise manner, producing structural stratification in the chromosomes. These strata formed independently in different grass lineages, with their similarities (low sequence divergence between paleo-duplicated genes) preserved in parallel for millions of years since the divergence of these lineages. The pericentromeric region of this homeologous chromosome pair accounts for two-thirds of the gene content differences between the modern chromosomes. Both intriguing and perplexing is a distal chromosomal region with the greatest DNA similarity between surviving duplicated genes but also with the highest concentration of lineage-specific gene pairs found anywhere in these genomes and with a significantly elevated gene evolutionary rate. Intragenomic similarity near this chromosomal terminus may be important in hom(e)ologous chromosome pairing. Chromosome structural stratification, together with enrichment of autoimmune response-related (nucleotide binding site-leucine-rich repeat) genes and accelerated DNA rearrangement and gene loss, confer a striking resemblance of this grass chromosome pair to the sex chromosomes of other taxa.
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Affiliation(s)
- Xiyin Wang
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602
- Center for Genomics and Computational Biology, School of Life Sciences, and School of Sciences, Hebei United University, Tangshan, Hebei 063000, China
| | - Haibao Tang
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602
- Department of Plant Biology, University of Georgia, Athens, Georgia 30602
| | - Andrew H. Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602
- Department of Plant Biology, University of Georgia, Athens, Georgia 30602
- Address correspondence to
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Sharma S, Sreenivasulu N, Harshavardhan VT, Seiler C, Sharma S, Khalil ZN, Akhunov E, Sehgal SK, Röder MS. Delineating the structural, functional and evolutionary relationships of sucrose phosphate synthase gene family II in wheat and related grasses. BMC PLANT BIOLOGY 2010; 10:134. [PMID: 20591144 PMCID: PMC3017794 DOI: 10.1186/1471-2229-10-134] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2010] [Accepted: 06/30/2010] [Indexed: 05/18/2023]
Abstract
BACKGROUND Sucrose phosphate synthase (SPS) is an important component of the plant sucrose biosynthesis pathway. In the monocotyledonous Poaceae, five SPS genes have been identified. Here we present a detailed analysis of the wheat SPSII family in wheat. A set of homoeologue-specific primers was developed in order to permit both the detection of sequence variation, and the dissection of the individual contribution of each homoeologue to the global expression of SPSII. RESULTS The expression in bread wheat over the course of development of various sucrose biosynthesis genes monitored on an Affymetrix array showed that the SPS genes were regulated over time and space. SPSII homoeologue-specific assays were used to show that the three homoeologues contributed differentially to the global expression of SPSII. Genetic mapping placed the set of homoeoloci on the short arms of the homoeologous group 3 chromosomes. A resequencing of the A and B genome copies allowed the detection of four haplotypes at each locus. The 3B copy includes an unspliced intron. A comparison of the sequences of the wheat SPSII orthologues present in the diploid progenitors einkorn, goatgrass and Triticum speltoides, as well as in the more distantly related species barley, rice, sorghum and purple false brome demonstrated that intronic sequence was less well conserved than exonic. Comparative sequence and phylogenetic analysis of SPSII gene showed that false purple brome was more similar to Triticeae than to rice. Wheat - rice synteny was found to be perturbed at the SPS region. CONCLUSION The homoeologue-specific assays will be suitable to derive associations between SPS functionality and key phenotypic traits. The amplicon sequences derived from the homoeologue-specific primers are informative regarding the evolution of SPSII in a polyploid context.
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Affiliation(s)
- Shailendra Sharma
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, D-06466 Gatersleben, Germany
- Sardar Vallabh Bhai Patel University of Agriculture and Technology, Modipuram, Meerut, Uttar Pradesh 250110, India
- Iwate Biotechnology Research Center, Narita 22-174-4, Kitakami, Iwate 024-0003, Japan
| | - Nese Sreenivasulu
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, D-06466 Gatersleben, Germany
| | | | - Christiane Seiler
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, D-06466 Gatersleben, Germany
| | - Shiveta Sharma
- Plant Breeding Institute, Christian-Albrechts University of Kiel, Olshausenstrasse 40, 24098 Kiel Germany
| | - Zaynali Nezhad Khalil
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, D-06466 Gatersleben, Germany
- Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, 841568311, Isfahan, Iran
| | - Eduard Akhunov
- Department of Plant Pathology, Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS 66506, USA
| | - Sunish Kumar Sehgal
- Department of Plant Pathology, Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS 66506, USA
| | - Marion S Röder
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, D-06466 Gatersleben, Germany
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d'Aloisio E, Paolacci AR, Dhanapal AP, Tanzarella OA, Porceddu E, Ciaffi M. The Protein Disulfide Isomerase gene family in bread wheat (T. aestivum L.). BMC PLANT BIOLOGY 2010; 10:101. [PMID: 20525253 PMCID: PMC3017771 DOI: 10.1186/1471-2229-10-101] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2010] [Accepted: 06/03/2010] [Indexed: 05/20/2023]
Abstract
BACKGROUND The Protein Disulfide Isomerase (PDI) gene family encodes several PDI and PDI-like proteins containing thioredoxin domains and controlling diversified metabolic functions, including disulfide bond formation and isomerisation during protein folding. Genomic, cDNA and promoter sequences of the three homologous wheat genes encoding the "typical" PDI had been cloned and characterized in a previous work. The purpose of present research was the cloning and characterization of the complete set of genes encoding PDI and PDI like proteins in bread wheat (Triticum aestivum cv Chinese Spring) and the comparison of their sequence, structure and expression with homologous genes from other plant species. RESULTS Eight new non-homologous wheat genes were cloned and characterized. The nine PDI and PDI-like sequences of wheat were located in chromosome regions syntenic to those in rice and assigned to eight plant phylogenetic groups. The nine wheat genes differed in their sequences, genomic organization as well as in the domain composition and architecture of their deduced proteins; conversely each of them showed high structural conservation with genes from other plant species in the same phylogenetic group. The extensive quantitative RT-PCR analysis of the nine genes in a set of 23 wheat samples, including tissues and developmental stages, showed their constitutive, even though highly variable expression. CONCLUSIONS The nine wheat genes showed high diversity, while the members of each phylogenetic group were highly conserved even between taxonomically distant plant species like the moss Physcomitrella patens. Although constitutively expressed the nine wheat genes were characterized by different expression profiles reflecting their different genomic organization, protein domain architecture and probably promoter sequences; the high conservation among species indicated the ancient origin and diversification of the still evolving gene family. The comprehensive structural and expression characterization of the complete set of PDI and PDI-like wheat genes represents a basis for the functional characterization of this gene family in the hexaploid context of bread wheat.
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Affiliation(s)
- Elisa d'Aloisio
- Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy
| | - Anna R Paolacci
- Dipartimento di Agrobiologia e Agrochimica, Università della Tuscia, Via S. Camillo De Lellis, 01100 Viterbo, Italy
| | - Arun P Dhanapal
- Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy
| | - Oronzo A Tanzarella
- Dipartimento di Agrobiologia e Agrochimica, Università della Tuscia, Via S. Camillo De Lellis, 01100 Viterbo, Italy
| | - Enrico Porceddu
- Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy
- Dipartimento di Agrobiologia e Agrochimica, Università della Tuscia, Via S. Camillo De Lellis, 01100 Viterbo, Italy
| | - Mario Ciaffi
- Dipartimento di Agrobiologia e Agrochimica, Università della Tuscia, Via S. Camillo De Lellis, 01100 Viterbo, Italy
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27
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Forrest KL, Bhave M. Physical mapping of wheat aquaporin genes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2010; 120:863-873. [PMID: 19924390 DOI: 10.1007/s00122-009-1217-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2009] [Accepted: 11/03/2009] [Indexed: 05/28/2023]
Abstract
Aquaporins are water channel proteins that control the flow of water across cellular membranes and play vital roles in all aspects of plant-water relations. Our previous identification of 35 wheat PIP and TIP aquaporin genes showed they formed a large family with many conserved features that are thought to be important in structure and function. The present work focussed on determining the positions of these genes in the wheat genome in order to help investigate their functions in water uptake and transport. Genomic locations of wheat PIPs and TIPs were predicted using a number of reported rice-wheat comparative maps and additional in silico approaches. Physical mapping of select genes utilising aneuploid stocks and progenitor DNAs placed these on chromosomes 2B, 2D, 6B and 7B and helped to clarify the individual genes and homoeologues. The compilation of all in silico and physical mapping work confirmed many of the orthologous relationships between wheat and rice and/or barley genes, and synteny in the related areas of genome. These results further reinforce that wheat PIP and TIP proteins are most likely to have similar functions to those closely related in rice, including water permeability and abiotic stress response, and provide important tools for future investigations into the involvement of this complex gene family in traits related to plant-water relations and osmotic stress response.
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Affiliation(s)
- Kerrie L Forrest
- Faculty of Life and Social Sciences, Environment and Biotechnology Centre, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
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28
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Paterson AH, Freeling M, Tang H, Wang X. Insights from the comparison of plant genome sequences. ANNUAL REVIEW OF PLANT BIOLOGY 2010; 61:349-72. [PMID: 20441528 DOI: 10.1146/annurev-arplant-042809-112235] [Citation(s) in RCA: 117] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
The next decade will see essentially completed sequences for multiple branches of virtually all angiosperm clades that include major crops and/or botanical models. These sequences will provide a powerful framework for relating genome-level events to aspects of morphological and physiological variation that have contributed to the colonization of much of the planet by angiosperms. Clarification of the fundamental angiosperm gene set, its arrangement, lineage-specific variations in gene repertoire and arrangement, and the fates of duplicated gene pairs will advance knowledge of functional and regulatory diversity and perhaps shed light on adaptation by lineages to whole-genome duplication, which is a distinguishing feature of angiosperm evolution. Better understanding of the relationships among angiosperm genomes promises to provide a firm foundation upon which to base translational genomics: the leveraging of hard-won structural and functional genomic information from crown botanical models to dissect novel and, in some cases, economically important features in many additional organisms.
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Affiliation(s)
- Andrew H Paterson
- Department of Plant Biology, University of Georgia, Athens, Georgia.
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29
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Malyshev SV, Dolmatovich TV, Voylokov AV, Sosnikhina SP, Tsvetkova NV, Lovtsus AV, Kartel’ NA. Molecular genetic mapping of the sy1 and sy9 asynaptic genes in rye (Secale cereale L.) using microsatellite and isozyme markers. RUSS J GENET+ 2009. [DOI: 10.1134/s1022795409120060] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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30
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Evidence and evolutionary analysis of ancient whole-genome duplication in barley predating the divergence from rice. BMC Evol Biol 2009; 9:209. [PMID: 19698139 PMCID: PMC2746218 DOI: 10.1186/1471-2148-9-209] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2009] [Accepted: 08/22/2009] [Indexed: 11/10/2022] Open
Abstract
Background Well preserved genomic colinearity among agronomically important grass species such as rice, maize, Sorghum, wheat and barley provides access to whole-genome structure information even in species lacking a reference genome sequence. We investigated footprints of whole-genome duplication (WGD) in barley that shaped the cereal ancestor genome by analyzing shared synteny with rice using a ~2000 gene-based barley genetic map and the rice genome reference sequence. Results Based on a recent annotation of the rice genome, we reviewed the WGD in rice and identified 24 pairs of duplicated genomic segments involving 70% of the rice genome. Using 968 putative orthologous gene pairs, synteny covered 89% of the barley genetic map and 63% of the rice genome. We found strong evidence for seven shared segmental genome duplications, corresponding to more than 50% of the segmental genome duplications previously determined in rice. Analysis of synonymous substitution rates (Ks) suggested that shared duplications originated before the divergence of these two species. While major genome rearrangements affected the ancestral genome of both species, small paracentric inversions were found to be species specific. Conclusion We provide a thorough analysis of comparative genome evolution between barley and rice. A barley genetic map of approximately 2000 non-redundant EST sequences provided sufficient density to allow a detailed view of shared synteny with the rice genome. Using an indirect approach that included the localization of WGD-derived duplicated genome segments in the rice genome, we determined the current extent of shared WGD-derived genome duplications that occurred prior to species divergence.
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31
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Thiel T, Graner A, Waugh R, Grosse I, Close TJ, Stein N. Evidence and evolutionary analysis of ancient whole-genome duplication in barley predating the divergence from rice. BMC Evol Biol 2009. [PMID: 19698139 DOI: 10.1186/1471‐2148‐9‐209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Well preserved genomic colinearity among agronomically important grass species such as rice, maize, Sorghum, wheat and barley provides access to whole-genome structure information even in species lacking a reference genome sequence. We investigated footprints of whole-genome duplication (WGD) in barley that shaped the cereal ancestor genome by analyzing shared synteny with rice using a approximately 2000 gene-based barley genetic map and the rice genome reference sequence. RESULTS Based on a recent annotation of the rice genome, we reviewed the WGD in rice and identified 24 pairs of duplicated genomic segments involving 70% of the rice genome. Using 968 putative orthologous gene pairs, synteny covered 89% of the barley genetic map and 63% of the rice genome. We found strong evidence for seven shared segmental genome duplications, corresponding to more than 50% of the segmental genome duplications previously determined in rice. Analysis of synonymous substitution rates (Ks) suggested that shared duplications originated before the divergence of these two species. While major genome rearrangements affected the ancestral genome of both species, small paracentric inversions were found to be species specific. CONCLUSION We provide a thorough analysis of comparative genome evolution between barley and rice. A barley genetic map of approximately 2000 non-redundant EST sequences provided sufficient density to allow a detailed view of shared synteny with the rice genome. Using an indirect approach that included the localization of WGD-derived duplicated genome segments in the rice genome, we determined the current extent of shared WGD-derived genome duplications that occurred prior to species divergence.
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Affiliation(s)
- Thomas Thiel
- IPK Gatersleben, Corrensstr, 3, 06466 Gatersleben, Germany.
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Reconstruction of monocotelydoneous proto-chromosomes reveals faster evolution in plants than in animals. Proc Natl Acad Sci U S A 2009; 106:14908-13. [PMID: 19706486 DOI: 10.1073/pnas.0902350106] [Citation(s) in RCA: 124] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Paleogenomics seeks to reconstruct ancestral genomes from the genes of today's species. The characterization of paleo-duplications represented by 11,737 orthologs and 4,382 paralogs identified in five species belonging to three of the agronomically most important subfamilies of grasses, that is, Ehrhartoideae (rice) Panicoideae (sorghum, maize), and Pooideae (wheat, barley), permitted us to propose a model for an ancestral genome with a minimal size of 33.6 Mb structured in five proto-chromosomes containing at least 9,138 predicted proto-genes. It appears that only four major evolutionary shuffling events (alpha, beta, gamma, and delta) explain the divergence of these five cereal genomes during their evolution from a common paleo-ancestor. Comparative analysis of ancestral gene function with rice as a reference indicated that five categories of genes were preferentially modified during evolution. Furthermore, alignments between the five grass proto-chromosomes and the recently identified seven eudicot proto-chromosomes indicated that additional very active episodes of genome rearrangements and gene mobility occurred during angiosperm evolution. If one compares the pace of primate evolution of 90 million years (233 species) to 60 million years of the Poaceae (10,000 species), change in chromosome structure through speciation has accelerated significantly in plants.
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Quraishi UM, Abrouk M, Bolot S, Pont C, Throude M, Guilhot N, Confolent C, Bortolini F, Praud S, Murigneux A, Charmet G, Salse J. Genomics in cereals: from genome-wide conserved orthologous set (COS) sequences to candidate genes for trait dissection. Funct Integr Genomics 2009; 9:473-84. [PMID: 19575250 DOI: 10.1007/s10142-009-0129-8] [Citation(s) in RCA: 83] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2009] [Revised: 05/26/2009] [Accepted: 05/31/2009] [Indexed: 11/29/2022]
Abstract
Recent updates in comparative genomics among cereals have provided the opportunity to identify conserved orthologous set (COS) DNA sequences for cross-genome map-based cloning of candidate genes underpinning quantitative traits. New tools are described that are applicable to any cereal genome of interest, namely, alignment criterion for orthologous couples identification, as well as the Intron Spanning Marker software to automatically select intron-spanning primer pairs. In order to test the software, it was applied to the bread wheat genome, and 695 COS markers were assigned to 1,535 wheat loci (on average one marker/2.6 cM) based on 827 robust rice-wheat orthologs. Furthermore, 31 of the 695 COS markers were selected to fine map a pentosan viscosity quantitative trait loci (QTL) on wheat chromosome 7A. Among the 31 COS markers, 14 (45%) were polymorphic between the parental lines and 12 were mapped within the QTL confidence interval with one marker every 0.6 cM defining candidate genes among the rice orthologous region.
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Affiliation(s)
- Umar Masood Quraishi
- Génétique, Diversité et Ecophysiologie des Céréales (GDEC), UMR 1095 INRA/Université Blaise Pascal, Domaine de Crouelle, 234 avenue du Brézet, 63100, Clermont-Ferrand, France
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34
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Bolot S, Abrouk M, Masood-Quraishi U, Stein N, Messing J, Feuillet C, Salse J. The 'inner circle' of the cereal genomes. CURRENT OPINION IN PLANT BIOLOGY 2009; 12:119-25. [PMID: 19095493 DOI: 10.1016/j.pbi.2008.10.011] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2008] [Revised: 10/28/2008] [Accepted: 10/29/2008] [Indexed: 05/18/2023]
Abstract
Early marker-based macrocolinearity studies between the grass genomes led to arranging their chromosomes into concentric 'crop circles' of synteny blocks that initially consisted of 30 rice-independent linkage groups representing the ancestral cereal genome structure. Recently, increased marker density and genome sequencing of several cereal genomes allowed the characterization of intragenomic duplications and their integration with intergenomic colinearity data to identify paleo-duplications and propose a model for the evolution of the grass genomes from a common ancestor. On the basis of these data an 'inner circle' comprising five ancestral chromosomes was defined providing a new reference for the grass chromosomes and new insights into their ancestral relationships and origin, as well as an efficient tool to design cross-genome markers for genetic studies.
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Affiliation(s)
- Stéphanie Bolot
- INRA/UBP UMR 1095, Domaine de Crouelle, 234 avenue du Brézet 63100 Clermont Ferrand, France
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35
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Paterson AH, Bowers JE, Bruggmann R, Dubchak I, Grimwood J, Gundlach H, Haberer G, Hellsten U, Mitros T, Poliakov A, Schmutz J, Spannagl M, Tang H, Wang X, Wicker T, Bharti AK, Chapman J, Feltus FA, Gowik U, Grigoriev IV, Lyons E, Maher CA, Martis M, Narechania A, Otillar RP, Penning BW, Salamov AA, Wang Y, Zhang L, Carpita NC, Freeling M, Gingle AR, Hash CT, Keller B, Klein P, Kresovich S, McCann MC, Ming R, Peterson DG, Mehboob-ur-Rahman, Ware D, Westhoff P, Mayer KFX, Messing J, Rokhsar DS. The Sorghum bicolor genome and the diversification of grasses. Nature 2009; 457:551-6. [PMID: 19189423 DOI: 10.1038/nature07723] [Citation(s) in RCA: 1662] [Impact Index Per Article: 110.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Sorghum, an African grass related to sugar cane and maize, is grown for food, feed, fibre and fuel. We present an initial analysis of the approximately 730-megabase Sorghum bicolor (L.) Moench genome, placing approximately 98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information. Genetic recombination is largely confined to about one-third of the sorghum genome with gene order and density similar to those of rice. Retrotransposon accumulation in recombinationally recalcitrant heterochromatin explains the approximately 75% larger genome size of sorghum compared with rice. Although gene and repetitive DNA distributions have been preserved since palaeopolyploidization approximately 70 million years ago, most duplicated gene sets lost one member before the sorghum-rice divergence. Concerted evolution makes one duplicated chromosomal segment appear to be only a few million years old. About 24% of genes are grass-specific and 7% are sorghum-specific. Recent gene and microRNA duplications may contribute to sorghum's drought tolerance.
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Affiliation(s)
- Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602, USA.
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Paolacci AR, Tanzarella OA, Porceddu E, Ciaffi M. Identification and validation of reference genes for quantitative RT-PCR normalization in wheat. BMC Mol Biol 2009; 10:11. [PMID: 19232096 PMCID: PMC2667184 DOI: 10.1186/1471-2199-10-11] [Citation(s) in RCA: 432] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2008] [Accepted: 02/20/2009] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Usually the reference genes used in gene expression analysis have been chosen for their known or suspected housekeeping roles, however the variation observed in most of them hinders their effective use. The assessed lack of validated reference genes emphasizes the importance of a systematic study for their identification. For selecting candidate reference genes we have developed a simple in silico method based on the data publicly available in the wheat databases Unigene and TIGR. RESULTS The expression stability of 32 genes was assessed by qRT-PCR using a set of cDNAs from 24 different plant samples, which included different tissues, developmental stages and temperature stresses. The selected sequences included 12 well-known HKGs representing different functional classes and 20 genes novel with reference to the normalization issue. The expression stability of the 32 candidate genes was tested by the computer programs geNorm and NormFinder using five different data-sets. Some discrepancies were detected in the ranking of the candidate reference genes, but there was substantial agreement between the groups of genes with the most and least stable expression. Three new identified reference genes appear more effective than the well-known and frequently used HKGs to normalize gene expression in wheat. Finally, the expression study of a gene encoding a PDI-like protein showed that its correct evaluation relies on the adoption of suitable normalization genes and can be negatively affected by the use of traditional HKGs with unstable expression, such as actin and alpha-tubulin. CONCLUSION The present research represents the first wide screening aimed to the identification of reference genes and of the corresponding primer pairs specifically designed for gene expression studies in wheat, in particular for qRT-PCR analyses. Several of the new identified reference genes outperformed the traditional HKGs in terms of expression stability under all the tested conditions. The new reference genes will enable more accurate normalization and quantification of gene expression in wheat and will be helpful for designing primer pairs targeting orthologous genes in other plant species.
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Affiliation(s)
- Anna R Paolacci
- Dipartimento di Agrobiologia ed Agrochimica, Università della Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy
| | - Oronzo A Tanzarella
- Dipartimento di Agrobiologia ed Agrochimica, Università della Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy
| | - Enrico Porceddu
- Dipartimento di Agrobiologia ed Agrochimica, Università della Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy
| | - Mario Ciaffi
- Dipartimento di Agrobiologia ed Agrochimica, Università della Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy
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Hackauf B, Rudd S, van der Voort JR, Miedaner T, Wehling P. Comparative mapping of DNA sequences in rye (Secale cereale L.) in relation to the rice genome. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2009; 118:371-84. [PMID: 18953524 DOI: 10.1007/s00122-008-0906-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2008] [Accepted: 09/27/2008] [Indexed: 05/02/2023]
Abstract
The rice genome has proven a valuable resource for comparative approaches to address individual genomic regions in Triticeae species at the molecular level. To exploit this resource for rye genetics and breeding, an inventory was made of EST-derived markers with known genomic positions in rye, which were related with those in rice. As a first inventory set, 92 EST-SSR markers were mapped which had been drawn from a non-redundant rye EST collection representing 5,423 unigenes and 2.2 Mb of DNA. Using a BC1 mapping population which involved an exotic rye accession as donor parent, these EST-SSR markers were arranged in a linkage map together with 25 genomic SSR markers as well as 131 AFLP and four STS markers. This map comprises seven linkage groups corresponding to the seven rye chromosomes and covers 724 cM of the rye genome. For comparative studies, additional inventory sets of EST-based markers were included which originated from the rye-mapping data published by other authors. Altogether, 502 EST-based markers with known chromosomal localizations in rye were used for BlastN search and 334 of them could be in silico mapped in the rice genome. Additionally, 14 markers were included which lacked sequence information but had been genetically mapped in rice. Based on the 348 markers, each of the seven rye chromosomes could be aligned with distinct portions of the rice genome, providing improved insight into the status of the rye-rice genome relationships. Furthermore, the aligned markers provide genomic anchor points between rye and rice, enabling the identification of conserved ortholog set markers for rye. Perspectives of rice as a model for genome analysis in rye are discussed.
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Affiliation(s)
- B Hackauf
- Julius Kühn Institute, Federal Research Institute for Cultivated Plants, Institute for Breeding Research on Agricultural Crops, Erwin-Baur-Str. 27, 06484, Quedlinburg, Germany.
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Paolacci AR, Tanzarella OA, Porceddu E, Varotto S, Ciaffi M. Molecular and phylogenetic analysis of MADS-box genes of MIKC type and chromosome location of SEP-like genes in wheat (Triticum aestivum L.). Mol Genet Genomics 2007; 278:689-708. [PMID: 17846794 DOI: 10.1007/s00438-007-0285-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2007] [Accepted: 08/18/2007] [Indexed: 01/07/2023]
Abstract
Transcription factors encoded by MIKC-type MADS-box genes control many important functions in plants, including flower development and morphogenesis. The cloning and characterization of 45 MIKC-type MADS-box full-length cDNA sequences of common wheat is reported in the present paper. Wheat EST databases were searched by known sequences of MIKC-type genes and primers were designed for cDNA cloning by RT-PCR. Full-length cDNAs were obtained by 5' and 3' RACE extension. Southern analysis showed that three copies of the MIKC sequences, corresponding to the three homoeologous genes, were present. This genome organization was further confirmed by aneuploid analysis of six SEP-like genes, each showing three copies located in different homoeologous chromosomes. Phylogenetic analysis included the wheat MIKC cDNAs into 11 of the 13 MIKC subclasses identified in plants and corresponding to most genes controlling the floral homeotic functions. The expression patterns of the cDNAs corresponding to different homeotic classes was analysed in 18 wheat tissues and floral organs by RT-PCR, real time RT-PCR and northern hybridisation. Potential functions of the genes corresponding to the cloned wheat cDNAs were predicted on the basis of sequence homology and comparable expression pattern with functionally characterized MADS-box genes from Arabidopsis and monocot species.
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Affiliation(s)
- Anna Rita Paolacci
- Dipartimento di Agrobiologia e Agrochimica, Università della Tuscia, Via S. Camillo De Lellis, 01100 Viterbo, Italy
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Schnurbusch T, Collins NC, Eastwood RF, Sutton T, Jefferies SP, Langridge P. Fine mapping and targeted SNP survey using rice-wheat gene colinearity in the region of the Bo1 boron toxicity tolerance locus of bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2007; 115:451-61. [PMID: 17571251 DOI: 10.1007/s00122-007-0579-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2007] [Accepted: 05/21/2007] [Indexed: 05/11/2023]
Abstract
Toxicity due to high levels of soil boron (B) represents a significant limitation to cereal production in some regions, and the Bo1 gene provides a major source of B toxicity tolerance in bread wheat (Triticum aestivum L.). A novel approach was used to develop primers to amplify and sequence gene fragments specifically from the Bo1 region of the hexaploid wheat genome. Single-nucleotide polymorphisms (SNPs) identified were then used to generate markers close to Bo1 on the distal end of chromosome 7BL. In the 16 gene fragments totaling 19.6 kb, SNPs were observed between the two cultivars Cranbrook and Halberd at a low frequency (one every 613 bp). Furthermore, SNPs were distributed unevenly, being limited to only two genes. In contrast, RFLP provided a much greater number of genetic markers, with every tested gene identifying polymorphism. Bo1 previously known only as a QTL was located as a discrete Mendelian locus. In total, 28 new RFLP, PCR and SSR markers were added to the existing map. The 1.8 cM Bo1 interval of wheat corresponds to a 227 kb section of rice chromosome 6L encoding 21 predicted proteins with no homology to any known B transporters. The co-dominant PCR marker AWW5L7 co-segregated with Bo1 and was highly predictive of B tolerance status within a set of 94 Australian bread wheat cultivars and breeding lines. The markers and rice colinearity described here represent tools that will assist B tolerance breeding and the positional cloning of Bo1.
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Affiliation(s)
- Thorsten Schnurbusch
- Australian Centre for Plant Functional Genomics, University of Adelaide, Waite Campus, PMB1, Glen Osmond, SA, 5064, Australia.
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