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Dijoux J, Rio S, Hervouet C, Garsmeur O, Barau L, Dumont T, Rott P, D'Hont A, Hoarau JY. Unveiling the predominance of Saccharum spontaneum alleles for resistance to orange rust in sugarcane using genome-wide association. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:81. [PMID: 38478168 DOI: 10.1007/s00122-024-04583-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 02/14/2024] [Indexed: 04/16/2024]
Abstract
KEY MESSAGE Six QTLs of resistance to sugarcane orange rust were identified in modern interspecific hybrids by GWAS. For five of them, the resistance alleles originated from S. spontaneum. Altogether, they efficiently predict disease resistance. Sugarcane orange rust (SOR) is a threatening emerging disease in many sugarcane industries worldwide. Improving the genetic resistance of commercial cultivars remains the most promising solution to control this disease. In this study, an association panel of 568 modern interspecific sugarcane hybrids (Saccharum officinarum x S. spontaneum) from Réunion's breeding program was evaluated for its resistance to SOR under natural conditions of infection. Two genome-wide association studies (GWAS) were conducted between disease reactions and 183,842 single nucleotide polymorphism (SNP) markers obtained by targeted genotyping-by-sequencing. Five resistance quantitative trait loci (QTLs), named Oru1, Oru2, Oru3, Oru4 and Oru5, were identified using a single-locus GWAS (SL-GWAS). These five QTLs all originated from the species S. spontaneum. A multi-locus GWAS (ML-GWAS) uncovered an additional but less significant resistance QTL named Oru6, which originated from S. officinarum. All six QTLs had a moderate to major phenotypic effect on disease resistance. Prediction accuracy estimated with linear regression models based on each of the five QTLs identified by SL-GWAS was between 0.16-0.41. Altogether, these five QTLs provided a relatively high prediction accuracy of 0.60. In comparison, accuracies obtained with six genome-wide prediction models (i.e., GBLUP, Bayes-A, Bayes-B, Bayes-C, Bayesian Lasso and RKHS) reached only 0.65. The good prediction accuracy of disease resistance provided by the QTLs and the predominant S. spontaneum origin of their resistance alleles pave the way for effective marker-assisted breeding strategies.
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Affiliation(s)
- Jordan Dijoux
- eRcane, 29 rue d'Emmerez de Charmoy, 97490, Sainte-Clotilde, La Réunion, France
- CIRAD, UMR PHIM, F-34398, Montpellier, France
- PHIM, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
- CIRAD, UMR AGAP Institut, F-34398, Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Simon Rio
- CIRAD, UMR AGAP Institut, F-34398, Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Catherine Hervouet
- CIRAD, UMR AGAP Institut, F-34398, Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Olivier Garsmeur
- CIRAD, UMR AGAP Institut, F-34398, Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Laurent Barau
- eRcane, 29 rue d'Emmerez de Charmoy, 97490, Sainte-Clotilde, La Réunion, France
| | - Thomas Dumont
- eRcane, 29 rue d'Emmerez de Charmoy, 97490, Sainte-Clotilde, La Réunion, France
| | - Philippe Rott
- CIRAD, UMR PHIM, F-34398, Montpellier, France
- PHIM, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Angélique D'Hont
- CIRAD, UMR AGAP Institut, F-34398, Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Jean-Yves Hoarau
- eRcane, 29 rue d'Emmerez de Charmoy, 97490, Sainte-Clotilde, La Réunion, France.
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
- CIRAD, UMR AGAP Institut, F-97494, Sainte-Clotilde, La Réunion, France.
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Lu G, Liu P, Wu Q, Zhang S, Zhao P, Zhang Y, Que Y. Sugarcane breeding: a fantastic past and promising future driven by technology and methods. FRONTIERS IN PLANT SCIENCE 2024; 15:1375934. [PMID: 38525140 PMCID: PMC10957636 DOI: 10.3389/fpls.2024.1375934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 02/21/2024] [Indexed: 03/26/2024]
Abstract
Sugarcane is the most important sugar and energy crop in the world. During sugarcane breeding, technology is the requirement and methods are the means. As we know, seed is the cornerstone of the development of the sugarcane industry. Over the past century, with the advancement of technology and the expansion of methods, sugarcane breeding has continued to improve, and sugarcane production has realized a leaping growth, providing a large amount of essential sugar and clean energy for the long-term mankind development, especially in the face of the future threats of world population explosion, reduction of available arable land, and various biotic and abiotic stresses. Moreover, due to narrow genetic foundation, serious varietal degradation, lack of breakthrough varieties, as well as long breeding cycle and low probability of gene polymerization, it is particularly important to realize the leapfrog development of sugarcane breeding by seizing the opportunity for the emerging Breeding 4.0, and making full use of modern biotechnology including but not limited to whole genome selection, transgene, gene editing, and synthetic biology, combined with information technology such as remote sensing and deep learning. In view of this, we focus on sugarcane breeding from the perspective of technology and methods, reviewing the main history, pointing out the current status and challenges, and providing a reasonable outlook on the prospects of smart breeding.
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Affiliation(s)
- Guilong Lu
- National Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Yunan Academy of Agricultural Sciences, Sanya/Kaiyuan, China
- College of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, China
| | - Purui Liu
- College of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, China
| | - Qibin Wu
- National Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Yunan Academy of Agricultural Sciences, Sanya/Kaiyuan, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Sugarcane, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Shuzhen Zhang
- National Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Yunan Academy of Agricultural Sciences, Sanya/Kaiyuan, China
| | - Peifang Zhao
- National Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Yunan Academy of Agricultural Sciences, Sanya/Kaiyuan, China
| | - Yuebin Zhang
- National Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Yunan Academy of Agricultural Sciences, Sanya/Kaiyuan, China
| | - Youxiong Que
- National Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Yunan Academy of Agricultural Sciences, Sanya/Kaiyuan, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Sugarcane, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
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Zhang B, Huang Y, Zhang L, Zhou Z, Zhou S, Duan W, Yang C, Gao Y, Li S, Chen M, Li Y, Yang X, Zhang G, Huang D. Genome-Wide Association Study Unravels Quantitative Trait Loci and Genes Associated with Yield-Related Traits in Sugarcane. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:16815-16826. [PMID: 37856846 DOI: 10.1021/acs.jafc.3c02935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Sugarcane, a major sugar and energy crop worldwide faces an increasing demand for higher yields. Identifying yield-related markers and candidate genes is valuable for breeding high-yield varieties using molecular techniques. In this work, seven yield-related traits were evaluated in a diversity panel of 159 genotypes, derived from Tripidium arundinaceum, Saccharum spontaneum, and modern sugarcane genotypes. All traits exhibited significant genetic variance with high heritability and high correlations. Genetic diversity analysis reveals a genomic decay of 23 kb and an average single nucleotide polymorphism (SNP) number of 25,429 per genotype. These 159 genotypes were divided into 4 subgroups. Genome-wide association analysis identified 47 SNPs associated with brix, spanning 36 quantitative trait loci (QTLs), and 138 SNPs for other traits across 104 QTLs, covering all 32 chromosomes. Interestingly, 12 stable QTLs associated with yield-related traits were identified, which contained 35 candidate genes. This work provides markers and candidate genes for marker-assisted breeding to improve sugarcane yields.
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Affiliation(s)
- Baoqing Zhang
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Yuxin Huang
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Lijun Zhang
- State Key Laboratory of Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530004, China
| | - Zhongfeng Zhou
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Shan Zhou
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Weixing Duan
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Cuifang Yang
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Yijing Gao
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Sicheng Li
- State Key Laboratory of Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530004, China
| | - Meiyan Chen
- State Key Laboratory of Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530004, China
| | - Yangrui Li
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Xiping Yang
- State Key Laboratory of Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530004, China
| | - Gemin Zhang
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
| | - Dongliang Huang
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Sugarcane Research Center, Chinese Academy of Agricultural Sciences, Nanning 530007, China
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Bertasello LET, da Silva MF, Pinto LR, Nóbile PM, Carmo-Sousa M, dos Anjos IA, Perecin D, Spotti Lopes JR, Gonçalves MC. Yellow Leaf Disease Resistance and Melanaphis sacchari Preference in Commercial Sugarcane Cultivars. PLANTS (BASEL, SWITZERLAND) 2023; 12:3079. [PMID: 37687326 PMCID: PMC10489660 DOI: 10.3390/plants12173079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023]
Abstract
Sugarcane yellow leaf disease (YLD) caused by sugarcane yellow leaf virus (ScYLV) is a major threat for the sugarcane industry worldwide, and the aphid Melanaphis sacchari is its main vector. Breeding programs in Brazil have provided cultivars with intermediate resistance to ScYLV, whereas the incidence of ScYLV has been underestimated partly due to the complexity of YLD symptom expression and identification. Here, we evaluated YLD symptoms in a field assay using eight sugarcane genotypes comprising six well-established commercial high-sucrose cultivars, one biomass yield cultivar, and a susceptible reference under greenhouse conditions, along with estimation of virus titer through RT-qPCR from leaf samples. Additionally, a free-choice bioassay was used to determine the number of aphids feeding on the SCYLV-infected cultivars. Most of the cultivars showed some degree of resistance to YLD, while also revealing positive RT-qPCR results for ScYLV and virus titers with non-significant correlation with YLD severity. The cultivars IACSP01-5503 and IACBIO-266 were similar in terms of aphid preference and ScYLV resistance traits, whereas the least preferred cultivar by M. sacchari, IACSP96-7569, showed intermediate symptoms but similar virus titer to the susceptible reference, SP71-6163. We conclude that current genetic resistance incorporated into sugarcane commercial cultivars does not effectively prevent the spread of ScYLV by its main aphid vector.
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Affiliation(s)
- Luiz Eduardo Tilhaqui Bertasello
- School of Agricultural and Veterinary Sciences-FCAV, São Paulo State University-UNESP, Jaboticabal 17884-900, Brazil; (L.E.T.B.); (L.R.P.); (D.P.)
| | - Marcel Fernando da Silva
- Sugarcane Research Centre, Instituto Agronômico de Campinas-IAC, Ribeirão Preto 14001-970, Brazil; (M.F.d.S.); (P.M.N.); (I.A.d.A.)
| | - Luciana Rossini Pinto
- School of Agricultural and Veterinary Sciences-FCAV, São Paulo State University-UNESP, Jaboticabal 17884-900, Brazil; (L.E.T.B.); (L.R.P.); (D.P.)
- Sugarcane Research Centre, Instituto Agronômico de Campinas-IAC, Ribeirão Preto 14001-970, Brazil; (M.F.d.S.); (P.M.N.); (I.A.d.A.)
| | - Paula Macedo Nóbile
- Sugarcane Research Centre, Instituto Agronômico de Campinas-IAC, Ribeirão Preto 14001-970, Brazil; (M.F.d.S.); (P.M.N.); (I.A.d.A.)
| | - Michele Carmo-Sousa
- Department of Entomology and Acarology, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), University of São Paulo, Piracicaba 13418-900, Brazil; (M.C.-S.); (J.R.S.L.)
| | - Ivan Antônio dos Anjos
- Sugarcane Research Centre, Instituto Agronômico de Campinas-IAC, Ribeirão Preto 14001-970, Brazil; (M.F.d.S.); (P.M.N.); (I.A.d.A.)
| | - Dilermando Perecin
- School of Agricultural and Veterinary Sciences-FCAV, São Paulo State University-UNESP, Jaboticabal 17884-900, Brazil; (L.E.T.B.); (L.R.P.); (D.P.)
| | - João Roberto Spotti Lopes
- Department of Entomology and Acarology, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), University of São Paulo, Piracicaba 13418-900, Brazil; (M.C.-S.); (J.R.S.L.)
| | - Marcos Cesar Gonçalves
- School of Agricultural and Veterinary Sciences-FCAV, São Paulo State University-UNESP, Jaboticabal 17884-900, Brazil; (L.E.T.B.); (L.R.P.); (D.P.)
- Crop Protection Research Centre, Instituto Biológico-IB, São Paulo 04014-002, Brazil
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Islam MS, Corak K, McCord P, Hulse-Kemp AM, Lipka AE. A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane. FRONTIERS IN PLANT SCIENCE 2023; 14:1205999. [PMID: 37600177 PMCID: PMC10433174 DOI: 10.3389/fpls.2023.1205999] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023]
Abstract
The sugarcane ratooning ability (RA) is the most important target trait for breeders seeking to enhance the profitability of sugarcane production by reducing the planting cost. Understanding the genetics governing the RA could help breeders by identifying molecular markers that could be used for genomics-assisted breeding (GAB). A replicated field trial was conducted for three crop cycles (plant cane, first ratoon, and second ratoon) using 432 sugarcane clones and used for conducting genome-wide association and genomic prediction of five sugar and yield component traits of the RA. The RA traits for economic index (EI), stalk population (SP), stalk weight (SW), tonns of cane per hectare (TCH), and tonns of sucrose per hectare (TSH) were estimated from the yield and sugar data. A total of six putative quantitative trait loci and eight nonredundant single-nucleotide polymorphism (SNP) markers were associated with all five tested RA traits and appear to be unique. Seven putative candidate genes were colocated with significant SNPs associated with the five RA traits. The genomic prediction accuracies for those tested traits were moderate and ranged from 0.21 to 0.36. However, the models fitting fixed effects for the most significant associated markers for each respective trait did not give any advantages over the standard models without fixed effects. As a result of this study, more robust markers could be used in the future for clone selection in sugarcane, potentially helping resolve the genetic control of the RA in sugarcane.
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Affiliation(s)
| | - Keo Corak
- Genomics and Bioinformatics Research Unit, USDA-ARS, Raleigh, NC, United States
| | - Per McCord
- Sugarcane Field Station, USDA-ARS, Canal Point, FL, United States
- Irrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA, United States
| | - Amanda M. Hulse-Kemp
- Genomics and Bioinformatics Research Unit, USDA-ARS, Raleigh, NC, United States
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Alexander E. Lipka
- Department of Crop Sciences, University of Illinois, Urbana-Champaign, IL, United States
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Wang L, Yeo S, Lee M, Endah S, Alhuda NA, Yue GH. Combination of GWAS and F ST-based approaches identified loci associated with economic traits in sugarcane. Mol Genet Genomics 2023:10.1007/s00438-023-02040-2. [PMID: 37289230 DOI: 10.1007/s00438-023-02040-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 05/28/2023] [Indexed: 06/09/2023]
Abstract
Sugarcane is a globally important plant for both sugar and biofuel production. Although conventional breeding has played an important role in increasing the productivity of sugarcane, it takes a long time to achieve breeding goals such as high yield and resistant to diseases. Molecular breeding, including marker-assisted breeding and genomic selection, can accelerate genetic improvement by selecting elites at the seedling stage with DNA markers. However, only a few DNA markers associated with important traits were identified in sugarcane. The purpose of this study was to identify DNA markers associated with sugar content, stalk diameter, and sugarcane top borer resistance. The sugarcane samples with trait records were genotyped using the restriction site-associated DNA sequencing (RADseq) technology. Using FST analysis and genome-wide association study (GWAS), a total of 9, 23 and 9 DNA variants (single nucleotide polymorphisms (SNPs)/insertions and deletions (indels)) were associated with sugar content, stalk diameter, and sugarcane top borer resistance, respectively. The identified genetic variants were on different chromosomes, suggesting that these traits are complex and determined by multiple genetic factors. These DNA markers identified by both approaches have the potential to be used in selecting elite clones at the seeding stage in our sugarcane breeding program to accelerate genetic improvement. Certainly, it is essential to verify the reliability of the identified DNA markers associated with traits before they are used in molecular breeding in other populations.
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Affiliation(s)
- Le Wang
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
| | - Shadame Yeo
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
| | - May Lee
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
| | - S Endah
- Research and Development, PT Gunung Madu Plantations, KM 90 Terusan Nunyai, Central Lampung, Lampung, 34167, Indonesia
| | - N A Alhuda
- Research and Development, PT Gunung Madu Plantations, KM 90 Terusan Nunyai, Central Lampung, Lampung, 34167, Indonesia
| | - G H Yue
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore.
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, Singapore, 117543, Singapore.
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Nithya K, Parameswari B, Kumar S, Annadurai A, Nithyanantham R, Mahadevaswamy HK, Viswanathan R. Prospecting true ScYLV resistance in Saccharum hybrid parental population in India by symptom phenotyping and viral titre quantification. 3 Biotech 2023; 13:125. [PMID: 37041801 PMCID: PMC10082694 DOI: 10.1007/s13205-023-03541-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 03/28/2023] [Indexed: 04/13/2023] Open
Abstract
In sugarcane (Saccharum spp. hybrids) cultivation, viral diseases pose a great challenge across the globe. Yellow leaf (YL) disease is one of the important viral diseases caused by Sugarcane yellow leaf virus (ScYLV), a positive-sense ssRNA virus, genus Polerovirus, family Solemoviridae. The disease symptoms appear in later stages of crop growth during grand growth to maturity phase with intense midrib yellowing in the abaxial leaf surface. At present, this disease is managed through tissue (meristem) culture and healthy seed nurseries in India. However, the virus-free plants are infected quickly by secondary inoculum from aphid vectors in the field, which necessitates the importance of developing YL-resistant varieties. We screened about 600-625 sugarcane parental clones to identify true YL resistance based on 0-5 disease rating scale since 2015 and categorised them as resistant, moderately resistant, moderately susceptible, susceptible and highly susceptible. Leaf samples were collected from all these categories of plants during 2018-20 for the viral titre estimation through absolute quantification method (qRT-PCR assay). The viral load was invariably high in all categories of susceptible samples that ranged from 4.40 × 102 to 8.429 × 106, whereas in YL-free asymptomatic clones, the viral load ranged from 82.35 ± 5.90 to 5.121 × 104. The results clearly indicated that highest viral titre of 105-107 copies was present in all the susceptible clones irrespective of their disease severity grades. Our results clearly established that about 22.85% of apparently resistant sugarcane clones remained free from YL symptoms with significantly low ScYLV titre although we could not find a significant correlation between virus titre and symptom expression. The identified resistant parents will serve as sources of YL resistance to develop virus resistant sugarcane varieties. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03541-y.
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Affiliation(s)
- K. Nithya
- ICAR-Sugarcane Breeding Institute, Coimbatore, 641007 India
| | - B. Parameswari
- ICAR-National Bureau of Plant Genetic Resources, Regional Station, Hyderabad, 500030 India
- ICAR-Sugarcane Breeding Institute, Research Centre, Karnal, Haryana 132001 India
| | - Subham Kumar
- ICAR-Sugarcane Breeding Institute, Research Centre, Karnal, Haryana 132001 India
| | - A. Annadurai
- ICAR-Sugarcane Breeding Institute, Coimbatore, 641007 India
| | | | | | - R. Viswanathan
- ICAR-Sugarcane Breeding Institute, Coimbatore, 641007 India
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Monnot S, Desaint H, Mary-Huard T, Moreau L, Schurdi-Levraud V, Boissot N. Deciphering the Genetic Architecture of Plant Virus Resistance by GWAS, State of the Art and Potential Advances. Cells 2021; 10:3080. [PMID: 34831303 PMCID: PMC8625838 DOI: 10.3390/cells10113080] [Citation(s) in RCA: 6] [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: 10/01/2021] [Revised: 11/03/2021] [Accepted: 11/04/2021] [Indexed: 01/04/2023] Open
Abstract
Growing virus resistant varieties is a highly effective means to avoid yield loss due to infection by many types of virus. The challenge is to be able to detect resistance donors within plant species diversity and then quickly introduce alleles conferring resistance into elite genetic backgrounds. Until now, mainly monogenic forms of resistance with major effects have been introduced in crops. Polygenic resistance is harder to map and introduce in susceptible genetic backgrounds, but it is likely more durable. Genome wide association studies (GWAS) offer an opportunity to accelerate mapping of both monogenic and polygenic resistance, but have seldom been implemented and described in the plant-virus interaction context. Yet, all of the 48 plant-virus GWAS published so far have successfully mapped QTLs involved in plant virus resistance. In this review, we analyzed general and specific GWAS issues regarding plant virus resistance. We have identified and described several key steps throughout the GWAS pipeline, from diversity panel assembly to GWAS result analyses. Based on the 48 published articles, we analyzed the impact of each key step on the GWAS power and showcase several GWAS methods tailored to all types of viruses.
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Affiliation(s)
- Severine Monnot
- INRAE, Génétique et Amélioration des Fruits et Légumes (GAFL), 84143 Montfavet, France
- Bayer Crop Science, Chemin de Roque Martine, 13670 Saint-Andiol, France
| | - Henri Desaint
- INRAE, Génétique et Amélioration des Fruits et Légumes (GAFL), 84143 Montfavet, France
| | - Tristan Mary-Huard
- INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, Université Paris-Saclay, Ferme du Moulon, 91190 Gif-sur-Yvette, France
- Mathématiques et Informatique Appliquées (MIA)-Paris, INRAE, AgroParisTech, Université Paris-Saclay, 75231 Paris, France
| | - Laurence Moreau
- INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, Université Paris-Saclay, Ferme du Moulon, 91190 Gif-sur-Yvette, France
| | | | - Nathalie Boissot
- INRAE, Génétique et Amélioration des Fruits et Légumes (GAFL), 84143 Montfavet, France
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Genome-wide approaches for the identification of markers and genes associated with sugarcane yellow leaf virus resistance. Sci Rep 2021; 11:15730. [PMID: 34344928 PMCID: PMC8333424 DOI: 10.1038/s41598-021-95116-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 07/19/2021] [Indexed: 11/10/2022] Open
Abstract
Sugarcane yellow leaf (SCYL), caused by the sugarcane yellow leaf virus (SCYLV) is a major disease affecting sugarcane, a leading sugar and energy crop. Despite damages caused by SCYLV, the genetic base of resistance to this virus remains largely unknown. Several methodologies have arisen to identify molecular markers associated with SCYLV resistance, which are crucial for marker-assisted selection and understanding response mechanisms to this virus. We investigated the genetic base of SCYLV resistance using dominant and codominant markers and genotypes of interest for sugarcane breeding. A sugarcane panel inoculated with SCYLV was analyzed for SCYL symptoms, and viral titer was estimated by RT-qPCR. This panel was genotyped with 662 dominant markers and 70,888 SNPs and indels with allele proportion information. We used polyploid-adapted genome-wide association analyses and machine-learning algorithms coupled with feature selection methods to establish marker-trait associations. While each approach identified unique marker sets associated with phenotypes, convergences were observed between them and demonstrated their complementarity. Lastly, we annotated these markers, identifying genes encoding emblematic participants in virus resistance mechanisms and previously unreported candidates involved in viral responses. Our approach could accelerate sugarcane breeding targeting SCYLV resistance and facilitate studies on biological processes leading to this trait.
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Viswanathan R. Impact of yellow leaf disease in sugarcane and its successful disease management to sustain crop production. INDIAN PHYTOPATHOLOGY 2021. [DOI: 10.1007/s42360-021-00391-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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11
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Shabbir R, Javed T, Afzal I, Sabagh AE, Ali A, Vicente O, Chen P. Modern Biotechnologies: Innovative and Sustainable Approaches for the Improvement of Sugarcane Tolerance to Environmental Stresses. AGRONOMY 2021; 11:1042. [DOI: 10.3390/agronomy11061042] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Sugarcane (Saccharum spp.) is one of the most important industrial cash crops, contributing to the world sugar industry and biofuel production. It has been cultivated and improved from prehistoric times through natural selection and conventional breeding and, more recently, using the modern tools of genetic engineering and biotechnology. However, the heterogenicity, complex poly-aneuploid genome and susceptibility of sugarcane to different biotic and abiotic stresses represent impediments that require us to pay greater attention to the improvement of the sugarcane crop. Compared to traditional breeding, recent advances in breeding technologies (molecular marker-assisted breeding, sugarcane transformation, genome-editing and multiple omics technologies) can potentially improve sugarcane, especially against environmental stressors. This article will focus on efficient modern breeding technologies, which provide crucial clues for the engineering of sugarcane cultivars resistant to environmental stresses.
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Parameswari B, Nithya K, Kumar S, Holkar SK, Chabbra ML, Kumar P, Viswanathan R. Genome wide association studies in sugarcane host pathogen system for disease resistance: an update on the current status of research. INDIAN PHYTOPATHOLOGY 2021. [DOI: 10.1007/s42360-021-00323-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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13
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Mabhida SE, Mashatola L, Kaur M, Sharma JR, Apalata T, Muhamed B, Benjeddou M, Johnson R. Hypertension in African Populations: Review and Computational Insights. Genes (Basel) 2021; 12:genes12040532. [PMID: 33917487 PMCID: PMC8067483 DOI: 10.3390/genes12040532] [Citation(s) in RCA: 6] [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: 02/19/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 01/11/2023] Open
Abstract
Hypertension (HTN) is a persistent public health problem affecting approximately 1.3 billion individuals globally. Treatment-resistant hypertension (TRH) is defined as high blood pressure (BP) in a hypertensive patient that remains above goal despite use of ≥3 antihypertensive agents of different classes including a diuretic. Despite a plethora of treatment options available, only 31.0% of individuals have their HTN controlled. Interindividual genetic variability to drug response might explain this disappointing outcome because of genetic polymorphisms. Additionally, the poor knowledge of pathophysiological mechanisms underlying hypertensive disease and the long-term interaction of antihypertensive drugs with blood pressure control mechanisms further aggravates the problem. Furthermore, in Africa, there is a paucity of pharmacogenomic data on the treatment of resistant hypertension. Therefore, identification of genetic signals having the potential to predict the response of a drug for a given individual in an African population has been the subject of intensive investigation. In this review, we aim to systematically extract and discuss African evidence on the genetic variation, and pharmacogenomics towards the treatment of HTN. Furthermore, in silico methods are utilized to elucidate biological processes that will aid in identifying novel drug targets for the treatment of resistant hypertension in an African population. To provide an expanded view of genetic variants associated with the development of HTN, this study was performed using publicly available databases such as PubMed, Scopus, Web of Science, African Journal Online, PharmGKB searching for relevant papers between 1984 and 2020. A total of 2784 articles were reviewed, and only 42 studies were included following the inclusion criteria. Twenty studies reported associations with HTN and genes such as AGT (rs699), ACE (rs1799752), NOS3 (rs1799983), MTHFR (rs1801133), AGTR1 (rs5186), while twenty-two studies did not show any association within the African population. Thereafter, an in silico predictive approach was utilized to identify several genes including CLCNKB, CYPB11B2, SH2B2, STK9, and TBX5 which may act as potential drug targets because they are involved in pathways known to influence blood pressure. Next, co-expressed genes were identified as they are controlled by the same transcriptional regulatory program and may potentially be more effective as multiple drug targets in the treatment regimens for HTN. Genes belonging to the co-expressed gene cluster, ACE, AGT, AGTR1, AGTR2, and NOS3 as well as CSK and ADRG1 showed enrichment of G-protein-coupled receptor activity, the classical targets of drug discovery, which mediate cellular signaling processes. The latter is of importance, as the targeting of co-regulatory gene clusters will allow for the development of more effective HTN drug targets that could decrease the prevalence of both controlled and TRH.
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Affiliation(s)
- Sihle E. Mabhida
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa; (S.E.M.); (J.R.S.)
- Department of Biotechnology, Faculty of Natural Science, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa;
| | - Lebohang Mashatola
- School of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg 2050, South Africa; (L.M.); (M.K.)
| | - Mandeep Kaur
- School of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg 2050, South Africa; (L.M.); (M.K.)
| | - Jyoti R. Sharma
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa; (S.E.M.); (J.R.S.)
| | - Teke Apalata
- Division of Medical Microbiology, Department of Laboratory-Medicine and Pathology, Faculty of Health Sciences, Walter Sisulu University and National Health Laboratory Services, Mthatha 5100, South Africa;
| | - Babu Muhamed
- Hatter Institute for Cardiovascular Diseases Research in Africa, Department of Medicine, University of Cape Town, Cape Town 7535, South Africa;
- Children’s National Health System, Division of Cardiology, Washington, DC 20010, USA
| | - Mongi Benjeddou
- Department of Biotechnology, Faculty of Natural Science, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa;
| | - Rabia Johnson
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa; (S.E.M.); (J.R.S.)
- Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
- Correspondence: ; Tel.: +27-21-938-0866
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Holkar SK, Balasubramaniam P, Kumar A, Kadirvel N, Shingote PR, Chhabra ML, Kumar S, Kumar P, Viswanathan R, Jain RK, Pathak AD. Present Status and Future Management Strategies for Sugarcane Yellow Leaf Virus: A Major Constraint to the Global Sugarcane Production. THE PLANT PATHOLOGY JOURNAL 2020; 36:536-557. [PMID: 33312090 PMCID: PMC7721539 DOI: 10.5423/ppj.rw.09.2020.0183] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/23/2020] [Accepted: 11/07/2020] [Indexed: 02/08/2023]
Abstract
Sugarcane yellow leaf virus (SCYLV) is a distinct member of the Polerovirus genus of the Luteoviridae family. SCYLV is the major limitation to sugarcane production worldwide and presently occurring in most of the sugarcane growing countries. SCYLV having high genetic diversity within the species and presently ten genotypes are known to occur based on the complete genome sequence information. SCYLV is present in almost all the states of India where sugarcane is grown. Virion comprises of 180 coat protein units and are 24-29 nm in diameter. The genome of SCYLV is a monopartite and comprised of single-stranded (ss) positive-sense (+) linear RNA of about 6 kb in size. Virus genome consists of six open reading frames (ORFs) that are expressed by sub-genomic RNAs. The SCYLV is phloem-limited and transmitted by sugarcane aphid Melanaphis sacchari in a circulative and non-propagative manner. The other aphid species namely, Ceratovacuna lanigera, Rhopalosiphum rufiabdominalis, and R. maidis also been reported to transmit the virus. The virus is not transmitted mechanically, therefore, its transmission by M. sacchari has been studied in different countries. SCYLV has a limited natural host range and mainly infect sugarcane (Sachharum hybrid), grain sorghum (Sorghum bicolor), and Columbus grass (Sorghum almum). Recent insights in the protein-protein interactions of Polerovirus through protein interaction reporter (PIR) technology enable us to understand viral encoded proteins during virus replication, assembly, plant defence mechanism, short and long-distance travel of the virus. This review presents the recent understandings on virus biology, diagnosis, genetic diversity, virus-vector and host-virus interactions and conventional and next generation management approaches.
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Affiliation(s)
- Somnath Kadappa Holkar
- ICAR-Indian Institute of Sugarcane Research, Biological Control Centre, Pravaranagar, Maharashtra 43 72, India
| | | | - Atul Kumar
- ICAR-Indian Institute of Sugarcane Research, Biological Control Centre, Pravaranagar, Maharashtra 43 72, India.,Amity Institute of Biotechnology, Amity University, Lucknow Campus, Lucknow 226 010, Uttar Pradesh, India
| | - Nithya Kadirvel
- Division of Crop Protection, ICAR-Sugarcane Breeding Institute, Coimbatore 61 007, Tamil Nadu, India
| | | | - Manohar Lal Chhabra
- ICAR-Sugarcane Breeding Institute, Regional Centre, Karnal, Haryana 13 001, India
| | - Shubham Kumar
- ICAR-Sugarcane Breeding Institute, Regional Centre, Karnal, Haryana 13 001, India
| | - Praveen Kumar
- ICAR-Sugarcane Breeding Institute, Regional Centre, Karnal, Haryana 13 001, India
| | - Rasappa Viswanathan
- Division of Crop Protection, ICAR-Sugarcane Breeding Institute, Coimbatore 61 007, Tamil Nadu, India
| | - Rakesh Kumar Jain
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, India
| | - Ashwini Dutt Pathak
- ICAR-Indian Institute of Sugarcane Research, Lucknow 226 002, Uttar Pradesh, India
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15
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Aono AH, Costa EA, Rody HVS, Nagai JS, Pimenta RJG, Mancini MC, Dos Santos FRC, Pinto LR, Landell MGDA, de Souza AP, Kuroshu RM. Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance. Sci Rep 2020; 10:20057. [PMID: 33208862 PMCID: PMC7676261 DOI: 10.1038/s41598-020-77063-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 08/24/2020] [Indexed: 12/18/2022] Open
Abstract
Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust resistance is a desirable characteristic due to the large economic impact of the disease. Although marker-assisted selection for rust resistance has been successful, the genes involved are still unknown, and the associated regions vary among cultivars, thus restricting methodological generalization. We used genotyping by sequencing of full-sib progeny to relate genomic regions with brown rust phenotypes. We established a pipeline to identify reliable SNPs in complex polyploid data, which were used for phenotypic prediction via machine learning. We identified 14,540 SNPs, which led to a mean prediction accuracy of 50% when using different models. We also tested feature selection algorithms to increase predictive accuracy, resulting in a reduced dataset with more explanatory power for rust phenotypes. As a result of this approach, we achieved an accuracy of up to 95% with a dataset of 131 SNPs related to brown rust QTL regions and auxiliary genes. Therefore, our novel strategy has the potential to assist studies of the genomic organization of brown rust resistance in sugarcane.
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Affiliation(s)
- Alexandre Hild Aono
- Molecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Estela Araujo Costa
- Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São José dos Campos, SP, Brazil
| | - Hugo Vianna Silva Rody
- Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São José dos Campos, SP, Brazil
| | - James Shiniti Nagai
- Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São José dos Campos, SP, Brazil
| | - Ricardo José Gonzaga Pimenta
- Molecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Melina Cristina Mancini
- Molecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil
| | | | - Luciana Rossini Pinto
- Advanced Center of Sugarcane Agrobusiness Technological Research, Agronomic Institute of Campinas (IAC), Ribeirão Preto, SP, Brazil
| | | | - Anete Pereira de Souza
- Molecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
- Department of Plant Biology, Institute of Biology (IB), University of Campinas (UNICAMP), Campinas, SP, Brazil.
| | - Reginaldo Massanobu Kuroshu
- Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São José dos Campos, SP, Brazil.
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Bolus S, Malapi-Wight M, Grinstead SC, Fuentes-Bueno I, Hendrickson L, Hammond RW, Mollov D. Identification and characterization of Miscanthus yellow fleck virus, a new polerovirus infecting Miscanthus sinensis. PLoS One 2020; 15:e0239199. [PMID: 32941541 PMCID: PMC7498013 DOI: 10.1371/journal.pone.0239199] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/01/2020] [Indexed: 11/18/2022] Open
Abstract
Miscanthus sinensis is a grass used for sugarcane breeding and bioenergy production. Using high throughput sequencing technologies, we identified a new viral genome in infected M. sinensis leaf tissue displaying yellow fleck symptoms. This virus is most related to members of the genus Polerovirus in the family Luteoviridae. The canonical ORFs were computationally identified, the P3 coat protein was expressed, and virus-like particles were purified and found to conform to icosahedral shapes, characteristic of the family Luteoviridae. We propose the name Miscanthus yellow fleck virus for this new virus.
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Affiliation(s)
- Stephen Bolus
- USDA-ARS, National Germplasm Resources Laboratory, Beltsville, Maryland, United States of America
| | - Martha Malapi-Wight
- USDA-APHIS-PPQ, Plant Germplasm Quarantine Program, Beltsville, Maryland, United States of America
- USDA-APHIS-BRS, Biotechnology Risk Analysis Programs, Riverdale, Maryland, United States of America
| | - Samuel C. Grinstead
- USDA-ARS, National Germplasm Resources Laboratory, Beltsville, Maryland, United States of America
| | - Irazema Fuentes-Bueno
- USDA-ARS, National Germplasm Resources Laboratory, Beltsville, Maryland, United States of America
| | - Leticia Hendrickson
- USDA-APHIS-PPQ, Plant Germplasm Quarantine Program, Beltsville, Maryland, United States of America
| | - Rosemarie W. Hammond
- USDA-ARS, Molecular Plant Pathology Laboratory, Beltsville, Maryland, United States of America
| | - Dimitre Mollov
- USDA-ARS, National Germplasm Resources Laboratory, Beltsville, Maryland, United States of America
- * E-mail:
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Ali A, Khan M, Sharif R, Mujtaba M, Gao SJ. Sugarcane Omics: An Update on the Current Status of Research and Crop Improvement. PLANTS (BASEL, SWITZERLAND) 2019; 8:E344. [PMID: 31547331 PMCID: PMC6784093 DOI: 10.3390/plants8090344] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 08/08/2019] [Accepted: 08/20/2019] [Indexed: 12/20/2022]
Abstract
Sugarcane is an important crop from Poaceae family, contributing about 80% of the total world's sucrose with an annual value of around US$150 billion. In addition, sugarcane is utilized as a raw material for the production of bioethanol, which is an alternate source of renewable energy. Moving towards sugarcane omics, a remarkable success has been achieved in gene transfer from a wide variety of plant and non-plant sources to sugarcane, with the accessibility of efficient transformation systems, selectable marker genes, and genetic engineering gears. Genetic engineering techniques make possible to clone and characterize useful genes and also to improve commercially important traits in elite sugarcane clones that subsequently lead to the development of an ideal cultivar. Sugarcane is a complex polyploidy crop, and hence no single technique has been found to be the best for the confirmation of polygenic and phenotypic characteristics. To better understand the application of basic omics in sugarcane regarding agronomic characters and industrial quality traits as well as responses to diverse biotic and abiotic stresses, it is important to explore the physiology, genome structure, functional integrity, and collinearity of sugarcane with other more or less similar crops/plants. Genetic improvements in this crop are hampered by its complex genome, low fertility ratio, longer production cycle, and susceptibility to several biotic and abiotic stresses. Biotechnology interventions are expected to pave the way for addressing these obstacles and improving sugarcane crop. Thus, this review article highlights up to date information with respect to how advanced data of omics (genomics, transcriptomic, proteomics and metabolomics) can be employed to improve sugarcane crops.
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Affiliation(s)
- Ahmad Ali
- National Engineering Research Center for Sugarcane, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Mehran Khan
- Department of Plant Protection, Faculty of Agricultural Sciences, Ghazi University, Dera Ghazi Khan, Punjab 32200, Pakistan
| | - Rahat Sharif
- College of Horticulture, Northwest A&F University, Yangling 712100, China
| | - Muhammad Mujtaba
- Institute of Biotechnology, Ankara University, Ankara 06110, Turkey
| | - San-Ji Gao
- National Engineering Research Center for Sugarcane, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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