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Li X, Chen X, Fang J, Feng X, Zhang X, Lin H, Chen W, Zhang N, He H, Huang Z, Xue X, Li Y, Fan L, Lai R, Huo Z, Cui M, Deng G, Zaid C, Su Y, Zhang J, Cai W, Qi Y. Whole-genome sequencing of a worldwide collection of sugarcane cultivars (Saccharum spp.) reveals the genetic basis of cultivar improvement. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024. [PMID: 38852163 DOI: 10.1111/tpj.16861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/12/2024] [Accepted: 05/20/2024] [Indexed: 06/11/2024]
Abstract
Sugarcane is the main source of sugar worldwide, and 80% of the sucrose production comes from sugarcane. However, the genetic differentiation and basis of agronomic traits remain obscure. Here, we sequenced the whole-genome of 219 elite worldwide sugarcane cultivar accessions. A total of approximately 6 million high-quality genome-wide single nucleotide polymorphisms (SNPs) were detected. A genome-wide association study identified a total of 2198 SNPs that were significantly associated with sucrose content, stalk number, plant height, stalk diameter, cane yield, and sugar yield. We observed homozygous tendency of favor alleles of these loci, and over 80% of cultivar accessions carried the favor alleles of the SNPs or haplotypes associated with sucrose content. Gene introgression analysis showed that the number of chromosome segments from Saccharum spontaneum decreased with the breeding time of cultivars, while those from S. officinarum increased in recent cultivars. A series of selection signatures were identified in sugarcane improvement procession, of which 104 were simultaneously associated with agronomic traits and 45 of them were mainly associated with sucrose content. We further proposed that as per sugarcane transgenic experiments, ShN/AINV3.1 plays a positive role in increasing stalk number, plant height, and stalk diameter. These findings provide comprehensive resources for understanding the genetic basis of agronomic traits and will be beneficial to germplasm innovation, screening molecular markers, and future sugarcane cultivar improvement.
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Affiliation(s)
- Xuhui Li
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Xinglong Chen
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Junteng Fang
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Xiaomin Feng
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Xiangbo Zhang
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Huanzhang Lin
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Weiwei Chen
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Nannan Zhang
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Huiyi He
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Zhenghui Huang
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Xiaoming Xue
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Yucong Li
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Lina Fan
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Ruiqiang Lai
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Zhenye Huo
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Mingyang Cui
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Guangyan Deng
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Chachar Zaid
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Yueping Su
- Zhanjiang Academy of Agricultural Sciences, Zhanjiang, Guangdong, 524094, China
| | - Jisen Zhang
- State Key Laboratory for Conservation and Utilization of Agro-Bioresources, Guangxi University, Nanning, Guangxi, 530005, China
| | - Weijun Cai
- Zhanjiang Academy of Agricultural Sciences, Zhanjiang, Guangdong, 524094, China
| | - Yongwen Qi
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, 510642, China
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Divakar S, Jha RK, Kamat DN, Singh A. Validation of candidate gene-based EST-SSR markers for sugar yield in sugarcane. FRONTIERS IN PLANT SCIENCE 2023; 14:1273740. [PMID: 37965001 PMCID: PMC10641762 DOI: 10.3389/fpls.2023.1273740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/09/2023] [Indexed: 11/16/2023]
Abstract
Sugarcane (Saccharum spp.) is a widely cultivated crop that fulfils approximately 75% of the sucrose demand worldwide. Owing to its polyploidy and complex genetic nature, it is difficult to identify and map genes related to complex traits, such as sucrose content. However, association mapping is one of the alternatives for identifying genes or markers for marker-assisted selection. In the present study, EST-SSR primers were obtained from in silico studies. The functionality of each primer was tested using Blast2Go software, and 30 EST-SSR primers related to sugar content were selected. These markers were validated using association analysis. A total of 70 F1 diverse genotypes for sugar content were phenotypes with two check lines. All parameters related to sugar content were recorded. The results showed a significant variation between the genotypes for sugar yield traits such as Brix value, purity, and sucrose content, etc. Correlation studies revealed that the Brix%, sucrose content, and sucrose recovery were significantly correlated. An association analysis was performed using mixed linear model to avoid false positive associations. The association analysis revealed that the SEM 407 marker was significantly associated with Brix% and sucrose content. The SEM 407 primers are putatively related to diphosphate-fructose-6-phosphate 1-phosphotransferase which is associated with Brix% and sucrose content. This functional marker can be used for marker-assisted selection for sugar yield traits in sugarcane that could accelerate the sugarcane breeding program.
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Affiliation(s)
- S. Divakar
- Department of AB&MB, CBSH, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Samastipur, Bihar, India
| | - Ratnesh Kumar Jha
- Centre for Advanced Studies on Climate Change, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Samastipur, Bihar, India
| | - D. N. Kamat
- Sugarcane Research Institute, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Samastipur, Bihar, India
| | - Ashutosh Singh
- Centre for Advanced Studies on Climate Change, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Samastipur, Bihar, India
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Banerjee N, Khan MS, Swapna M, Yadav S, Tiwari GJ, Jena SN, Patel JD, Manimekalai R, Kumar S, Dattamajuder SK, Kapur R, Koebernick JC, Singh RK. QTL mapping and identification of candidate genes linked to red rot resistance in sugarcane. 3 Biotech 2023; 13:82. [PMID: 36778768 PMCID: PMC9911584 DOI: 10.1007/s13205-023-03481-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 01/13/2023] [Indexed: 02/12/2023] Open
Abstract
Sugarcane (Saccharum species hybrid) is one of the most important commercial crops cultivated worldwide for products like white sugar, bagasse, ethanol, etc. Red rot is a major sugarcane disease caused by a hemi-biotrophic fungus, Colletotrichum falcatum Went., which can potentially cause a reduction in yield up to 100%. Breeding for red rot-resistant sugarcane varieties has become cumbersome due to its complex genome and frequent generation of new pathotypes of red rot fungus. In the present study, a genetic linkage map was developed using a selfed population of a popular sugarcane variety CoS 96268. A QTL linked to red rot resistance (qREDROT) was identified, which explained 26% of the total phenotypic variation for the trait. A genotype-phenotype network analysis performed to account for epistatic interactions, identified the key markers involved in red rot resistance. The differential expression of the genes located in the genomic region between the two flanking markers of the qREDROT as well as in the vicinity of the markers identified through the genotype-phenotype network analysis in a set of contrasting genotypes for red rot infection further confirmed the mapping results. Further, the expression analysis revealed that the plant defense-related gene coding 26S protease regulatory subunit is strongly associated with the red rot resistance. The findings can help in the screening of disease resistant genotypes for developing red rot-resistant varieties of sugarcane. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03481-7.
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Affiliation(s)
- Nandita Banerjee
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - Mohammad Suhail Khan
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - M. Swapna
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - Sonia Yadav
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - Gopal Ji Tiwari
- Plant Molecular Biology Laboratory, CSIR-National Botanical Research Institute, Lucknow, 226001 India
| | - Satya N. Jena
- Plant Molecular Biology Laboratory, CSIR-National Botanical Research Institute, Lucknow, 226001 India
| | - Jinesh D. Patel
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL 36849 USA
| | - R. Manimekalai
- Biotechnology Lab, Sugarcane Breeding Institute, Coimbatore, 641007 India
| | - Sanjeev Kumar
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - S. K. Dattamajuder
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - Raman Kapur
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
| | - Jenny C. Koebernick
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL 36849 USA
| | - Ram K. Singh
- ICAR-Indian Institute of Sugarcane Research, Raibareli Road, P.O. Dilkusha, Lucknow, 226002 India
- Present Address: Crop Science Division, Indian Council of Agricultural Research, Krishi Bhawan, New Delhi, 110001 India
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Xu Z, Kong R, An D, Zhang X, Li Q, Nie H, Liu Y, Su J. Evaluation of a Sugarcane ( Saccharum spp.) Hybrid F 1 Population Phenotypic Diversity and Construction of a Rapid Sucrose Yield Estimation Model for Breeding. PLANTS (BASEL, SWITZERLAND) 2023; 12:647. [PMID: 36771730 PMCID: PMC9919227 DOI: 10.3390/plants12030647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/17/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Sugarcane is the major sugar-producing crop worldwide, and hybrid F1 populations are the primary populations used in breeding. Challenged by the sugarcane genome's complexity and the sucrose yield's quantitative nature, phenotypic selection is still the most commonly used approach for high-sucrose yield sugarcane breeding. In this study, a hybrid F1 population containing 135 hybrids was constructed and evaluated for 11 traits (sucrose yield (SY) and its related traits) in a randomized complete-block design during two consecutive growing seasons. The results revealed that all the traits exhibited distinct variation, with the coefficient of variation (CV) ranging from 0.09 to 0.35, the Shannon-Wiener diversity index (H') ranging between 2.64 and 2.98, and the broad-sense heritability ranging from 0.75 to 0.84. Correlation analysis revealed complex correlations between the traits, with 30 trait pairs being significantly correlated. Eight traits, including stalk number (SN), stalk diameter (SD), internode length (IL), stalk height (SH), stalk weight (SW), Brix (B), sucrose content (SC), and yield (Y), were significantly positively correlated with sucrose yield (SY). Cluster analysis based on the 11 traits divided the 135 F1 hybrids into three groups, with 55 hybrids in Group I, 69 hybrids in Group II, and 11 hybrids in Group III. The principal component analysis indicated that the values of the first four major components' vectors were greater than 1 and the cumulative contribution rate reached 80.93%. Based on the main component values of all samples, 24 F1 genotypes had greater values than the high-yielding parent 'ROC22' and were selected for the next breeding stage. A rapid sucrose yield estimation equation was established using four easily measured sucrose yield-related traits through multivariable linear stepwise regression. The model was subsequently confirmed using 26 sugarcane cultivars and 24 F1 hybrids. This study concludes that the sugarcane F1 population holds great genetic diversity in sucrose yield-related traits. The sucrose yield estimation model, ySY=2.01xSN+8.32xSD+0.79xB+3.44xSH-47.64, can aid to breed sugarcane varieties with high sucrose yield.
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Affiliation(s)
- Zhijun Xu
- South Subtropical Crop Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China
- Zhanjiang Experiment Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524031, China
- Guangdong Modern Agriculture (Cultivated Land Conservation and Water-Saving Agriculture) Industrial Technology Research and Development Center, Zhanjiang 524031, China
- Zhanjiang Experimental and Observation Station for National Long-Term Agricultural Green Development, Zhanjiang 524031, China
| | - Ran Kong
- South Subtropical Crop Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China
| | - Dongsheng An
- South Subtropical Crop Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China
- Zhanjiang Experiment Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524031, China
- Guangdong Modern Agriculture (Cultivated Land Conservation and Water-Saving Agriculture) Industrial Technology Research and Development Center, Zhanjiang 524031, China
- Zhanjiang Experimental and Observation Station for National Long-Term Agricultural Green Development, Zhanjiang 524031, China
| | - Xuejiao Zhang
- Zhanjiang Experiment Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524031, China
- Guangdong Modern Agriculture (Cultivated Land Conservation and Water-Saving Agriculture) Industrial Technology Research and Development Center, Zhanjiang 524031, China
| | - Qibiao Li
- Zhanjiang Experiment Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524031, China
- Guangdong Modern Agriculture (Cultivated Land Conservation and Water-Saving Agriculture) Industrial Technology Research and Development Center, Zhanjiang 524031, China
| | - Huzi Nie
- Agro-Tech Extension Center of Guangdong Province, Guangzhou 510520, China
| | - Yang Liu
- South Subtropical Crop Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China
- Zhanjiang Experiment Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524031, China
- College of Modern Agriculture, Jiaxing Vocational and Technical College, Jiaxing 314036, China
| | - Junbo Su
- South Subtropical Crop Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China
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Meena MR, Appunu C, Arun Kumar R, Manimekalai R, Vasantha S, Krishnappa G, Kumar R, Pandey SK, Hemaprabha G. Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits. Front Genet 2022; 13:854936. [PMID: 35991570 PMCID: PMC9382102 DOI: 10.3389/fgene.2022.854936] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 05/26/2022] [Indexed: 11/13/2022] Open
Abstract
Advances in sugarcane breeding have contributed significantly to improvements in agronomic traits and crop yield. However, the growing global demand for sugar and biofuel in the context of climate change requires further improvements in cane and sugar yields. Attempts to achieve the desired rates of genetic gain in sugarcane by conventional breeding means are difficult as many agronomic traits are genetically complex and polygenic, with each gene exerting small effects. Unlike those of many other crops, the sugarcane genome is highly heterozygous due to its autopolyploid nature, which further hinders the development of a comprehensive genetic map. Despite these limitations, many superior agronomic traits/genes for higher cane yield, sugar production, and disease/pest resistance have been identified through the mapping of quantitative trait loci, genome-wide association studies, and transcriptome approaches. Improvements in traits controlled by one or two loci are relatively easy to achieve; however, this is not the case for traits governed by many genes. Many desirable phenotypic traits are controlled by quantitative trait nucleotides (QTNs) with small and variable effects. Assembling these desired QTNs by conventional breeding methods is time consuming and inefficient due to genetic drift. However, recent developments in genomics selection (GS) have allowed sugarcane researchers to select and accumulate desirable alleles imparting superior traits as GS is based on genomic estimated breeding values, which substantially increases the selection efficiency and genetic gain in sugarcane breeding programs. Next-generation sequencing techniques coupled with genome-editing technologies have provided new vistas in harnessing the sugarcane genome to look for desirable agronomic traits such as erect canopy, leaf angle, prolonged greening, high biomass, deep root system, and the non-flowering nature of the crop. Many desirable cane-yielding traits, such as single cane weight, numbers of tillers, numbers of millable canes, as well as cane quality traits, such as sucrose and sugar yield, have been explored using these recent biotechnological tools. This review will focus on the recent advances in sugarcane genomics related to genetic gain and the identification of favorable alleles for superior agronomic traits for further utilization in sugarcane breeding programs.
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Affiliation(s)
- Mintu Ram Meena
- Regional Centre, ICAR-Sugarcane Breeding Institute, Karnal, India
- *Correspondence: Mintu Ram Meena, ; Chinnaswamy Appunu,
| | - Chinnaswamy Appunu
- ICAR-Sugarcane Breeding Institute, Coimbatore, India
- *Correspondence: Mintu Ram Meena, ; Chinnaswamy Appunu,
| | - R. Arun Kumar
- ICAR-Sugarcane Breeding Institute, Coimbatore, India
| | | | - S. Vasantha
- ICAR-Sugarcane Breeding Institute, Coimbatore, India
| | | | - Ravinder Kumar
- Regional Centre, ICAR-Sugarcane Breeding Institute, Karnal, India
| | - S. K. Pandey
- Regional Centre, ICAR-Sugarcane Breeding Institute, Karnal, India
| | - G. Hemaprabha
- ICAR-Sugarcane Breeding Institute, Coimbatore, India
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Wang Z, Ren H, Pang C, Lu G, Xu F, Cheng W, Que Y, Xu L. An autopolyploid-suitable polyBSA-seq strategy for screening candidate genetic markers linked to leaf blight resistance in sugarcane. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:623-636. [PMID: 34775519 DOI: 10.1007/s00122-021-03989-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 11/01/2021] [Indexed: 06/13/2023]
Abstract
An autopolyploid-suitable polyBSA-seq strategy was developed for screening candidate genetic markers linked to leaf blight resistance in sugarcane. Due to the complex genome architecture, the quantitative trait loci mappings and linkage marker selections for agronomic traits of autopolyploid crops were mainly limited to the time-consuming and cost intensive construction of genetic maps. To map resistance-linked markers for sugarcane leaf blight (SLB) caused by Stagonospora tainanensis, the autopolyploid-suitable bulk-segregant analysis based on the sequencing (polyBSA-seq) strategy was successfully applied for the first time. Resistant- and susceptible-bulks (R- and S-bulks) constructed from the extreme-phenotypic sugarcane F1 lines of YT93-159 × ROC22 were deep sequenced with 195.0 × for bulks and 74.4 × for parents. Informative single-dose variants (ISDVs) present as one copy in one parent and null in the other parent were detected based on the genome sequence of LA Purple, an autooctoploid Saccharum officinarum, to screen candidate linkage markers (CLMs). The proportion of the number of short reads harboring ISDVs in the total short reads covering a given genomic position was defined as ISDV index and the ISDVs with indices met the threshold set in this study (0.04-0.14) were selected as CLMs. In total, three resistance- and one susceptibility-related CLMs for SLB resistance were identified by the polyBSA-seq. Among them, two markers on chromosome 10 were less than 300 Kb apart. Furthermore, the RNA-seq was used to calculate the expression level of genes within 1.0 Mb from the aforementioned four CLMs, which demonstrated that twelve genes were differentially expressed between resistant and susceptible clones, including a receptor-like kinase and an ethylene-responsive transcription factor. This is the first reported polyBSA-seq in autopolyploid sugarcane, which specifically tailored for the fast selection of the CLMs and causal genes associated with important agronomic traits.
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Affiliation(s)
- Zhoutao Wang
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan, 661600, China
| | - Hui Ren
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Chao Pang
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Guilong Lu
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Fu Xu
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Wei Cheng
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Youxiong Que
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
| | - Liping Xu
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
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Hu A, Zhao Q, Chen L, Zhao J, Wang Y, Feng K, Wu L, Xie M, Zhou X, Xiao L, Ming Z, Zhang M, Yao R. Identification of Conserved and Divergent Strigolactone Receptors in Sugarcane Reveals a Key Residue Crucial for Plant Branching Control. FRONTIERS IN PLANT SCIENCE 2021; 12:747160. [PMID: 34858455 PMCID: PMC8632500 DOI: 10.3389/fpls.2021.747160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 10/12/2021] [Indexed: 05/29/2023]
Abstract
Strigolactones (SLs) are a class of important plant hormones mainly regulating plant architecture such as branching, which is crucial for crop yield. It is valuable to study SL signaling pathway and its physiological function in sugarcane, the most important sugar crop, for further molecular breeding. Here, two putative SL receptors SsD14a/b and the interacting F-box protein SsMAX2 were identified in Saccharum spontaneum. SL induced both SsD14a and SsD14b to interact with SsMAX2 in yeast. SsD14a, but not SsD14b, could bind with AtMAX2 and AtSMXL7/SsSMXL7. Overexpression of SsD14a or SsMAX2 rescued the increased branching phenotypes of Arabidopsis thaliana d14-1 or max2-3 mutants, respectively. Moreover, the crystal structure of N-terminal truncated SsD14a was solved, with an overall structure identical to AtD14 and OsD14 in the open state, consistent with its conserved branching suppression capacity in Arabidopsis. In line with the biochemical observations, SsD14b could not completely complement in d14-1 although these two SsD14 proteins have almost identical primary sequences except for very few residues. Complement with the combination of SsD14b and SsMAX2 still failed to rescue the d14-1 max2-3 double mutant multi-branching phenotype, indicating SsD14b-AtSMXL7 complex formation is required for regulating branching. Mutagenesis analyses revealed that residue R310 at α10 helix of SsD14a was crucial for the binding with SsSMXL7/AtSMXL7 but not SsMAX2. The site-equivalent single-residue P304R substitution enabled SsD14b to bind with AtMAX2 and AtSMXL7/SsSMXL7 and to rescue the phenotype of d14-1 max2-3 together with SsMAX2. Moreover, this conserved Arg residue across species including rice and Arabidopsis determined the activity of SL receptors through maintaining their interaction with SMXL repressors. Taken together, our work identified conserved and divergent strigolactone receptors in sugarcane core SL signaling pathway and revealed a key residue crucial for plant branching control.
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Affiliation(s)
- Anqi Hu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Qiaoqiao Zhao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bio Resources, Guangxi Key Laboratory for Sugarcane Biology, College of Life Science and Technology, Guangxi University, Nanning, China
| | - Li Chen
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Jinping Zhao
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
- Hunan Province Key Laboratory of Phytohormones and Growth Development, Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Hunan Agricultural University, Changsha, China
| | - Yuehua Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Kuiliang Feng
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Ling Wu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Miao Xie
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Xuemei Zhou
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Langtao Xiao
- Hunan Province Key Laboratory of Phytohormones and Growth Development, Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Hunan Agricultural University, Changsha, China
| | - Zhenhua Ming
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bio Resources, Guangxi Key Laboratory for Sugarcane Biology, College of Life Science and Technology, Guangxi University, Nanning, China
| | - Meng Zhang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
| | - Ruifeng Yao
- State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, China
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8
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Mahadevaiah C, Appunu C, Aitken K, Suresha GS, Vignesh P, Mahadeva Swamy HK, Valarmathi R, Hemaprabha G, Alagarasan G, Ram B. Genomic Selection in Sugarcane: Current Status and Future Prospects. FRONTIERS IN PLANT SCIENCE 2021; 12:708233. [PMID: 34646284 PMCID: PMC8502939 DOI: 10.3389/fpls.2021.708233] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 08/24/2021] [Indexed: 05/18/2023]
Abstract
Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass production. It serves as raw material for the production of sugar, ethanol, and electricity. Modern sugarcane varieties are derived from the interspecific and intergeneric hybridization between Saccharum officinarum, Saccharum spontaneum, and other wild relatives. Sugarcane breeding programmes are broadly categorized into germplasm collection and characterization, pre-breeding and genetic base-broadening, and varietal development programmes. The varietal identification through the classic breeding programme requires a minimum of 12-14 years. The precise phenotyping in sugarcane is extremely tedious due to the high propensity of lodging and suckering owing to the influence of environmental factors and crop management practices. This kind of phenotyping requires data from both plant crop and ratoon experiments conducted over locations and seasons. In this review, we explored the feasibility of genomic selection schemes for various breeding programmes in sugarcane. The genetic diversity analysis using genome-wide markers helps in the formation of core set germplasm representing the total genomic diversity present in the Saccharum gene bank. The genome-wide association studies and genomic prediction in the Saccharum gene bank are helpful to identify the complete genomic resources for cane yield, commercial cane sugar, tolerances to biotic and abiotic stresses, and other agronomic traits. The implementation of genomic selection in pre-breeding, genetic base-broadening programmes assist in precise introgression of specific genes and recurrent selection schemes enhance the higher frequency of favorable alleles in the population with a considerable reduction in breeding cycles and population size. The integration of environmental covariates and genomic prediction in multi-environment trials assists in the prediction of varietal performance for different agro-climatic zones. This review also directed its focus on enhancing the genetic gain over time, cost, and resource allocation at various stages of breeding programmes.
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Affiliation(s)
| | - Chinnaswamy Appunu
- Division of Crop Improvement, ICAR-Sugarcane Breeding Institute, Coimbatore, India
| | - Karen Aitken
- CSIRO (Commonwealth Scientific and Industrial Research Organization), St. Lucia, QLD, Australia
| | | | - Palanisamy Vignesh
- Division of Crop Improvement, ICAR-Sugarcane Breeding Institute, Coimbatore, India
| | | | | | - Govind Hemaprabha
- Division of Crop Improvement, ICAR-Sugarcane Breeding Institute, Coimbatore, India
| | - Ganesh Alagarasan
- Division of Crop Improvement, ICAR-Sugarcane Breeding Institute, Coimbatore, India
| | - Bakshi Ram
- Division of Crop Improvement, ICAR-Sugarcane Breeding Institute, Coimbatore, India
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9
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Vergara D, Feathers C, Huscher EL, Holmes B, Haas JA, Kane NC. Widely assumed phenotypic associations in Cannabis sativa lack a shared genetic basis. PeerJ 2021; 9:e10672. [PMID: 33976953 PMCID: PMC8063869 DOI: 10.7717/peerj.10672] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/08/2020] [Indexed: 12/16/2022] Open
Abstract
The flowering plant Cannabis sativa, cultivated for centuries for multiple purposes, displays extensive variation in phenotypic traits in addition to its wide array of secondary metabolite production. Notably, Cannabis produces two well-known secondary-metabolite cannabinoids: cannabidiolic acid (CBDA) and delta-9-tetrahydrocannabinolic acid (THCA), which are the main products sought by consumers in the medical and recreational market. Cannabis has several suggested subspecies which have been shown to differ in chemistry, branching patterns, leaf morphology and other traits. In this study we obtained measurements related to phytochemistry, reproductive traits, growth architecture, and leaf morphology from 297 hybrid individuals from a cross between two diverse lineages. We explored correlations among these characteristics to inform our understanding of which traits may be causally associated. Many of the traits widely assumed to be strongly correlated did not show any relationship in this hybrid population. The current taxonomy and legal regulation within Cannabis is based on phenotypic and chemical characteristics. However, we find these traits are not associated when lineages are inter-crossed, which is a common breeding practice and forms the basis of most modern marijuana and hemp germplasms. Our results suggest naming conventions based on leaf morphology do not correspond to the chemical properties in plants with hybrid ancestry. Therefore, a new system for identifying variation within Cannabis is warranted that will provide reliable identifiers of the properties important for recreational and, especially, medical use.
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Affiliation(s)
| | | | - Ezra L Huscher
- Ebio, University of Colorado at Boulder, Boulder, CO, USA
| | | | | | - Nolan C Kane
- Ebio, University of Colorado at Boulder, Boulder, CO, USA
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10
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Calderan-Rodrigues MJ, de Barros Dantas LL, Cheavegatti Gianotto A, Caldana C. Applying Molecular Phenotyping Tools to Explore Sugarcane Carbon Potential. FRONTIERS IN PLANT SCIENCE 2021; 12:637166. [PMID: 33679852 PMCID: PMC7935522 DOI: 10.3389/fpls.2021.637166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 01/27/2021] [Indexed: 05/21/2023]
Abstract
Sugarcane (Saccharum spp.), a C4 grass, has a peculiar feature: it accumulates, gradient-wise, large amounts of carbon (C) as sucrose in its culms through a complex pathway. Apart from being a sustainable crop concerning C efficiency and bioenergetic yield per hectare, sugarcane is used as feedstock for producing ethanol, sugar, high-value compounds, and products (e.g., polymers and succinate), and bioelectricity, earning the title of the world's leading biomass crop. Commercial cultivars, hybrids bearing high levels of polyploidy, and aneuploidy, are selected from a large number of crosses among suitable parental genotypes followed by the cloning of superior individuals among the progeny. Traditionally, these classical breeding strategies have been favoring the selection of cultivars with high sucrose content and resistance to environmental stresses. A current paradigm change in sugarcane breeding programs aims to alter the balance of C partitioning as a means to provide more plasticity in the sustainable use of this biomass for metabolic engineering and green chemistry. The recently available sugarcane genetic assemblies powered by data science provide exciting perspectives to increase biomass, as the current sugarcane yield is roughly 20% of its predicted potential. Nowadays, several molecular phenotyping tools can be applied to meet the predicted sugarcane C potential, mainly targeting two competing pathways: sucrose production/storage and biomass accumulation. Here we discuss how molecular phenotyping can be a powerful tool to assist breeding programs and which strategies could be adopted depending on the desired final products. We also tackle the advances in genetic markers and mapping as well as how functional genomics and genetic transformation might be able to improve yield and saccharification rates. Finally, we review how "omics" advances are promising to speed up plant breeding and reach the unexplored potential of sugarcane in terms of sucrose and biomass production.
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Affiliation(s)
| | | | | | - Camila Caldana
- Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
- *Correspondence: Camila Caldana,
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11
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Manimekalai R, Suresh G, Govinda Kurup H, Athiappan S, Kandalam M. Role of NGS and SNP genotyping methods in sugarcane improvement programs. Crit Rev Biotechnol 2020; 40:865-880. [PMID: 32508157 DOI: 10.1080/07388551.2020.1765730] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Sugarcane (Saccharum spp.) is one of the most economically significant crops because of its high sucrose content and it is a promising biomass feedstock for biofuel production. Sugarcane genome sequencing and analysis is a difficult task due to its heterozygosity and polyploidy. Long sequence read technologies, PacBio Single-Molecule Real-Time (SMRT) sequencing, the Illumina TruSeq, and the Oxford Nanopore sequencing could solve the problem of genome assembly. On the applications side, next generation sequencing (NGS) technologies played a major role in the discovery of single nucleotide polymorphism (SNP) and the development of low to high throughput genotyping platforms. The two mainstream high throughput genotyping platforms are the SNP microarray and genotyping by sequencing (GBS). This paper reviews the NGS in sugarcane genomics, genotyping methodologies, and the choice of these methods. Array-based SNP genotyping is robust, provides consistent SNPs, and relatively easier downstream data analysis. The GBS method identifies large scale SNPs across the germplasm. A combination of targeted GBS and array-based genotyping methods should be used to increase the accuracy of genomic selection and marker-assisted breeding.
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Affiliation(s)
- Ramaswamy Manimekalai
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Gayathri Suresh
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Hemaprabha Govinda Kurup
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Selvi Athiappan
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Mallikarjuna Kandalam
- Business Development, Asia Pacific Japan region, Thermo Fisher Scientific, Waltham, MA, USA
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12
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Saez JV, Mariotti JA, Vega CRC. Source-sink relationships during early crop development influence earliness of sugar accumulation in sugarcane. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:5157-5171. [PMID: 31128071 DOI: 10.1093/jxb/erz251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 05/20/2019] [Indexed: 06/09/2023]
Abstract
In subtropical environments where sugarcane (Saccharum spp.) crops are frequently limited by the duration of the growth cycle, earliness in maturity is a key genotypic trait. Using the concept of source-sink relationships, we hypothesised that earliness is controlled by the dynamics of tillering (DT), which define sink strength early in the growth cycle. Five modern commercial sugarcane genotypes with similar sucrose yields and varying degrees of earliness in ripening were grown in the field over three years and their DT, dynamics of sucrose accumulation (DS), and source-sink relationships over time were characterised. Canonical correlations and principal components analysis revealed that DT explained 68% of the total variance in DS. Early ripening genotypes exhibited the shortest thermal time to the end of tiller mortality (θTilmort), the lowest tiller survival and millable tiller number, and greatest sugar content at θTilmort (Sconc,Tilmort). The rate and duration of the sucrose accumulation phase did not explain the genotypic variation either in final sugar content or in earliness when considered in isolation without taking into account the effect of Sconc,Tilmort. In the set of genotypes examined, the variation in final sucrose yield was most explained by the variation in stalk number. We conclude that the dynamics of tiller appearance and senescence modified the early source-sink relationships and thus determined the differential sucrose contents around θTilmort and the earliness of maximal sugar accumulation. θTilmort, which was closely associated with the 14-leaf phenological stage, emerged as a candidate trait to screen for genotypic variation in early ripening, crop cycle duration, and yield.
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13
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Singh P, Singh SN, Tiwari AK, Pathak SK, Singh AK, Srivastava S, Mohan N. Integration of sugarcane production technologies for enhanced cane and sugar productivity targeting to increase farmers' income: strategies and prospects. 3 Biotech 2019; 9:48. [PMID: 30729072 DOI: 10.1007/s13205-019-1568-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 01/03/2019] [Indexed: 10/27/2022] Open
Abstract
The idea of doubling the farmers' income in next 5 years has been slated by the Government of India. The specific target of increasing sugarcane farmers' income could be achieved by developing cost-effective technologies, transferring them from laboratory to land, educating the farmers and creating a linkage between all stakeholders. Consistent efforts shall be required to harness all possible sources for increasing farmer's income in and outside the agriculture sector with respect to improvement in sugarcane and sugar productivity, enhancement in resource use efficiency and adopting various other ways and means including intercropping, management of pests and diseases, use of biotechnological tools and minimizing post-harvest deterioration. The advances in sugarcane biotechnology could become remarkable in the coming years, both in terms of improving productivity as well as increasing the value and utility of this crop substantially. In future, genetically modified sugarcane varieties with increased resistance to different biotic and abiotic stresses would serve more towards sugarcane crop improvement. Any possibility of enhancement in the income of sugarcane farmers shall also be dependent upon the profitability and sustainability of the sugar industry. Integration of sugarcane production technologies for improvement in farm productivity, diversified sugarcane production system, reduced cost of cultivation along with increased processing plant efficiency and diversification to produce value added products shall ensure smooth and higher payment to the farmers. Development of low-cost technologies to convert "waste to resource" on a smaller scale shall also help the farmers to increase their income further. This paper focuses on possible measures to be taken up in each aspects of sugarcane cultivation including biotechnological approaches to achieve the goal of enhancing the income of sugarcane farmers substantially, particularly in the sub-tropical region of India.
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14
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Wang H, Zaman QU, Huang W, Mei D, Liu J, Wang W, Ding B, Hao M, Fu L, Cheng H, Hu Q. QTL and Candidate Gene Identification for Silique Length Based on High-Dense Genetic Map in Brassica napus L. FRONTIERS IN PLANT SCIENCE 2019; 10:1579. [PMID: 31850044 PMCID: PMC6895753 DOI: 10.3389/fpls.2019.01579] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 11/12/2019] [Indexed: 05/13/2023]
Abstract
Silique length (SL) is an important yield trait and positively correlates with seeds per silique and seed weight. In the present study, two double haploid (DH) populations, established from crosses Zhongshuang11 × R11 (ZR) and R1 × R2 (RR), containing 280 and 95 DH lines, respectively, were used to map quantitative trait loci (QTL) for SL. A high-dense genetic map from ZR population was constructed comprising 14,658 bins on 19 linkage groups, with map length of 2,198.85 cM and an average marker distance of 0.15 cM. Genetic linkage map from RR population was constructed by using 2,046 mapped markers anchored to 19 chromosomes with 2,217-cM map length and an average marker distance of 1.08 cM. Major QTL qSL_ZR_A09 and qSL_RR_A09b on A09 were identified from ZR and RR populations, respectively. Both QTL could be stably detected in four environments. QTL qSL_RR_A09b and qSL_ZR_A09 were located on 68.5-70.8 cM and 91.33-91.94 cM interval with R2 values of 14.99-39.07% and 15.00-20.36% in RR and ZR populations, respectively. Based on the physical positions of single nucleotide polymorphism (SNP) markers flanking qSL_ZR_A09 and gene annotation in Arabidopsis, 26 genes were identified with SNP/Indel variation between parents and two genes (BnaA09g41180D and BnaA09g41380D) were selected as the candidate genes. Expression analysis further revealed BnaA09g41180D, encoding homologs of Arabidopsis fasciclin-like arabinogalactan proteins (FLA3), as the most promising candidate gene for qSL_ZR_A09. The QTL identification and candidate gene analysis will provide new insight into the genomic regions controlling SL in Brassica napus as well as candidate genes underlying the QTL.
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Affiliation(s)
- Hui Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Qamar U. Zaman
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Graduate School of the Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenhui Huang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Desheng Mei
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Jia Liu
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Wenxiang Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Bingli Ding
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Mengyu Hao
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Li Fu
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Hongtao Cheng
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- *Correspondence: Hongtao Cheng ; Qiong Hu
| | - Qiong Hu
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- *Correspondence: Hongtao Cheng ; Qiong Hu
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15
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Garsmeur O, Droc G, Antonise R, Grimwood J, Potier B, Aitken K, Jenkins J, Martin G, Charron C, Hervouet C, Costet L, Yahiaoui N, Healey A, Sims D, Cherukuri Y, Sreedasyam A, Kilian A, Chan A, Van Sluys MA, Swaminathan K, Town C, Bergès H, Simmons B, Glaszmann JC, van der Vossen E, Henry R, Schmutz J, D'Hont A. A mosaic monoploid reference sequence for the highly complex genome of sugarcane. Nat Commun 2018; 9:2638. [PMID: 29980662 PMCID: PMC6035169 DOI: 10.1038/s41467-018-05051-5] [Citation(s) in RCA: 179] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 06/13/2018] [Indexed: 01/31/2023] Open
Abstract
Sugarcane (Saccharum spp.) is a major crop for sugar and bioenergy production. Its highly polyploid, aneuploid, heterozygous, and interspecific genome poses major challenges for producing a reference sequence. We exploited colinearity with sorghum to produce a BAC-based monoploid genome sequence of sugarcane. A minimum tiling path of 4660 sugarcane BAC that best covers the gene-rich part of the sorghum genome was selected based on whole-genome profiling, sequenced, and assembled in a 382-Mb single tiling path of a high-quality sequence. A total of 25,316 protein-coding gene models are predicted, 17% of which display no colinearity with their sorghum orthologs. We show that the two species, S. officinarum and S. spontaneum, involved in modern cultivars differ by their transposable elements and by a few large chromosomal rearrangements, explaining their distinct genome size and distinct basic chromosome numbers while also suggesting that polyploidization arose in both lineages after their divergence.
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Affiliation(s)
- Olivier Garsmeur
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | - Gaetan Droc
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | | | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35801, USA
| | - Bernard Potier
- SASRI (South African Sugarcane Research Institute), Mount Edgecombe, 4300, South Africa
| | - Karen Aitken
- CSIRO (Commonwealth Scientific and Industrial Research Organisation), St. Lucia, QLD, 4067, Australia
| | - Jerry Jenkins
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35801, USA
| | - Guillaume Martin
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | - Carine Charron
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | - Catherine Hervouet
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | - Laurent Costet
- CIRAD, UMR PVBMT, F-97410, Saint-Pierre, La Réunion, France
| | - Nabila Yahiaoui
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | - Adam Healey
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35801, USA
| | - David Sims
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35801, USA
| | | | | | - Andrzej Kilian
- Diversity Arrays Technology, Yarralumla, ACT, 2600, Australia
| | - Agnes Chan
- J. Craig Venter Institute, Rockville, MD, 20850, USA
| | | | | | | | - Hélène Bergès
- INRA-CNRGV, 31326, Toulouse, Castanet-Tolosan, France
| | - Blake Simmons
- JBEI Joint BioEnergy Institute, Emeryville, CA, 94608, USA
| | - Jean Christophe Glaszmann
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France.,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France
| | | | - Robert Henry
- QAAFI (Queensland Alliance for Agriculture and Food Innovation), University of Queensland, St. Lucia, QLD, 4072, Australia
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35801, USA.,Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Angélique D'Hont
- CIRAD (Centre de Coopération Internationale en Recherche Agronomique pour le Développement), UMR AGAP, F-34398, Montpellier, France. .,AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 34060, Montpellier, France.
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16
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Balsalobre TWA, da Silva Pereira G, Margarido GRA, Gazaffi R, Barreto FZ, Anoni CO, Cardoso-Silva CB, Costa EA, Mancini MC, Hoffmann HP, de Souza AP, Garcia AAF, Carneiro MS. GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics 2017; 18:72. [PMID: 28077090 PMCID: PMC5225503 DOI: 10.1186/s12864-016-3383-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/07/2016] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Sugarcane (Saccharum spp.) is predominantly an autopolyploid plant with a variable ploidy level, frequent aneuploidy and a large genome that hampers investigation of its organization. Genetic architecture studies are important for identifying genomic regions associated with traits of interest. However, due to the genetic complexity of sugarcane, the practical applications of genomic tools have been notably delayed in this crop, in contrast to other crops that have already advanced to marker-assisted selection (MAS) and genomic selection. High-throughput next-generation sequencing (NGS) technologies have opened new opportunities for discovering molecular markers, especially single nucleotide polymorphisms (SNPs) and insertion-deletion (indels), at the genome-wide level. The objectives of this study were to (i) establish a pipeline for identifying variants from genotyping-by-sequencing (GBS) data in sugarcane, (ii) construct an integrated genetic map with GBS-based markers plus target region amplification polymorphisms and microsatellites, (iii) detect QTLs related to yield component traits, and (iv) perform annotation of the sequences that originated the associated markers with mapped QTLs to search putative candidate genes. RESULTS We used four pseudo-references to align the GBS reads. Depending on the reference, from 3,433 to 15,906 high-quality markers were discovered, and half of them segregated as single-dose markers (SDMs) on average. In addition to 7,049 non-redundant SDMs from GBS, 629 gel-based markers were used in a subsequent linkage analysis. Of 7,678 SDMs, 993 were mapped. These markers were distributed throughout 223 linkage groups, which were clustered in 18 homo(eo)logous groups (HGs), with a cumulative map length of 3,682.04 cM and an average marker density of 3.70 cM. We performed QTL mapping of four traits and found seven QTLs. Our results suggest the presence of a stable QTL across locations. Furthermore, QTLs to soluble solid content (BRIX) and fiber content (FIB) traits had markers linked to putative candidate genes. CONCLUSIONS This study is the first to report the use of GBS for large-scale variant discovery and genotyping of a mapping population in sugarcane, providing several insights regarding the use of NGS data in a polyploid, non-model species. The use of GBS generated a large number of markers and still enabled ploidy and allelic dosage estimation. Moreover, we were able to identify seven QTLs, two of which had great potential for validation and future use for molecular breeding in sugarcane.
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Affiliation(s)
- Thiago Willian Almeida Balsalobre
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Guilherme da Silva Pereira
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Gabriel Rodrigues Alves Margarido
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Rodrigo Gazaffi
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Fernanda Zatti Barreto
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Carina Oliveira Anoni
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Cláudio Benício Cardoso-Silva
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Estela Araújo Costa
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Melina Cristina Mancini
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Hermann Paulo Hoffmann
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Anete Pereira de Souza
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Antonio Augusto Franco Garcia
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Monalisa Sampaio Carneiro
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
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Margarido GRA, Pastina MM, Souza AP, Garcia AAF. Multi-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2015; 35:175. [PMID: 26273212 PMCID: PMC4529881 DOI: 10.1007/s11032-015-0366-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Accepted: 07/29/2015] [Indexed: 05/13/2023]
Abstract
Breeding trials typically consist of phenotypic observations for various traits evaluated in multiple environments. For sugarcane in particular, repeated measures are obtained for plant crop and one or more ratoons, such that joint analysis through mixed models for modeling heterogeneous genetic (co)variances between traits, locations and harvests is appropriate. This modeling approach also enables us to include molecular marker information, aiding in understanding the genetic architecture of quantitative traits. Our work aims at detecting QTL and QTL by environment interactions by fitting mixed models with multiple QTLs, with appropriate modeling of multi-trait multi-environment data for outcrossing species. We evaluated 100 individuals from a biparental cross at two locations and three years for fiber content, sugar content (POL) and tonnes of cane per hectare (TCH). We detected 13 QTLs exhibiting QTL by location, QTL by harvest or the three-way interaction. Overall, 11 of the 13 effects presented some degree of pleiotropy, affecting at least two traits. Furthermore, these QTLs always affected fiber and TCH in the same direction, whereas POL was affected in the opposite way. There was no evidence in favor of the linked QTL over the pleiotropic QTL hypothesis for any detected genome position. These results provide valuable insights into the genetic basis of quantitative variation in sugarcane and the genetic relation between traits.
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Affiliation(s)
- G. R. A. Margarido
- />Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ), Universidade de São Paulo (USP), CP 83, Piracicaba, SP 13418-900 Brazil
| | - M. M. Pastina
- />Embrapa Milho e Sorgo, CP 285, Sete Lagoas, MG 35701-970 Brazil
| | - A. P. Souza
- />Centro de Biologia Molecular e Engenharia Genética (CBMEG), Departamento de Genética e Evolução, Universidade Estadual de Campinas (UNICAMP), Cidade Universitária Zeferino Vaz, CP6010, Campinas, SP 13083-875 Brazil
| | - A. A. F. Garcia
- />Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ), Universidade de São Paulo (USP), CP 83, Piracicaba, SP 13418-900 Brazil
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18
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Gouy M, Rousselle Y, Bastianelli D, Lecomte P, Bonnal L, Roques D, Efile JC, Rocher S, Daugrois J, Toubi L, Nabeneza S, Hervouet C, Telismart H, Denis M, Thong-Chane A, Glaszmann JC, Hoarau JY, Nibouche S, Costet L. Experimental assessment of the accuracy of genomic selection in sugarcane. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2013; 126:2575-86. [PMID: 23907359 DOI: 10.1007/s00122-013-2156-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Accepted: 07/12/2013] [Indexed: 05/09/2023]
Abstract
Sugarcane cultivars are interspecific hybrids with an aneuploid, highly heterozygous polyploid genome. The complexity of the sugarcane genome is the main obstacle to the use of marker-assisted selection in sugarcane breeding. Given the promising results of recent studies of plant genomic selection, we explored the feasibility of genomic selection in this complex polyploid crop. Genetic values were predicted in two independent panels, each composed of 167 accessions representing sugarcane genetic diversity worldwide. Accessions were genotyped with 1,499 DArT markers. One panel was phenotyped in Reunion Island and the other in Guadeloupe. Ten traits concerning sugar and bagasse contents, digestibility and composition of the bagasse, plant morphology, and disease resistance were used. We used four statistical predictive models: bayesian LASSO, ridge regression, reproducing kernel Hilbert space, and partial least square regression. The accuracy of the predictions was assessed through the correlation between observed and predicted genetic values by cross validation within each panel and between the two panels. We observed equivalent accuracy among the four predictive models for a given trait, and marked differences were observed among traits. Depending on the trait concerned, within-panel cross validation yielded median correlations ranging from 0.29 to 0.62 in the Reunion Island panel and from 0.11 to 0.5 in the Guadeloupe panel. Cross validation between panels yielded correlations ranging from 0.13 for smut resistance to 0.55 for brix. This level of correlations is promising for future implementations. Our results provide the first validation of genomic selection in sugarcane.
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Affiliation(s)
- M Gouy
- eRcane, 97494, Sainte-Clotilde, La Réunion, France
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Bihmidine S, Hunter CT, Johns CE, Koch KE, Braun DM. Regulation of assimilate import into sink organs: update on molecular drivers of sink strength. FRONTIERS IN PLANT SCIENCE 2013; 4:177. [PMID: 23761804 PMCID: PMC3671192 DOI: 10.3389/fpls.2013.00177] [Citation(s) in RCA: 139] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2013] [Accepted: 05/17/2013] [Indexed: 05/18/2023]
Abstract
Recent developments have altered our view of molecular mechanisms that determine sink strength, defined here as the capacity of non-photosynthetic structures to compete for import of photoassimilates. We review new findings from diverse systems, including stems, seeds, flowers, and fruits. An important advance has been the identification of new transporters and facilitators with major roles in the accumulation and equilibration of sugars at a cellular level. Exactly where each exerts its effect varies among systems. Sugarcane and sweet sorghum stems, for example, both accumulate high levels of sucrose, but may do so via different paths. The distinction is central to strategies for targeted manipulation of sink strength using transporter genes, and shows the importance of system-specific analyses. Another major advance has been the identification of deep hypoxia as a feature of normal grain development. This means that molecular drivers of sink strength in endosperm operate in very low oxygen levels, and under metabolic conditions quite different than previously assumed. Successful enhancement of sink strength has nonetheless been achieved in grains by up-regulating genes for starch biosynthesis. Additionally, our understanding of sink strength is enhanced by awareness of the dual roles played by invertases (INVs), not only in sucrose metabolism, but also in production of the hexose sugar signals that regulate cell cycle and cell division programs. These contributions of INV to cell expansion and division prove to be vital for establishment of young sinks ranging from flowers to fruit. Since INV genes are themselves sugar-responsive "feast genes," they can mediate a feed-forward enhancement of sink strength when assimilates are abundant. Greater overall productivity and yield have thus been attained in key instances, indicating that even broader enhancements may be achievable as we discover the detailed molecular mechanisms that drive sink strength in diverse systems.
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Affiliation(s)
- Saadia Bihmidine
- Division of Biological Sciences, University of MissouriColumbia, MO, USA
- Interdisciplinary Plant Group, University of MissouriColumbia, MO, USA
- Missouri Maize Center, University of MissouriColumbia, MO, USA
| | - Charles T. Hunter
- Horticultural Sciences Department, University of FloridaGainesville, FL, USA
- Plant Molecular and Cellular Biology Program, University of FloridaGainesville, FL, USA
| | - Christine E. Johns
- Horticultural Sciences Department, University of FloridaGainesville, FL, USA
- Plant Molecular and Cellular Biology Program, University of FloridaGainesville, FL, USA
| | - Karen E. Koch
- Horticultural Sciences Department, University of FloridaGainesville, FL, USA
- Plant Molecular and Cellular Biology Program, University of FloridaGainesville, FL, USA
| | - David M. Braun
- Division of Biological Sciences, University of MissouriColumbia, MO, USA
- Interdisciplinary Plant Group, University of MissouriColumbia, MO, USA
- Missouri Maize Center, University of MissouriColumbia, MO, USA
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Singh RK, Singh SP, Tiwari DK, Srivastava S, Singh SB, Sharma ML, Singh R, Mohapatra T, Singh NK. Genetic mapping and QTL analysis for sugar yield-related traits in sugarcane. EUPHYTICA 2013. [PMID: 0 DOI: 10.1007/s10681-012-0841-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
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21
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Costet L, Le Cunff L, Royaert S, Raboin LM, Hervouet C, Toubi L, Telismart H, Garsmeur O, Rousselle Y, Pauquet J, Nibouche S, Glaszmann JC, Hoarau JY, D'Hont A. Haplotype structure around Bru1 reveals a narrow genetic basis for brown rust resistance in modern sugarcane cultivars. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 125:825-36. [PMID: 22572763 DOI: 10.1007/s00122-012-1875-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2011] [Accepted: 04/19/2012] [Indexed: 05/07/2023]
Abstract
Modern sugarcane cultivars (Saccharum spp., 2n = 100-130) are high polyploid, aneuploid and of interspecific origin. A major gene (Bru1) conferring resistance to brown rust, caused by the fungus Puccinia melanocephala, has been identified in cultivar R570. We analyzed 380 modern cultivars and breeding materials covering the worldwide diversity with 22 molecular markers genetically linked to Bru1 in R570 within a 8.2 cM segment. Our results revealed a strong LD in the Bru1 region and strong associations between most of the markers and rust resistance. Two PCR markers, that flank the Bru1-bearing segment, were found completely associated with one another and only in resistant clones representing efficient molecular diagnostic for Bru1. On this basis, Bru1 was inferred in 86 % of the 194 resistant sugarcane accessions, revealing that it constitutes the main source of brown rust resistance in modern cultivars. Bru1 PCR diagnostic markers should be particularly useful to identify cultivars with potentially alternative sources of resistance to diversify the basis of brown rust resistance in breeding programs.
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Affiliation(s)
- L Costet
- Cirad, UMR PVBMT, Saint-Pierre, 97410, La Réunion, France
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Lerceteau-Köhler E, Moing A, Guérin G, Renaud C, Petit A, Rothan C, Denoyes B. Genetic dissection of fruit quality traits in the octoploid cultivated strawberry highlights the role of homoeo-QTL in their control. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 124:1059-77. [PMID: 22215248 PMCID: PMC3304055 DOI: 10.1007/s00122-011-1769-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Accepted: 12/08/2011] [Indexed: 05/18/2023]
Abstract
Fruit quality traits are major breeding targets in the Rosaceae. Several of the major Rosaceae species are current or ancient polyploids. To dissect the inheritance of fruit quality traits in polyploid fleshy fruit species, we used a cultivated strawberry segregating population comprising a 213 full-sibling F1 progeny from a cross between the variety 'Capitola' and the genotype 'CF1116'. We previously developed the most comprehensive strawberry linkage map, which displays seven homoeology groups (HG), including each four homoeology linkage groups (Genetics 179:2045-2060, 2008). The map was used to identify quantitative trait loci (QTL) for 19 fruit traits related to fruit development, texture, colour, anthocyanin, sugar and organic acid contents. Analyses were carried out over two or three successive years on field-grown plants. QTL were detected for all the analysed traits. Because strawberry is an octopolyploid species, QTL controlling a given trait and located at orthologous positions on different homoeologous linkage groups within one HG are considered as homoeo-QTL. We found that, for various traits, about one-fourth of QTL were putative homoeo-QTL and were localised on two linkage groups. Several homoeo-QTL could be detected the same year, suggesting that several copies of the gene underlying the QTL are functional. The detection of some other homoeo-QTL was year-dependent. Therefore, changes in allelic expression could take place in response to environmental changes. We believe that, in strawberry as in other polyploid fruit species, the mechanisms unravelled in the present study may play a crucial role in the variations of fruit quality.
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Affiliation(s)
- E. Lerceteau-Köhler
- Ciref, Maison Jeannette, 24140 Douville, France
- Present Address: Department of Plant Biology and Forest Genetics, Uppsala BioCenter, Swedish University of Agricultural Sciences, Box 7080, 750 07 Uppsala, Sweden
| | - A. Moing
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - G. Guérin
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - C. Renaud
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - A. Petit
- Ciref, Maison Jeannette, 24140 Douville, France
| | - C. Rothan
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - Béatrice Denoyes
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
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Pastina MM, Malosetti M, Gazaffi R, Mollinari M, Margarido GRA, Oliveira KM, Pinto LR, Souza AP, van Eeuwijk FA, Garcia AAF. A mixed model QTL analysis for sugarcane multiple-harvest-location trial data. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 124:835-49. [PMID: 22159754 PMCID: PMC3284670 DOI: 10.1007/s00122-011-1748-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2010] [Accepted: 10/28/2011] [Indexed: 05/05/2023]
Abstract
Sugarcane-breeding programs take at least 12 years to develop new commercial cultivars. Molecular markers offer a possibility to study the genetic architecture of quantitative traits in sugarcane, and they may be used in marker-assisted selection to speed up artificial selection. Although the performance of sugarcane progenies in breeding programs are commonly evaluated across a range of locations and harvest years, many of the QTL detection methods ignore two- and three-way interactions between QTL, harvest, and location. In this work, a strategy for QTL detection in multi-harvest-location trial data, based on interval mapping and mixed models, is proposed and applied to map QTL effects on a segregating progeny from a biparental cross of pre-commercial Brazilian cultivars, evaluated at two locations and three consecutive harvest years for cane yield (tonnes per hectare), sugar yield (tonnes per hectare), fiber percent, and sucrose content. In the mixed model, we have included appropriate (co)variance structures for modeling heterogeneity and correlation of genetic effects and non-genetic residual effects. Forty-six QTLs were found: 13 QTLs for cane yield, 14 for sugar yield, 11 for fiber percent, and 8 for sucrose content. In addition, QTL by harvest, QTL by location, and QTL by harvest by location interaction effects were significant for all evaluated traits (30 QTLs showed some interaction, and 16 none). Our results contribute to a better understanding of the genetic architecture of complex traits related to biomass production and sucrose content in sugarcane.
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Affiliation(s)
- M. M. Pastina
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CP 83, 13400-970 Piracicaba, SP Brazil
| | - M. Malosetti
- Biometris, Wageningen University, P.O. Box 100, 6700 AC Wageningen, The Netherlands
| | - R. Gazaffi
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CP 83, 13400-970 Piracicaba, SP Brazil
| | - M. Mollinari
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CP 83, 13400-970 Piracicaba, SP Brazil
| | - G. R. A. Margarido
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CP 83, 13400-970 Piracicaba, SP Brazil
| | - K. M. Oliveira
- Centro de Tecnologia Canavieira (CTC), CP 162, 13400-970 Piracicaba-SP, Brazil
| | - L. R. Pinto
- Centro Avançado da Pesquisa Tecnológica do Agronegócio de Cana, IAC/Apta, CP 206, 14001-970 Ribeirão Preto, SP Brazil
| | - A. P. Souza
- Centro de Biologia Molecular e Engenharia Genética (CBMEG), Departamento de Genética e Evolução, Universidade Estadual de Campinas (UNICAMP), Cidade Universitária Zeferino Vaz, CP 6010, 13083-875 Campinas, SP Brazil
| | - F. A. van Eeuwijk
- Biometris, Wageningen University, P.O. Box 100, 6700 AC Wageningen, The Netherlands
| | - A. A. F. Garcia
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz (ESALQ), Universidade de São Paulo (USP), CP 83, 13400-970 Piracicaba, SP Brazil
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Dal-Bianco M, Carneiro MS, Hotta CT, Chapola RG, Hoffmann HP, Garcia AAF, Souza GM. Sugarcane improvement: how far can we go? Curr Opin Biotechnol 2011; 23:265-70. [PMID: 21983270 DOI: 10.1016/j.copbio.2011.09.002] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2011] [Revised: 08/26/2011] [Accepted: 09/13/2011] [Indexed: 01/05/2023]
Abstract
In recent years, efforts to improve sugarcane have focused on the development of biotechnology for this crop. It has become clear that sugarcane lacks tools for the biotechnological route of improvement and that the initial efforts in sequencing ESTs had limited impact for breeding. Until recently, the models used by breeders in statistical genetics approaches have been developed for diploid organisms, which are not ideal for a polyploid genome such as that of sugarcane. Breeding programs are dealing with decreasing yield gains. The contribution of multiple alleles to complex traits such as yield is a basic question underlining the breeding efforts that could only be addressed by the development of specific tools for this grass. However, functional genomics has progressed and gene expression profiling is leading to the definition of gene networks. The sequencing of the sugarcane genome, which is underway, will greatly contribute to numerous aspects of research on grasses. We expect that both the transgenic and the marker-assisted route for sugarcane improvement will contribute to increased sugar, stress tolerance, and higher yield and that the industry for years to come will be able to rely on sugarcane as the most productive energy crop.
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Affiliation(s)
- Maximiller Dal-Bianco
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, 05508-000 São Paulo, SP, Brazil
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25
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Engineering Advantages, Challenges and Status of Sugarcane and other Sugar-Based Biomass Resources. ACTA ACUST UNITED AC 2010. [DOI: 10.1007/978-3-642-13440-1_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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26
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Shiringani AL, Frisch M, Friedt W. Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2010; 121:323-36. [PMID: 20229249 DOI: 10.1007/s00122-010-1312-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2009] [Accepted: 02/22/2010] [Indexed: 05/05/2023]
Abstract
The productivity of sorghum is mainly determined by quantitative traits such as grain yield and stem sugar-related characteristics. Substantial crop improvement has been achieved by breeding in the last decades. Today, genetic mapping and characterization of quantitative trait loci (QTLs) is considered a valuable tool for trait enhancement. We have investigated QTL associated with the sugar components (Brix, glucose, sucrose, and total sugar content) and sugar-related agronomic traits (flowering date, plant height, stem diameter, tiller number per plant, fresh panicle weight, and estimated juice weight) in four different environments (two locations) using a population of 188 recombinant inbred lines (RILs) from a cross between grain (M71) and sweet sorghum (SS79). A genetic map with 157 AFLP, SSR, and EST-SSR markers was constructed, and several QTLs were detected using composite interval mapping (CIM). Further, additive x additive interaction and QTL x environmental interaction were estimated. CIM identified more than five additive QTLs in most traits explaining a range of 6.0-26.1% of the phenotypic variation. A total of 24 digenic epistatic locus pairs were identified in seven traits, supporting the hypothesis that QTL analysis without considering epistasis can result in biased estimates. QTLs showing multiple effects were identified, where the major QTL on SBI-06 was significantly associated with most of the traits, i.e., flowering date, plant height, Brix, sucrose, and sugar content. Four out of ten traits studied showed a significant QTL x environmental interaction. Our results are an important step toward marker-assisted selection for sugar-related traits and biofuel yield in sorghum.
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Affiliation(s)
- Amukelani Lacrecia Shiringani
- Department of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (IFZ), Justus-Liebig University of Giessen, Heinrich-Buff-Ring 26-32, Giessen, Germany
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