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Shi L, Zou Z, Zhu C, Wang H, Lin L, Wang J, Wei C. Structures, gelatinization properties and enzyme hydrolyses of starches from transparent and floury grains of rices subjected to field natural extreme high temperature. Food Chem 2024; 459:140392. [PMID: 39018617 DOI: 10.1016/j.foodchem.2024.140392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 06/27/2024] [Accepted: 07/06/2024] [Indexed: 07/19/2024]
Abstract
Three rice varieties underwent the field natural extreme high temperature (EHT) with daily average temperature over 30 °C from 21 to 89 days after sowing, and had transparent, chalky and floury grains. The structures, gelatinization properties and enzyme hydrolyses of starches from transparent and floury grains were investigated. Compared with control transparent grains, floury grains subjected to EHT markedly decreased the contents of amylose molecules, amylopectin A chains and amylopectin B1 chains and increased the contents of amylopectin B2 and B3+ chains and the average branch-chain length of amylopectin. Both transparent and floury grains had A-type starches, but floury grain starches exhibited higher relative crystallinity, gelatinization temperature, retrogradation and pasting viscosities than transparent grain starches. Floury grain starches had lower hydrolysis rates than transparent grain starches. Native starches were more resistant to digestion but gelatinized and retrograded starches were more prone to digestion in floury grains than in transparent grains.
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Affiliation(s)
- Laiquan Shi
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Zihan Zou
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Chen Zhu
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Hao Wang
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Lingshang Lin
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China.
| | - Juan Wang
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China.
| | - Cunxu Wei
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China.
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Wang H, Wang G, Qin R, Gong C, Zhou D, Li D, Luo B, Jin J, Deng Q, Wang S, Zhu J, Zou T, Li S, Liang Y, Li P. Improvement of Quality and Disease Resistance for a Heavy-Panicle Hybrid Restorer Line, R600, in Rice ( Oryza sativa L.) by Gene Pyramiding Breeding. Curr Issues Mol Biol 2024; 46:10762-10778. [PMID: 39451519 PMCID: PMC11505696 DOI: 10.3390/cimb46100639] [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: 08/07/2024] [Revised: 09/19/2024] [Accepted: 09/23/2024] [Indexed: 10/26/2024] Open
Abstract
The utilization of heavy-panicle hybrid rice exemplifies the successful integration of architectural enhancement and heterosis, which has been widely adopted in the southwest rice-producing area of China. Iterative improvement in disease resistance and grain quality of heavy-panicle hybrid rice varieties is crucial to promote their sustainable utilization. Here, we performed a molecular design breeding strategy to introgress beneficial alleles of broad-spectrum disease resistance and grain quality into a heavy-panicle hybrid backbone restorer line Shuhui 600 (R600). We successfully developed introgression lines through marker-assisted selection to pyramid major genes (Wxb + ALKA-GC + Pigm + Xa23) derived from three parents (Huanghuazhan, I135, I488), which significantly enhance grain quality and confer resistance to rice blast and bacterial blight (BB). The improved parental R600 line (iR600) exhibited superior grain quality and elevated disease resistance while maintaining the heavy-panicle architecture and high-yield capacity of R600. Moreover, the iR600 was crossed with male sterility line 608A to obtain a new heavy-panicle hybrid rice variety with excellent eating and cooking quality (ECQ) and high yield potential. This study presents an effective breeding strategy for rice breeders to expedite the improvement of grain quality and disease resistance in heavy-panicle hybrid rice.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Yueyang Liang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China (G.W.); (R.Q.); (C.G.); (D.Z.); (D.L.); (B.L.); (J.J.); (Q.D.); (S.W.); (J.Z.); (T.Z.); (S.L.)
| | - Ping Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China (G.W.); (R.Q.); (C.G.); (D.Z.); (D.L.); (B.L.); (J.J.); (Q.D.); (S.W.); (J.Z.); (T.Z.); (S.L.)
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Zhou K, Zhang T, Lu P, Zhao W, Li K, Yang F, Li Q. Characterization and structure-functionality analysis of starch in different layers of Lycoris chinensis bulb scales. Int J Biol Macromol 2024; 280:135694. [PMID: 39288858 DOI: 10.1016/j.ijbiomac.2024.135694] [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: 07/22/2024] [Revised: 09/05/2024] [Accepted: 09/13/2024] [Indexed: 09/19/2024]
Abstract
According to literature, the size distribution of starch granules varies significantly in different layers of Lycoris chinensis bulb scales, however its effect on structural and physicochemical properties of starch still remains unclear. In this study, outer, middle and inner layers of bulb scales of L. chinensis were compared for starch characteristics. Also, the structure-functionality association was investigated based on correlation analysis and hierarchical cluster analysis, using 37 starch quality traits. Compared to commonly consumed starches with similar amylose content, L. chinensis starch gel had lower hardness and viscosities. Among layers, starches varied significantly in particle size, physicochemical and structural properties. As compared to middle and inner scales, the starch in outer scales had higher amylose content, hardness and viscosities, but lower gelatinization temperature, weight-average molar mass and degree of polymorphism. Correlation analysis revealed significant correlations among traits, and interestingly, gelatinization temperature (Tp) was found positively correlated to traits of molecular weight (p < 0.05). The 37 traits of starch characteristics can be divided into three subgroups, as supported by the results of Pearson correlation analysis and hierarchical cluster analysis. In general, the information presented in the current study are useful for Lycoris bulb starch utilization and insightful for a better understanding of structure-functionality association of starch.
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Affiliation(s)
- Kunyu Zhou
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region, Ministry of Education, Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China
| | - Tongze Zhang
- Biotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
| | - Peihui Lu
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region, Ministry of Education, Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China
| | - Wei Zhao
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region, Ministry of Education, Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China
| | - Kehu Li
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region, Ministry of Education, Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China.
| | - Feng Yang
- BGI-Shenzhen, Shenzhen 518103, China.
| | - Qingzhu Li
- Forestry and Pomology Research Institute, Protected Horticultural Research Institute, Shanghai Key Laboratory of Protected Horticultural Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
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Nie S, Chen L, Zheng M, Dong J, Ma Y, Zhou L, Wang J, Chen J, Hu H, Yang T, Zhao J, Zhang S, Yang W. GWAS and Transcriptomic Analysis Identify OsRING315 as a New Candidate Gene Controlling Amylose Content and Gel Consistency in Rice. RICE (NEW YORK, N.Y.) 2024; 17:38. [PMID: 38849622 PMCID: PMC11161452 DOI: 10.1186/s12284-024-00718-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/26/2024] [Indexed: 06/09/2024]
Abstract
Cooking quality is the main factor determining the market value of rice. Although several major genes and a certain number of QTLs controlling cooking quality have been identified, the genetic complexity and environmental susceptibility limit the further improvement for cooking quality by molecular breeding. This research conducted a genome-wide association study to elucidate the QTLs related to cooking quality including amylose content (AC), gel consistency (GC) and alkali spreading value (ASV) by using 450 rice accessions consisting of 300 indica and 150 japonica accessions in two distinct environments. A total of 54 QTLs were identified, including 25 QTLs for AC, 12 QTLs for GC and 17 QTLs for ASV. Among them, 10 QTLs were consistently observed by the same population in both environments. Six QTLs were co-localized with the reported QTLs or cloned genes. The Wx gene for AC and GC, and the ALK gene for ASV were identified in every population across the two environments. The qAC9-2 for AC and the qGC9-2 for GC were defined to the same interval. The OsRING315 gene, encoding an E3 ubiquitin ligase, was considered as the candidate gene for both qAC9-2 and qGC9-2. The higher expression of OsRING315 corresponded to the lower AC and higher GC. Three haplotypes of OsRING315 were identified. The Hap 1 mainly existed in the japonica accessions and had lower AC. The Hap 2 and Hap 3 were predominantly present in the indica accessions, associated with higher AC. Meanwhile, the GC of accessions harboring Hap 1 was higher than that of accessions harboring Hap 3. In addition, the distribution of the three haplotypes in several rice-growing regions was unbalanced. The three traits of cooking quality are controlled by both major and minor genes and susceptible to environmental factors. The expression level of OsRING315 is related to both AC and GC, and this gene can be a promising target in quality improvement by using the gene editing method. Moreover, the haplotypes of OsRING315 differentiate between indica and japonica, and reveal the differences in GC and AC between indica and japonica rice.
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Affiliation(s)
- Shuai Nie
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Luo Chen
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Minhua Zheng
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Jingfang Dong
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Yamei Ma
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Lian Zhou
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Jian Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Jiansong Chen
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Haifei Hu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Tifeng Yang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Junliang Zhao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Shaohong Zhang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China
| | - Wu Yang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, P.R. China.
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Yang Y, Zhou L, Feng L, Jiang J, Huang L, Liu Q, Zhang Y, Zhang C, Liu Q. Deciphering the Role of Waxy Gene Mutations in Enhancing Rice Grain Quality. Foods 2024; 13:1624. [PMID: 38890853 PMCID: PMC11171567 DOI: 10.3390/foods13111624] [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: 04/16/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/20/2024] Open
Abstract
Amylose content (AC) stands as a pivotal determinant of rice grain quality, primarily governed by the Waxy gene (Wx). The allelic variation within this gene, particularly the presence of the Wxmp allele derived from the ancestral Wxmq allele, significantly influences AC and is prevalent among soft japonica rice varieties in southern China. Although both alleles are associated with lower AC, there remains a paucity of detailed understanding regarding the interplay between specific functional single nucleotide polymorphisms (SNPs) within these alleles and the overarching rice grain quality. To investigate this, we engineered three distinct transgenic rice lines, each harboring the Wxmp, Wxmq, or Wxb-5c alleles in the background of the glutinous rice cultivar Nip(wx). This suite of transgenic rice lines showcased varying degrees of grain transparency inversely correlated to AC, which in turn influenced other physicochemical properties of the rice grains, such as taste value of cooked rice, gel consistency, and starch pasting properties. Additionally, analyses of gene expression and enzyme activity revealed that the functional SNPs, Ex4-53G to A and Ex5-53T to C, lead to a decline in the activity of granule-bound starch synthase I (GBSSI) without altering expression levels.
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Affiliation(s)
- Yong Yang
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Lihui Zhou
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu High Quality Rice Research and Development Center, Jiangsu Key Laboratory for Agro-Biology, Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;
| | - Linhao Feng
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Jianying Jiang
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Lichun Huang
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Qing Liu
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Commonwealth Scientific and Industrial Research Organisation Agriculture and Food, GPO Box 1700, Canberra, ACT 2601, Australia
| | - Yadong Zhang
- Jiangsu High Quality Rice Research and Development Center, Jiangsu Key Laboratory for Agro-Biology, Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;
| | - Changquan Zhang
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Qiaoquan Liu
- Key Laboratory of Crop Genomics and Molecular Breeding of Jiangsu Province, Zhongshan Biological Breeding Laboratory, Yangzhou University, Yangzhou 225009, China; (Y.Y.); (L.Z.); (L.F.); (J.J.); (L.H.); (Q.L.); (Q.L.)
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
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Wang H, Feng Y, Guo K, Shi L, Xu X, Wei C. Structural, Thermal, Pasting and Digestion Properties of Starches from Developing Root Tubers of Sweet Potato. Foods 2024; 13:1103. [PMID: 38611407 PMCID: PMC11011326 DOI: 10.3390/foods13071103] [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: 03/14/2024] [Revised: 03/24/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
Three sweet potato varieties with white-, yellow- and purple-fleshed root tubers were harvested at 100, 120, 140 and 160 days after planting (DAP). Their starch structural, thermal, pasting and digestion properties were measured to reveal the influences of harvesting dates on the physicochemical properties of sweet potato root tuber starch. Though starches from different varieties displayed some differences in physicochemical properties due to their different genetic backgrounds, they were influenced by harvesting date in similar ways. Starches isolated from root tubers at 100 and 160 DAP exhibited lower granule sizes than those at 120 and 140 DAP. The amylose content was higher in root tubers at 100 and 120 DAP than at 140 and 160 DAP. Starches from root tubers at 100 DAP exhibited CA-type X-ray diffraction patterns, and then the B-type crystallinity gradually increased at later harvesting dates. The different harvesting dates had no significant effects on the short-ranged ordered structure and lamellar thickness of starch, but the lamellar peak intensity decreased significantly at later harvesting dates. Starch had a lower gelatinization temperature and a wider gelatinization temperature range in root tubers at 140 and 160 DAP than at 100 and 120 DAP. The higher peak viscosity and lower pasting temperature were associated with the late harvesting date. The digestion of starch had slight differences among root tubers at different harvesting dates. The harvesting dates of root tubers played more important roles in starch properties than the variety. This study would be helpful for breeders, farmers and sweet potato starch users.
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Affiliation(s)
- Hao Wang
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; (H.W.); (Y.F.); (K.G.); (L.S.); (X.X.)
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China
| | - Yuanhao Feng
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; (H.W.); (Y.F.); (K.G.); (L.S.); (X.X.)
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China
| | - Ke Guo
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; (H.W.); (Y.F.); (K.G.); (L.S.); (X.X.)
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Laiquan Shi
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; (H.W.); (Y.F.); (K.G.); (L.S.); (X.X.)
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China
| | - Xin Xu
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; (H.W.); (Y.F.); (K.G.); (L.S.); (X.X.)
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China
| | - Cunxu Wei
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; (H.W.); (Y.F.); (K.G.); (L.S.); (X.X.)
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China
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Ren H, Zhang T, Zhao W, He L, Li K, Li Q. "Structure-function" analysis using starches isolated from Lycoris chinensis bulbs of different developmental stages. Int J Biol Macromol 2024; 258:129035. [PMID: 38158068 DOI: 10.1016/j.ijbiomac.2023.129035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/14/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
In this study, Lycoris chinensis bulbs of four developmental stages were compared for starch characteristics. Based on correlation analysis and hierarchical cluster analysis, the relationships among 36 traits were discussed. Compared to commonly consumed starches, L. chinensis starch had higher amylose content (33.4-43.2 %) and weight-average molar mass (36410-82,781 kDa), lower gelatinization temperature (61.8-68.1 °C), gel hardness (19.0-39.5 g) and viscosities. Among developmental stages, starches varied significantly in characteristics. As compared to juvenile stage (S1), mature bulbs (S4) had higher amylose content, lower gelatinization temperature, weight-average molar mass and degree of polymorphism. Correlation analysis revealed that the molecular weight-related traits had significantly positive correlations to gelatinization temperature (Tp, p < 0.05), positive but weak correlations to traits of particle size distribution, significantly negative correlations to AAC and many parameters of viscosity properties (p < 0.05). Based on the results of correlation analysis and hierarchical cluster analysis, the 36 traits of starch characteristics were proposed to be divided into three groups: particle size-related traits, molecular weight-related traits and AAC-related traits. The information presented in the current study are useful for future studies on starches of Lycoris and other bulb species, and instructive for future studies in investigating the "Structure-Function" relationship in starch.
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Affiliation(s)
- Huanhuan Ren
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China
| | - Tongze Zhang
- Biotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
| | - Wei Zhao
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China
| | - Liangliang He
- Department of Grassland Science, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
| | - Kehu Li
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou Province, China.
| | - Qingzhu Li
- Forestry and Pomology Research Institute, Protected Horticultural Research Institute, Shanghai Key Laboratory of Protected Horticultural Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
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8
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Hao Y, Huang F, Gao Z, Xu J, Zhu Y, Li C. Starch Properties and Morphology of Eight Floury Endosperm Mutants in Rice. PLANTS (BASEL, SWITZERLAND) 2023; 12:3541. [PMID: 37896005 PMCID: PMC10610063 DOI: 10.3390/plants12203541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/21/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023]
Abstract
Besides increasing grain yield, improving rice (Oryza sativa L.) quality has been paid more and more attention recently. Cooking and eating quality (CEQ) is an important indicator of rice quality. Since CEQs are quantitative traits and challenging for measurement, efforts have mainly focused on two major genes, Wx and SSIIa. Chalkiness and floury endosperm significantly affect the eating quality of rice, leading to noticeable changes in CEQ. Due to the easily observable phenotype of floury endosperm, cloning single gene mutations that cause floury endosperm and evaluating changes in CEQs indirectly facilitate the exploration of the minor genes controlling CEQ. In this study, eight mutants with different degrees of floury endosperm, generated through ethylmethane sulfonate (EMS) mutagenesis, were analyzed. These mutants exhibited wide variation in starch morphology and CEQs. Particularly, the z2 mutant showed spherical starch granules significantly increased rapid visco analyzer (RVA) indexes and urea swelling, while the z4 mutant displayed extremely sharp starch granules and significantly decreased RVA indexes and urea swelling compared to the wild type. Additionally, these mutants still maintained correlations with certain RVA profiles, suggesting that the genes PUL, which affect these indexes, may not undergo mutation. Cloning these mutated genes in the future, especially in z2 and z4, will enhance the genetic network of rice eating quality and hold significant importance for molecular marker-assisted breeding to improve rice quality.
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Affiliation(s)
- Yuanyuan Hao
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (Y.H.); (F.H.); (Z.G.)
| | - Fudeng Huang
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (Y.H.); (F.H.); (Z.G.)
| | - Zhennan Gao
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (Y.H.); (F.H.); (Z.G.)
| | - Junfeng Xu
- Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Hangzhou 310021, China;
| | - Ying Zhu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Hangzhou 310021, China
| | - Chunshou Li
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (Y.H.); (F.H.); (Z.G.)
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9
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Zheng Y, Thi KM, Lin L, Xie X, Khine EE, Nyein EE, Lin MHW, New WW, Aye SS, Wu W. Genome-wide association study of cooking-caused grain expansion in rice ( Oryza sativa L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1250854. [PMID: 37711286 PMCID: PMC10498926 DOI: 10.3389/fpls.2023.1250854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/14/2023] [Indexed: 09/16/2023]
Abstract
Cooking-caused rice grain expansion (CCRGE) is a critical trait for evaluating the cooking quality of rice. Previous quantitative trait locus (QTL) mapping studies on CCRGE have been limited to bi-parental populations, which restrict the exploration of natural variation and mapping resolution. To comprehensively and precisely dissect the genetic basis of CCRGE, we performed a genome-wide association study (GWAS) on three related indices: grain breadth expansion index (GBEI), grain length expansion index (GLEI), and grain length-breadth ratio expansion index (GREI), using 345 rice accessions grown in two years (environments) and 193,582 SNP markers. By analyzing each environment separately using seven different methods (3VmrMLM, mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, ISIS EM-BLASSO), we identified a total of 32, 19 and 27 reliable quantitative trait nucleotides (QTNs) associated with GBEI, GLEI and GREI, respectively. Furthermore, by jointly analyzing the two environments using 3VmrMLM, we discovered 19, 22 and 25 QTNs, as well as 9, 5 and 7 QTN-by-environment interaction (QEIs) associated with GBEI, GLEI and GREI, respectively. Notably, 12, 9 and 15 QTNs for GBEI, GLEI and GREI were found within the intervals of previously reported QTLs. In the vicinity of these QTNs or QEIs, based on analyses of mutation type, gene ontology classification, haplotype, and expression pattern, we identified five candidate genes that are related to starch synthesis and endosperm development. The five candidate genes, namely, LOC_Os04g53310 (OsSSIIIb, near QTN qGREI-4.5s), LOC_Os05g02070 (OsMT2b, near QTN qGLEI-5.1s), LOC_Os06g04200 (wx, near QEI qGBEI-6.1i and QTNs qGREI-6.1s and qGLEI-6.1t), LOC_Os06g12450 (OsSSIIa, near QTN qGLEI-6.2t), and LOC_Os08g09230 (OsSSIIIa, near QTN qGBEI-8.1t), are predicted to be involved in the process of rice grain starch synthesis and to influence grain expansion after cooking. Our findings provide valuable insights and will facilitate genetic research and improvement of CCRGE.
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Affiliation(s)
- Yan Zheng
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Khin Mar Thi
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Lihui Lin
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Xiaofang Xie
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Ei Ei Khine
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Ei Ei Nyein
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Min Htay Wai Lin
- Department of Botany, Mawlamyine University, Mawlamyine, Myanmar
| | - Win Win New
- Department of Botany, Mawlamyine University, Mawlamyine, Myanmar
| | - San San Aye
- Department of Botany, Mawlamyine University, Mawlamyine, Myanmar
| | - Weiren Wu
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
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10
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Li K, Zhang T, Ren H, Zhao W, Hong S, Ge Y, Li X, Corke H. Structural and physicochemical properties of bracken fern ( Pteridium aquilinum) starch. Front Nutr 2023; 10:1201357. [PMID: 37408989 PMCID: PMC10318185 DOI: 10.3389/fnut.2023.1201357] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/31/2023] [Indexed: 07/07/2023] Open
Abstract
Introduction Bracken fern (Pteridium aquilinum) starch is a non-mainstream, litter-researched starch, thus the starch characteristics remain largely unknown. Methods The structural and physicochemical properties of two bracken starches were systematically investigated, by use of various techniques that routinely applied in starch analysis. Results and Discussion The starches had amylose contents of 22.6 and 24.7%, respectively. The starch granules possessed C-type polymorph with D (4,3) ranging from 18.6 to 24.5 μm. During gelatinization event, the bracken starches showed lower viscosity than typical for rice starch, and lower gelatinization temperature than typical for cereal starches. After gelatinization event, bracken starches formed much softer and sticky gel than rice and potato starch. The molecular weight and branching degree (indexed by Mw, Mn and Rz values) of bracken starches were much higher than starches of many other sources. The branch chain length distributions showed that the bracken starches were structurally similar to some rice varieties (e. g. BP033, Beihan 1#), as reflected by proportions of A, B1, B2, and B3 chains. Notable differences in some starch traits between the two bracken starches were recorded, e. g. amylose content, gel hardness, gelatinization temperature and traits of structural properties. This study provides useful information on the utilization of bracken starch in both food and non-food industries.
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Affiliation(s)
- Kehu Li
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang, Guizhou, China
| | - Tongze Zhang
- Biotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China
| | - Huanhuan Ren
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang, Guizhou, China
| | - Wei Zhao
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang, Guizhou, China
| | - Siqi Hong
- Biotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China
| | - Yongyi Ge
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering (CICMEAB), Institute of Agro-Bioengineering, College of Life Sciences, Guizhou University, Guiyang, Guizhou, China
| | - Xiaoqiong Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Food Sciences, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Harold Corke
- Biotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China
- Faculty of Biotechnology and Food Engineering, Technion–Israel Institute of Technology, Haifa, Israel
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11
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Ma M, Lei E, Wang T, Meng H, Zhang W, Lu B. Genetic Diversity and Association Mapping of Grain-Size Traits in Rice Landraces from the Honghe Hani Rice Terraces System in Yunnan Province. PLANTS (BASEL, SWITZERLAND) 2023; 12:1678. [PMID: 37111901 PMCID: PMC10146266 DOI: 10.3390/plants12081678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/31/2023] [Accepted: 04/15/2023] [Indexed: 06/19/2023]
Abstract
The Honghe Hani Rice Terraces System (HHRTS) of Yunnan Province is an important agricultural and cultural heritage landscape. Until now, a large number of local rice landraces have been planted. Mining excellent genes contained in these landraces provides a reference for variety improvement and new variety breeding. In this study, 96 rice landraces collected from the Hani terraces were planted in Honghe Mengzi, Yunnan Province, in 2013, 2014, 2015, and 2021, and five major grain traits were measured and analyzed. The genomic variation of 96 rice landraces was scanned by 201 simple sequence repeat (SSR) markers. The genetic diversity, population structure, and genetic relationships of the natural population were analyzed. The mixed linear model (MLM) method of the TASSEL software was used to analyze the associations between markers and traits. A total of 936 alleles were amplified by 201 pairs of SSR primers. The average number of observed alleles (Na), the effective number of alleles (Ne), Shannon's information index (I), heterozygosity (H), and the polymorphism information content (PIC) per marker were 4.66, 2.71, 1.08, 0.15, and 0.55, respectively. Ninety-six landraces were divided into two groups by population structure, clustering, and principal component analysis, and indica rice was the main group. The coefficients of variation of the five traits ranged from 6.80 to 15.24%, and their broad heritabilities were more than 70%. In addition, there were positive correlations among the same grain traits between different years. Through MLM analysis, 2, 36, 7, 7, and 4 SSR markers were significantly associated with grain length (GL), grain width (GW), grain thickness (GT), grain length-width ratio (LWR), and thousand-grain weight (TGW), respectively. The explanation rates of phenotypic variation were 16.31 (RM449, Chr. 1)-23.51% (RM316, Chr. 9), 10.84 (RM523, Chr. 3; RM161/RM305, Chr. 5)-43.01% (RM5496, Chr. 1), 11.98 (RM161/RM305, Chr. 5)-24.72% (RM275, Chr. 6), 12.68 (RM126, Chr. 8)-36.96% (RM5496, Chr. 1), and 17.65 (RM4499, Chr. 2)-26.32% (RM25, Chr. 8), respectively. The associated markers were distributed on 12 chromosomes of the genome.
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Affiliation(s)
- Mengli Ma
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
| | - En Lei
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
| | - Tiantao Wang
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
| | - Hengling Meng
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
| | - Wei Zhang
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
| | - Bingyue Lu
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
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12
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Zhu D, Shao Y, Fang C, Li M, Yu Y, Qin Y. Effect of storage time on chemical compositions, physiological and cooking quality characteristics of different rice types. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:2077-2087. [PMID: 36239993 DOI: 10.1002/jsfa.12275] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 09/18/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Storage affects rice quality significantly. The aim of this study was to investigate the changes in the chemical composition and in the physiological and cooking quality characteristics of three rice types after 1 year storage at 25 °C. RESULTS Two japonica, two indica, and two indica-japonica hybrid rice varieties were selected. After storage, the total starch content decreased. The amylose content of japonica, indica, and indica-japonica hybrid rice increased by 9.63%-11.65%, 2.99%-4.67%, and 8.07%-8.97%, respectively, and the fat content decreased by 60.00%-65.00%, 37.21%-46.51%, and 41.67%-42.42%, respectively. The abscisic acid (ABA) and raffinose content decreased after 1 year's storage; the former decreased gradually during the storage and the latter increased by 19.35%-45.45%, 7.02%-10.77%, and 16.13%-28.13%, respectively, after 4 months' storage and then decreased to the lowest level after 1 year's storage. The activity of antioxidant enzymes deceased, which resulted in the increases in fatty acid value and malondialdehyde (MDA). The changes in chemical composition after 1 year storage led to the deterioration of rice cooking quality, which was reflected in the decrease in viscosity and increases in gelatinization temperature and cooked rice hardness. CONCLUSION After 1 year's storage, the rice chemical composition changed and physiological and cooking quality characteristics decreased. Compared with japonica and indica-japonica hybrid rice, indica rice was more stable during 1 year storage. This may be due to the higher content of ABA and raffinose in fresh rice. Our findings will provide information for the identification and breeding of storable rice cultivars. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Dawei Zhu
- Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture and Rural Affairs, China National Rice Research Institute, Hangzhou, China
| | - Yafang Shao
- Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture and Rural Affairs, China National Rice Research Institute, Hangzhou, China
| | - Changyun Fang
- Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture and Rural Affairs, China National Rice Research Institute, Hangzhou, China
| | - Min Li
- Rice Research Institute of Guizhou Province, Guiyang, China
| | - Yonghong Yu
- Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture and Rural Affairs, China National Rice Research Institute, Hangzhou, China
| | - Yebo Qin
- Argo-Technical Extension Service Center of Zhejiang Province, Hangzhou, China
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13
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Molecular bases of rice grain size and quality for optimized productivity. Sci Bull (Beijing) 2023; 68:314-350. [PMID: 36710151 DOI: 10.1016/j.scib.2023.01.026] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
The accomplishment of further optimization of crop productivity in grain yield and quality is a great challenge. Grain size is one of the crucial determinants of rice yield and quality; all of these traits are typical quantitative traits controlled by multiple genes. Research advances have revealed several molecular and developmental pathways that govern these traits of agronomical importance. This review provides a comprehensive summary of these pathways, including those mediated by G-protein, the ubiquitin-proteasome system, mitogen-activated protein kinase, phytohormone, transcriptional regulators, and storage product biosynthesis and accumulation. We also generalize the excellent precedents for rice variety improvement of grain size and quality, which utilize newly developed gene editing and conventional gene pyramiding capabilities. In addition, we discuss the rational and accurate breeding strategies, with the aim of better applying molecular design to breed high-yield and superior-quality varieties.
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14
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Xia D, Wang Y, Shi Q, Wu B, Yu X, Zhang C, Li Y, Fu P, Li M, Zhang Q, Liu Q, Gao G, Zhou H, He Y. Effects of Wx Genotype, Nitrogen Fertilization, and Temperature on Rice Grain Quality. FRONTIERS IN PLANT SCIENCE 2022; 13:901541. [PMID: 35937336 PMCID: PMC9355397 DOI: 10.3389/fpls.2022.901541] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
Quality is a complex trait that is not only the key determinant of the market value of the rice grain, but is also a major constraint in rice breeding. It is influenced by both genetic and environmental factors. However, the combined effects of genotypes and environmental factors on rice grain quality remain unclear. In this study, we used a three-factor experimental design to examine the grain quality of different Wx genotypes grown under different nitrogen fertilization and temperature conditions during grain development. We found that the three factors contributed differently to taste, appearance, and nutritional quality. Increased Wx function and nitrogen fertilization significantly reduced eating quality, whereas high temperature (HT) had almost no effect. The main effects of temperature on appearance quality and moderate Wx function at low temperatures (LTs) contributed to better appearance, and higher nitrogen fertilization promoted appearance at HTs. With regard to nutritional quality, Wx alleles promoted amylose content (AC) as well as starch-lipids content (SLC); nitrogen fertilization increased storage protein content (PC); and higher temperature increased lipid content but decreased the PC. This study helps to broaden the understanding of the major factors that affect the quality of rice and provides constructive messages for rice quality improvement and the cultivation of high-quality rice varieties.
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Affiliation(s)
- Duo Xia
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Yipei Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Qingyun Shi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Bian Wu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xiaoman Yu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Changquan Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Yanhua Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Pei Fu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Minqi Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Qinglu Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Qiaoquan Liu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Guanjun Gao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Hao Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
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15
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Raouf HB, Sabouri A, Allahgholipour M. Study of Physicochemical Properties of Rice Grains, Association and Haplotype Analysis Using SSR Genetic Markers. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422060060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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16
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Zhang H, Xu H, Jiang Y, Zhang H, Wang S, Wang F, Zhu Y. Genetic Control and High Temperature Effects on Starch Biosynthesis and Grain Quality in Rice. FRONTIERS IN PLANT SCIENCE 2021; 12:757997. [PMID: 34975940 PMCID: PMC8718882 DOI: 10.3389/fpls.2021.757997] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/23/2021] [Indexed: 05/29/2023]
Abstract
Grain quality is one of the key targets to be improved for rice breeders and covers cooking, eating, nutritional, appearance, milling, and sensory properties. Cooking and eating quality are mostly of concern to consumers and mainly determined by starch structure and composition. Although many starch synthesis enzymes have been identified and starch synthesis system has been established for a long time, novel functions of some starch synthesis genes have continually been found, and many important regulatory factors for seed development and grain quality control have recently been identified. Here, we summarize the progress in this field as comprehensively as possible and hopefully reveal some underlying molecular mechanisms controlling eating quality in rice. The regulatory network of amylose content (AC) determination is emphasized, as AC is the most important index for rice eating quality (REQ). Moreover, the regulatory mechanism of REQ, especially AC influenced by high temperature which is concerned as a most harmful environmental factor during grain filling is highlighted in this review.
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Affiliation(s)
- Hua Zhang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
| | - Heng Xu
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
| | - Yingying Jiang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Heng Zhang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
| | - Shiyu Wang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, China
| | - Fulin Wang
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
| | - Ying Zhu
- State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro-products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Science, Hangzhou, China
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17
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Zhang L, Zhang C, Yan Y, Hu Z, Wang K, Zhou J, Zhou Y, Cao L, Wu S. Influence of starch fine structure and storage proteins on the eating quality of rice varieties with similar amylose contents. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021; 101:3811-3818. [PMID: 33314139 DOI: 10.1002/jsfa.11014] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 12/08/2020] [Accepted: 12/13/2020] [Indexed: 05/02/2023]
Abstract
BACKGROUND Rice eating quality largely dictates consumer preference, and the demand for new rice varieties with excellent eating quality from farmers is increasing. Identification of factors contributing to eating quality is helpful for developing high-quality rice varieties. RESULTS Two groups of rice with different apparent amylose content (AACs) were used in this study. One group contained four varieties with low AACs (8.8-9.4%), whereas the other contained four traditional varieties with medium AACs (17.2-17.5%). The physicochemical properties, starch fine structure and crystallinity and storage protein composition of the two groups were analyzed. We found that, in both groups, the rice varieties with high eating quality had more short-chain amylopectin, lower glutelin and prolamin content, and a higher albumin content. In addition, the low-AAC varieties produced opaque endosperms, which may result from an increased number of pores in the center of starch granules. CONCLUSIONS Both the fine structure of starch and the storage protein composition were closely related to rice eating quality. In both groups, short branch-chain amylopectin, short-chain amylopectin [degree of polymerization (DP) 6-12], and albumin had positive effects on eating quality. By contrast, long branch-chain amylopectin, long-chain amylopectin (DP 35-60), glutelin and prolamin had adverse effects on eating quality of rice. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Lixia Zhang
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Changquan Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Ying Yan
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Zejun Hu
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Kai Wang
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Jihua Zhou
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Yong Zhou
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, College of Agriculture, Yangzhou University, Yangzhou, China
| | - Liming Cao
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Shujun Wu
- Rice Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, China
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18
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Differential expression of three key starch biosynthetic genes in developing grains of rice differing in glycemic index. J Cereal Sci 2021. [DOI: 10.1016/j.jcs.2021.103187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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19
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Griebel S, Adedayo A, Tuinstra MR. Genetic diversity for starch quality and alkali spreading value in sorghum. THE PLANT GENOME 2021; 14:e20067. [PMID: 33259143 DOI: 10.1002/tpg2.20067] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 09/16/2020] [Indexed: 06/12/2023]
Abstract
Sorghum is an important food crop in many parts of Africa and Asia. Landraces of sorghum are known to exhibit variation in food quality traits including starch and protein content and composition. In this study, a panel of diverse sorghum breeding lines and 788 sorghum conversion (SC) lines representing the global germplasm diversity of the crop were evaluated for variation in starch quality based on alkali spreading value (ASV). A small number of genotypes with stable expression of the ASV+ phenotype across seasons were identified; mostly representing Nandyal types from India. Genetic studies showed the ASV+ phenotype was inherited as a recessive trait. Whole genome resequencing of ASV+ donor lines revealed SNPs in genes involved in starch biosynthesis. A genome wide association study (GWAS) identified a significant SNP associated with ASV near Sobic.010G273800, a starch branching enzyme I precursor, and Sobic.010G274800 and Sobic.010G275001, both annotated as glucosyltransferases. Physiochemical analyses of accessions with contrasting ASV phenotypes demonstrated an environment dependent lower starch gelatinization temperature (GT), amylose content of approximately 22%, and good gel consistency. The starch quality attributes of these lines could be valuable in food products that require good gel consistency and viscosity.
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Affiliation(s)
- Stefanie Griebel
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
- Department of Crop Sciences, Division of Plant Breeding Methodology, University of Göttingen, Göttingen, 37075, Germany
| | - Adeyanju Adedayo
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
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20
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Zhao C, Zhao L, Zhao Q, Chen T, Yao S, Zhu Z, Zhou L, Nadaf AB, Liang W, Lu K, Zhang Y, Wang C. Genetic dissection of eating and cooking qualities in different subpopulations of cultivated rice (Oryza sativa L.) through association mapping. BMC Genet 2020; 21:119. [PMID: 33054745 PMCID: PMC7556922 DOI: 10.1186/s12863-020-00922-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/29/2020] [Indexed: 12/03/2022] Open
Abstract
Background Eating and cooking qualities (ECQs) of rice (Oryza sativa L.) determine consumer acceptance and the economic value of rice varieties. The starch physicochemical properties, i.e. amylose content, gel consistency, gelatinization temperature and pasting viscosity are important indices for evaluating rice ECQs. Genetic factors are required for development of rice varieties with excellent ECQs and association mapping is one of the promising approaches for discovering such associated genetic factors. Results A genome-wide association mapping was performed on a set of 253 non-glutinous rice accessions consisting of 83 indica and 170 japonica cultivated rice varieties through phenotyping for 11 ECQ traits in two consecutive years and genotyping with 210 polymorphic SSR and candidate-gene markers. These markers amplified 747 alleles with an average of 3.57 alleles per locus. The structure, phylogenetic relationship, and principal component analysis indicated a strong population differentiation between indica and japonica accessions and association mapping was thus undertaken within indica and japonica subpopulations. All traits showed a large phenotypic variation and highly significant phenotypic correlations were present between most of traits. A total of 33 and 30 loci were located for 11 ECQs in indica and japonica subpopulations respectively. Most of associated loci were overlapped with starch synthesis-related genes (SSRGs), and the Wx locus gathered 14 associated loci with the largest effects on amylose content, gel consistency and pasting viscosities. Eight subpopulation specific markers, RM588, Wx-(CT)n, SSI and SBE1 for indica subpopulation and RM550, Wxmp, SSIIa and SBE4 for japonica subpopulation, were identified, suggesting alleles of SSRGs showed the subspecific tendency. Nevertheless, allelic variation in SSIIa showed no tendency towards subspecies. One associated maker RM550 detected in japonica subpopulation for amylose content and pasting viscosity was verified a potential novel and stably expressed locus and could be selected for further fine mapping. Conclusion This study illustrated the potential for dissecting genetic factors of complex traits in domesticated rice subspecies and provided highly associated markers to facilitate marker-assisted selection for breeding high-quality indica or japonica rice varieties.
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Affiliation(s)
- Chunfang Zhao
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Ling Zhao
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Qingyong Zhao
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Tao Chen
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Shu Yao
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Zhen Zhu
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Lihui Zhou
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | | | - Wenhua Liang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Kai Lu
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China
| | - Yadong Zhang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China.
| | - Cailin Wang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Jiangsu Rice Engineering Research Center, National Center for Rice Improvement (Nanjing), Nanjing, 210014, China.
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21
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Singh RK, Prasad A, Muthamilarasan M, Parida SK, Prasad M. Breeding and biotechnological interventions for trait improvement: status and prospects. PLANTA 2020; 252:54. [PMID: 32948920 PMCID: PMC7500504 DOI: 10.1007/s00425-020-03465-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/12/2020] [Indexed: 05/06/2023]
Abstract
Present review describes the molecular tools and strategies deployed in the trait discovery and improvement of major crops. The prospects and challenges associated with these approaches are discussed. Crop improvement relies on modulating the genes and genomic regions underlying key traits, either directly or indirectly. Direct approaches include overexpression, RNA interference, genome editing, etc., while breeding majorly constitutes the indirect approach. With the advent of latest tools and technologies, these strategies could hasten the improvement of crop species. Next-generation sequencing, high-throughput genotyping, precision editing, use of space technology for accelerated growth, etc. had provided a new dimension to crop improvement programmes that work towards delivering better varieties to cope up with the challenges. Also, studies have widened from understanding the response of plants to single stress to combined stress, which provides insights into the molecular mechanisms regulating tolerance to more than one stress at a given point of time. Altogether, next-generation genetics and genomics had made tremendous progress in delivering improved varieties; however, the scope still exists to expand its horizon to other species that remain underutilized. In this context, the present review systematically analyses the different genomics approaches that are deployed for trait discovery and improvement in major species that could serve as a roadmap for executing similar strategies in other crop species. The application, pros, and cons, and scope for improvement of each approach have been discussed with examples, and altogether, the review provides comprehensive coverage on the advances in genomics to meet the ever-growing demands for agricultural produce.
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Affiliation(s)
- Roshan Kumar Singh
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Ashish Prasad
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Mehanathan Muthamilarasan
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, 500046, India
| | - Swarup K Parida
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Manoj Prasad
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
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22
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Li K, Zhang T, Narayanamoorthy S, Jin C, Sui Z, Li Z, Li S, Wu K, Liu G, Corke H. Diversity analysis of starch physicochemical properties in 95 proso millet (Panicum miliaceum L.) accessions. Food Chem 2020; 324:126863. [PMID: 32353657 DOI: 10.1016/j.foodchem.2020.126863] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/02/2020] [Accepted: 04/17/2020] [Indexed: 10/24/2022]
Abstract
In this study, 95 accessions of proso millet (Panicum miliaceum L.) were characterized for starch physicochemical properties, including apparent amylose content (AAC), gel textural properties, Rapid Visco Analyzer (RVA) pasting viscosity properties, thermal and retrogradation properties. Based on genotypic data, the genetic diversity and inter-relationship of these starch traits were analyzed. Diverse starch quality was found, for example, AAC ranged from 0 to 32.3%, gelatinization temperature (GT) varied from 71.5 to 79.0 ℃, and RVA profile showed distinct patterns among proso millet of different AAC types. Interestingly, high AAC proso millet usually had GT lower than that of low AAC proso millet, which is different from the findings in rice starch. Many starch traits were significantly correlated and most of the 18 tested traits could be classified as either AAC-related traits or GT-related traits. In summary, the information presented here will be useful for further development of proso millet products.
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Affiliation(s)
- Kehu Li
- Department of Food Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Tongze Zhang
- Shool of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Shwetha Narayanamoorthy
- Department of Food Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Can Jin
- Department of Food Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Zhongquan Sui
- Department of Food Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Zijun Li
- Department of Food Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Shunguo Li
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050035, People's Republic of China
| | - Kao Wu
- Glyn O. Philips Hydrocolloid Research Centre at HUT, Hubei University of Technology, Wuhan 430068, People's Republic of China
| | - Guoqing Liu
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050035, People's Republic of China.
| | - Harold Corke
- Department of Food Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
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23
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Zhang C, Zhou L, Lu Y, Yang Y, Feng L, Hao W, Li Q, Fan X, Zhao D, Liu Q. Changes in the physicochemical properties and starch structures of rice grains upon pre-harvest sprouting. Carbohydr Polym 2020; 234:115893. [DOI: 10.1016/j.carbpol.2020.115893] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 01/15/2020] [Accepted: 01/18/2020] [Indexed: 11/29/2022]
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24
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Zhang A, Gao Y, Li Y, Ruan B, Yang S, Liu C, Zhang B, Jiang H, Fang G, Ding S, Jahan N, Xie L, Dong G, Xu Z, Gao Z, Guo L, Qian Q. Genetic Analysis for Cooking and Eating Quality of Super Rice and Fine Mapping of a Novel Locus qGC10 for Gel Consistency. FRONTIERS IN PLANT SCIENCE 2020; 11:342. [PMID: 32265976 PMCID: PMC7105826 DOI: 10.3389/fpls.2020.00342] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 03/06/2020] [Indexed: 05/27/2023]
Abstract
Rice (Oryza sativa L.) is an important cereal that provides food for more than half of the world's population. Besides grain yield, improving grain quality is also essential to rice breeders. Amylose content (AC), gelatinization temperature (GT) and gel consistency (GC) are considered to be three indicators for cooking and eating quality in rice. Using a genetic map of RILs derived from the super rice Liang-You-Pei-Jiu with high-density SNPs, we detected 3 QTLs for AC, 3 QTLs for GT, and 8 QTLs for GC on chromosomes 3, 4, 5, 6, 10, and 12. Wx locus, an important determinator for AC and GC, resided in one QTL cluster for AC and GC, qAC6 and qGC6 here. And a novel major QTL qGC10 on chromosome 10 was identified in both Lingshui and Hangzhou. With the BC4F2 population derived from a CSSL harboring the segment for qGC10 from 93-11 in PA64s background, it was fine mapped between two molecular markers within 181 kb region with 27 annotated genes. Quantitative real-time PCR results showed that eight genes were differentially expressed in endosperm of two parents. After DNA sequencing, only LOC_Os10g04900, which encodes a F-box domain containing protein, has 2 bp deletion in the exon of PA64s, resulting in a premature stop codon. Therefore, LOC_Os10g04900 is considered to be the most likely candidate gene for qGC10 associated with gel consistency. Identification of qGC10 provides a new genetic resource for improvement of rice quality.
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Affiliation(s)
- Anpeng Zhang
- Rice Research Institute of Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education and Liaoning Province, Shenyang, China
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Yang Gao
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Yuanyuan Li
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Banpu Ruan
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Shenglong Yang
- Rice Research Institute of Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education and Liaoning Province, Shenyang, China
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Chaolei Liu
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Bin Zhang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Hongzhen Jiang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Guonan Fang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Shilin Ding
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Noushin Jahan
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Lihong Xie
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Guojun Dong
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Zhengjin Xu
- Rice Research Institute of Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education and Liaoning Province, Shenyang, China
| | - Zhenyu Gao
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Longbiao Guo
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Qian Qian
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
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25
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Griebel S, Westerman RP, Adeyanju A, Addo-Quaye C, Craig BA, Weil CF, Cunningham SM, Patel B, Campanella OH, Tuinstra MR. Mutations in sorghum SBEIIb and SSIIa affect alkali spreading value, starch composition, thermal properties and flour viscosity. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:3357-3374. [PMID: 31624872 PMCID: PMC6820604 DOI: 10.1007/s00122-019-03430-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 09/17/2019] [Indexed: 05/27/2023]
Abstract
Seven novel alleles of SBEIIb and one allele of SSIIa co-segregated with the ASV phenotype and contributed to distinct starch quality traits important for food-processing applications. Sorghum is an important food crop for millions of people in Africa and Asia. Whole-genome re-sequencing of sorghum EMS mutants exhibiting an alkali spreading value (ASV) phenotype revealed candidate SNPs in Sobic.004G163700 and Sobic.010G093400. Comparative genomics identified Sobic.010G093400 as a starch synthase IIa and Sobic.004G163700 as a starch branching enzyme IIb. Segregation analyses showed that mutations in Sobic.010G093400 or Sobic.004G163700 co-segregated with the ASV phenotype. Mutants in SSIIa exhibited no change in amylose content but expressed lower final viscosity and lower starch gelatinization temperature (GT) than starches from non-mutant plants. The sbeIIb mutants exhibited significantly higher amylose levels and starch GT and lower viscosity compared to non-mutant starches and ssIIa mutants. Mutations in SBEIIb had a dosage-dependent effect on amylose content. Double mutants of sbeIIb and ssIIa resembled their sbeIIb parent in amylose content, starch thermal properties and viscosity profiles. These variants will provide opportunities to produce sorghum varieties with modified starch end-use qualities important for the beer brewing and baking industries and specialty foods for humans with diabetes.
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Affiliation(s)
- Stefanie Griebel
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Richard P Westerman
- College of Agriculture Administration, Purdue University, West Lafayette, IN, 47907, USA
| | - Adedayo Adeyanju
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Charles Addo-Quaye
- Division Natural Sciences and Mathematics, Lewis-Clark State College, Lewiston, ID, 83501, USA
| | - Bruce A Craig
- Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA
| | - Clifford F Weil
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Suzanne M Cunningham
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Bhavesh Patel
- Whistler Carbohydrate Research Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Osvaldo H Campanella
- Whistler Carbohydrate Research Center, Purdue University, West Lafayette, IN, 47907, USA
- Department of Food Science and Technology, The Ohio State University, Columbus, OH, 43210-1007, USA
| | - Mitchell R Tuinstra
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA.
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Park SG, Park HS, Baek MK, Jeong JM, Cho YC, Lee GM, Lee CM, Suh JP, Kim CS, Kim SM. Improving the Glossiness of Cooked Rice, an Important Component of Visual Rice Grain Quality. RICE (NEW YORK, N.Y.) 2019; 12:87. [PMID: 31776807 PMCID: PMC6881499 DOI: 10.1186/s12284-019-0348-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 11/06/2019] [Indexed: 05/05/2023]
Abstract
BACKGROUND Rice is one of the few cereals consumed as a whole grain, and therefore the appearance of the final milled product, both before and after cooking, strongly influences the consumer's perception of product quality. Matching consumer preference for rice grain quality is a key component of rice variety development programs, as the quality drives demand, which in turn drives variety adoption, market price, and profitability. The quality of cooked rice is normally evaluated indirectly, through measurement of key elements driving quality as well as more directly by sensory evaluation, but remains a complex trait conditioned by the genetic complexity of factors driving quality, changes wrought by environment, and the complexity of consumer preferences. RESULT In this study, we evaluated 17 traits, including the taste value obtained by glossiness of cooked rice (TV), to explain rice eating quality by statistical methods and identified QTLs associated with TV. To explain the correlation among traits, exploratory factor analysis was performed for 2 years. The overall eating quality (OE) was correlated with TV and protein content loading at the same factor (PA1) in 2017, and there was a relationship between the OE (PA1) and the TV (PA2) in 2018 (PA1:PA2, r = 0.3). In QTL analysis using 174 RILs, three QTLs for TV derived from Wandoaengmi6 were detected on chromosomes 4, 6, and 9. The QTL qTV9 delimited within Id9007180 and 9,851,330 on chromosome 9 was detected in both years, explaining approximately 17% of the variation, on average. Through the use of fine mapping, qTV9 was delimited to an approximately 34-Kbp segment flanked by the DNA markers CTV9_9 and CTV9_13, and nine ORFs were listed in the target region as candidate genes associated with TV. In the evaluation of qTV9's effect on OE, the lines with qTV9 showed a significant increase in correlation coefficiency compared to the negative lines. These data will apply to functional analysis on the glossiness and the MAS breeding program to improve the eating quality of japonica as a donor line. CONCLUSION In this paper we report a number of QTL associated with changes in glossiness of cooked rice, and these may have utility in the development of MAS in breeding programs with a specific focus on cooked grain quality.
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Affiliation(s)
- Seul-Gi Park
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Hyun-Su Park
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Man-Kee Baek
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Jong-Min Jeong
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Young-Chan Cho
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Gun-Mi Lee
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Chang-Min Lee
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Jung-Pil Suh
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Choon-Song Kim
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
| | - Suk-Man Kim
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
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Yin SY, Kuo SM, Chen YR, Tsai YC, Wu YP, Lin YR. Genetic Variation of Physicochemical Properties and Digestibility of Foxtail Millet ( Setaria italica) Landraces of Taiwan. Molecules 2019; 24:molecules24234323. [PMID: 31779254 PMCID: PMC6930489 DOI: 10.3390/molecules24234323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 11/19/2019] [Accepted: 11/23/2019] [Indexed: 11/16/2022] Open
Abstract
Foxtail millet is considered a 'smart food' because of nutrient richness and resilience to environments. A diversity panel of 92 foxtail millet landraces preserved by Taiwan indigenous peoples containing amylose content (AC) in the range of 0.7% to 16.9% exhibited diverse physiochemical properties revealed by a rapid viscosity analyzer (RVA). AC was significantly correlated with 5 RVA parameters, and some RVA parameters were also highly correlated with one another. In comparison to rice, foxtail millet contained less starch (65.9-73.1%) and no significant difference in totals of resistant starch (RS), slowly digestible starch (SDS), hydrolysis index (HI), and expected glycemic index (eGI) according to in vitro digestibility assays of raw flour with similar AC. RS was significantly positively correlated with AC and four RVA parameters, cold paste viscosity (CPV), setback viscosity (SBV), peak time (PeT), and pasting temperature (PaT), implying that suitable food processing to alter physicochemical properties of foxtail millet might mitigate hyperglycemia. This investigation of pasting properties and digestibility of diverse foxtail millet germplasm revealed much variation and showed potential for multi-dimensional utilizations in daily staple food and food industries.
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Affiliation(s)
- Song-Yu Yin
- Department of Agronomy, National Taiwan University, Taipei 10617, Taiwan; (S.-Y.Y.); (S.-M.K.)
| | - Shu-Meng Kuo
- Department of Agronomy, National Taiwan University, Taipei 10617, Taiwan; (S.-Y.Y.); (S.-M.K.)
| | - Yu-Ru Chen
- Crop Science Division, Taiwan Agricultural Research Institute, Taichung 41362, Taiwan;
| | - Yuan-Ching Tsai
- Department of Agronomy, National Chiayi University, Chiayi 60004, Taiwan;
| | - Yong-Pei Wu
- Department of Agronomy, Chiayi Agricultural Experiment Station, Taiwan Agricultural Research Institute, Chiayi 60044, Taiwan;
| | - Yann-Rong Lin
- Department of Agronomy, National Taiwan University, Taipei 10617, Taiwan; (S.-Y.Y.); (S.-M.K.)
- Correspondence: ; Tel.: +886-2-3366-4763
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Li K, Zhang T, Sui Z, Narayanamoorthy S, Jin C, Li S, Corke H. Genetic variation in starch physicochemical properties of Chinese foxtail millet (Setaria italica Beauv.). Int J Biol Macromol 2019; 133:337-345. [DOI: 10.1016/j.ijbiomac.2019.04.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 04/03/2019] [Accepted: 04/03/2019] [Indexed: 02/04/2023]
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Anacleto R, Badoni S, Parween S, Butardo VM, Misra G, Cuevas RP, Kuhlmann M, Trinidad TP, Mallillin AC, Acuin C, Bird AR, Morell MK, Sreenivasulu N. Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:1261-1275. [PMID: 30549178 PMCID: PMC6575982 DOI: 10.1111/pbi.13051] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 11/15/2018] [Accepted: 11/25/2018] [Indexed: 05/19/2023]
Abstract
Reliably generating rice varieties with low glycaemic index (GI) is an important nutritional intervention given the high rates of Type II diabetes incidences in Asia where rice is staple diet. We integrated a genome-wide association study (GWAS) with a transcriptome-wide association study (TWAS) to determine the genetic basis of the GI in rice. GWAS utilized 305 re-sequenced diverse indica panel comprising ~2.4 million single nucleotide polymorphisms (SNPs) enriched in genic regions. A novel association signal was detected at a synonymous SNP in exon 2 of LOC_Os05g03600 for intermediate-to-high GI phenotypic variation. Another major hotspot region was predicted for contributing intermediate-to-high GI variation, involves 26 genes on chromosome 6 (GI6.1). These set of genes included GBSSI, two hydrolase genes, genes involved in signalling and chromatin modification. The TWAS and methylome sequencing data revealed cis-acting functionally relevant genetic variants with differential methylation patterns in the hot spot GI6.1 region, narrowing the target to 13 genes. Conversely, the promoter region of GBSSI and its alternative splicing allele (G allele of Wxa ) explained the intermediate-to-high GI variation. A SNP (C˃T) at exon-10 was also highlighted in the preceding analyses to influence final viscosity (FV), which is independent of amylose content/GI. The low GI line with GC haplotype confirmed soft texture, while other two low GI lines with GT haplotype were characterized as hard and cohesive. The low GI lines were further confirmed through clinical in vivo studies. Gene regulatory network analysis highlighted the role of the non-starch polysaccharide pathway in lowering GI.
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Affiliation(s)
| | - Saurabh Badoni
- International Rice Research InstituteLos BañosPhilippines
| | - Sabiha Parween
- International Rice Research InstituteLos BañosPhilippines
| | - Vito M. Butardo
- International Rice Research InstituteLos BañosPhilippines
- Department of Chemistry and BiotechnologyFaculty of Science, Engineering and TechnologySwinburne University of TechnologyHawthornVic.Australia
| | - Gopal Misra
- International Rice Research InstituteLos BañosPhilippines
| | | | - Markus Kuhlmann
- The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)GaterslebenGermany
| | | | | | - Cecilia Acuin
- International Rice Research InstituteLos BañosPhilippines
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Zhang H, Zhou L, Xu H, Wang L, Liu H, Zhang C, Li Q, Gu M, Wang C, Liu Q, Zhu Y. The qSAC3 locus from indica rice effectively increases amylose content under a variety of conditions. BMC PLANT BIOLOGY 2019; 19:275. [PMID: 31234778 PMCID: PMC6591921 DOI: 10.1186/s12870-019-1860-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 05/31/2019] [Indexed: 05/26/2023]
Abstract
BACKGROUND Amylose content (AC) is a critical factor for the quality of rice. It is determined by the biosynthesis gene Waxy (Wx) and a variety of quantitative trait loci (QTLs). Although many QTLs have been reported to affect rice AC, few of them have been investigated under varying growth conditions, especially various temperatures, which are known to greatly influence the AC. RESULTS We analyzed the AC at different temperatures and planting seasons in a set of chromosome segment substitution lines (CSSLs) which were derived from a cross between the indica variety 9311 and the japonica variety Nipponbare carrying the same Wxb allele. A joint analysis detected a single locus, qSAC3, with a high logarithm of odds (LOD) score in four different conditions. The qSAC3 from indica 9311 (qSAC3ind) substantially increased the AC in japonica Nipponbare under all tested growth conditions. Furthermore, introducing the qSAC3ind into the soft rice variety Nangeng9108 with Wxmq, a mutant allele of Wxb, also moderately increased its AC and improved its appearance quality significantly by reducing the chalkiness of the polished rice. CONCLUSIONS Our results indicate that the qSAC3ind could increase the AC of japonica rice in different environments as well as in the background of different Wx alleles and that qSAC3 is a valuable locus for fine-tuning the rice AC and ameliorating the dull endosperm in rice varieties with the Wxmq allele.
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Affiliation(s)
- Hua Zhang
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Creative Agriculture, Ministry of Agriculture, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Zhejiang, 310021 Hangzhou China
| | - Lihui Zhou
- Jiangsu High Quality Rice Research and Development Center, Nanjing Branch of China National Center for Rice Improvement, Provincial Key Laboratory of Agrobiology, Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014 Jiangsu China
| | - Heng Xu
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Creative Agriculture, Ministry of Agriculture, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Zhejiang, 310021 Hangzhou China
| | - Liangchao Wang
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Creative Agriculture, Ministry of Agriculture, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Zhejiang, 310021 Hangzhou China
| | - Huijie Liu
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Creative Agriculture, Ministry of Agriculture, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Zhejiang, 310021 Hangzhou China
| | - Changquan Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009 Jiangsu China
| | - Qianfeng Li
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009 Jiangsu China
| | - Minghong Gu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009 Jiangsu China
| | - Cailin Wang
- Jiangsu High Quality Rice Research and Development Center, Nanjing Branch of China National Center for Rice Improvement, Provincial Key Laboratory of Agrobiology, Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014 Jiangsu China
| | - Qiaoquan Liu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009 Jiangsu China
| | - Ying Zhu
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Creative Agriculture, Ministry of Agriculture, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Zhejiang, 310021 Hangzhou China
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Arikit S, Wanchana S, Khanthong S, Saensuk C, Thianthavon T, Vanavichit A, Toojinda T. QTL-seq identifies cooked grain elongation QTLs near soluble starch synthase and starch branching enzymes in rice (Oryza sativa L.). Sci Rep 2019; 9:8328. [PMID: 31171826 PMCID: PMC6554297 DOI: 10.1038/s41598-019-44856-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 05/24/2019] [Indexed: 01/29/2023] Open
Abstract
Grain quality is one of the main targets that rice breeders focus on to improve elite rice varieties. Several characteristics are considered when determine rice grain quality, such as aroma, amylose content (AC), gelatinization temperature (GT) and, especially, lengthwise grain elongation (GE). GE is a desirable feature in premium rice of high quality, such as India and Pakistan’ Basmati. Inheritance of GE in rice has not been clearly elucidated due to its complex and inconsistent pattern. In this study, we identified QTLs for GE in rice using bulk-segregant analysis (BSA) and whole-genome sequencing based on an F2 population segregated for GE as well as AC and GT. We identified two QTLs on chromosome 6, qGE6.1 and qGE6.2, and another QTL on chromosome 4, qGE4.1. qGE6.1 and qGE6.2 were located near starch synthase IIa (SSIIa) and starch branching enzyme III (SBEIII), respectively, and qGE4.1 was located near starch branching enzyme IIa (SBEIIa). qGE6.1 was considered to be the major QTL for GE based on this population, and SSIIa was suggested to be the best candidate gene associated with the GE trait. The results of this study may be useful for breeding rice with increased grain elongation and different starch properties.
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Affiliation(s)
- Siwaret Arikit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand.,Rice Science Center, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand
| | - Samart Wanchana
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand
| | - Srisawat Khanthong
- Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand
| | - Chatree Saensuk
- Rice Science Center, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand
| | - Tripop Thianthavon
- Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand
| | - Apichart Vanavichit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand.,Rice Science Center, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand
| | - Theerayut Toojinda
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand.
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Wang H, Zhu S, Dang X, Liu E, Hu X, Eltahawy MS, Zaid IU, Hong D. Favorable alleles mining for gelatinization temperature, gel consistency and amylose content in Oryza sativa by association mapping. BMC Genet 2019; 20:34. [PMID: 30890139 PMCID: PMC6423859 DOI: 10.1186/s12863-019-0735-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Accepted: 03/01/2019] [Indexed: 11/22/2022] Open
Abstract
Background Improving the gelatinization temperature (GT), gel consistency (GC) and amylose content (AC) for parental grain eating and cooking qualities (ECQs) are key factors for enhancing average grain ECQs for hybrid japonica rice. Results In this study, a genome-wide association mapping (GWAS) for ECQs was performed on a selected sample of 462 rice accessions in 5 environments using 262 simple sequence repeat markers. We identified 10 loci and 27 favorable alleles for GT, GC and AC, and some of these loci were overlapped with starch synthesis-related genes. Four SSR loci for the GT trait were distributed on chromosomes 3, 5, 8, and 9, of which two SSR loci were novel. Two SSR loci associated with the GC trait were distributed on chromosomes 3 and 6, although only one SSR locus was novel. Four SSR loci associated with the AC trait were distributed on chromosomes 3, 6, 10, and 11, of which three SSR loci were novel. The novel loci RM6712 and RM6327 were simultaneously identified in more than 2 environments and were potentially reliable QTLs for ECQs, with 15 parental combinations being predicted. These QTLs and parental combinations should be used in molecular breeding to improve japonica rice average ECQs. Conclusions Among the 10 SSR loci associated with GT, GC and AC for grain ECQs detected in 27 favorable alleles, the favorable allele RM3600-90bp on chromosome 9 could significantly reduce GT, RM5753-115bp on chromosome 6 could significantly increase GC, and RM6327-230bp on chromosome 11 could significantly reduce AC in hybrid japonica rice mixed rice samples. Electronic supplementary material The online version of this article (10.1186/s12863-019-0735-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hui Wang
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Shangshang Zhu
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Xiaojing Dang
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Erbao Liu
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Xiaoxiao Hu
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Moaz Salah Eltahawy
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Imdad Ullah Zaid
- Nanjing Agricultural University, Nanjing, 210095, China.,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Delin Hong
- Nanjing Agricultural University, Nanjing, 210095, China. .,State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
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Chattopadhyay K, Behera L, Bagchi TB, Sardar SS, Moharana N, Patra NR, Chakraborti M, Das A, Marndi BC, Sarkar A, Ngangkham U, Chakraborty K, Bose LK, Sarkar S, Ray S, Sharma S. Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms. Sci Rep 2019; 9:3196. [PMID: 30824776 PMCID: PMC6397320 DOI: 10.1038/s41598-019-39863-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 01/30/2019] [Indexed: 11/10/2022] Open
Abstract
Lack of appropriate donors, non-utilization of high throughput phenotyping and genotyping platforms with high genotype × environment interaction restrained identification of robust QTLs for grain protein content (GPC) in rice. In the present investigation a BC3F4 mapping population was developed using grain protein donor, ARC10075 and high-yielding cultivar Naveen and 190 lines were genotyped using 40 K Affimetrix custom SNP array with the objective to identify stable QTLs for protein content. Three of the identified QTLs, one for GPC (qGPC1.1) and the other two for single grain protein content (qSGPC2.1, qSGPC7.1) were stable over the environments explaining 13%, 14% and 7.8% of the phenotypic variances, respectively. Stability and repeatability of these additive QTLs were supported by the synergistic additive effects of multi-environmental-QTLs. One epistatic-QTL, independent of the main effect QTL was detected over the environment for SGPC. A few functional genes governing seed storage protein were hypothesised inside these identified QTLs. The qGPC1.1 was validated by NIR Spectroscopy-based high throughput phenotyping in BC3F5 population. Higher glutelin content was estimated in high-protein lines with the introgression of qGPC1.1 in telomeric region of short arm of chromosome 1. This was supported by the postulation of probable candidate gene inside this QTL region encoding glutelin family proteins.
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Affiliation(s)
| | | | | | | | | | | | | | - Avijit Das
- ICAR-National Institute of Natural Fibre Engineering and Technology, Kolkata, India
| | | | - Ananta Sarkar
- ICAR- Central Institute for Women in Agriculture, Bhubaneswar, India
| | | | | | | | - Sutapa Sarkar
- ICAR-National Rice Research Institute, Cuttack, India
| | - Soham Ray
- ICAR-Central Research Institute for Jute and Allied Fibres, Barrackpore, India
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Fiaz S, Ahmad S, Noor MA, Wang X, Younas A, Riaz A, Riaz A, Ali F. Applications of the CRISPR/Cas9 System for Rice Grain Quality Improvement: Perspectives and Opportunities. Int J Mol Sci 2019; 20:E888. [PMID: 30791357 PMCID: PMC6412304 DOI: 10.3390/ijms20040888] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 02/07/2019] [Accepted: 02/15/2019] [Indexed: 02/06/2023] Open
Abstract
Grain quality improvement is a key target for rice breeders, along with yield. It is a multigenic trait that is simultaneously influenced by many factors. Over the past few decades, breeding for semi-dwarf cultivars and hybrids has significantly contributed to the attainment of high yield demands but reduced grain quality, which thus needs the attention of researchers. The availability of rice genome sequences has facilitated gene discovery, targeted mutagenesis, and revealed functional aspects of rice grain quality attributes. Some success has been achieved through the application of molecular markers to understand the genetic mechanisms for better rice grain quality; however, researchers have opted for novel strategies. Genomic alteration employing genome editing technologies (GETs) like clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) for reverse genetics has opened new avenues of research in the life sciences, including for rice grain quality improvement. Currently, CRISPR/Cas9 technology is widely used by researchers for genome editing to achieve the desired biological objectives, because of its simple targeting. Over the past few years many genes that are related to various aspects of rice grain quality have been successfully edited via CRISPR/Cas9 technology. Interestingly, studies on functional genomics at larger scales have become possible because of the availability of GETs. In this review, we discuss the progress made in rice by employing the CRISPR/Cas9 editing system and its eminent applications. We also elaborate possible future avenues of research with this system, and our understanding regarding the biological mechanism of rice grain quality improvement.
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Affiliation(s)
- Sajid Fiaz
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
| | - Shakeel Ahmad
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
| | - Mehmood Ali Noor
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing 100081, China.
| | - Xiukang Wang
- College of Life Sciences, Yan'an University, Yan'an 716000, Shaanxi, China.
| | - Afifa Younas
- Department of Botany, Lahore College for Women University, Lahore 54000, Pakistan.
| | - Aamir Riaz
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
| | - Adeel Riaz
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Fahad Ali
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
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Song JM, Arif M, Zhang M, Sze SH, Zhang HB. Phenotypic and molecular dissection of grain quality using the USDA rice mini-core collection. Food Chem 2019; 284:312-322. [PMID: 30744863 DOI: 10.1016/j.foodchem.2019.01.009] [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: 07/16/2018] [Revised: 11/21/2018] [Accepted: 01/03/2019] [Indexed: 12/16/2022]
Abstract
Grain quality is a major breeding objective and paramount to food production. This study was aimed to phenotypically and molecularly dissect the rice grain quality, especially amylose content (AC), grain protein content (GPC) and alkali spreading value (ASV), using the USDA rice mini-core collection representing the world-wide rice germplasm lines. Grain chemical analysis combined with genome-wide association study (GWAS) was used for the study. A wide genetic variation was observed for these grain quality traits in the mini-core collection. Germplasm lines unique in AC, GPC and ASV and desirable for grain quality improvement were identified. The genetic diversity of the collection was re-analyzed using new SNPs, thus providing a more precise genotypic information about the collection. Furthermore, ten loci significantly associated with these grain quality traits were identified through GWAS using 22947 high-quality SNPs. These results, therefore, provide knowledge, resources and molecular tools for efficient rice grain quality improvement.
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Affiliation(s)
- Jian-Min Song
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA; Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, China
| | - Muhammad Arif
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA; Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, P.O. Box 577, Faisalabad, Pakistan
| | - Meiping Zhang
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA.
| | - Sing-Hoi Sze
- Department of Computer Science and Engineering and Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA.
| | - Hong-Bin Zhang
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA.
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Wu K, Gunaratne A, Gan R, Bao J, Corke H, Jiang F. Relationships Between Cooking Properties and Physicochemical Properties in Brown and White Rice. STARCH-STARKE 2018. [DOI: 10.1002/star.201700167] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Kao Wu
- Glyn O. Philips Hydrocolloid Research Centre at HUT, Hubei University of Technology; Wuhan 430068 China
- School of Biological Sciences, The University of Hong Kong; Pokfulam Road Hong Kong China
| | - Anil Gunaratne
- Faculty of Agricultural Sciences, Sabaragamuwa University of Sri Lanka; Belihuloya Sri Lanka
| | - Renyou Gan
- School of Biological Sciences, The University of Hong Kong; Pokfulam Road Hong Kong China
| | - Jinsong Bao
- Institute of Nuclear Agricultural Sciences, Key Laboratory of Chinese Ministry of Agriculture for Nuclear-Agricultural Sciences, Zhejiang University; Huajiachi Campus 310029 China
| | - Harold Corke
- School of Biological Sciences, The University of Hong Kong; Pokfulam Road Hong Kong China
- Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University; Shanghai China
| | - Fatang Jiang
- Glyn O. Philips Hydrocolloid Research Centre at HUT, Hubei University of Technology; Wuhan 430068 China
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Yang B, Xu S, Xu L, You H, Xiang X. Effects of Wx and Its Interaction With SSIII-2 on Rice Eating and Cooking Qualities. FRONTIERS IN PLANT SCIENCE 2018; 9:456. [PMID: 29692791 PMCID: PMC5902675 DOI: 10.3389/fpls.2018.00456] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 03/22/2018] [Indexed: 05/13/2023]
Abstract
The Wx gene encodes a granule-bound starch synthase (GBSS) and plays a key role in determining rice eating and cooking qualities (ECQs). SSIII-2 (SSIIIa), a member of the soluble starch synthases, is responsible for the synthesis of long chains of amylopectin. To investigate the effects of Wx and its interaction with SSIII-2 on grain ECQs, a population from a hybrid combination was established as a research material. The genotypes of SSIII-2 and the single nucleotide polymorphisms (SNPs) on intron1, exon6, and exon10 of Wx, and the physicochemical indicators and rapid visco analyzer (RVA) profile characteristics were analyzed. The results revealed various effects of SSIII-2 on rice quality under different backgrounds of Wx alleles. There was no obvious difference between different SSIII-2 alleles under the same background of Wxa , whereas there was a significant diversity under the same background of Wxb . Wxa had a dominant epistasis to SSIII-2 because the effect of SSIII-2 was masked by the massive synthesis of GBSS under Wxa . The apparent amylose content (AAC) was mainly controlled by the In1G/T SNP, and rice gel consistency (GC) was regulated by the Ex10C/T SNP. The combined effects of three SNPs had a significant influence on all ECQs and RVA profile parameters, except for gelatinization temperature. In1T-Ex6A-Ex10C and In1T-Ex6A-Ex10T were classified as being low AAC type. TT-AA-CC and TT-AA-TT had a low AAC and a soft GC. The combined effects of different SNPs of Wx are very important for rice quality breeding.
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Affiliation(s)
- Bowen Yang
- Laboratory of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China
| | - Shunju Xu
- Laboratory of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China
| | - Liang Xu
- Laboratory of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China
| | - Hui You
- Laboratory of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China
| | - Xunchao Xiang
- Laboratory of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China
- Engineering Research Center for Biomass Resource Utilization and Modification of Sichuan Province, Mianyang, China
- *Correspondence: Xunchao Xiang
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Ponce KS, Ye G, Zhao X. QTL Identification for Cooking and Eating Quality in indica Rice Using Multi-Parent Advanced Generation Intercross (MAGIC) Population. FRONTIERS IN PLANT SCIENCE 2018; 9:868. [PMID: 30042770 PMCID: PMC6048290 DOI: 10.3389/fpls.2018.00868] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 06/04/2018] [Indexed: 05/17/2023]
Abstract
Association mapping using a multi-parent advanced generation intercross (MAGIC) population provides a promising tool in genetic dissection of rice cooking and eating quality (CEQ). In this study, QTLs were identified for ten physicochemical properties related to CEQ using 508 F6 MAGIC lines. The whole population and eight founder lines were genotyped with 6K Illumina Infinium HD Assay. All traits had high heritability estimates and showed a large genetic variation in the MAGIC population. Highly significant phenotypic correlations were present between traits. AC was significantly positively correlated with PKT, TV, FV, SBV, PKT, and RT but significantly negatively correlated with GC and BDV. Seventeen QTLs were identified for all traits. GBSSI locus was hosted or closely to nine QTLs, qAC6, qGC6.1, qPKT6.1, qPKV6, qBDV6.1, qTV6.1, qFV6, qSBV6, and qRT6, suggesting that GBSSI impacts the overall CEQ. Another locus closed to SSIIa, located at 6.99 Mb, affects five traits, GC, PKT, BDV, SBV, and PT. The identified QTLs revealed small to modest effects where the highest percentage of phenotypic variance explained was 17.18%. These QTLs are directly relevant and useful in breeding for CEQ in indica rice. These results also confirmed that QTL mapping via association mapping using a MAGIC population is a powerful method in genetic analysis of complex traits.
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Affiliation(s)
- Kimberly S. Ponce
- Rice Breeding Platform, International Rice Research Institute, Los Baños, Philippines
| | - Guoyou Ye
- Rice Breeding Platform, International Rice Research Institute, Los Baños, Philippines
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute, Shenzhen, China
| | - Xiangqian Zhao
- Institute of Crop Science and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Science, Hangzhou, China
- *Correspondence: Xiangqian Zhao,
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Wang X, Pang Y, Zhang J, Wu Z, Chen K, Ali J, Ye G, Xu J, Li Z. Genome-wide and gene-based association mapping for rice eating and cooking characteristics and protein content. Sci Rep 2017; 7:17203. [PMID: 29222496 PMCID: PMC5722854 DOI: 10.1038/s41598-017-17347-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 11/19/2017] [Indexed: 01/12/2023] Open
Abstract
Rice eating and cooking quality and protein content (PC) are important properties affecting consumers' preferences, nutrition and health. Linkage QTL mapping and association studies are usually applied to genetically dissect related traits, which could be further facilitated by high density SNP markers and gene annotation based on reference genome to rapid identify candidate genes associated with interested traits. Here, we carried out an association study for apparent amylose content (AC), gel consistency (GC), gelatinization temperature (GT) and PC evaluated in two environments using a diverse panel of 258 accessions from 3 K Rice Genome Project. Wide phenotypic variations were observed in this panel. Genome-wide association study using 22,488 high quality SNPs identified 19 QTL affecting the four traits. Combining gene-based association study and haplotype analyses plus functional annotation allowed us to shortlist nine candidate genes for four important QTL regions affecting AC, GC and GT, including two cloned genes (Wx and ALK), and seven novels. The research suggested that GWAS and gene-based association analysis followed by haplotype analysis is an effective way to detect candidate genes. The identified genes and QTL provided valuable sources for future functional characterization and genetic improvement of rice eating and cooking quality and PC.
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Affiliation(s)
- Xiaoqian Wang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunlong Pang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Taian, 271018, China
| | - Jian Zhang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhichao Wu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Kai Chen
- Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Jauhar Ali
- International Rice Research Institute, DAPO Box 777, Metro Manila, Philippines
| | - Guoyou Ye
- International Rice Research Institute, DAPO Box 777, Metro Manila, Philippines
| | - Jianlong Xu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
- Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
- Shenzhen Institute of Breeding and Innovation, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
| | - Zhikang Li
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
- Shenzhen Institute of Breeding and Innovation, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
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Identification of putative markers linked to grain plumpness in rice (Oryza sativa L.) via association mapping. BMC Genet 2017; 18:89. [PMID: 29025391 PMCID: PMC5639755 DOI: 10.1186/s12863-017-0559-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 10/04/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Poor grain plumpness (GP) is one of the main constraints to reaching the yield potential of hybrid rice. RESULTS In this study, the GP of 177 rice varieties was investigated in three locations across 2 years. By combining the genotype data of 261 simple sequence repeat (SSR) markers, association mapping was conducted to identify the marker-GP association loci. Among 31 marker-GP association loci detected in two or more environments and determined using general linear model (GLM) analyses, seven association loci were also detected using mixed linear model (MLM) analyses. The seven common loci detected by the two analytical methods were located on chromosomes 2, 3 (2), 7, 8 and 12 (2) and explained 7.24~22.28% of the variance. Of these 7 association loci, five markers linked to GP were newly detected: RM5340 on Chr2, RM5480 and RM148 on Chr3, RM1235 on Chr8, and RM5479 on Chr12. CONCLUSIONS Five marker-GP association loci were newly detected using both the GLM and MLM analytical methods. Elite allele RM505-170 bp had the highest average phenotypic effect on increasing the GP, and the typical carrier variety was 'Maozitou'. Based on the distribution of the elite alleles among the carrier varieties, the top 10 parental combinations for improving the GP in rice via cross-breeding were predicted.
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Li K, Bao J, Corke H, Sun M. Association Analysis of Markers Derived from Starch Biosynthesis Related Genes with Starch Physicochemical Properties in the USDA Rice Mini-Core Collection. FRONTIERS IN PLANT SCIENCE 2017; 8:424. [PMID: 28421086 PMCID: PMC5376596 DOI: 10.3389/fpls.2017.00424] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 03/13/2017] [Indexed: 05/05/2023]
Abstract
Rice eating and cooking quality is largely determined by starch physicochemical properties. The diverse accessions in the USDA rice mini-core collection (URMC) facilitate extensive association analysis of starch physicochemical properties with molecular markers specific to starch biosynthesis related genes. To identify significant trait-marker associations that can be utilized in rice breeding programs for improved starch quality, we conducted two association analyses between 26 molecular markers derived from starch biosynthesis related genes and 18 parameters measured of starch physicochemical properties in two sets of the mini-core accessions successfully grown in two environments in China. Many significant trait-marker associations (P < 0.001) were detected in both association analyses. Five markers of Waxy gene, including the (CT)n repeats, the G/T SNP of intron 1, the 23 bp sequence duplication (InDel) of exon 2, the A/C SNP of exon 6, and the C/T SNP of exon 10, were found to be primarily associated with starch traits related to apparent amylose content (AAC), and two markers targeting the 4,329-4,330 bp GC/TT SNPs and 4,198 bp G/A SNP of SSIIa gene were mainly associated with traits related to gelatinization temperature (GT). Two new haplotypes were found in the mini-core collection based on the combinations of the 23 bp InDel and three SNPs (G/T of intron 1, A/C of exon 6, and C/T of exon 10) of Waxy gene. Furthermore, our analyses indicated that the (CT)n polymorphisms of Waxy gene had a non-negligible effect on AAC related traits, as evidenced by significant variation in AAC related traits among rice accessions with the same Waxy SNPs but different (CT) n repeats. As the five Waxy markers and the two SSIIa markers showed consistent major effects on starch quality traits across studies, these markers should have priority for utilization in marker-assisted breeding.
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Affiliation(s)
- Kehu Li
- School of Biological Sciences, University of Hong KongHong Kong, China
| | - Jinsong Bao
- Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang UniversityHangzhou, China
| | - Harold Corke
- School of Biological Sciences, University of Hong KongHong Kong, China
- Department of Food Science and Engineering, Shanghai Jiao Tong UniversityShanghai, China
| | - Mei Sun
- School of Biological Sciences, University of Hong KongHong Kong, China
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Genotypic diversity and environmental stability of starch physicochemical properties in the USDA rice mini-core collection. Food Chem 2017; 221:1186-1196. [DOI: 10.1016/j.foodchem.2016.11.040] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 11/03/2016] [Accepted: 11/07/2016] [Indexed: 01/28/2023]
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Pang Y, Ali J, Wang X, Franje NJ, Revilleza JE, Xu J, Li Z. Relationship of Rice Grain Amylose, Gelatinization Temperature and Pasting Properties for Breeding Better Eating and Cooking Quality of Rice Varieties. PLoS One 2016; 11:e0168483. [PMID: 27992591 PMCID: PMC5167365 DOI: 10.1371/journal.pone.0168483] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 11/30/2016] [Indexed: 11/18/2022] Open
Abstract
A total of 787 non-waxy rice lines– 116 hybrids and 671 inbreds–were used to study the apparent amylose content (AAC), gelatinization temperature (GT), and rapid visco analyzer (RVA) pasting viscosity properties of rice starch to understand their importance in breeding better rice varieties. The investigated traits showed a wide range of diversity for both hybrid (HG) and inbred (IG) groups. The combinations of the different categories of AAC and GT were random in HG but were non-random in IG. For inbred lines, the high level of AAC tended to combine with the low level of GT, the intermediate level of AAC tended to have high or intermediate GT, and the low level of AAC tended to have high or low GT. Some stable correlations of the AAC, GT, and RVA properties may be the results derived from the physicochemical relationships among these traits, which rice breeders could utilize for selection in advanced breeding generations. Through cluster analysis, IG and HG were divided into 52 and 31 sub-clusters, respectively. Identifying the cultivars having AAC, GT, and RVA properties similar to that of popular high-quality rice varieties seems to be an interesting strategy and could be directly used for adaptation trials to breed high-quality rice varieties in targeted areas in a more customized manner.
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Affiliation(s)
- Yunlong Pang
- Institute of Crop Science/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
- International Rice Research Institute, Metro Manila, Philippines
| | - Jauhar Ali
- International Rice Research Institute, Metro Manila, Philippines
- * E-mail:
| | - Xiaoqian Wang
- Institute of Crop Science/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
- International Rice Research Institute, Metro Manila, Philippines
| | | | | | - Jianlong Xu
- Institute of Crop Science/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhikang Li
- Institute of Crop Science/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
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44
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Yun YT, Chung CT, Lee YJ, Na HJ, Lee JC, Lee SG, Lee KW, Yoon YH, Kang JW, Lee HS, Lee JY, Ahn SN. QTL Mapping of Grain Quality Traits Using Introgression Lines Carrying Oryza rufipogon Chromosome Segments in Japonica Rice. RICE (NEW YORK, N.Y.) 2016; 9:62. [PMID: 27882529 PMCID: PMC5121107 DOI: 10.1186/s12284-016-0135-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 11/16/2016] [Indexed: 05/05/2023]
Abstract
BACKGROUND Improved eating quality is a major breeding target in japonica rice due to market demand. Consequently, quantitative trait loci (QTL) for glossiness of cooked rice and amylose content associated with eating quality have received much research focus because of their importance in rice quality. RESULTS In this study, QTL associated with 12 grain quality traits were identified using 96 introgression lines (IL) of rice developed from an interspecific cross between the Korean elite O. sativa japonica cultivar 'Hwaseong' and O. rufipogon over 7 years. QTL analyses indicated that QTL qDTH6 for heading date, detected on chromosome 6 is associated with variance in grain traits. Most QTLs detected in this study clustered near the qDTH6 locus on chromosome 6, suggesting the effect of qDTH6. O. rufipogon alleles negatively affected grain quality traits except for a few QTLs, including qGCR9 for glossiness of cooked rice on chromosome 9. To characterize the effect of the O. rufipogon locus harboring qGCR9, four lines with a single but different O. rufipogon segment near qGCR9 were compared to Hwaseong. Three lines (O. rufipopgon ILs) having O. rufipogon segment between RM242 and RM245 in common showed higher glossiness of cooked rice than Hwaseong and the other line (Hwaseong IL), indicating that qGCR9 is located in the 3.4-Mb region between RM242 and RM245. Higher glossiness of cooked rice conferred by the O. rufipogon allele might be associated with protein content considering that three lines had lower protein content than Hwaseong (P < 0.1). These three O. rufipogon ILs showed higher yield than Hwaseong and Hwaseong IL due to increase in spikelets per panicle and grain weight indicating the linkage of qGCR9 and yield component QTLs. CONCLUSION The qGCR9 locus is of particular interest because of its independence from other undesirable grain quality traits in O. rufipogon. SSR markers linked to qGCR9 can be used to develop high-quality japonica lines and offer a starting point for map-based cloning of genes underlying this trait. To our knowledge, this is the first report to map a beneficial QTL for glossiness of cooked rice from a wild rice, O. rufipogon.
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Affiliation(s)
- Yeo-Tae Yun
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Chong-Tae Chung
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Young-Ju Lee
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Han-Jung Na
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Jae-Chul Lee
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Sun-Gye Lee
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Kwang-Won Lee
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Young-Hwan Yoon
- Chungcheongnamdo Agricultural Research and Extension Services, Yesan, 340-861, Korea
| | - Ju-Won Kang
- College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764, Korea
- Department of Southern Area Crop Science, National Institute of Crop Science, Milyang, 50424, Korea
| | - Hyun-Sook Lee
- College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764, Korea
| | - Jong-Yeol Lee
- National Academy of Agricultural Sciences, Rural Development Admin., Jeonju, 560-500, Korea
| | - Sang-Nag Ahn
- College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764, Korea.
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Zhang M, Wei F, Guo K, Hu Z, Li Y, Xie G, Wang Y, Cai X, Peng L, Wang L. A Novel FC116/ BC10 Mutation Distinctively Causes Alteration in the Expression of the Genes for Cell Wall Polymer Synthesis in Rice. FRONTIERS IN PLANT SCIENCE 2016; 7:1366. [PMID: 27708650 PMCID: PMC5030303 DOI: 10.3389/fpls.2016.01366] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 08/29/2016] [Indexed: 05/11/2023]
Abstract
We report isolation and characterization of a fragile culm mutant fc116 that displays reduced mechanical strength caused by decreased cellulose content and altered cell wall structure in rice. Map-based cloning revealed that fc116 was a base substitution mutant (G to A) in a putative beta-1,6-N-acetylglucosaminyltransferase (C2GnT) gene (LOC_Os05g07790, allelic to BC10). This mutation resulted in one amino acid missing within a newly-identified protein motif "R, RXG, RA." The FC116/BC10 gene was lowly but ubiquitously expressed in the all tissues examined across the whole life cycle of rice, and slightly down-regulated during secondary growth. This mutant also exhibited a significant increase in the content of hemicelluloses and lignins, as well as the content of pentoses (xylose and arabinose). But the content of hexoses (glucose, mannose, and galactose) was decreased in both cellulosic and non-cellulosic (pectins and hemicelluloses) fractions of the mutant. Transcriptomic analysis indicated that the typical genes in the fc116 mutant were up-regulated corresponding to xylan biosynthesis, as well as lignin biosynthesis including p-hydroxyphenyl (H), syringyl (S), and guaiacyl (G). Our results indicate that FC116 has universal function in regulation of the cell wall polymers in rice.
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Affiliation(s)
- Mingliang Zhang
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Feng Wei
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Kai Guo
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Life Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Zhen Hu
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Yuyang Li
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Guosheng Xie
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Yanting Wang
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Xiwen Cai
- Department of Plant Science, North Dakota State UniversityFargo, ND, USA
| | - Liangcai Peng
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
| | - Lingqiang Wang
- Biomass and Bioenergy Research Centre, Huazhong Agricultural UniversityWuhan, China
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhan, China
- College of Plant Science and Technology, Huazhong Agricultural UniversityWuhan, China
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46
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Xu F, Bao J, He Q, Park YJ. Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.). BMC Genomics 2016; 17:663. [PMID: 27544770 PMCID: PMC4992570 DOI: 10.1186/s12864-016-3000-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Accepted: 08/05/2016] [Indexed: 11/21/2022] Open
Abstract
Background Starch and protein are two major components of polished rice, and the amylose and protein contents affect eating and cooking qualities (ECQs). In the present study, genome-wide association study with high-quality re-sequencing data was performed for 10 ECQs in a panel of 227 non-glutinous rice accessions and four derived panels. Results Population structure accounted for high phenotypic variation in three routine panels and had minor effects on subspecies-based panels. Using the mixed linear model method based on the P + K model, we detected 29, 24, 16, 17, and 29 loci that were significant for ECQ parameters in each of the five panels. Some of these loci were close to starch synthesis-related genes. Two quantitative trait loci (QTLs) (chr.9: 15417525 ~ 15474876; 17538294 ~ 18443016) for several starch paste viscosity properties detected in four panels were close to the isoamylase 3 gene, one QTL (chr.1: 30627943 ~ 31668474) for consistency detected in three panels was close to the starch synthase IV-1 gene. The QTL (chr.7: 1118122 ~ 1967247) for breakdown (BD), detected in the whole panel and japonica panel, and one QTL (chr.7: 25312126 ~ 26540950) for BD and setback (SB), detected in the whole panel and indica panel, may be specific gene alleles in japonica or indica panels. One previously detected QTL (chr.11: 22240707 ~ 22563596) for protein content and one new QTL (chr.5: 7756614 ~ 8042699) for many ECQ traits detected in more than two panels, may represent valuable targets for future cloning of the underlying genes. Conclusions This study detected minor-effect QTLs affecting ECQs, and may increase our understanding of the genetic differences regulating the formation of ECQ between indica and japonica varieties. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3000-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Feifei Xu
- Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan, 32439, Republic of Korea.,Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Huajiachi Campus, Hangzhou, 310029, China
| | - Jinsong Bao
- Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan, 32439, Republic of Korea.,Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Huajiachi Campus, Hangzhou, 310029, China
| | - Qiang He
- Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan, 32439, Republic of Korea
| | - Yong-Jin Park
- Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan, 32439, Republic of Korea. .,Center for crop genetic resource and breeding (CCGRB), Kongju National University, Cheonan, 31080, Republic of Korea.
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47
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Cozzolino D. The use of the rapid visco analyser (RVA) in breeding and selection of cereals. J Cereal Sci 2016. [DOI: 10.1016/j.jcs.2016.07.003] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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48
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Li X, Yan W, Agrama H, Jackson A, Jia M, Jia L, Moldenhauer K, Correa F, Wu D. Genetic analysis of genetic basis of a physiological disorder “straighthead” in rice (Oryza sativa L.). Genes Genomics 2016. [DOI: 10.1007/s13258-016-0394-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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49
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Qian Q, Guo L, Smith SM, Li J. Breeding high-yield superior quality hybrid super rice by rational design. Natl Sci Rev 2016. [DOI: 10.1093/nsr/nww006] [Citation(s) in RCA: 124] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Abstract
The challenge of meeting the increasing demand for worldwide rice production has driven a sustained quest for advances in rice breeding for yield. Two breakthroughs that led to quantum leaps in productivity last century were the introduction of semidwarf varieties and of hybrid rice. Subsequent gains in yield have been incremental. The next major leap in rice breeding is now upon us through the application of rational design to create defined ideotypes. The exploitation of wide-cross compatibility and intersubspecific heterosis, combined with rapid genome sequencing and the molecular identification of genes for major yield and quality traits have now unlocked the potential for rational design.
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Affiliation(s)
- Qian Qian
- State Key Laboratory for Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Longbiao Guo
- State Key Laboratory for Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Steven M. Smith
- School of Biological Sciences, University of Tasmania, Hobart, 7001, Australia
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiayang Li
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
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50
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Bryant RJ, M. Yeater K, McClung AM. Effect of Nitrogen Rate and the Environment on Physicochemical Properties of Selected High-Amylose Rice Cultivars. Cereal Chem 2015. [DOI: 10.1094/cchem-02-15-0035-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Rolfe J. Bryant
- Retired from U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Dale Bumpers National Rice Research Center, Stuttgart, AR 72160, U.S.A. Mention of a trademark or proprietary product in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA
| | | | - Anna M. McClung
- USDA, ARS, Dale Bumpers National Rice Research Center, 2890 Hwy 130 E., Stuttgart, AR 72160, U.S.A
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