Genetic dissection of amino acid content in rice grain
BACKGROUND: Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the mapping of quantitative trait loci (QTLs) for the contents of protein and amino acids in rice grain and other crops (soybean, corn)....
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Published in | Journal of the science of food and agriculture Vol. 89; no. 14; pp. 2377 - 2382 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Chichester, UK
John Wiley '' Sons, Ltd
01.11.2009
John Wiley & Sons, Ltd Wiley John Wiley and Sons, Limited |
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Abstract | BACKGROUND: Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the mapping of quantitative trait loci (QTLs) for the contents of protein and amino acids in rice grain and other crops (soybean, corn). In this study a population of 241 recombinant inbred lines (RILs) from a cross between Zhenshan 97 and Minghui 63 (the parents of the most widely grown hybrid rice in China) was constructed to detect the main effect and epistatic effect QTLs for amino acid content (AAC) as characterised by individual AACs, total essential AAC and total AAC.RESULTS: Using a linkage map covering a total of 1796 centimorgan (cM) based on 221 molecular marker loci, a total of 12 QTLs were identified for ten traits mapped on chromosomes 1, 4, 6, 7 and 11. The QTL cluster (flanked by C904, R2632 and C39) on chromosome 1 was associated with the content of eight amino acids. The phenotypic variation explained by individual QTLs ranged from 3.4 to 48.8%. Eighty-one digenic interactions were resolved that involved 143 loci distributed on all 12 chromosomes. The amount of variation explained by main effect QTLs was lower than that explained by QTLs involved in epistatic interactions.CONCLUSION: The findings showed that most main effect QTLs for AACs detected tended to be co-localised within the genome. Thus, if a breeder were interested in changing the concentration of only one amino acid, this might be difficult to achieve. Meanwhile, the prevalent epistasis for the loci involved appeared to hold true for the content of amino acids. The information reported in the present study is expected to be useful for future breeding programmes targeting the development of improved rice amino acid composition for human nutrition. |
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AbstractList | BACKGROUND:
Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the mapping of quantitative trait loci (QTLs) for the contents of protein and amino acids in rice grain and other crops (soybean, corn). In this study a population of 241 recombinant inbred lines (RILs) from a cross between
Zhenshan 97
and
Minghui 63
(the parents of the most widely grown hybrid rice in China) was constructed to detect the main effect and epistatic effect QTLs for amino acid content (AAC) as characterised by individual AACs, total essential AAC and total AAC.
RESULTS:
Using a linkage map covering a total of 1796 centimorgan (cM) based on 221 molecular marker loci, a total of 12 QTLs were identified for ten traits mapped on chromosomes 1, 4, 6, 7 and 11. The QTL cluster (flanked by C904, R2632 and C39) on chromosome 1 was associated with the content of eight amino acids. The phenotypic variation explained by individual QTLs ranged from 3.4 to 48.8%. Eighty‐one digenic interactions were resolved that involved 143 loci distributed on all 12 chromosomes. The amount of variation explained by main effect QTLs was lower than that explained by QTLs involved in epistatic interactions.
CONCLUSION:
The findings showed that most main effect QTLs for AACs detected tended to be co‐localised within the genome. Thus, if a breeder were interested in changing the concentration of only one amino acid, this might be difficult to achieve. Meanwhile, the prevalent epistasis for the loci involved appeared to hold true for the content of amino acids. The information reported in the present study is expected to be useful for future breeding programmes targeting the development of improved rice amino acid composition for human nutrition. Copyright © 2009 Society of Chemical Industry BACKGROUND: Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the mapping of quantitative trait loci (QTLs) for the contents of protein and amino acids in rice grain and other crops (soybean, corn). In this study a population of 241 recombinant inbred lines (RILs) from a cross between Zhenshan 97 and Minghui 63 (the parents of the most widely grown hybrid rice in China) was constructed to detect the main effect and epistatic effect QTLs for amino acid content (AAC) as characterised by individual AACs, total essential AAC and total AAC.RESULTS: Using a linkage map covering a total of 1796 centimorgan (cM) based on 221 molecular marker loci, a total of 12 QTLs were identified for ten traits mapped on chromosomes 1, 4, 6, 7 and 11. The QTL cluster (flanked by C904, R2632 and C39) on chromosome 1 was associated with the content of eight amino acids. The phenotypic variation explained by individual QTLs ranged from 3.4 to 48.8%. Eighty-one digenic interactions were resolved that involved 143 loci distributed on all 12 chromosomes. The amount of variation explained by main effect QTLs was lower than that explained by QTLs involved in epistatic interactions.CONCLUSION: The findings showed that most main effect QTLs for AACs detected tended to be co-localised within the genome. Thus, if a breeder were interested in changing the concentration of only one amino acid, this might be difficult to achieve. Meanwhile, the prevalent epistasis for the loci involved appeared to hold true for the content of amino acids. The information reported in the present study is expected to be useful for future breeding programmes targeting the development of improved rice amino acid composition for human nutrition. Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the mapping of quantitative trait loci (QTLs) for the contents of protein and amino acids in rice grain and other crops (soybean, corn). In this study a population of 241 recombinant inbred lines (RILs) from a cross between Zhenshan 97 and Minghui 63 (the parents of the most widely grown hybrid rice in China) was constructed to detect the main effect and epistatic effect QTLs for amino acid content (AAC) as characterised by individual AACs, total essential AAC and total AAC. Using a linkage map covering a total of 1796 centimorgan (cM) based on 221 molecular marker loci, a total of 12 QTLs were identified for ten traits mapped on chromosomes 1, 4, 6, 7 and 11. The QTL cluster (flanked by C904, R2632 and C39) on chromosome 1 was associated with the content of eight amino acids. The phenotypic variation explained by individual QTLs ranged from 3.4 to 48.8%. Eighty-one digenic interactions were resolved that involved 143 loci distributed on all 12 chromosomes. The amount of variation explained by main effect QTLs was lower than that explained by QTLs involved in epistatic interactions. The findings showed that most main effect QTLs for AACs detected tended to be co-localised within the genome. Thus, if a breeder were interested in changing the concentration of only one amino acid, this might be difficult to achieve. Meanwhile, the prevalent epistasis for the loci involved appeared to hold true for the content of amino acids. The information reported in the present study is expected to be useful for future breeding programmes targeting the development of improved rice amino acid composition for human nutrition. BACKGROUND: Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the mapping of quantitative trait loci (QTLs) for the contents of protein and amino acids in rice grain and other crops (soybean, corn). In this study a population of 241 recombinant inbred lines (RILs) from a cross between Zhenshan 97 and Minghui 63 (the parents of the most widely grown hybrid rice in China) was constructed to detect the main effect and epistatic effect QTLs for amino acid content (AAC) as characterised by individual AACs, total essential AAC and total AAC. RESULTS: Using a linkage map covering a total of 1796 centimorgan (cM) based on 221 molecular marker loci, a total of 12 QTLs were identified for ten traits mapped on chromosomes 1, 4, 6, 7 and 11. The QTL cluster (flanked by C904, R2632 and C39) on chromosome 1 was associated with the content of eight amino acids. The phenotypic variation explained by individual QTLs ranged from 3.4 to 48.8%. Eighty‐one digenic interactions were resolved that involved 143 loci distributed on all 12 chromosomes. The amount of variation explained by main effect QTLs was lower than that explained by QTLs involved in epistatic interactions. CONCLUSION: The findings showed that most main effect QTLs for AACs detected tended to be co‐localised within the genome. Thus, if a breeder were interested in changing the concentration of only one amino acid, this might be difficult to achieve. Meanwhile, the prevalent epistasis for the loci involved appeared to hold true for the content of amino acids. The information reported in the present study is expected to be useful for future breeding programmes targeting the development of improved rice amino acid composition for human nutrition. Copyright © 2009 Society of Chemical Industry |
Author | Mou, Tongmin Hu, Zhongli Zhang, Zhihong Li, Lanzhi Lu, Kaiyang Zheng, Xingfei |
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Cites_doi | 10.1007/s11032-007-9141-7 10.1007/s11103-004-7507-3 10.1023/B:EUPH.0000009539.38916.32 10.1007/s12041-008-0049-8 10.1021/jf0009246 10.1016/S0378-4290(02)00006-0 10.2135/cropsci1999.0011183X003900030035x 10.1016/S1360-1385(03)00107-9 10.1007/s007260170043 10.1093/genetics/158.4.1755 10.1177/15648265050264S311 10.1007/BF00223767 10.1046/j.1467-7652.2003.00017.x 10.1007/s00122-005-0161-6 10.1007/s001220100665 10.1007/s00122-002-0952-y 10.1007/s001220051331 |
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Keywords | amino acid content Monocotyledones Nutritive value Quantitative trait loci Oryza sativa rice (Oryza sativa L.) QTL (quantitative trait locus) Gramineae Angiospermae Cereal Spermatophyta nutritional quality Rice |
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References | Shi CH, Xue JM, Yu YG, Yang XE and Zhu J, Analysis of genetic effects for nutrient quality traits in indica rice. Theor Appl Genet 92: 1092-1102 (1996). Goldenman IL, Rocheford TR and Dudley JW, Quantitative trait loci influencing protein and starch concentration in the Illinios long term selection maize strains. Theor Appl Genet 87: 217-224 (1993). Wang LQ, Zhong M, Li XH, Yuan DJ, Xu YB, Liu HF, et al, The QTL controlling amino acid content in grains of rice (Oryza sativa) are co-localized with the regions involved in the amino acid metabolism pathway. Mol Breed 21: 127-137 (2008). Gao YF, Jing YX, Shen SH, Tian SP, Kuang TY and Sun SM, Transfer of lysine-rich protein gene into rice and production of fertile transgenic plants. Acta Bot Sinica 43: 506-511 (2001). Panthee DR, Pantalone VR, Sams CE, Saxton AM, West DR, Orf JH, et al, Quantitative trait loci controlling sulfur containing amino acids, methionine and cysteine, in soybean seeds. Theor Appl Genet 116: 546-553 (2006). Tan YF, Sun M, Xing YZ, Hua JP, Sun XL, Zhang QF, et al, Mapping quantitative trait loci for milling quality, protein content and color characteristics of rice using a recombinant inbred line population derived from an elite rice hybrid. Theor Appl Genet 103: 1037-1045 (2001). Wang DL, Zhu J, Li L and Paterson AH, Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet 99: 1255-1264 (1999). Hu ZL, Li P, Zhou MQ, Zhang ZH, Wang LX, Zhu LH, et al, Mapping of quantitative trait loci (QTLs) for rice protein and fat content using doubled haploid lines. Euphytica 135: 47-54 (2004). Lu KY, Li LZ, Zheng XF, Zhang ZH, Mou TM and Hu ZL, Quantitative trait loci controlling Cu, Ca, Zn, Mn and Fe content in rice grains. J Genet 87: 305-310 (2008). Yu J, Peng P, Zhang X, Zhao Q, Zhu D, Sun X, et al, Seed-specific expression of the lysine-rich protein gene sb401 significantly increases both lysine and total protein content in maize seeds. Food Nutr Bull 26: 427-431 (2005). Shenoy VV, Seshu DV and Sachan JKS, Inheritance of protein per grain in rice. Indian J Genet 51: 214-220 (1991). Azevedo RA and Lea PJ, Lysine metabolism in higher plants. Amino Acids 20: 261-279 (2001). Wu XR, Chen ZH and Folk WR, Enrichment of cereal protein lysine content by altered tRNAlys coding during protein synthesis. Plant Biotechnol J 1: 187-194 (2003). Luo LJ, Li ZK, Mei HW, Shu QY, Tabien R, Zhong DB, et al, Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. II. Grain yield components. Genetics 158: 1755-1771 (2001). Xing YZ, Tan YF, Hua JP, Sun JP, Xu CG and Zhang QF, Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor Appl Genet 105: 248-257 (2002). Friedman M and Brandon DL, Nutritional and health benefits of soy proteins. J Agric Food Chem 49: 1069-1086 (2001). McCouch SR, Cho YG and Yano M, Report on QTL nomenclature. Rice Genet Newslett 14: 11-13 (1997). Krishnan HB, Characterization of high-lysine mutants of rice. Crop Sci 39: 825-831 (1999). Duan M and Sun SSM, Profiling the expression of genes controlling rice grain quality. Plant Mol Biol 59: 165-178 (2005). Hesse H and Höfgen R, Molecular aspects of methionine biosynthesis. Trends Plant Sci 8: 259-262 (2003). Wu JG, Shi CH and Zhang XM, Estimating the amino acid composition in milled rice by near-infrared reflectance spectroscopy. Field Crops Res 75: 1-7 (2002). Maclean JL, Dawe DC, Hardy B, Hettel GP, eds. Rice almanac. 3rd edn. CABI Publishing: Wallingford, Oxon, pp. 6-7 (2002). 2004; 135 2002; 75 1999; 39 1993; 87 1997; 14 2003; 8 1991; 51 1999; 99 2002; 105 2008; 21 2008; 87 2001; 49 1996; 92 2002 2003; 1 2005; 59 2006; 116 2005; 26 2001; 103 2001; 158 2001; 20 2001; 43 Shenoy VV (e_1_2_6_4_2) 1991; 51 e_1_2_6_20_2 McCouch SR (e_1_2_6_21_2) 1997; 14 Gao YF (e_1_2_6_13_2) 2001; 43 e_1_2_6_8_2 e_1_2_6_7_2 e_1_2_6_18_2 e_1_2_6_9_2 e_1_2_6_19_2 e_1_2_6_3_2 e_1_2_6_6_2 Goldenman IL (e_1_2_6_16_2) 1993; 87 e_1_2_6_12_2 Shi CH (e_1_2_6_5_2) 1996; 92 e_1_2_6_23_2 e_1_2_6_10_2 e_1_2_6_22_2 e_1_2_6_11_2 e_1_2_6_17_2 e_1_2_6_14_2 Maclean JL (e_1_2_6_2_2) 2002 e_1_2_6_15_2 |
References_xml | – reference: Luo LJ, Li ZK, Mei HW, Shu QY, Tabien R, Zhong DB, et al, Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. II. Grain yield components. Genetics 158: 1755-1771 (2001). – reference: Krishnan HB, Characterization of high-lysine mutants of rice. Crop Sci 39: 825-831 (1999). – reference: Xing YZ, Tan YF, Hua JP, Sun JP, Xu CG and Zhang QF, Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor Appl Genet 105: 248-257 (2002). – reference: Lu KY, Li LZ, Zheng XF, Zhang ZH, Mou TM and Hu ZL, Quantitative trait loci controlling Cu, Ca, Zn, Mn and Fe content in rice grains. J Genet 87: 305-310 (2008). – reference: Wang DL, Zhu J, Li L and Paterson AH, Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet 99: 1255-1264 (1999). – reference: Wang LQ, Zhong M, Li XH, Yuan DJ, Xu YB, Liu HF, et al, The QTL controlling amino acid content in grains of rice (Oryza sativa) are co-localized with the regions involved in the amino acid metabolism pathway. Mol Breed 21: 127-137 (2008). – reference: Hu ZL, Li P, Zhou MQ, Zhang ZH, Wang LX, Zhu LH, et al, Mapping of quantitative trait loci (QTLs) for rice protein and fat content using doubled haploid lines. Euphytica 135: 47-54 (2004). – reference: Goldenman IL, Rocheford TR and Dudley JW, Quantitative trait loci influencing protein and starch concentration in the Illinios long term selection maize strains. Theor Appl Genet 87: 217-224 (1993). – reference: Tan YF, Sun M, Xing YZ, Hua JP, Sun XL, Zhang QF, et al, Mapping quantitative trait loci for milling quality, protein content and color characteristics of rice using a recombinant inbred line population derived from an elite rice hybrid. Theor Appl Genet 103: 1037-1045 (2001). – reference: Shenoy VV, Seshu DV and Sachan JKS, Inheritance of protein per grain in rice. Indian J Genet 51: 214-220 (1991). – reference: Maclean JL, Dawe DC, Hardy B, Hettel GP, eds. Rice almanac. 3rd edn. CABI Publishing: Wallingford, Oxon, pp. 6-7 (2002). – reference: Wu JG, Shi CH and Zhang XM, Estimating the amino acid composition in milled rice by near-infrared reflectance spectroscopy. Field Crops Res 75: 1-7 (2002). – reference: Friedman M and Brandon DL, Nutritional and health benefits of soy proteins. J Agric Food Chem 49: 1069-1086 (2001). – reference: Shi CH, Xue JM, Yu YG, Yang XE and Zhu J, Analysis of genetic effects for nutrient quality traits in indica rice. Theor Appl Genet 92: 1092-1102 (1996). – reference: Duan M and Sun SSM, Profiling the expression of genes controlling rice grain quality. Plant Mol Biol 59: 165-178 (2005). – reference: McCouch SR, Cho YG and Yano M, Report on QTL nomenclature. Rice Genet Newslett 14: 11-13 (1997). – reference: Yu J, Peng P, Zhang X, Zhao Q, Zhu D, Sun X, et al, Seed-specific expression of the lysine-rich protein gene sb401 significantly increases both lysine and total protein content in maize seeds. Food Nutr Bull 26: 427-431 (2005). – reference: Azevedo RA and Lea PJ, Lysine metabolism in higher plants. Amino Acids 20: 261-279 (2001). – reference: Gao YF, Jing YX, Shen SH, Tian SP, Kuang TY and Sun SM, Transfer of lysine-rich protein gene into rice and production of fertile transgenic plants. Acta Bot Sinica 43: 506-511 (2001). – reference: Hesse H and Höfgen R, Molecular aspects of methionine biosynthesis. Trends Plant Sci 8: 259-262 (2003). – reference: Wu XR, Chen ZH and Folk WR, Enrichment of cereal protein lysine content by altered tRNAlys coding during protein synthesis. 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Snippet | BACKGROUND: Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports... BACKGROUND: Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports... Protein content and amino acid composition in rice are the most important components of rice nutrient quality. However, there have been few reports on the... |
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SubjectTerms | amino acid composition amino acid content Amino acids Biological and medical sciences Biological variation Cereal and baking product industries Chromosomes Effects Feeding. Feeding behavior food analysis food composition Food industries Food science Fundamental and applied biological sciences. Psychology Gene loci genetic dissection Genomes genomics Grains linkage (genetics) Loci nutrient content Nutrition nutritional quality nutritive value Oryza sativa plant genetics Proteins QTL (quantitative trait locus) quantitative trait loci Rice rice (Oryza sativa L.) Vertebrates: anatomy and physiology, studies on body, several organs or systems |
Title | Genetic dissection of amino acid content in rice grain |
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