|Table of Contents|

Integration of QTLs Related to Soybean Protein Content and “Qualification” of Them by Overview Method(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2011年01期
Page:
1-7,14
Research Field:
Publishing date:

Info

Title:
Integration of QTLs Related to Soybean Protein Content and “Qualification” of Them by Overview Method
Author(s):
LIU Shuo12 LUO Ling1 LIU Zhang-xiong1 GUAN Rong-xia1 QIU Li-juan2
1.College of Life Sciences, Nanchang University, Nanchang 330031, Jiangxi;
2.National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm & Biotechnology (MOA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Keywords:
Key words:Soybean Protein Physical integration Meta-analysis Overview Qualification
PACS:
S565.1
DOI:
10.11861/j.issn.1000-9841.2011.01.0001
Abstract:
Soybean protein is the main source of vegetable protein. Developing high protein content soybean is one of main aims in soybean breeding. Up to now, lots of QTLs have been revealed related to soybean protein content, but due to the different populations, markers and environments, the QTLs have not been integrated systematically. This study mainly referred to the physical integrations of QTL results and select meta-analysis to confirm 6 stable QTL regions. Moreover, overview method based on statistic thesis was also chosen for qualifications of QTLs and confirmations of valid QTLs positions. Finally, the most stable SSR marker Satt127 had been screened out, which could apply evidence for marker-assisted breeding.

References:

[1]Apuya N R, Frazier B L, Keim P, et al. Retriction fragment length polymorphism as genetic marker in soybean[J]. Theoretical and Applied Genetics, 1988, 75889-901.

[2]Song Q J, Marek L F, Shoemaker R C, et al. A new integrated genetic linkage map of the soybean[J]. Theoretical and Applied Genetics, 2004, 109122-128.

[3]Concibido V C, Diers B W, Arelli P R. A decade of QTL mapping for cyst nematode resistance in soybean[J]. Crop Science, 2004, 441121-1131.

[4]Glass G V. Primary, secondary, and meta-analysis of research[J]. Educational Researcher, 1976, 53-8.

[5]Guo B, Sleper D A, Lu P, et al. QTLs associated with resistance to soybean cyst nematode in soybeanmeta-analysis of QTL location[J]. Crop Science, 2006, 46595-602.

[6]吴琼,齐照明,刘春燕,等.基于元分析的大豆生育期QTL的整合[J].作物学报,2009358):1418-1424.(Wu Q, Qi Z M, Liu C Y, et al. An integrated QTL map of growth stage in soybean(Glycine maxL. Merr.)Constructed through Meta-Analysis[J]. Acta Agronomica Sinica, 2009, 35(8)1418-1424)

[7]齐照明,孙亚男,陈立君,等.基于Meta分析的大豆百粒重的QTLs定位[J].中国农业科学,20094211):3795-3803(Qi Z M, Sun Y N, Chen L J, et al. Meta-analysis of 100-seed weight QTLs in soybean[J]. Scientia Agricultura Sinica, 2009, 42(11)3795-3803)

[8]宋万坤,王晶,朱命喜,等.大豆脂肪酸组分相关QTL元分析[J].大豆科学,2009285):774-780(Song W K, Wang J, Zhu M X, et al. Meta-analysis of fatty acid QTLs in soybean[J]. Soybean Science, 2009, 28(5)774-780)

[9]Wang J L, Liu C Y, Wang J, et al. An integrated QTL map of fungal disease resistance in soybean(Glycine maxL. Merr)A method of meta-analysis for mining R genes[J]. Agricultural Science in China, 2010, 9(2)223-232.

[10]Chardon F, Virlon B, Moreau L, et al. Genetic architecture of flowing time in maize as inferred from quantitative trait loci meta-analysis and sunteny conservation with the rice genome[J]. Genetic, 2004, 1682169-2185.

[11]王毅.玉米本地化生物信息库的构建和QTL的整合、比较和元分析[D].武汉:华中农业大学,2006(Wang Y. The construction of local maize bioinformatics database and integration, comparison and meta-analysis of QTL[D]. WuhanHuazhong Agricultural University, 2006)

[12]史利玉.玉米抗粗缩病及灰斑病基因的初步定位[D].成都:四川农业大学,2007(Shi L Y. The general location of gene of MRDV and GLS in maize[D]. ChengduSichuan Agricultural University, 2007)

[13]Brummer E C, Graef G L, Orf J, et al. Mapping QTL for seed protein and oil content in eight soybean populations[J]. Crop Science, 1997, 37370-378.

[14]Chapman A, Pantalone V R, Ustun A, et al. Quantitative trait loci for agronomic and seed quality traits in F2?and F4:6soybean population[J]. Euphytica, 2003, 129387-393.

[15]Chen Q S, Zhang Z C, Liu C Y, et al. QTL analysis of major agronomic traits in soybean[J]. Agricultural Sciences in China, 2007, 6(4)399-405.

[16]Chung J, Babka H L, Graef G L, et al. The seed protein, oil, and yield QTL on soybean linkage group I[J]. Crop Science, 2003, 431053-1067.

[17]Csanadi G, Vollmann J, Stift G, et al. Seed quality QTLs identified in a molecular map of early maturing soybean[J]. Theoretical and Applied Genetics, 2001, 103912-919.

[18]Diers B W, Keim P, Fehr W R, et al. RFLP analysis of soybean seed protein and oil content[J]. Theoretical and Applied Genetics, 1992, 83608-612.

[19]Fasoula V A, Harris D K, Boerma H R. Validation and designation of quantitative trait loci for seed protein, seed oil, and seed weight from two soybean populations[J]. Crop Science, 2004, 441218-1225.

HJ[20]Gai J Y, Wang Y J, Wu X L, et al. A comparative study on segregation analysis and QTL mapping of quantitative traits in plants-with a case in soybean[J]. Frontier of Agriculture in China, 2007, 1(1)1-7.

[21]Hyten D L, Pantalone V R, Sams C E, et al. Seed quality QTL in a prominent soybean population[J]. Theoretical and Applied Genetics, 2004, 109552-561.

[22]Jun T H, Van K J, Kim M Y, et al. Association analysis using SSR markers to find QTL for seed protein content in soybean[J]. Euphytica, 2008, 162179-191.

[23]Kabelka E A, Diers B W, Fehr W R, et al. Putative alleles for increased yield from soybean plant introductions[J]. Crop Science, 2004, 44784-791.

[24]Lee S H, Bailey M A, Mian M A R, et al. RFLP loci associated with soybean seed protein and oil content across populations and locations[J]. Theoretical and Applied Genetics, 1996, 93649-657.

[25]Li W B, Sun D S, Du Y P, et al. Quantitative trait loci underlying the development of seed composition in soybean(Glycine maxL. Merr.)[J]. Genome, 2007, 501067-1077.

[26]Mansur L M, Orf J H, Chase K, et al. Genetic mapping of agronomic traits using recombinant inbred lines of soybean[J]. Crop Science, 1996, 361327-1336.

[27]Orf J H, Chase K, Jarvik T, et al. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations[J]. Crop Science, 1999, 391642-1651.

[28]Panthee D R, Pantalone V R, West D R, et al. Quantitative trait loci for seed protein and oil concentration, and seed size in soybean[J]. Crop Science, 2005, 452015-2022.

[29]Palomeque L, Liu L J, Li W B, et al. QTL in mega-environments II. Agronomic trait QTL co-localized with seed yield QTL detected in a population derived from a cross of high-yielding adapted×high-yielding exotic soybean lines[J]. Theoretical and Applied Genetics, 2009, 119429-436.

[30]Qiu B X, Arelli P R, Sleper D A. RFLP markers associated with soybean cyst nematode resistence and seed composition in a Peking’×Essex population[J]. Theoretical and Applied Genetics, 1999, 98356-364.

[25]Li W B, Sun D S, Du Y P, et al. Quantitative trait loci underlying the development of seed composition in soybean(Glycine maxL. Merr.)[J]. Genome, 2007, 501067-1077.

[26]Mansur L M, Orf J H, Chase K, et al. Genetic mapping of agronomic traits using recombinant inbred lines of soybean[J]. Crop Science, 1996, 361327-1336.

[27]Orf J H, Chase K, Jarvik T, et al. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations[J]. Crop Science, 1999, 391642-1651.

[28]Panthee D R, Pantalone V R, West D R, et al. Quantitative trait loci for seed protein and oil concentration, and seed size in soybean[J]. Crop Science, 2005, 452015-2022.

[29]Palomeque L, Liu L J, Li W B, et al. QTL in megaenvironments II. Agronomic trait QTL colocalized with seed yield QTL detected in a population derived from a cross of high?yielding adapted×highyielding exotic soybean lines[J]. Theoretical and Applied Genetics, 2009, 119429-436.

[30]Qiu B X, Arelli P R, Sleper D A. RFLP markers associated with soybean cyst nematode resistence and seed composition in a Peking’×Essex population[J]. Theoretical and Applied Genetics, 1999, 98356-364.


Memo

Memo:
-
Last Update: 2014-09-11