欢迎访问作物学报,今天是

作物学报 ›› 2013, Vol. 39 ›› Issue (11): 1917-1926.doi: 10.3724/SP.J.1006.2013.01917

• 作物遗传育种·种质资源·分子遗传学 •    下一篇

中国大豆主产区不同年代大面积种植品种的遗传多样性分析

王彩洁1,2,孙石1,金素娟1,3,李伟2,吴存祥1,侯文胜1,韩天富1, *   

  1. 1中国农业科学院作物科学研究所 / 农业部北京大豆生物学重点实验室,北京 100081;2山东省农业科学院作物研究所,山东济南 250100;3石家庄市农林科学研究院,河北石家庄 050041
  • 收稿日期:2013-04-10 修回日期:2013-06-24 出版日期:2013-11-12 网络出版日期:2013-08-14
  • 通讯作者: 韩天富, E-mail: hantianfu@caas.cn, Tel: 010-82105875
  • 基金资助:

    本研究由国家现代农业产业技术体系建设专项(CARS-04)和国家重点基础研究发展计划(973计划)项目(2009CB118404)资助。

Genetic Diversity Analysis of Widely-planted Soybean Varieties from Different Decades and Major Production Regions in China

WANG Cai-Jie1,2,SUN Shi1,JIN Su-Juan1,3,LI Wei2,WU Cun-Xiang1,HOU Wen-Sheng1,HAN Tian-Fu1,*   

  1. 1 Key Laboratory of Soybean Biology (Beijing), Ministry of Agriculture / Institute of Crop Science,Chinese Academy of Agricultural Sciences, Beijing 100081, China; 2 Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China; 3 Shijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China
  • Received:2013-04-10 Revised:2013-06-24 Published:2013-11-12 Published online:2013-08-14
  • Contact: 韩天富, E-mail: hantianfu@caas.cn, Tel: 010-82105875

摘要:

利用与大豆产量、品质、抗逆性、适应性等重要性状相关的125对SSR标记对中国大豆主产区东北和黄淮海地区自20世纪40年代以来大面积种植的89个大豆品种进行遗传多样性分析。结果表明,自北向南大面积种植品种SSR标记的多态性呈逐渐升高的趋势,黑龙江北部、黑龙江中南部、吉林辽宁地区和黄淮海地区大面积种植品种标记的多态性信息含量(PIC)依次为0.414、0.469、0.522和0.562。除黑龙江北部以外,其余3个地区20世纪80年代以来大面积种植品种的多态性信息含量均比80年代以前种植的品种高。根据Nei和Li提出的遗传相似系数对供试品种进行聚类分析,发现除黄淮海北部地区的冀豆12外,东北和黄淮海地区大面积种植品种各自聚成一类,而在东北地区品种中,吉林辽宁和黑龙江地区的品种归属不同亚类,表明同一区域内大面积种植品种的同质化现象相当明显。

关键词: 大豆大面积种植品种, SSR标记, 遗传多样性, 多态性信息含量

Abstract:

The genetic diversity of widely-planted soybean varieties released after 1940s in Northeast China and Yellow-Huai-Hai Rivers Valley (YHH)were analyzed by 125 simple sequence repeats (SSR) markers, which were related to the important traits including yield, quality, stress tolerance and adaptability. The results showed that the average polymorphism information content (PIC) from north part of Heilongjiang province, south and middle parts of Heilongjiang province, Jilin and Liaoning provinces and Yellow-Huai-Hai Rivers Valley were 0.414, 0.469, 0.522, and 0.562, respectively. Except for the varieties from the north part of Heilongjiang province, the varieties released after 1980 in the other three regions had higher PIC than those released before 1980. Based on similarity proposed by Nei and Li, we classified the tested soybean varieties into three major groups by the cluster analysis, corresponding with the original places of the varieties. The varieties from the Northeast and YHH were classified into two major groups respectively, except for Jidou 12, a variety from northern YHH, which was classified into an independent group. In the Northeast, varieties of Heilongjiang were classified into one subgroup and those from Jilin and Liaoning provinces another subgroup, indicating that the widely-planted varieties from the same region were apparently homogenized.

Key words: Soybean, Widely-planted variety, SSR markers, Genetic diversity, Polymorphism information content (PIC)

[1]Cui Z-L(崔章林), Gai J-Y(盖鈞镒), Carter T E, Qiu J-X(邱家驯), Zhao T-J(赵团结). The Released Chinese Soybean Cultivars and Their Pedigree Analyses (1923–1995))[中国大豆育成品种及其系谱分析(1923–1995)]. Beijing: China Agriculture Press, 1998. pp 23–311 (in Chinese)



[2]Xiong D-J(熊东金), Zhao T-J(赵团结), Gai J-Y(盖鈞镒). Parental analysis of soybean cultivars released in China. Sci Agric Sin (中国农业科学), 2008, 41(9): 2589–2598 (in Chinese with English abstract)



[3]National Soybean Industrial R&D System (国家大豆产业技术体系). Annual Report of Soybean Industrial Technology in 2011. Department of Science, Technology and Education of Ministry of Agriculture, Department of Education, Science and Culture of Ministry of Finance. Annual Report of Agricultural Industrial Technology in China (2011). Beijing: China Agriculture Press. 2012, (in press)(in Chinese)



[4]National Soybean Industrial R&D System (国家大豆产业技术体系). Annual Report of Soybean Industrial Technology in 2012. Department of Science, Technology and Education of Ministry of Agriculture, Department of Education, Science and Culture of Ministry of Finance. Annual Report of Agricultural Industrial Technology in China (2011). Beijing: China Agriculture Press, 2013, (in press)(in Chinese)



[5]Hu M-X(胡明祥). Achievement and outlook of soybean breeding in China. Soybean bull (大豆通报), 1993, 5(6): 23–24 (in Chinese)



[6]Jin J(金剑), Wang G-H(王光华), Liu X-B(刘晓冰), Mi L(米亮), Du J-L(杜金岭). Agronomic changes of soybean cultivars released during 1950 to 2006 in Heilongjiang Province. J Zhejiang Univ (Agric Life Sci Edn)(浙江大学学报?农业与生命科学版), 2008, 34 (3): 296–302 (in Chinese with English abstract)



[7]Zheng H-B(郑洪兵), Liu W-R(刘武仁), Zheng J-Y(郑金玉), Luo Y(罗洋), Li W-T(李伟堂), Xu K-Z(徐克章), Lu J-M(陆静梅). Progress of studies on some agronomic traits of soybean in genetic improvement. J Jilin Agric Sci (吉林农业科学), 2008, 33(2): 13–16 (in Chinese)



[8]Wang C-J(王彩洁), Sun S(孙石), Wu B-M(吴宝美), Chang R-Z(常汝镇), Han T-F(韩天富). Pedigree analysis of widely-planting soybean varieties in China since 1940s. Chin J Oil Crop Sci (中国油料作物学报), 2013, 35: in press (in Chinese with English abstract)



[9]Song Q-J(宋启建). A review of development and application of simple sequeence repeat (SSR) in soybean. Soybean Sci (大豆科学), 1999, 16(3): 248-254 (in Chinese with English abstract)



[10]Li Y H, Li W, Zhang C,Yang L, Chang R Z, Brandon S G, Qiu L J. Genetic diversity in domesticated soybean (Glycine max) and its wild progenitor (Glycine soja) for simple sequence repeat and single-nucleotide polymorphism. New Phytol, 2010, 188 : 242–253



[11]Iquira E, Gagnon E, Belzile F. Comparison of genetic diversity between Canadian adapted genotypes and exotic germplasm of soybean. Genome, 2010, 53: 337–345



[12]Mikel M A, Diers B W, Nelson R L, Smith H H. Genetic diversity and agronomic improvement of North American soybean germplasm. Crop Sci, 2010, 50: 1219–1229



[13]Doyle J J, Doyle J I. Isolation of plant DNA from fresh tissue. Focus, 1990, 12: 149–151



[14]Reyna N, Sneller C H. Evaluation of marker-assisted introgression of yield QTL alleles into adapted soybean. Crop Sci, 2001, 41: 1317–1321



[15]Wang G L, Graef A M, Procopiuk B W. Identification of putative QTL that underlie yield in interspecific soybean backcross populations. Theor Appl Genet, 2004, 108: 458–467



[16]Li D D, Pfeifer T W, Cornelius P L. Soybean QTL for yield and yield components associated with Glycine soja alleles. Crop Sci, 2008, 48: 571–581



[17]Josie J, Alcivar A, Rainho J, Kassem M A. Genomic regions containing QTL for plant height, internodes length, and flower color in soybean [Glycine max (L.) Merr.]. BIOS, 2007, 78(4): 119–126



[18]Huang Z-W(黄中文), Zhao T-J(赵团结), Yu D-Y(喻德跃), Chen S-Y(陈受宜), Gai J-Y(盖钧镒). Lodging resistance indices and related QTLs in soybean. Acta Agron Sin (作物学报), 2008, 34(4): 605–611 (in Chinese with English abstract)



[19]Chen Q-S(陈庆山), Zhang Z-C(张忠臣), Liu C-Y(刘春燕), Xin D-W(辛大伟), Shan D-P(单大鹏), Qiu H-M(邱红梅), Shan C-Y(单彩云). QTL analysis of major agronomic traits in soybean. Sci Agric Sin (中国农业科学), 2007, 40(1): 41–47 (in Chinese with English abstract)



[20]Tasma M I, Shoemaker R C. Mapping flowering time gene homolos in soybean and their association with maturity (E) loci. Crop Sci, 2003, 43: 319–328



[21]Tasma I M, Lorenzen L, Green D E, Shoemarker R C. Mapping genetic loci for flowering times, maturity and photoperiod insensitivity in soybean. Mol Breed, 2001, 8: 25–35



[22]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. Crop Sci, 2004, 44: 1218–1225



[23]Panthee D R, Pantalone V R, West D R, Saxton A M, Sams C E. Quantitative trait loci for seed protein and oil concentration, and seed size in soybean. Crop Sci, 2005, 45: 2015–2022



[24]Panthee D R, Pantalone V R, Saxton A M, West D R, Sams C E. Genomic regions associated with amino acid composition in soybean. Mol Breed, 2006, 17: 79–89



[25]Nei M, Li W. Mathematical model for studying genetic variation in terms of restriction endonuleases. Proc Natl Acad Sci USA, 1979, 76: 5269–5273



[26]Rohlf F J. NTSYSpc: Numerical Taxonomy and Multivariate Analysis System, version 2.1. Exeter Software, NY, 2000



[27]Luan W-J(栾维江), Liu Z-X(刘章雄), Guan R-X(关荣霞), Chang R-Z(常汝镇), He B-R(何蓓如), Qiu L-J(邱丽娟). Representativeness of northeast China spring soybeans and their genetic diversity at SSR loci. Chin J Appl Ecol (应用生态学报), 2005, 16(8): 1469–1476 (in Chinese with English abstract)



[28]Zhao H-K(赵洪锟), Wang Y-M(王玉民), Li Q-Y(李启云), Zhang M(张明), Zhuang B-C(庄炳昌). SSR analysis of wild soybean (G. Soja) and cultivated soybean from different latitude in China. Soybean Sci (大豆科学), 2001, 20(3): 172–176 (in Chinese with English abstract)



[29]Gai J-Y(盖钧镒), Cui Z-L(崔章林). Ancestral analysis of soybean cultivars in China. J Nanjing Agric Univ (南京农业大学学报), 1994, 17(3): 19–23 (in Chinese)



[30]Gao Y-L(高运来), Yao B-C(姚丙晨), Liu C-Y(刘春燕), Li W-F(李文福), Jiang H-W(蒋洪蔚), Li C-D(李灿东), Zhang W-B(张闻博), Hu G-H(胡国华), Chen Q-S(陈庆山). Genetic diversity analysis by simple sequence repeats of soybean (Glycine max) varieties from Heilongjiang. Chin Bull Bot (植物学报), 2009, 44 (5): 556–561 (in Chinese with English abstract)



[31]Wang L X, Guan R X, Liu Z X, Chang R Z, Qiu L J. Genetic diversity of Chinese cultivated soybean revealed by SSR markers. Crop Sci, 2006, 46: 1032–1038



[32]Wang M, Li R Z, Yang W M, Du W J. Assessing the genetic diversity of varieties and wild soybeans using SSR markers. Afric J Biotech, 2010, 9(31): 4857–4866



[33]Diwan N, Cregan P B. Automated sizing of fluorescent labeled simple sequence repeat (SSR) markers to assay genetic variation in soybean. Theor Appl Genet, 1997, 95: 723–733



[34]Chen Y, Wang D, Arelli P, Ebrahimi M, Nelson R L. Molecular marker diversity of SCN-resistant sources in soybean. Genome, 2006, 49: 938–949



[35]Hwang T Y, Nakamoto Y, Kono I, Enoki H, Funatsuki H, Kitamura K, Ishimoto M. Genetic diversity of cultivated and wild soybeans including Japanese elite varieties as revealed by length polymorphism of SSR markers. Breed Sci, 2008, 58: 315–323



[36]Xia Z, Watanabe S, Yamada T, Tsubokura Y, Nakashima H, Zhai H, Anai T, Sato S, Yamazaki T, Lü S, Wu H, Tabata S, and Harada K. Positional cloning and characterization reveal the molecular basis for soybean maturity locus E1 that regulates photoperiodic flowering. Proc Natl Acad Sci USA, 2012, 109: E2155-E2164



[37]Watanabe S, Xia Z, Hideshima R, Tsubokura Y, Sato S, Yamanaka N, Takahashi R, Anai T, Tabata S, Kitamura K, Harada K. A map-based cloning strategy employing a residual heterozygous line reveals that the GIGANTEA gene is involved in soybean maturity and flowering. Genetics, 2011, 188: 260–395



[38]Watanabe S, Hideshima R, Xia Z, Tsubokura Y, Sato S, Nakamoto Y, Yamanaka N, Takahashi R, Ishimoto M, Anai T, Tabata S, Harada K. Map-based cloning of the gene associated with the soybean maturity locus E3. Genetics, 2009, 182: 1251–1262



[39]Liu B, Kanazawa A, Matsumura H, Takahashi R, Harada K, Abe J. Genetic redundancy in soybean photoresponses associated with duplication of the phytochrome A gene. Genetics, 2008, 180: 995–1007



[40]Kong F, Liu B, Xia Z, Sato S, Kim B, Watanabe S, Yamada T, Tabata S, Kanazawa A, Harada K, Abe J. Two coordinately regulated homologs of FLOWERING LOCUS T are involved in the control of photoperiodic flowering in soybean. Plant Physiol, 2010, 154: 1220–1231



[41]Sun H, Jia Z, Cao D, Jiang B, Wu C, Hou W, Liu Y, Fei Z, Zhao D, Han T. GmFT2a, a soybean homolog of FLOWERING LOCUS T, is involved in flowering transition and maintenance. PLoS ONE, 2011, 6(12): e29238

[1] 杨扬, 常诗惠, 田红丽, 易红梅, 王璐, 任洁, 范亚明, 刘亚维, 王凤格, 赵久然. 不同生态区国审玉米品种的遗传多样性分析[J]. 作物学报, 2026, 52(5): 1352-1364.
[2] 徐建霞, 丁延庆, 曹宁, 程斌, 高旭, 李文贞, 王若若, 王磊, 张立异. 397份高粱种质资源在贵州表型多样性分析及综合评价[J]. 作物学报, 2026, 52(4): 1073-1087.
[3] 田春艳, 陆鑫, 吴才文, 徐超华, 刘家勇, 边芯, 桃联安. 基于荧光SSR的甘蔗创新种质遗传多样性分析及育种潜力评估[J]. 作物学报, 2026, 52(4): 1057-1072.
[4] 侯洁, 付朵朵, 武海峰, 郝宇琼, 郑兴卫, 武棒棒, 周凯, 李晓华, 郑军, 赵佳佳. 山西省小麦地方品种的染色体多样性及遗传效应分析[J]. 作物学报, 2026, 52(3): 746-763.
[5] 梅飘, 刘丁丁, 叶圆圆, 张晨禹, 丁诗琦, 李亚奇, 王培鑫, 梅菊芬, 马春雷. 基于茶树液相功能芯片的白化茶树资源遗传多样性分析[J]. 作物学报, 2025, 51(9): 2358-2370.
[6] 王天译, 杨绣娟, 赵佳佳, 郝宇琼, 郑兴卫, 武棒棒, 李晓华, 郝水源, 郑军. 山西小麦醇溶蛋白多样性及其对面粉品质效应研究[J]. 作物学报, 2025, 51(7): 1784-1800.
[7] 王浩辰, 王克晶, 韩娟, 李向华. 东南沿海短绒野大豆两种代表性生境自然种群的空间遗传结构特征:种群内取样策略研究[J]. 作物学报, 2025, 51(11): 2875-2885.
[8] 郑栋, 周仙莉, 滕长才, 侯万伟, 张红岩, 刘玉皎. 基于SSR标记的青海蚕豆品种亲缘关系分析与指纹图谱构建[J]. 作物学报, 2025, 51(1): 79-90.
[9] 匡博文, 韦妳, 刘金典, 陈美燕, 毛兴洁, 段维兴, 杨细平. 基于甘蔗及其近缘属参考基因组开发SSR标记及数据库[J]. 作物学报, 2025, 51(1): 103-116.
[10] 张红岩, 敏玉霞, 滕长才, 彭小星, 陈志凯, 周仙莉, 娄树宝, 刘玉皎. 利用130K液相芯片分析中国蚕豆种质资源遗传多样性[J]. 作物学报, 2024, 50(8): 1989-2000.
[11] 李长喜, 董占鹏, 关永虎, 刘金伟, 李航, 梅拥军. 南疆陆地棉农艺性状与皮棉产量性状的遗传贡献及决策系数分析[J]. 作物学报, 2024, 50(6): 1486-1502.
[12] 柯会锋, 苏红梅, 孙正文, 谷淇深, 杨君, 王国宁, 徐东永, 王洪这, 吴立强, 张艳, 张桂寅, 马峙英, 王省芬. 棉花现代品种资源产量与纤维品质性状鉴定及分子标记评价[J]. 作物学报, 2024, 50(2): 280-293.
[13] 陈志凯, 周仙莉, 张红岩, 滕长才, 侯万伟. 320份蚕豆蛋白质含量的SSR关联分析[J]. 作物学报, 2024, 50(11): 2775-2786.
[14] 苏一钧, 赵路宽, 唐芬, 戴习彬, 孙亚伟, 周志林, 刘亚菊, 曹清河. 378份甘薯引进种遗传多样性及群体结构分析[J]. 作物学报, 2023, 49(9): 2582-2593.
[15] 王倩, 张立媛, 许月, 李海, 刘少雄, 薛亚鹏, 陆平, 王瑞云, 刘敏轩. 黍稷高基元EST-SSR标记开发及200份核心种质资源遗传多样性分析[J]. 作物学报, 2023, 49(8): 2308-2318.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!