Scientia Agricultura Sinica ›› 2015, Vol. 48 ›› Issue (16): 3101-3111.doi: 10.3864/j.issn.0578-1752.2015.16.001

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS •     Next Articles

Assessment of Genetic Variation in Different Races of Maize Landraces in China

LIU Zhi-zhai 1, 2, WU Xun2, LI Yong-xiang 2, DING Xiao-yu 1, 2, WANG Feng-ge 3, SHI Yun-su 2, SONG Yan-chun 2, ZHAO Jiu-ran 3, LI Yu 2, WANG Tian-yu 2   

  1. 1College of Agronomy and Biotechnology, Southwest University, Chongqing 400715
    2Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081
    3Maize Research Center, Beijing Academy of Agricultural and Forestry Sciences,  Beijing 100097
  • Received:2015-01-29 Online:2015-08-16 Published:2015-08-16

Abstract: 【Objective】Genetic variation of nine races of maize landrace germplasm in China was revealed via DNA markers. Genetic relationships and population differentiation of these races were also discussed. All the results will provide informative reference for the following researches focused on uncovering formation and evolution of races, and efficient utilization of different races.【Method】In the present study, 55 SSRs covering the whole maize genome were used to assess the genetic diversity of 224 landraces that represent the nine maize races classified previously based on the germplasm preserved in China National GenBank. Three diversity parameters, including the average alleles per locus, gene diversity, and polymorphism information content (PIC), of all these 224 landraces were calculated by the Summary Manu of PowerMarker V3.25. Statistical differences among these diversity parameters of the nine races were determined via Wilcoxon signed-rank test at the same sample size level through resampling strategy. Euclidean distances of these nine races were calculated by the Phylogeny Manu of PowerMarker, and the clustering analysis based on the Euclidean distance was carried out among these races. Analysis of molecular variance (AMOVA) of these nine races was carried out by the Structure Manu, and the FST between the race pairs of these nine races was also estimated. 【Result】The diversity results revealed by 55 SSRs showed that the average alleles per locus, gene diversity and PIC were 11.53, 0.6315, and 0.5953, respectively, ranging from 4.42 to 7.64, 0.5788 to 0.6532, and 0.5334 to 0.6117, correspondingly. Though the two races of Southwestern Yellow Flints and Derived Race possessed relatively higher number of alleles per locus, no statistical differences of these three genetic diversity parameters were detected by the resampling strategy within each pair of races (P>0.05). Nine races were assigned into three clusters, and one cluster was consisted of popcorn race, another cluster was consisted of 3 northern races, and the rest five races including Waxy Race, Derived Race and three southwestern races formed the third cluster. Results from the AMOVA indicated that the molecular variance among races was only 3%, far less than that detected among accessions within races (50%). FST of the race pairs ranged from 0.29% to 7.63%, and the FST of Southwestern White Flints vs Southern Waxy Race (0.29%), Southwestern Yellow Flints vs Derived Race (0.80%), and Southwestern Dents vs Derived Race (0.70%) were relatively lower than those of the other race pairs.【Conclusion】A total of 634 alleles were detected by 55 SSRs covered the entire maize genome within the nine races, suggesting that abundant genetic variation exists within the germplasm of these nine maize races formed during the long-term artificial and natural selection in China. In addition, the close relationships and relatively lower FST of the races or race pairs suggested that Southwestern White Flints might act as the fundamental germplasm base of Southern Waxy Race (FST=0.29%). The lowest FST of Derived Race vs. the other eight races were observed between the race pairs of Derived Race vs Southwestern Yellow Flints (0.80%) and Derived Race vs Southwestern Dents (0.70%), implying that these two races might play more important roles in the formation and evolution of Derived Race.

Key words: maize (Zea mays L.), race, SSR, genetic variation

[1]    Swami M. Plant genetics: Exploring the maize of genetic variation. Nature Reviews Genetics, 2009, 10: 592-593.
[2]    Vigouroux Y, Mithchell S, Matsuoka Y, Hanblin M, Kresovich S, Smith J S C, Jaqueth J, Smith O S, Doebley J. An analysis of genetic diversity across the maize genome using microsatellites. Genetics, 2005, 169: 1617-1630.
[3]   Vigouroux Y, Glaubitz J C, Matsuoka Y, Goodamn M M, Sanchez J G, Doebley J. Population structure and genetic diversity of New World maize races assessed by DNA microsatellites. American Journal of Botany, 2008, 95: 1240-1253.
[4]    Inghelandt D V, Melchinger A E, Legreton C, Stich B. Population structure and genetic diversity in a commercial maize breeding program assessed with SSR and SNP markers. Theoretical and Applied Genetics, 2010, 120: 1289-1299.
[5]    Regourg C, Gouesnard B, Charcosset A. Large scale molecular analysis of traditional European maize populations. Relationships with morphological variation. Heredity, 2001, 86: 574-587.
[6]    Legesse B W, Myburg A A, Pixley K V, Hotha A M. Genetic diversity of African maize inbred lines revealed by SSR markers. Hereditas, 2007, 144: 10-17.
[7]    Liu K, Goodman M, Muse S, Smith J S, Buckler E D, Doebley J. Genetic structure and diversity among maize inbred lines as inferred from DNA microsatellites. Genetics, 2003, 165: 2117-2128.
[8]    Schaefer C M, Bernardo R. Population structure and single nucleotide polymorphism diversity of historical Minnesota maize inbreds. Crop Science, 2013, 53: 1529-1536.
[9]    Wang R, Yu Y, Zhao J, Shi Y, Song Y, Wang T, Li Y. Population structure and linkage disequilibrium of a mini core set of maize inbred lines in China. Theoretical and Applied Genetics, 2008, 117: 1141-1153.
[10]   Yang X, Yan J, Shah T, Warburton M L, Li Q, Li L, Gao Y, Chai Y, Fu Z, Zhou Y, Xu S, Bai G, Meng Y, Zheng Y, Li J. Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection. Theoretical and Applied Genetics, 2010, 121: 417-431.
[11]   Liu Z Z, Guo R H, Zhao J R, Cai Y L, Wang F G, Cao M J, Wang R H, Shi Y S, Song Y C, Wang T Y, Li Y. Population structure and genetic diversity of maize landraces from the southwest maize region of China. Maydica, 2009, 54: 63-76.
[12]   Xia X C, Reif J C, Hoisington D A, Melchinger A E, Frisch M, Warburton M L. Genetic diversity among CIMMYT maize inbred lines investigated with SSR markers: I lowland tropical maize. Crop Science, 2004, 44: 2230-2237.
[13]   Warburton M L, Reif J C, Frisch M, Bohn M, Bedoya C, Xia X C, Crossa J, Franco J, Hoisington D, Pixley K, Taba S, Melchinger A E. Genetic diversity in CIMMYT nontemperate maize germplasm: Landraces, open pollinated varieties, and inbred lines. Crop Science, 2008, 48: 617-624.
[14]   Yan J, Shah T, Warburton M L, Buckler E S, McMullen M D, Crouch J. Genetic characterization and linkage disequilibrium estimation of a global maize collection using SNP markers. PLoS One, 2009, 4(12): e8451.
[15]   Lu Y, Yan J, Guuimarães C T, Taba S, Hao Z, Gao S, Chen S, Li J, Zhang S, Vivek B S, Magorokosho C, Mugo S, Makumbi D, Parentoni S N, Shah T, Rong T, Crouch J H, Xu Y. Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms. Theoretical and Applied Genetics, 2009, 120: 93-115.
[16]   曹镇北, 徐文伟. 有关玉米种族(race)的几个问题. 作物品种资源, 1990, 4: 7-9, 22.
Cao Z B, Xu W W. Several questions about maize races in China. Crop Genetic Resources, 1990, 4: 7-9, 22. (in Chinese)
[17]   Brown W L, Darrah L L. Origin, adaption, and types of corn. National Corn Handbook, 1985, 10: 1-6.
[18]   Matsuoka Y, Vigouroux Y, Goodman M, Sanchez J G, Buckler E, Doebley J. A single domestication for maize shown by multilocus microsatellite genotyping. Proceedings of the National Academy of Sciences of the USA, 2002, 99: 6080-6084.
[19]   Drinic S M, Andjelkovic V, Micic D I. Genetic diversity of maize landraces as sources of favorable traits//Caliskan M. The Molecular Basis of Plant Genetic Diversity. ISBN: 978-953-51-0157-4, InTech, 2012: 89-112.
[20]   Pressoir G, Berthaud J. Patterns of population structure in maize races from central valleys of Oaxaca in Mexico. Heredity, 2004, 92: 88-94.
[21]   Wen W, Franco J, Chavez-Tovar V H, Yan J, Taba S. Genetic characterization of a core set of a tropical maize race Tuexpeno for further use in maize improvement. PLoS One, 2012, 7(3): e32626.
[22]   Vielle-Calzada J P, Martinez de la Vega O, Hernandez-Guzman G, Ibarra-Laclette E, Alvarez-Mejia C, Vega-Arreguin J C, Jimenez- Moraila B, Herrera-Estrella A. The Palomero genome suggests metal effect on domestication. Science, 2009, 326: 1078.
[23]   黎裕, 王天宇. 中国玉米育种种质基础与骨干亲本的形成. 玉米科学, 2010, 18(5): 1-8.
Li Y, Wang T Y. Germplasm base of maize breeding in China and formation of foundation parents. Journal of Maize Science, 2010, 18(5): 1-8. (in Chinese)
[24]   刘志斋, 宋燕春, 石云素, 蔡一林, 程伟东, 覃兰秋, 黎裕, 王天宇. 中国玉米地方品种的种族划分及其特点研究. 中国农业科学, 2010, 43(5): 899-910.
Liu Z Z, Song Y C, Shi Y S, Cai Y L, Cheng W D, Qin L Q, Li Y, Wang T Y. Racial classification and characterization of maize landraces in China. Scientia Agricultura Sinica, 2010, 43(5): 899-910. (in Chinese)
[25]   Prasanna B M. Diversity in global maize germplasm: Characterization and utilization. Journal of Bioscience, 2012, 37: 843-855.
[26]   Li Y, Shi Y S, Cao Y S, Wang T Y. Establishment of a core collection for maize germplasm preserved in Chinese National Genebank using geographic distribution and characterization data. Genetic Resources and Crop Evolution, 2004, 51: 845-852.
[27]   Liu J, Muse S V. PowerMarker: An integrated analysis environment for genetic marker analysis. Bioinformatics, 2005, 21: 2128-2129.
[28]   Petit R J, Mousadic A E, Pons O. Identifying populations for conservation on the basis of genetic markers. Conservation Biology, 1998, 12: 844-855.
[29]   Xie C, Warburton M, Li M, Li X, Xiao M, Hao Z, Zhao Q, Zhuang S. An analysis of population structure and linkage disequilibrium using multilocus data in 187 maize inbred lines. Molecular Breeding, 2008, 21: 407-418.
[30]   王凤格, 田红丽, 赵久然, 王璐, 易红梅, 宋伟, 高玉倩, 杨国航. 中国328个玉米品种(组合)SSR标记遗传多样性分析. 中国农业科学, 2014, 47(5): 856-864.
Wang F G, Tian H L, Zhao J R, Wang L, Yi H M, Song W, Gao Y Q, Yang G H. Genetic diversity analysis of 328 maize varieties (hybridized conbinations) using SSR markers. Scientia Agricultura Sinica, 2014, 47(5): 856-864. (in Chinese)
[31]   Reif J C, Warburton M L, Xia X C, Hoisington D A, Crossa J, Taba S, Muminovic J, Bohn M, Frisch M, Melchinger A E. Grouping of accessions of Mexican races of maize revisited with SSR markers. Theoretical and Applied Genetics, 2006, 113: 177-185.
[32]   Yamasaki M, Tenaillon M I, Bi I V, Schroeder S G, Sanchez-Villeda H, Doebley J F, Gaut B S, MuMullen M D. A large-scale screen for artificial selection in maize identifies candidate agronomic loci form domestication and crop improvement. The Plant Cell, 2005, 17: 2859-2872.
[33]   Leberg P L. Estimating allelic richness: Effects of sample size and bottlenecks. Molecular Ecology, 2002, 11: 2445-2449.
[34]   Singode A, Parasanna B M. Analysis of genetic diversity in the North Eastern Himalayan maize landraces using microsatellite markers. Journal of Plant Biochemistry & Biotechnology, 2010, 19(1): 33-41.
[35]   Frascaroli E, Schrag T A, Melchinger A E. Genetic diversity analysis of elite European maize (Zea mays L.) inbred lines using AFLP, SSR, and SNP markers reveals ascertainment bias for a subset of SNPs. Theoretical and Applied Genetics, 2013, 126: 133-141.
[36]   Balloux F, Lugon-Moulin N. The estimation of population differentiation with microsatellite markers. Molecular Ecology, 2002, 11: 155-165.
[37]   姚坚强, 鲍坚东, 朱金庆, 桂毅杰, 沈秋芳, 胡伟民, 樊龙江. 中国糯玉米wx基因种质资源遗传多样性. 作物学报, 2013, 39(1): 43-49.
Yao J Q, Bao J D, Zhu J Q, Gui Y J, Shen Q F, Hu W M, Fan L J. Genetic diversity of waxy gene in Chinese glutinous maize. Acta Agronomica Sinica, 2013, 39(1): 43-49. (in Chinese)
[38]   Fan L, Quan L, Leng X, Guo X, Hu W, Ruan S, Ma H, Zeng M. Molecular evidence for post-domestication selection in the waxy gene of Chinese waxy maize. Molecular Breeding, 2008, 22: 329-338.
[39]   Zheng H, Wang H, Yang H, Wu J, Shi B, Cai R, Xu Y, Wu A, Luo L. Genetic diversity and molecular evolution of Chinese waxy maize germplasm. PLoS One, 2013, 8(6): e66606.
[40]   Palaisa K A, Morgante M, Williams M, Rafalski A. Contrasting effects of selection on sequence diversity and linkage disuiquilibrium at tow phytoene synthase loci. The Plant Cell, 2003, 15: 1795-1806.
[1] HONG RunJing, ZHOU Hong, LIN HuiXing, FAN HongJie. Establishment and Application of Sandwich ELISA Method for Detecting Lawsonia intracellularis [J]. Scientia Agricultura Sinica, 2025, 58(5): 1032-1042.
[2] LIU Jing, ZHAO ShiLin, YANG XiaoTing, WEI YiXuan, LI JiaPeng, ZHAO Yan. Study on the Origin Traceability of Beijing Black Pig Based on Stable Isotope Technology [J]. Scientia Agricultura Sinica, 2025, 58(23): 5071-5080.
[3] WANG LiYuan, WANG Hui, WANG MuMu, WANG DongJian, LI RuYu, ZHENG YongSheng, ZHANG Han. Construction and Application of DNA Fingerprint Database for Known Varieties in Upland Cotton DUS Testing [J]. Scientia Agricultura Sinica, 2025, 58(22): 4570-4588.
[4] LUO Qin, CHEN XieYong, XU YuYing, WEI Hang, HUANG Biao, YAO QingHua, YE NaiXing, ZHENG DeYong, YAN MingJuan. Characterization of Non-Volatile Metabolites of White Peony Tea Make of Camellia sinensis Fu’an-dabaicha from Different Origins [J]. Scientia Agricultura Sinica, 2025, 58(22): 4757-4770.
[5] GUO Lei, ZHANG BinBin, SHEN ZhiJun, YAN Juan, XU JianLan, CAI ZhiXiang, YU MingLiang, WANG FaLin, SONG HongFeng. The Release Characteristics of Medium and Trace Elements and Their Effects on Soil Available Nutrients after the Continuous Return of Green Manure in Peach Orchards [J]. Scientia Agricultura Sinica, 2025, 58(12): 2411-2426.
[6] WU YuZhen, HUANG LongYu, ZHOU DaYun, HUANG YiWen, FU ShouYang, PENG Jun, KUANG Meng. Construction of SSR Fingerprint Library and Comprehensive Evaluation for Approved Cotton Varieties in China [J]. Scientia Agricultura Sinica, 2024, 57(8): 1430-1443.
[7] LIU ZeHou, WANG Qin, YE MeiJin, WAN HongShen, YANG Ning, YANG ManYu, YANG WuYun, LI Jun. Utilization Efficiency of Improving the Resistance for Pre-Harvest Sprouting by Synthetic Hexaploid Wheat and Chinese Wheat Landrace [J]. Scientia Agricultura Sinica, 2024, 57(7): 1255-1266.
[8] ZHAO Jie, ZHAO LongYuan, PAN NingHui, GUAN LiRong, DU YunLong, LI ChengYun, WANG YunYue, XIE Yong. Hydrolase Gene BGIOSGA023826 Involved in Regulation of Resistance Process to Rice Blast [J]. Scientia Agricultura Sinica, 2024, 57(23): 4607-4618.
[9] ZHANG MingQi, WANG Rui, ZHANG ChunXiao, SUN Bo, REN Jie, LI ShuFang, WANG Lu, ZHU ShaoXi, ZHANG JiangBin, SHI XinChen, WANG HaiJie, ZHANG YunLong, TIAN HongLi, ZHAO YiKun, KUANG Meng, WANG YuanDong, YI HongMei, LI XiaoHui, WANG FengGe. The Construction and Application of SSR and SNP Molecular ID for Maize Germplasm Resources of Jilin Province [J]. Scientia Agricultura Sinica, 2024, 57(2): 236-249.
[10] ZHAI CaiJiao, GE LiJiao, CHENG YuJing, QIU Liang, WANG XiaoQiu, LIU ShuiDong. Genetic Diversity Analysis of Wax Gourd and Chieh-Qua Germplasm Resources Based on Phenotypic Traits and SSR Markers [J]. Scientia Agricultura Sinica, 2024, 57(17): 3440-3457.
[11] ZHANG CongYue, ZHOU Hong, LIN HuiXing, FAN HongJie. Development and Application of Indirect ELISA Kits for Antibody Detection of Porcine Proliferative Enteropathy [J]. Scientia Agricultura Sinica, 2024, 57(16): 3283-3293.
[12] SU GuoZhao, LI AiAi, LIU ZhongHua, CHEN YuHua, ZHANG XiuJie, MA YingXue, YANG XuHong, DENG Chao, XU ZhenJiang. Construction and Application of SSR Marker Identification System for Bitter Gourd Varieties [J]. Scientia Agricultura Sinica, 2024, 57(11): 2227-2242.
[13] LEI MengLin, LIU Xia, WANG YanZhen, CUI GuoQing, MU ZhiXin, LIU LongLong, LI Xin, LU LaHu, LI XiaoLi, ZHANG XiaoJun. Genetic Diversity Analysis of Winter Wheat Germplasm Resources in Shanxi Province Based on 55K SNP Array [J]. Scientia Agricultura Sinica, 2024, 57(10): 1845-1856.
[14] ZHANG YingXin, YANG Min, BAI XueBing, CHEN Chang, WU RuiZhi, YANG Ping, CHEN QiuSheng. Morphological Characteristics of Telocytes at Sheep Acupoints and Its Relationship with Surrounding Structures [J]. Scientia Agricultura Sinica, 2023, 56(7): 1417-1428.
[15] LI li, SUN ling, ZHANG JinHua, ZOU XiaoWei, SUN Hui, REN JinPing, JIANG ZhaoYuan, LIU XiaoMei. Evaluation of Resistance and Analysis of Utilization Value of the Major Japonica Rice Varieties in Jilin Province Based on the Physiological Race Variation of Magnaporthe oryzae [J]. Scientia Agricultura Sinica, 2023, 56(22): 4441-4452.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!