航天诱变小麦突变体籽粒表型分析和真实性鉴定

doi:10.7668/hbnxb.20193841

摘要/Abstract

摘要：

为探究航天诱变小麦突变体的真伪,以实践十号卫星搭载创制的周麦18 SP₅突变群体为材料,对其籽粒表型进行分析,同时采用42对SSR标记和55K SNP芯片技术对籽粒表型差异较为显著的4个突变体进行真实性鉴定。籽粒表型分析发现,突变群体的千粒质量、粒长差异显著,其中千粒质量变异最为丰富,粒宽差异不显著,且突变群体的平均粒长、粒宽和千粒质量均显著高于野生型,说明航天诱变的有益突变频率较高。SSR标记鉴定发现,突变体ZM18-112与野生型的差异标记为18个,多态性比例高达42.85%,而ZM18-105、ZM18-26和ZM18-7与其野生型的差异标记均不超过3个。SNP芯片鉴定发现,ZM18-112与野生型的差异SNP位点所占比例高达13.3012%,而其他3个突变体与野生型的差异SNP位点所占比例不超过0.7689%。认为突变体ZM18-112是由于异花授粉或机械混杂产生的假突变体,而ZM18-105、ZM18-26和ZM18-7与野生型的遗传背景基本一致,是经过航天诱变而产生的真实突变体。

关键词: 小麦, 航天诱变, 籽粒表型, SSR标记, 55K SNP芯片

Abstract:

In order to explore the authenticity of spaceflight induced wheat mutants, the Zhoumai 18 SP₅ mutant population created by the Shijian 10 satellite,and used 42 pairs of SSR markers and 55K SNP chip technology to identify the authenticity of four mutants with more significant differences in grain phenotypes.Grain phenotypic analysis revealed that the mutant population differed significantly in thousand grains weight and grain length,with the most abundant variation in thousand grains weight and insignificant difference in grain width,and the average grain length,grain width and thousand grains weight of the mutant population were significantly higher than those of the wild type,indicating the high frequency of beneficial mutations by space flight. SSR marker identification revealed that the mutant ZM18-112 differed from the wild type by 18 markers,with a high polymorphism ratio of 42.85%,while ZM18-105,ZM18-26 and ZM18-7 differed from their wild type by no more than three markers.The SNP chip identified that the percentage of SNP loci differing between ZM18-112 and the wild type was as high as 13.3012%,while the percentage of SNP loci differing between the other three mutants and the wild type did not exceed 0.7689%.It was believed that mutant ZM18-112 was a pseudomutant due to heterogeneous pollination or mechanical mixing,while ZM18-105,ZM18-26 and ZM18-7 had essentially the same genetic background as the wild type and were real mutants that had been mutagenized by spaceflight.

Key words: Wheat, Space mutagenesis, Grain phenotype, SSR marker, 55K SNP chip

张福彦, 朱保磊, 陈晓杰, 王嘉欢, 程仲杰, 范家霖, 张建伟. 航天诱变小麦突变体籽粒表型分析和真实性鉴定[J]. 华北农学报, 2023, 38(3): 61-68. doi: 10.7668/hbnxb.20193841.

ZHANG Fuyan, ZHU Baolei, CHEN Xiaojie, WANG Jiahuan, CHENG Zhongjie, FAN Jialin, ZHANG Jianwei. Grain Phenotype Analysis and Authenticity Identification of Space Induced Wheat Mutants[J]. Acta Agriculturae Boreali-Sinica, 2023, 38(3): 61-68. doi: 10.7668/hbnxb.20193841.

http://www.hbnxb.net/CN/Y2023/V38/I3/61

图/表 5

参考文献 29

[1]	刘丽华, 庞斌双, 刘阳娜, 邱军, 李宏博, 张欣, 王娜, 赵昌平. 2009-2014年国家冬小麦区域试验品系的遗传多样性及群体结构分析[J]. 麦类作物学报, 2016, 36(2):165-171.doi:10.7606/j.issn.1009-1041.2016.02.06. doi: 10.7606/j.issn.1009-1041.2016.02.06
	Liu L H, Pang B S, Liu Y N, Qiu J, Li H B, Zhang X, Wang N, Zhao C P. Genetic diversity and population structure analysis of winter wheat lines from recent national regional trials in China[J]. Journal of Triticeae Crops, 2016, 36(2):165-171.
[2]	陈贵菊, 闫璐, 王福玉, 邵敏敏, 黄玲, 赵凯, 杨本洲, 张玉丹, 孙雷明, 王霖. 近10年黄淮冬麦区北片水地区试品种产量及主要农艺性状分析[J]. 山东农业科学, 2021, 53(5):142-148.doi:10.14083/j.issn.1001-4942.2021.05.024. doi: 10.14083/j.issn.1001-4942.2021.05.024
	Chen G J, Yan L, Wang F Y, Shao M M, Huang L, Zhao K, Yang B Z, Zhang Y D, Sun L M, Wang L. Analysis on yield and main agronomic traits of winter wheat varieties in the north Huanghe-Huaihe region test in recent 10 years[J]. Shandong Agricultural Sciences, 2021, 53(5):142-148.
[3]	张江丽, 解沛, 戴小枫. 制约我国粮食生产稳定发展的因素分析及对策建议[J]. 中国农业科技导报, 2011, 13(6):1-5.doi:10.3969/j.issn.1008-0864.2011.06.01. doi: 10.3969/j.issn.1008-0864.2011.06.01
	Zhang J L, Xie P, Dai X F. Analysis of factors restricting the stable development of China's grain production and countermeasures[J]. Journal of Agricultural Science and Technology, 2011, 13(6):1-5.
[4]	Reynolds M, Bonnett D, Chapman S C, Furbank R T, Manès Y, Mather D E, Parry M A J. Raising yield potential of wheat.I.Overview of a consortium approach and breeding strategies[J]. Journal of Experimental Botany, 2011, 62(2):439-452.doi:10.1093/jxb/erq311. doi: 10.1093/jxb/erq311 pmid: 20952629
[5]	赵林姝, 刘录祥. 农作物辐射诱变育种研究进展[J]. 激光生物学报, 2017, 26(6):481-489.doi:10.3969/j.issn.1007-7146.2017.06.001. doi: 10.3969/j.issn.1007-7146.2017.06.001
	Zhao L S, Liu L X. Research progresses in irradiation-induced mutation breeding in crops[J]. Acta Laser Biology Sinica, 2017, 26(6):481-489.
[6]	刘录祥, 郭会君, 赵林姝, 古佳玉, 赵世荣. 我国作物航天育种20年的基本成就与展望[J]. 核农学报, 2007, 21(6):589-592,601.doi:10.3969/j.issn.1000-8551.2007.06.012. doi: 10.3969/j.issn.1000-8551.2007.06.012
	Liu L X, Guo H J, Zhao L S, Gu J Y, Zhao S R. Achievements in the past twenty years and perspective outlook of crop space breeding in China in the past 20 years[J]. Journal of Nuclear Agriculturae Sciences, 2007, 21(6):589-592,601.
[7]	张福彦, 张建伟, 程仲杰, 陈晓杰, 齐红志, 杨保安, 范家霖, 崔龙. 航天诱变技术在小麦育种上的应用[J]. 核农学报, 2019, 33(2):262-269.doi:10.11869/j.issn.100-8551.2019.02.0262. doi: 10.11869/j.issn.100-8551.2019.02.0262
	Zhang F Y, Zhang J W, Cheng Z J, Chen X J, Qi H Z, Yang B A, Fan J L, Cui L. Application of space-flight mutagenesis techniques in wheat breeding[J]. Journal of Nuclear Agricultural Sciences, 2019, 33(2):262-269. doi: 10.11869/j.issn.100-8551.2019.02.0262
[8]	Xiong H C, Guo H J, Xie Y D, Zhao L S, Gu J Y, Zhao S R, Li J H, Liu L X. RNAseq analysis reveals pathways and candidate genes associated with salinity tolerance in a spaceflight-induced wheat mutant[J]. Scientific Reports, 2017, 7(1):2731.doi:10.1038/s41598-017-03024-0. doi: 10.1038/s41598-017-03024-0 pmid: 28578401
[9]	Xiong H C, Zhou C Y, Fu M Y, Guo H J, Xie Y D, Zhao L S, Gu J Y, Zhao S R, Ding Y P, Li Y T, Zhang J Z, Wang K, Li X J, Liu L X. Cloning and functional characterization of Rht8,a “Green Revolution” replacement gene in wheat[J]. Molecular Plant, 2022, 15(3):373-376.doi:10.1016/j.molp.2022.01.014. doi: 10.1016/j.molp.2022.01.014
[10]	赵丽丽, 孙小富, 黄莉娟, 王雷挺, 赵鑫. 辐射诱变突变体鉴定技术[J]. 贵州大学学报(自然科学版), 2020, 37(4):26-29.doi:10.15958/j.cnki.gdxbzrb.2020.04.05. doi: 10.15958/j.cnki.gdxbzrb.2020.04.05
	Zhao L L, Sun X F, Huang L J, Wang L T, Zhao X. Identification technology of mutants induced by radiation[J]. Journal of Guizhou University(Natural Science), 2020, 37(4):26-29.
[11]	郭奕生, 陆俊, 郭奕南. 利用SSR分子标记鉴定水稻品种真实性[J]. 种子, 2014, 33(6):115-118.doi:10.3969/j.issn.1001-4705.2014.06.035. doi: 10.3969/j.issn.1001-4705.2014.06.035
	Guo Y S, Lu J, Guo Y N. The authenticity identification of rice cultivars by using SSR molecular markers[J]. Seed, 2014, 33(6):115-118.
[12]	张维宏, 安哲, 范学锋, 冯月琪, 杨文香, 刘大群. EMS 诱导小麦 TcLr19感叶锈病突变体的筛选[J]. 华北农学报, 2016, 31(4):88-93.doi:10.7668/hbnxb.2016.04.015. doi: 10.7668/hbnxb.2016.04.015
	Zhang W H, An Z, Fan X F, Feng Y Q, Yang W X, Liu D Q. Screening of mutants susceptible to puccina triticina in TcLr19 induced by EMS[J]. Acta Agriculturae Boreali-Sinica, 2016, 31(4):88-93.
[13]	马超, 董振杰, 田修斌, 王贝麟, 张玥琦, 李欢欢, 刘文轩. 来自西尔斯山羊草的抗小麦白粉病基因Pm57抗性丧失突变体的筛选与鉴定[J]. 植物遗传资源学报, 2020, 21(2):386-393.doi:10.13430/j.cnki.jpgr.20190417001. doi: 10.13430/j.cnki.jpgr.20190417001
	Ma C, Dong Z J, Tian X B, Wang B L, Zhang Y Q, Li H H, Liu W X. Screening and identification of Pm57 mutants with loss of resistance to powdery mildew derived from Aegilops searsii[J]. Journal of Plant Genetic Resources, 2020, 21(2):386-393.
[14]	王春语, 李政君, 陈冰嬬, 张丽霞. 分子标记鉴定EMS诱变高粱突变体的真伪[J]. 辽宁农业科学, 2021(3):1-7.doi:10.3969/j.issn.1002-1728.2021.03.001. doi: 10.3969/j.issn.1002-1728.2021.03.001
	Wang C Y, Li Z J, Chen B R, Zhang L X. Identification the authenticity of EMS mutagenic mutants by molecular markers of Sorghum[J]. Liaoning Agricultural Sciences, 2021(3):1-7.
[15]	Rounsley S D, Last R L. Shotguns and SNPs:How fast and cheap sequencing is revolutionizing plant biology[J]. The Plant Journal, 2010, 61(6):922-927.doi:10.1111/j.1365-313X.2009.04030.x. doi: 10.1111/j.1365-313X.2009.04030.x
[16]	颜廷进, 蒲艳艳, 张文兰, 田茜, 王栋, 李群, 戴双, 丁汉凤. 基于SNP标记的菜豆品种真实性和纯度鉴定技术[J]. 山东农业科学, 2019, 51(12):111-119.doi:10.14083/j.issn.1001-4942.2019.12.023. doi: 10.14083/j.issn.1001-4942.2019.12.023
	Yan T J, Pu Y Y, Zhang W L, Tian Q, Wang D, Li Q, Dai S, Ding H F. Identification of authenticity and purity of kidney bean varieties based on SNP markers[J]. Shandong Agricultural Sciences, 2019, 51(12):111-119.
[17]	耿皆飞, 王娜, 蒋宏宝, 刘录祥, 许喜堂, 魏红升, 王成社, 谢彦周. 利用SSR标记和SNP芯片对小麦EMS突变体进行真实性鉴定[J]. 核农学报, 2019, 33(1):1-6.doi:10.11869/j.issn.100-8551.2019.01.0001. doi: 10.11869/j.issn.100-8551.2019.01.0001
	Geng J F, Wang N, Jiang H B, Liu L X, Xu X T, Wei H S, Wang C S, Xie Y Z. Authenticity identification of mutants induced by EMS in wheat using SSR marker and SNP chips[J]. Journal of Nuclear Agricultural Sciences, 2019, 33(1):1-6. doi: 10.11869/j.issn.100-8551.2019.01.0001
[18]	杨丽娟, 付亮, 任星旭, 朱坤, 蒋志凯. 15份黑、紫色小麦种质资源的遗传差异及籽粒花青素含量[J]. 河南农业科学, 2022, 51(12):28-36.doi:10.15933/j.cnki.1004-3268.2022.12.004. doi: 10.15933/j.cnki.1004-3268.2022.12.004
	Yang L J, Fu L, Ren X X, Zhu K, Jiang Z K. Genetic differences and anthocyanin contents of 15 black or purple wheat germplasm resources[J]. Journal of Henan Agricultural Sciences, 2022, 51(12):28-36.
[19]	Wu K, Wang J, Kong Z, Ma Z Q. Characterization of a single recessive yield trait mutant with elevated endogenous ABA concentration and deformed grains,spikelets and leaves[J]. Plant Sci, 2011, 180(2):306-312.doi:10.1016/j.plantsci.2010.10.001. doi: 10.1016/j.plantsci.2010.10.001
[20]	Zhang G Z, Wang Y Y, Guo Y, Zhao Y, Kong F M, Li S S. Characterization and mapping of QTLs on chromosome 2D for grain size and yield traits using a mutant line induced by EMS in wheat[J]. The Crop Journal, 2015, 3(2):135-144.doi:10.1016/j.cj.2014.11.002. doi: 10.1016/j.cj.2014.11.002
[21]	Chen F, Zhang F Y, Xia X C, Dong Z D, Cui D Q. Distribution of puroindoline alleles in bread wheat cultivars of the Yellow and Huai valley of China and discovery of a novel puroindoline a allele without PINA protein[J]. Molecular Breeding, 2012, 29(2):371-378.doi:10.1007/s11032-011-9553-2. doi: 10.1007/s11032-011-9553-2 URL
[22]	王立新, 常利芳, 李宏博, 季伟, 刘丽华, 赵昌平. 小麦区试品系DUS测试的分子标记[J]. 作物学报, 2010, 36(7):1114-1125.doi:10.3724/SP.J.1006.2010.01114. doi: 10.3724/SP.J.1006.2010.01114
	Wang L X, Chang L F, Li H B, Ji W, Liu L H, Zhao C P. Molecular markers for DUS test of wheat regional test lines[J]. Acta Agronomica Sinica, 2010, 36(7):1114-1125. doi: 10.3724/SP.J.1006.2010.01114 URL
[23]	郭培国, 刘文杰, 李海洋, 王直亮, 夏岩石, 李荣华. 一种快速有效检测SSR标记的非变性聚丙烯酰胺凝胶的银染方法[J]. 广州大学学报(自然科学版), 2016, 15(4):8-12,49.doi:10.3969/j.issn.1008-9799.2015.03.003. doi: 10.3969/j.issn.1008-9799.2015.03.003
	Guo P G, Liu W J, Li H Y, Wang Z L, Xia Y S, Li R H. A rapid and effective method of silver staining for detecting SSR markers in nondenaturing polyacrylamide gels[J]. Journal of Guangzhou University(Natural Science Edition), 2016, 15(4):8-12,49.
[24]	王立新, 常利芳, 李宏博, 葛玲玲, 信爱华, 高世庆, 季伟, 孙辉, 赵昌平. 小麦种子纯度的分子标记检测方法[J]. 麦类作物学报, 2009, 29(1):1-8.doi:10.3864/j.issn.0578-1752.2008.01.005. doi: 10.3864/j.issn.0578-1752.2008.01.005
	Wang L X, Chang L F, Li H B, Ge L L, Xin A H, Gao S Q, Ji W, Sun H, Zhao C P. Method of wheat seeds purity testing by molecular markers[J]. Journal of Triticeae Crops, 2009, 29(1):1-8.
[25]	王美芳, 杨会民, 杨攀, 何宁, 吴政卿, 李巍, 徐福新, 刘加平, 雷振生. 冬小麦品种航天诱变后代性状分析[J]. 核农学报, 2011, 25(5):833-838.doi:10.3969/j.issn.1001-1463.2008.03.002. doi: 10.3969/j.issn.1001-1463.2008.03.002
	Wang M F, Yang H M, Yang P, He N, Wu Z Q, Li W, Xu F X, Liu J P, Lei Z S. Variation analysis of space mutation in winter wheat varieties[J]. Acta Agriculturae Nucleatae Sinica, 2011, 25(5):833-838.
[26]	吕兴娜, 杜久元, 苏萍萍, 王琪琳, 吴建辉, 黄丽丽, 康振生, 韩德俊. 小麦航天诱变抗条锈病突变体的筛选与鉴定[J]. 麦类作物学报, 2016, 36(12):1599-1604.doi:10.7606/j.issn.1009-1041.2016.12.07. doi: 10.7606/j.issn.1009-1041.2016.12.07
	Lü X N, Du J Y, Su P P, Wang Q L, Wu J H, Huang L L, Kang Z S, Han D J. Screening and identification resistance to stripe rust from space mutagenesis of wheat[J]. Journal of Triticeae Crops, 2016, 36(12):1599-1604.
[27]	Cheng Z X, Lin J C, Lin T X, Xu M, Huang Z W, Yang Z J, Huang X Y, Zheng J G. Genome-wide analysis of radiation-induced mutations in rice(Oryza sativa L.ssp.indica)[J]. Molecular BioSystems, 2014, 10(4):795-805.doi:10.1039/C3MB70349E. doi: 10.1039/C3MB70349E URL
[28]	周世奇, 刘东阳, 潘旭浩, 屈建康, 程立锐, 任民, 晁江涛, 张玉, 罗成刚. 烟草航天诱变突变体变异检测及分析[J]. 植物遗传资源学报, 2019, 20(2):377-386.doi:10.13430/j.cnki.jpgr.20180605001. doi: 10.13430/j.cnki.jpgr.20180605001
	Zhou S Q, Liu D Y, Pan X H, Qu J K, Cheng L R, Ren M, Chao J T, Zhang Y, Luo C G. Sequence modification analysis of tobacco mutant derived from space mutagenesis[J]. Journal of Plant Genetic Resources, 2019, 20(2):377-386.
[29]	Daba S D, Brown-Guedira G, Mohammadi M. Genome-wide association study in historical and contemporary U.S.winter wheats identifies height-reducing loci[J]. The Crop Journal, 2020, 8(2):243-251. doi: 10.1016/j.cj.2019.09.005 URL

籽粒表型 Grain phenotype	均值 Average	变幅 Range	标准差 Standard deviation	变异系数/% Coefficient of variation
粒长/cm Grain length	14.09	12.30~15.20	0.67	4.77
粒宽/cm Grain width	7.17	6.90~8.10	0.26	3.61
千粒质量/g Thousand grain weight	51.85	44.20~62.94	4.30	8.30

籽粒表型 Grain phenotype	均值 Average	变幅 Range	标准差 Standard deviation	变异系数/% Coefficient of variation
粒长/cm Grain length	14.09	12.30~15.20	0.67	4.77
粒宽/cm Grain width	7.17	6.90~8.10	0.26	3.61
千粒质量/g Thousand grain weight	51.85	44.20~62.94	4.30	8.30

编号 Number	SSR标记 SSR marker	染色体位置 Chromosome LOC		ZM18-CK		ZM18-112		ZM18-105		ZM18-26		ZM18-7
PM01	Cwm65	1A		1		1+2		1		1		1
PM02	Barc80	1BL		1		1+2		1		1		1
PM03	Cfd72	1DL		1		1		1		1		1
PM04	Gwm294	2AL		1		1		1		1		1
PM05	Gwm429	2BS		1		1		1		1		1
PM06	Gwm261	2DS		1		1		1		1		1
PM07	Gwm155	3AL		1		1+2		1		1		1
PM08	Gwm285	3BS		1		2		1		1		1
PM09	Gdm72	3DS		1		2		1		1		1
PM10	Gwm610	4AS		1		1		1		1		1
PM11	Ksum62	4B		1		1		1		1		1
PM12	Barc91	4DL		1		1+2		1		1		1
PM13	gwm304	5AS		1		1		1		1		1
PM14	Gwm67	5BL		1		1+2		1		1		1
PM15	Cfd29		5DL		1		1		1		1	1
PM16	Gwm459		6AS		1		1		1		1	1
PM17	Barc198		6BS		1		1		1		1	1+2
PM18	Cfd76		6DL		1		1+2		1		1	1
PM19	cfa2028		7AS		1		1		1		1	1
PM20	Gwm333		7BS		1		2		1		1	1
PM21	Gwm437		7DL		1		1		1		1	1
PM22	Wmc312		1AS		1		1		1		1	1
PM23	Barc240		1BL		1		1		1		1	1
PM24	Gdm111		1DL		1		1		1		1	1
PM25	Wmc522		2AS		1		2		1		1	1
PM26	Cfd51		2DS		1		1		1		1	1
PM27	Barc324		3AS		1		1+2		1		1	1
PM28	Barc164		3BS		1		1+2		1		1	1
PM29	Cfd9		3DL		1		1		1		1	1
PM30	Gwm161		3DS		1		1		1		1	1
PM31	Barc170		4AL		1		1+2		1		1	1
PM32	Gwm495		4BL		1		1		1		1	1
PM33	Wmc720		4DS		1		2		1		1	1
PM34	Gwm186		5AL		1		1		1		1	1
PM35	Cfa2155		5AL		1		2		1		1	1
PM36	Cfd8		5DS		1		1		1		1	1
PM37	Gwm169		6AL		1		1		1		1	1
PM38	barc345		6BL		1		1+2		1		1	1
PM39	Barc1121		6DL		1		1+2		1		1	1+2
PM40	Cfa2123		7AS		1		1+2		1+3		1	1
PM41	Wmc476		7BS		1		1		1		1	1
PM42	Gwm44		7DS		1		1		1		1	1

编号 Number	SSR标记 SSR marker	染色体位置 Chromosome LOC		ZM18-CK		ZM18-112		ZM18-105		ZM18-26		ZM18-7
PM01	Cwm65	1A		1		1+2		1		1		1
PM02	Barc80	1BL		1		1+2		1		1		1
PM03	Cfd72	1DL		1		1		1		1		1
PM04	Gwm294	2AL		1		1		1		1		1
PM05	Gwm429	2BS		1		1		1		1		1
PM06	Gwm261	2DS		1		1		1		1		1
PM07	Gwm155	3AL		1		1+2		1		1		1
PM08	Gwm285	3BS		1		2		1		1		1
PM09	Gdm72	3DS		1		2		1		1		1
PM10	Gwm610	4AS		1		1		1		1		1
PM11	Ksum62	4B		1		1		1		1		1
PM12	Barc91	4DL		1		1+2		1		1		1
PM13	gwm304	5AS		1		1		1		1		1
PM14	Gwm67	5BL		1		1+2		1		1		1
PM15	Cfd29		5DL		1		1		1		1	1
PM16	Gwm459		6AS		1		1		1		1	1
PM17	Barc198		6BS		1		1		1		1	1+2
PM18	Cfd76		6DL		1		1+2		1		1	1
PM19	cfa2028		7AS		1		1		1		1	1
PM20	Gwm333		7BS		1		2		1		1	1
PM21	Gwm437		7DL		1		1		1		1	1
PM22	Wmc312		1AS		1		1		1		1	1
PM23	Barc240		1BL		1		1		1		1	1
PM24	Gdm111		1DL		1		1		1		1	1
PM25	Wmc522		2AS		1		2		1		1	1
PM26	Cfd51		2DS		1		1		1		1	1
PM27	Barc324		3AS		1		1+2		1		1	1
PM28	Barc164		3BS		1		1+2		1		1	1
PM29	Cfd9		3DL		1		1		1		1	1
PM30	Gwm161		3DS		1		1		1		1	1
PM31	Barc170		4AL		1		1+2		1		1	1
PM32	Gwm495		4BL		1		1		1		1	1
PM33	Wmc720		4DS		1		2		1		1	1
PM34	Gwm186		5AL		1		1		1		1	1
PM35	Cfa2155		5AL		1		2		1		1	1
PM36	Cfd8		5DS		1		1		1		1	1
PM37	Gwm169		6AL		1		1		1		1	1
PM38	barc345		6BL		1		1+2		1		1	1
PM39	Barc1121		6DL		1		1+2		1		1	1+2
PM40	Cfa2123		7AS		1		1+2		1+3		1	1
PM41	Wmc476		7BS		1		1		1		1	1
PM42	Gwm44		7DS		1		1		1		1	1

突变体 Mutant	SNP总数/个 Total SNPs	差异SNP位点数量/个 Number of differential SNP loci	百分比/% Percentage	纯合位点多态性数量/个 Number of homozygous polymorphisms	百分比/% Percentage
ZM18-112	53 063	7 058	13.3012	2 609	4.9168
ZM18-105	53 063	386	0.7274	110	0.2073
ZM18-26	53 063	315	0.5936	63	0.1187
ZM18-7	53 063	408	0.7689	166	0.3128

选择文件类型/文献管理软件名称

选择包含的内容