甘蔗3个育种性状与SSR标记的关联分析及优异等位变异发掘

doi:10.3724/SP.J.1006.2023.34066

作物学报 ›› 2024, Vol. 50 ›› Issue (2): 310-324.doi: 10.3724/SP.J.1006.2023.34066

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

甘蔗3个育种性状与SSR标记的关联分析及优异等位变异发掘

田春艳¹^,²(), 边芯¹^,², 郎荣斌¹^,², 俞华先¹^,², 桃联安¹^,², 安汝东¹^,², 董立华¹^,², 张钰¹^,², 经艳芬¹^,²^,^*()

¹云南省农业科学院甘蔗研究所 / 云南省甘蔗遗传改良重点实验室, 云南开远 661699
²农业农村部甘蔗生物学与遗传育种重点实验室(云南), 云南开远 661699

收稿日期:2023-03-30 接受日期:2023-06-29 出版日期:2024-02-12 网络出版日期:2023-07-19
通讯作者: *经艳芬, E-mail: rljyf@126.com
作者简介:E-mail: tianchy89@126.com
基金资助:
云南省种子种业联合实验室项目(202205AR070001-09);国家自然科学基金项目(31860406);云南省基础研究面上项目(2019FB053)

Association analysis of three breeding traits with SSR markers and exploration of elite alleles in sugarcane

TIAN Chun-Yan¹^,²(), BIAN Xin¹^,², LANG Rong-Bin¹^,², YU Hua-Xian¹^,², TAO Lian-An¹^,², AN Ru-Dong¹^,², DONG Li-Hua¹^,², ZHANG Yu¹^,², JING Yan-Fen¹^,²^,^*()

¹Academy of Agricultural Sciences / Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, Yunnan, China
²Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, China (Yunnan), Kaiyuan 661699, Yunnan, China

Received:2023-03-30 Accepted:2023-06-29 Published:2024-02-12 Published online:2023-07-19
Contact: *E-mail: rljyf@126.com
Supported by:
Yunnan Seed Laboratory Project(202205AR070001-09);National Natural Science Foundation of China(31860406);Yunnan Fundamental Research Projects(2019FB053)

摘要/Abstract

摘要：

株高、茎径和锤度是甘蔗产量和蔗糖分两大育种目标的主要构成因子, 鉴定与其相关的分子标记、发掘优异等位变异及典型载体材料, 可为甘蔗分子标记辅助育种提供依据。本试验以62份甘蔗种质资源为材料, 于成熟期调查4个种植环境条件下甘蔗株高、茎径和锤度3个育种性状, 对表型数据进行方差和遗传变异分析, 并基于37对SSR标记的分子数据, 利用MLM方法进行关联分析, 鉴定出优异关联标记并进行表型效应解析, 发掘优异等位变异及载体材料。结果表明, 基因型、种植环境及其两者互作对株高、茎径和锤度具有极显着影响。3个性状的广义遗传力范围为0.68~0.76, 说明具有较稳定的遗传特性, 其表现型主要由基因型决定。表型数据统计分析表明, 3个性状均呈现出数量性状的正态分布特征, 变异系数范围为6.73%~19.89%, 具有较丰富的表型变异。37对SSR引物共检测到204个等位变异, 平均每对扩增到5.5135个, 基因多样性平均值为0.6779, PIC平均值为0.6252, 高度多态性标记(PIC>0.5)占总量的89.19%。群体结构分析表明该群体可分为3个亚群。基于MLM模型, 共检测到与株高、茎径和锤度相关的标记20个, 表型变异解释率为5.04%~27.98%。其中7个标记在2个及以上环境中均检测到认为是优异关联标记, 经表型效应解析共鉴定出8个具有增效效应的优异等位变异及携带优异等位变异的典型载体材料10份。该研究结果对甘蔗产量和糖分性状候选基因挖掘和杂交组合亲本选配具有重要指导意义。

关键词: 甘蔗, 育种性状, SSR, 关联分析, 优异等位变异, 等位变异效应

Abstract:

Cane yield and sucrose content are the two main breeding objectives in sugarcane, and plant height, stem diameter, and brix are major constituent factors of cane yield and sucrose. Identification of associated molecular markers and exploring elite alleles with yield and sucrose traits could provide a theoretical basis and reference for marker assisted breeding of sugarcane. In this study, 62 sugarcane germplasm entries were used as the experimental materials. Three breeding traits, including plant height, stem diameter, and brix were investigated under four planting environments at maturity stage. ANOVA, genetic variation analysis and association analysis between the identified from related markers for further allele effect analysis. The result of ANOVA revealed that genotype, planting environment and their interaction had significant effect on plant height, stem diameter and brix in sugarcane. The broad-sense heritability of the three traits ranged from 0.68 to 0.76, indicating that they had stable genetic characteristics and their phenotype was mainly determined by its genotype. The frequency of these three traits showed typical quantitative traits with normal distribution characteristics. The coefficients of variation of the three traits ranged from 6.73% to 19.89%, suggesting a rich variation in phenotypes. A total of 204 alleles were found with a mean of 5.5135 per marker. The average gene diversity coefficient was 0.6779, and the average PIC value was 0.6252. The 89.19% of total markers were highly polymorphic with PIC>0.5. Population structure analysis revealed that the tested group could be divided into three subgroups. A total of 20 markers were detected associated with plant height, stem diameter, and brix traits based on MLM method, which explained 5.04%-27.98% of phenotypic variation. Seven of them detected in two or more planting environments were considered as elite markers, 8 alleles with positive effect were identified and considered as the elite alleles, and 10 typical materials were found carrying these elite alleles by allele effect analysis. These results provide a great significance for candidate gene mining of yield and sucrose content traits and parents selection of hybrid combinations in sugarcane breeding.

Key words: sugarcane, breeding traits, SSR, association analysis, elite allele, allele effect

田春艳, 边芯, 郎荣斌, 俞华先, 桃联安, 安汝东, 董立华, 张钰, 经艳芬. 甘蔗3个育种性状与SSR标记的关联分析及优异等位变异发掘[J]. 作物学报, 2024, 50(2): 310-324.

TIAN Chun-Yan, BIAN Xin, LANG Rong-Bin, YU Hua-Xian, TAO Lian-An, AN Ru-Dong, DONG Li-Hua, ZHANG Yu, JING Yan-Fen. Association analysis of three breeding traits with SSR markers and exploration of elite alleles in sugarcane[J]. Acta Agronomica Sinica, 2024, 50(2): 310-324.

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://zwxb.chinacrops.org/CN/10.3724/SP.J.1006.2023.34066

https://zwxb.chinacrops.org/CN/Y2024/V50/I2/310

图/表 10

附表1

参试材料信息"

编号 Number	材料名称 Materials name	类型 Type
1	云瑞15-468 Yunrui 15-468	创新种质Innovation germplasm
2	云瑞17-142 Yunrui 17-142	创新种质Innovation germplasm
3	云瑞15-358 Yunrui 15-358	创新种质Innovation germplasm
4	云瑞17-135 Yunrui 17-135	创新种质Innovation germplasm
5	云瑞05-292 Yunrui 05-292	品系/亲本Line/parent
6	云瑞05-770 Yunrui 05-770	品系/亲本Line/parent
7	云瑞14-179 Yunrui 14-179	创新种质Innovation germplasm
8	云瑞14-177 Yunrui 14-177	创新种质Innovation germplasm
9	云瑞14-199 Yunrui 14-199	创新种质Innovation germplasm
10	云瑞17-146 Yunrui 17-146	创新种质Innovation germplasm
11	云瑞15-78 Yunrui 15-78	创新种质Innovation germplasm
12	云瑞03-315 Yunrui 03-315	品系/亲本Line/parent
13	云瑞17-148 Yunrui 17-148	创新种质Innovation germplasm
14	云瑞08-254 Yunrui 08-254	品系/亲本Line/parent
15	云瑞15-55 Yunrui 15-55	创新种质Innovation germplasm
16	云瑞17-133 Yunrui 17-133	创新种质Innovation germplasm
17	云瑞17-124 Yunrui 17-124	创新种质Innovation germplasm
18	云瑞15-566 Yunrui 15-566	创新种质Innovation germplasm
19	云瑞11-256 Yunrui 11-256	创新种质Innovation germplasm
20	云瑞17-114 Yunrui 17-114	创新种质Innovation germplasm
21	云瑞17-149 Yunrui 17-149	创新种质Innovation germplasm
22	云瑞15-503 Yunrui 15-503	创新种质Innovation germplasm
23	云瑞17-111 Yunrui 17-111	创新种质Innovation germplasm
24	云瑞15-56 Yunrui 15-56	创新种质Innovation germplasm
25	云瑞16-3 Yunrui 16-3	创新种质Innovation germplasm
26	云瑞16-4 Yunrui 16-4	创新种质Innovation germplasm
27	云瑞16 Yunrui 16	创新种质Innovation germplasm
28	云瑞37 Yunrui 37	创新种质Innovation germplasm
29	云瑞46 Yunrui 46	创新种质Innovation germplasm
30	云瑞52 Yunrui 52	创新种质Innovation germplasm
31	云瑞90 Yunrui 90	创新种质Innovation germplasm
32	云瑞151 Yunrui 151	创新种质Innovation germplasm
33	云瑞154 Yunrui 154	创新种质Innovation germplasm
34	云瑞164 Yunrui 164	创新种质Innovation germplasm
35	云瑞215 Yunrui 215	创新种质Innovation germplasm
36	云瑞258 Yunrui 258	创新种质Innovation germplasm
37	云蔗05-51 Yunzhe 05-51	品种/亲本Variety/parent
38	云蔗08-1609 Yunzhe 08-1609	品种/亲本Variety/parent
39	新台糖22号 ROC22	品种/亲本Variety/parent
40	新台糖16号 ROC16	品种/亲本Variety/parent
41	新台糖10号 ROC10	品种/亲本Variety/parent
42	粤糖60号 Yuetang 60	品种/亲本Variety/parent
43	粤糖93-159 Yuetang 93-159	品种/亲本Variety/parent
44	粤糖86-368 Yuetang 86-368	品种/亲本Variety/parent
45	粤糖00-236 Yuetang 00-236	品种/亲本Variety/parent
46	桂糖11号 Guitang 11	品种/亲本Variety/parent
47	赣蔗8号 Ganzhe 8	品种/亲本Variety/parent
48	柳城05-136 Liucheng 05-136	品种/亲本Variety/parent
49	福农15号 Funong 15	品种/亲本Variety/parent
50	福农39号 Funong 39	品种/亲本Variety/parent
51	崖城58-47 Yacheng 58-47	亲本Parent
52	崖城97-47 Yacheng 97-47	亲本Parent
53	园林6号 Yuanlin 6	品种/亲本Variety/parent
54	POJ3016	品种/亲本Variety/parent
55	POJ213	品种/亲本Variety/parent
56	Co475	品种/亲本Variety/parent
57	Q171	品种/亲本Variety/parent
58	Q208	品种/亲本Variety/parent
59	CP94-1196	品种/亲本Variety/parent
60	PK88-188	品种/亲本Variety/parent
61	VMC97-41	品种/亲本Variety/parent
62	SP81-3250	品种/亲本Variety/parent

附表1

表1

表2

图1

表3

图2

表4

表5

表6

表7

参考文献 50

[1]	Liu J Y, Basnayake J, Jackson P A, Chen X K, Zhao J, Zhap P F, Yang L H, Bai Y D, Xia H M, Zan F G, Qin W, Yang K, Yao L, Zhao L P, Zhu J R, Lakshmanan P, Zhao X D, Fan Y H. Growth and yield of sugarcane genotypes are strongly correlated across irrigated and rainfed environments. Field Crops Res, 2016, 196: 418-425. doi: 10.1016/j.fcr.2016.07.022
[2]	Sarah E L, Richard M J, Thomas L T. Changes in juice quality and sugarcane yield with recurrent selection for sucrose. Field Crops Res, 2010, 118: 152-157. doi: 10.1016/j.fcr.2010.05.002
[3]	刘家勇, 昝逢刚, 赵培方, 赵丽萍, 姚丽, 赵俊, 赵勇, 胡鑫, 夏红明, 覃伟, 吴才文, 张跃彬, 杨昆. 甘蔗种质资源蔗糖分性状遗传变异分析及高糖种质发掘. 植物遗传资源学报, 2022, 23: 746-754. doi: 10.13430/j.cnki.jpgr.20211109002
	Liu J Y, Zan F G, Zhao P F, Zhao L P, Yao L, Zhao J, Zhao Y, Hu X, Xia H M, Qin W, Wu C W, Zhang Y B, Yang K. Genetic variation of sucrose content and exploration of high sugar genotypes in sugarcane germplasm. J Plant Genet Resour, 2022, 23: 746-754 (in Chinese with English abstract).
[4]	杨翠芳, 段维兴, 李江涛. 施用微肥对甘蔗产量和糖分的影响. 广西糖业, 2019, (3): 57-59.
	Yang C F, Duan W X, Li J T. Effects of trace element interaction on yield and sugar content of sugarcane. Guangxi Sugar Indus, 2019, (3): 57-59 (in Chinese with English abstract).
[5]	李佳慧, 程琴, 欧克纬, 谭秦亮, 庞新华, 周全光, 吕平, 宋奇琦, 唐毓玮, 朱鹏锦. 不同蔗区甘蔗品种(系)分蘖性状比较及其对产量和产量构成因子的影响. 作物杂志, 2021, (5): 79-86.
	Li J H, Cheng Q, Ou K W, Tan Q L, Pang X H, Zhou Q G, Lyu P, Song Q Q, Tang Y W, Zhu P J. Comparison of tiller characters of sugarcane varieties (lines) in different sugarcane regions and their effects on yield and yield components. Crops, 2021, (5): 79-86 (in Chinese with English abstract).
[6]	李晓瑜, 方小梅, 伍浩天, 王莹倩, 刘洋, 唐恬, 王于栋, 吴银环, 岳林清, 张瑞丰, 崔静斌, 张建, 易泽林. 苦荞种质资源主要农艺性状SSR标记关联分析. 作物学报, 2022, 48: 3091-3107. doi: 10.3724/SP.J.1006.2022.11113
	Li X Y, Fang X M, Wu H T, Wang Y Q, Liu Y, Tang T, Wang Y D, Wu Y H, Yue L Q, Zhang R F, Cui J B, Zhang J, Yi Z L. Association analysis of agronomic traits of tartary buckwheat germplasm resources with SSR markers. Acta Agron Sin, 2022, 48: 3091-3107 (in Chinese with English abstract).
[7]	刘新龙, 毛钧, 陆鑫, 马丽, Aitken K S, Jachson P A, 蔡青, 范源洪. 甘蔗SSR和AFLP分子遗传连锁图谱构建. 作物学报, 2010, 36: 177-183.
	Liu X L, Mao J, Lu X, Ma L, Aitken K S, Jachson P A, Cai Q, Fan Y H. Construction of molecular genetic linkage map of sugarcane based on SSR and AFLP markers. Acta Agron Sin, 2010, 36: 177-183 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2010.00177
[8]	Tian C Y, Zhu J R, Pan Y B, Lu X, Dong L H, Burner D M, Tao L A, Wu C W, Jing Y F. SSR-Based molecular identification and population structure analysis for the Yunrui-series sugarcane (Saccharum spp. hybrids) genotypes. Sugar Technol, 2022, 24: 1391-1403. doi: 10.1007/s12355-021-01099-8
[9]	Liu P W, Que Y X, Pan Y B. Highly polymorphic microsatellite DNA markers for sugarcane germplasm evaluation and variety identity testing. Sugar Technol, 2006, 8: 246-256. doi: 10.1007/BF02943564
[10]	杨翠凤. 割手密高密度遗传图谱的构建及黑穗病QTL定位. 广西大学博士学位论文, 广西南宁, 2015.
	Yang C F. Construction of High-density Genetic Map and Location of QTLs for Smut in Saccharum spontaneum L. PhD Dissertation of Guangxi University, Nanning, Guangxi, China, 2015 (in Chinese with English abstract).
[11]	Mackay I, Powell W. Methods for linkage disequilibrium mapping in crops. Trends Plant Sci, 2007, 12: 57-63. doi: 10.1016/j.tplants.2006.12.001 pmid: 17224302
[12]	文自翔, 赵团结, 郑永战, 刘顺湖, 王春娥, 王芳, 盖钧镒. 中国栽培和野生大豆农艺品质性状与SSR标记的关联分析: I. 群体结构及关联标记. 作物学报, 2008, 34: 1169-1178.
	Wen Z X, Zhao T J, Zheng Y Z, Liu S H, Wang C E, Wang F, Gai J Y. Association analysis of agronomic and quality traits with SSR markers in Glycine max and Glycine soja in China: I. Population structure and associated markers. Acta Agron Sin, 2008, 34: 1169-1178 (in Chinese with English abstract).
[13]	Thornsberry J M, Goodman M M, Doebley J, Kresovich S, Nielsen D, Buckler E S. Dwarf8 polymorphisms associate with variation in flowering time. Nat Genet, 2001, 28: 286-289. doi: 10.1038/90135 pmid: 11431702
[14]	Agrama H A, Eizenga G C, Yan W. Association mapping of yield and its components in rice cultivars. Mol Breed, 2007, 19: 341-356. doi: 10.1007/s11032-006-9066-6
[15]	赖勇, 吕仲昱, 贾建磊, 卢九斤, 王晋民, 朱惠琴, 马辉, 田丰, 杨莉娜, 李宗仁. 外引大麦农艺性状SSR关联位点及等位变异表型效应分析. 麦类作物学报, 2018, 38: 424-429.
	Lai Y, Lyu Z Y, Jia J L, Lu J J, Wang J M, Zhu H Q, Ma H, Tian F, Yang L N, Li Z R. Analysis of SSR loci associated with agronomic traits and allelic effect on phenotype in introduced barley (Hordeum vulgare L.). J Triticeae Crops, 2018, 38: 424-429 (in Chinese with English abstract).
[16]	张军, 赵团结, 盖钧镒. 大豆育成品种农艺性状QTL与SSR标记的关联分析. 作物学报, 2008, 34: 2059-2069. doi: 10.3724/SP.J.1006.2008.02059
	Zhang J, Zhao T J, Gai J Y. Association analysis of agronomic trait QTLs with SSR markers in released soybean cultivars. Acta Agron Sin, 2008, 34: 2059-2069 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2008.02059
[17]	Pinto L, Pastina M M, Garcia A A, Perecin D. Identification of microsatellites markers associated with yield components and quality parameters in sugarcane. Int Sugar J, 2010, 27: 140-144.
[18]	Banerjee N, Siraree A, Yadav S, Kumar S, Singh J, Kumer S, Pandey D K, Singh R K. Marker-trait association study for sucrose and yield contributing traits in sugarcane (Saccharum spp. hybrid). Euphytica, 2015, 205: 185-201. doi: 10.1007/s10681-015-1422-3
[19]	Bilal M, Saeed M, Nasir I A, Tabassum B, Zameer M, Khan A, Tariq M, Javed A M, Husnain T. Association mapping of cane weight and tillers per plant in sugarcane. Biotechnol Biotechnol Equip, 2015, 29: 617-623. doi: 10.1080/13102818.2015.1008203
[20]	Siraree A, Banerjee N, Kumar S, Khan M S, Singh P K, Kumar S, Sharma S, Singh R K, Singh J. Identification of marker-trait associations for morphological descriptors and yield component traits in sugarcane. Physiol Mol Biol Plants, 2017, 23: 185-191. doi: 10.1007/s12298-016-0403-x
[21]	朱专为. 甘蔗栽培品种的主要农艺性状与AFLP和SSR分子标记的关联分析. 福建农林大学硕士学位论文, 福建福州, 2018.
	Zhu Z W. Association Analysis of Main Agronomic Traits of Sugarcane Cultivated Varieties Using AFLP and SSR Markers. MS Thesis of Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 2018 (in Chinese with English abstract).
[22]	Barreto F Z, Rosa J R B F, Balsalobre T W A, Pastina M M, Silva R R, Hoffmann H P, Souza A P, Garcia A A F, Carneiro M S. A genome-wide association study identified loci for yield component traits in sugarcane (Saccharum spp.). PLoS One, 2019, 14: e0219843. doi: 10.1371/journal.pone.0219843
[23]	Basnayake J, Jackson P A, Inman-Bamber N G, Lakshmanan P. Sugarcane for water-limited environments: variation in stomatal conductance and its genetic correlation with crop productivity. J Exp Bot, 2015, 66: 3945-3958. doi: 10.1093/jxb/erv194 pmid: 25948709
[24]	Pan Y B. Databasing molecular identities of sugarcane (Saccharum spp.) clones constructed with microsatellite (SSR) DNA markers. Am J Plant Sci, 2010, 1: 87-94. doi: 10.4236/ajps.2010.12011
[25]	Creste S, Accoroni K A G, Pinto L R, Vencovsk R, Gimenes M A, Xavier M A, Landell M G A. Genetic variability among sugarcane genotypes based on polymorphisms in sucrose metabolism and drought tolerance genes. Euphytica, 2010, 172: 435-446. doi: 10.1007/s10681-009-0078-2
[26]	李旭娟, 徐超华, 刘洪博, 林秀琴, 马丽, 刘新龙. 中国十倍体割手密资源抗逆功能标记的遗传多样性分析. 西北植物学报, 2014, 34: 1540-1548.
	Li X J, Xu C H, Liu H B, Lin X Q, Ma L, Liu X L. Genetic diversity of decaploid Saccharum spontaneum L. in China according to functional markers related stress tolerance. Acta Bot Boreali-Occident Sin, 2014, 34: 1540-1548 (in Chinese with English abstract).
[27]	Liu K, Muse S V. PowerMaker: an integrated analysis environment for genetic maker analysis. Bioinformatics, 2005, 21: 2128-2129. doi: 10.1093/bioinformatics/bti282
[28]	Pritchard J K, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics, 2000, 155: 945-959. doi: 10.1093/genetics/155.2.945 pmid: 10835412
[29]	Kopelman N M, Mayzel J, Jakobsson M, Rosenberg N A, Mayrose I. Clumpak: a program for identifying clustering modes and packaging population structure inferences across K. Mol Ecol Resour, 2015, 15: 1179-1191. doi: 10.1111/1755-0998.12387 pmid: 25684545
[30]	Rosenberg N A. Admixture models and the breeding systems of H. S. Jennings: a GENETICS connection. Genetics, 2016, 202: 9-13. doi: 10.1534/genetics.115.181057 pmid: 26733663
[31]	Bradbury P J, Zhang Z, Kroon D E, Casstevens T M, Ramdoss Y, Buckler E S. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics, 2007, 23: 2633-2635. doi: 10.1093/bioinformatics/btm308 pmid: 17586829
[32]	文自翔, 赵团结, 郑永战, 刘顺湖, 王春娥, 王芳, 盖钧镒. 中国栽培和野生大豆农艺及品质性状与SSR标记的关联分析: II.优异等位变异的发掘. 作物学报, 2008, 34: 1339-1349. doi: 10.3724/SP.J.1006.2008.01339
	Wen Z X, Zhao T J, Zheng Y Z, Liu S H, Wang C E, Wang F, Gai J Y. Association analysis of agronomic and quality traits with SSR markers in Glycine max and Glycine soja in China: II. Exploration of elite alleles. Acta Agron Sin, 2008, 34: 1339-1349 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2008.01339
[33]	Zhang Z W, Ersoz E, Lai C Q, Todhenter R J, Tiwari H K, Gore M A, Bradbury P J, Yu J M, Arnett D K, Ordovas J M, Buckler E S. Mixed linear model approach adapted for genome-wide association studies. Nat Genet, 2010, 4: 355-360. doi: 10.1038/ni908
[34]	陈旭, 郝雅琼, 聂兴华, 杨海莹, 刘松, 王雪峰, 曹庆芹, 秦岭, 邢宇. 板栗总苞和坚果主要性状与SSR标记的关联分析. 中国农业科学, 2022, 55: 2613-2628. doi: 10.3864/j.issn.0578-1752.2022.13.011
	Chen X, Hao Y Q, Nie X H, Yang H Y, Liu S, Wang X F, Cao Q Q, Qin L, Xing Y. Association analysis of main characteristics of bur and nut with SSR markers in Chinese chestnut. Sci Agric Sin, 2022, 55: 2613-2628 (in Chinese with English abstract). doi: 10.3864/j.issn.0578-1752.2022.13.011
[35]	钱能. 陆地棉遗传多样性与育种目标性状基因(QTL)的关联分析. 南京农业大学博士学位论文, 江苏南京, 2009.
	Qian N. Genetic Diversity and Association Analysis of Gene (QTL) of Breeding Target Traits of Upland Cotton. PhD Dissertation of Nanjing Agricultural University, Nanjing, Jiangsu, China, 2015 (in Chinese with English abstract).
[36]	Botstein D, White R L, Skolnick M, Davis R W. Construction of a genetic linkage map in man using restriction fragment length polymorphism. Am J Human Genet, 1980, 32: 314-331.
[37]	周长军. 大豆有性杂交F₂产量性状的遗传力分析. 黑龙江农业科学, 2006, (6): 14-15.
	Zhou C J. The heritability analysis and genetic correlation for yield traits in hybridization F₂ generation of soybean. Heilongjiang Agric Sci, 2006, (6): 14-15 (in Chinese with English abstract).
[38]	徐志军, 孔冉, 苏俊波, 周峰, 张垂明, 吴小丽, 刘洋. 甘蔗F₁群体构建及主要农艺性状遗传变异分析. 热带作物学报, 2021, 42: 333-338.
	Xu Z J, Kong R, Su J B, Zhou F, Zhang C M, Wu X L, Liu Y. Construction of sugarcane F₁ population and main agronomic traits genetic variation analysis. Chin J Trop Crops, 2021, 42: 333-338 (in Chinese with English abstract).
[39]	杨昆, 赵培方, 赵俊, 夏红明, 昝逢刚, 吴转娣, 吴才文, 陈学宽, 刘家勇. 甘蔗家系经济性状遗传变异分析及综合选择. 热带作物学报, 2016, 37: 213-219.
	Yang K, Zhao P F, Zhao J, Xia H M, Zan F G, Wu Z D, Wu C W, Chen X K, Liu J Y. Genetic variation of main economic traits and combined selection in sugarcane families. Chin J Trop Crops, 2016, 37: 213-219 (in Chinese with English abstract).
[40]	盛志廉, 陈瑶生. 数量遗传学. 北京: 科学出版社, 1999. pp 42-290.
	Sheng Z L, Chen Y S. Quantitative Genetics. Beijing: Science Press, 1999. pp 42-290 (in Chinese)
[41]	单保山. 遗传力的概念及其发展: I. 关于传统遗传力的几个问题. 河北农业大学学报, 1988, 11(1): 39-44.
	Shan B S. The concept of heritability and its development: I. Some views on heritability. J Hebei Agric Univ, 1988, 11(1): 39-44 (in Chinese with English abstract).
[42]	Ukoskit K, Posudsavang G, Pongsiripat N, Chatwachirawong P, Klomsa-ard P, Poomipant P, Tragoonrung S. Detection and validation of EST-SSR markers associated with sugar-related raits in sugarcane using linkage and association mapping. Genomics, 2018, 111: 1-9. doi: 10.1016/j.ygeno.2018.03.019
[43]	张力岚, 张列梅, 牛焕颖, 徐益, 李玉, 祁建民, 陶爱芬, 方平平, 张立武. 黄麻SSR标记与纤维产量性状的相关性. 作物学报, 2020, 46: 1905-1913. doi: 10.3724/SP.J.1006.2020.04035
	Zhang L L, Zhang L M, Niu H Y, Xu Y, Li Y, Qi J M, Tao A F, Fang P P, Zhang L W. Correlation between SSR markers and fiber yield related traits in jute (Corchorus spp.). Acta Agron Sin, 2020, 46: 1905-1913 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2020.04035
[44]	Karrakman A T, Nikes R E, Berg P M, Stam P, Eeuwijk F A. Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars. Genetics, 2004, 168: 435-446. doi: 10.1534/genetics.104.026831 pmid: 15454555
[45]	刘其宝, 李黎贝, 张驰, 宿俊吉, 魏恒玲, 王寒涛, 喻树迅. 陆地棉叶片叶绿素含量与SSR标记的关联分析及优异等位变异的挖掘. 中国农业科学, 2017, 50: 3439-3449. doi: 10.3864/j.issn.0578-1752.2017.18.001
	Liu Q B, Li L B, Zhang C, Su J J, Wei H L, Wang H T, Yu S X. Association analysis of leaf chlorophyll content with SSR markers and exploration of superior alleles in upland cotton. Sci Agric Sin, 2017, 50: 3439-3449 (in Chinese with English abstract). doi: 10.3864/j.issn.0578-1752.2017.18.001
[46]	Abbasi Z, Majidi M M, Arzani A, Rajabi A, Mashayekhi P, Bocianowski J. Association of SSR markers and morphophysiological traits associated with salinity tolerance in sugar beet (Beta vulgaris L.). Euphytica, 2015, 205: 785-797. doi: 10.1007/s10681-015-1408-1
[47]	张允演, 刘福业, 杨俊贤, 吴文龙, 黄振豪, 潘方胤, 陈月桂. 特早熟高糖甘蔗新品种粤糖00-236的选育. 中国糖料, 2007, (1): 5-7.
	Zhang Y F, Liu F Y, Yang J X, Wu W L, Huang Z H, Pan F Y, Chen Y G. Breeding of very precocious and high sugar content sugarcane variety YT00-236. Sugar Crops China, 2007, (1): 5-7 (in Chinese with English abstract).
[48]	夏红明, 赵培方, 刘家勇, 赵俊, 昝逢刚, 陈学宽, 杨昆, 杨洪昌, 姚丽, 赵丽萍, 吴转娣, 覃伟, 吴才文. 早熟高糖甘蔗新品种云蔗081609的选育. 中国糖料, 2018, 40(5): 6-9.
	Xia H M, Zhao P F, Liu J Y, Zhao J, Zan F G, Chen X K, Yang K, Yang H C, Yao L, Zhao L P, Wu Z D, Qin W, Wu C W. Breeding of new sugarcane variety Yunzhe 081609 with early maturing and high sucrose content. Sugar Crops China, 2018, 40(5): 6-9 (in Chinese with English abstract).
[49]	Zhao P F, Xia H M, Liu J Y, Wu C W, Zhao J, Yang K, Zan F G, Chen X K, Li J, Yao L, Yang H C, Qin W, Zhao L P, Wu Z D. Registration of ‘YZ081609’ sugarcane. J Plant Regist, 2019, 13: 362-367. doi: 10.3198/jpr2018.10.0068crc
[50]	张远福, 幸新妹, 郭承芸, 刘春平, 刘春红. 全国甘蔗新品种比较. 安徽农业科学, 2011, 39: 22283-22285.
	Zhang Y F, Xing X M, Guo C Y, Liu C P, Liu C H. Comparison of new varieties of sugarcane in China. J Anhui Agric Sci, 2011, 39: 22283-22285 (in Chinese with English abstract).

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

性状 Trait	变异来源 Source of variation	自由度 DF	总方差 SS	均方 MS	P值 P-value	广义遗传力 Broad-sense heritability
株高 PH	基因型 Genotype	61	525,860.4	8620.7	<0.001	0.68
	环境 Environment	3	595,918.2	198,639.4	<0.001
	基因型×环境 Genotype×Environment	183	321,306.8	1755.8	<0.001
茎径SD	基因型 Genotype	61	38.695,76	0.634,36	<0.001	0.76
	环境 Environment	3	132.009,44	44.003,15	<0.001
	基因型×环境 Genotype×Environment	183	13.438,21	0.073,43	<0.001
锤度Brix	基因型 Genotype	61	1383.048	22.673	<0.001	0.72
	环境 Environment	3	386.028	128.676	<0.001
	基因型×环境 Genotype×Environment	183	1007.080	5.503	<0.001

性状 Trait	种植环境 Planting environment	平均值±标准差 Mean±SD	最大值 Maximum	最小值 Minimum	变异系数 CV (%)	偏度 Skewness	峰度 Kurtosis
株高 PH (cm)	FP_ND	263.48±28.25	324.73	197.60	10.72	-0.29	-0.41
	FP_NM	264.40±28.63	330.44	205.00	10.83	0.10	-0.23
	BP_RW	217.03±43.18	337.83	140.42	19.89	0.43	0.24
	BP_DS	200.74±34.38	289.58	131.67	17.13	0.02	-0.51
茎径 SD (cm)	FP_ND	2.50±0.34	3.44	1.67	13.64	0.06	0.05
	FP_NM	2.39±0.28	3.28	1.00	11.91	-0.38	1.76
	BP_RW	1.58±0.23	2.00	0.89	14.89	-0.15	-0.65
	BP_DS	1.62±0.21	2.06	1.11	12.98	-0.23	-0.32
锤度 Brix (%)	FP_ND	18.38±2.11	20.97	12.27	12.11	-1.49	1.89
	FP_NM	18.95±1.27	22.21	15.56	6.73	0.05	0.13
	BP_RW	17.97±1.92	22.42	13.93	10.71	0.19	-0.20
	BP_DS	18.68±1.88	23.02	15.56	10.04	0.41	-0.55

标记名称 Marker name	等位基因数 Alleles number	主要等位基因频率 Major allele frequency	多态性信息含量 PIC	基因多样性 Gene diversity
SMC334BS	9	0.3952	0.6605	0.7072
SMC336BS	9	0.2984	0.8129	0.8318
mSSCIR74	4	0.5000	0.5144	0.5951
mSSCIR3	7	0.2500	0.7961	0.8210
mSSCIR43	7	0.3790	0.6860	0.7288
SMC703BS	5	0.4435	0.6457	0.6951
SMC31CUQ	8	0.3387	0.7499	0.7802
SMC22DUQ	4	0.4435	0.5888	0.6554
SCB174	7	0.3145	0.7217	0.7607
SCB190	4	0.4194	0.6440	0.6976
DBF/Arb1	5	0.4194	0.6198	0.6778
DBF/Arb2	3	0.4758	0.4758	0.5704
DBF/Arb3	4	0.4919	0.4099	0.5235
Aqua/Arb1	2	0.5081	0.3749	0.4999
Aqua/Arb3	3	0.4355	0.5586	0.6353
SMC851MS	5	0.4113	0.6032	0.6645
SMC119CG	5	0.3387	0.6738	0.7248
SMC18SA	5	0.4113	0.6727	0.7172
SMC486CG	5	0.4435	0.6100	0.6700
SMC24DUQ	5	0.3145	0.7004	0.7453
SMC278CS	9	0.2661	0.8165	0.8362
SMC1604SA	5	0.5242	0.4876	0.5725
SMC7CUQ	4	0.5000	0.5599	0.6281
SMC1751CL	4	0.4194	0.5776	0.6457
SMC569CS	5	0.5242	0.5942	0.6424
SMC597CS	9	0.2500	0.7860	0.8124
mSSCIR66	5	0.3629	0.7107	0.7500
SMC36BUQ	5	0.3306	0.6590	0.7133
mSSCIR36	5	0.4677	0.6118	0.6677
SMC1825	4	0.5565	0.5665	0.6158
mSSCIR56	6	0.2984	0.7667	0.7964
SMC219	6	0.3710	0.6650	0.7158
SMC1752	5	0.4677	0.5913	0.6539
mSSCIR52	9	0.2500	0.8319	0.8490
IISR17b	4	0.3871	0.6698	0.7196
IISR111	3	0.4919	0.5528	0.6250
IISR306	10	0.2742	0.7918	0.8149
平均值 Mean	5.5135	0.4151	0.6252	0.6779

性状 Traits	关联位点个数 No. of associated loci	同时在2个及以上环境下检测到的位点数 No. of associated loci under two or more environments	表型变异解释率范围 Range of R² (%)
株高Plant height	6	1	10.57-14.95
茎径Stem diameter	7	4	5.04-26.29
锤度Brix	7	2	16.90-27.98

性状 Traits	标记 SSR markers	大田种植-南多 FP_ND	大田种植-弄门 FP_NM	桶栽-正常浇水 BP_RW	桶栽-干旱胁迫 BP_DS
株高 PH	SCB190	-	-	14.95^**	10.57^*
茎径 SD	DBF/Arb1	15.18^*	20.69^*	16.37^*	-
	SMC486CG	14.72^**	26.29^**	-	13.47^**
	SMC1752	-	21.56^**	12.40^*	-
	IISR306	-	25.36^**	-	5.04^*
锤度 Brix	SMC851MS	16.90^*	24.15^*	-	-
锤度 Brix	SMC119CG	27.98^**	-	-	26.50^*

甘蔗3个育种性状与SSR标记的关联分析及优异等位变异发掘

Association analysis of three breeding traits with SSR markers and exploration of elite alleles in sugarcane

RichHTML

PDF

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 50

相关文章 15

Metrics

本文评价

推荐阅读 0

关于本刊

在线期刊

作者中心

相关单位

联系我们

性状 Trait	位点_等位变异 Locus_allele	表型效应Phenotypic effect of allele
性状 Trait	位点_等位变异 Locus_allele	FP_ND	FP_NM	BP_RW	BP_DS
株高 PH (cm)	SCB190_247 bp	-	-	-4.16	-2.81
	SCB190_250 bp	-	-	-7.64	-7.50
	SCB190_253 bp	-	-	-4.03	-1.59
	SCB190_259 bp	-	-	-0.16	-3.66
	SCB190_263 bp	-	-	+0.10	+2.02
茎径 SD (cm)	DBF/Arb1_217 bp	+0.01	+0.02	+0.07	-
	DBF/Arb1_221 bp	+0.01	-0.01	+0.03	-
	DBF/Arb1_222 bp	-0.01	-0.02	+0.02	-
	SMC486CG_222 bp	+0.06	+0.06	-	+0.06
	SMC486CG_232 bp	+0.02	+0.02	-	+0.01
	SMC486CG_234 bp	-0.01	-0.01	-	-0.01
	SMC486CG_236 bp	-0.07	-0.07	-	-0.06
	SMC486CG_237 bp	-0.03	-0.06	-	-0.04
	SMC486CG_238 bp	-0.18	-0.11	-	-0.09
	SMC486CG_242 bp	-0.09	+0.03	-	-0.02
	SMC1752_135 bp	-	+0.02	-0.02	-
	SMC1752_136 bp	-	-0.01	+0.01	-
	SMC1752_138 bp	-	+0.01	-0.01	-
	SMC1752_139 bp	-	-0.02	-0.03	-
	IISR306_133 bp	-	-0.16	-	-0.91
	IISR306_134 bp	-	-0.13	-	-0.92
	IISR306_138 bp	-	-0.01	-	-0.75
	IISR306_139 bp	-	+0.15	-	-0.75
	IISR306_141 bp	-	+0.04	-	-0.75
	IISR306_142 bp	-	+0.04	-	-0.75
	IISR306_143 bp	-	+1.04	-	-0.73
	IISR306_144 bp	-	+2.04	-	-0.73
锤度 Brix (%)	SMC851MS_129 bp	-0.11	-0.08	-	-
	SMC851MS_131 bp	-0.07	-0.09	-	-
	SMC851MS_132 bp	-0.16	+0.11	-	-
	SMC851MS_133 bp	+0.04	+0.01	-	-
	SMC851MS_134 bp	+0.22	+0.04	-	-
	SMC851MS_137 bp	-0.16	-0.26	-	-
	SMC119CG_110 bp	+0.44	-	-	-0.09
	SMC119CG_116 bp	+0.40	-	-	+0.20
	SMC119CG_122 bp	+0.01	-	-	+0.51
	SMC119CG_125 bp	-5.27	-	-	-0.68
	SMC119CG_132 bp	-0.31	-	-	+0.12

[1]	崔致远, 秦晨展, 刘星雨, 张海, 曾康, 黄国强, 徐景升. 甘蔗类四跨膜蛋白ScTSPAN18与6K2互作应答SCMV侵染研究[J]. 作物学报, 2026, 52(6): 1618-1630.
[2]	习千辉, 徐梓瑗, 刘梦梦, 王宏艺, 郎凯琳, 井震海, 陈锋, 赵磊. 小麦籽粒铜含量的全基因组关联分析及候选基因预测[J]. 作物学报, 2026, 52(6): 1604-1617.
[3]	毛嘉琦, 黄朋雨, 赵佳佳, 郑兴卫, 武棒棒, 郝宇琼, 屈非, 刘成, 马朋涛, 郑军. 山西小麦品种白粉病抗性评价及抗病基因分子检测[J]. 作物学报, 2026, 52(6): 1669-1681.
[4]	唐宽强, 李公允, 宋美毅, 赵雪, 常春玲. 大豆株高性状全基因组关联分析及预测模型构建[J]. 作物学报, 2026, 52(6): 1743-1756.
[5]	杨欣雨, 崔文涛, 迪力尼格尔·阿力木, 汪凯翔, 吴鹏昊, 任姣姣. 玉米穗上叶片数全基因组关联分析和全基因组选择[J]. 作物学报, 2026, 52(5): 1573-1590.
[6]	闫安, 蒋昆炜, 王蓉圆, 田林, 张璐, 王韵, 徐建龙. 水稻剑叶小维管束数基因SVN7的鉴定与克隆[J]. 作物学报, 2026, 52(5): 1364-1372.
[7]	张颖星, 宋裕祯, 王跃, 曹越, 曹晓宁, 王瑞云. EMS诱导糜子优异性状突变体的筛选及表型分析[J]. 作物学报, 2026, 52(5): 1388-1400.
[8]	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.
[9]	杨宗桃, 杨婷, 王禹童, 艾静, 李燕烨, 刘家勇, 邓军, 赵勇, 张跃彬. 甘蔗CLC基因家族鉴定与表达分析[J]. 作物学报, 2026, 52(3): 722-734.
[10]	张超, 郭欢, 李忠玲, 岳淑宁, 赵娜. 基于BSA-seq技术定位玉米籽粒花青素关联基因[J]. 作物学报, 2026, 52(3): 780-789.
[11]	鲁雅妮, 丁超杰, 张煜, 杜习军, 齐学礼, 胡琳, 许为钢. 河南省200份小麦品种苗期茎基腐病抗性鉴定与全基因组关联分析[J]. 作物学报, 2026, 52(2): 363-375.
[12]	李诗晴, 王茜, 王素华, 张耀文, 王丽侠. 绿豆种质资源苗期耐盐性鉴定及相关基因发掘[J]. 作物学报, 2026, 52(2): 376-388.
[13]	李璐琪, 程宇坤, 白斌, 雷斌, 耿洪伟. 小麦叶片气孔相关性状全基因组关联分析[J]. 作物学报, 2025, 51(9): 2266-2284.
[14]	李云香, 郭千纤, 侯万伟, 张小娟. 引进ICARDA小麦苗期根系抗旱性状的全基因组关联分析[J]. 作物学报, 2025, 51(9): 2387-2398.
[15]	蔡金珊, 李超男, 王景一, 李宁, 柳玉平, 景蕊莲, 李龙, 孙黛珍. 小麦幼苗根系性状全基因组关联分析及TaSRL-3B优异等位基因发掘[J]. 作物学报, 2025, 51(8): 2020-2032.