Genetic Analysis and Related Molecular Markers of Flowering Time in Brassica napus L.

doi:10.7668/hbnxb.201751611

Abstract

Abstract: In order to further clarify the inheritance of flowering time of Brassica napus L., and guide the breeding of early maturing varieties, the late flowering YG-1 and the early flowering 72-27-1-2 of Brassica napus L. were used as parents to constructed 6 generations of genetic populations(P₁, P₂, F₁, B₁, B₂ and F₂), which were planted in Yangling and Sanyuan. The flowering time of individual plants from the 6 populations was recorded, and the genetic analysis was conducted by main gene+polygene genetic model of plant quantitative traits. Based on SSR molecular marker technology, the F₂ population was used to develop the molecular markers related to flowering time of rapeseed. The results showed that the optimal genetic model for flowering time was E-0(2 pairs of additive-dominant-epistatic major gene+additive-dominant-epistatic polygene model) and E-1(2 pairs of additive-dominant-epistatic major gene+additive-dominant polygene model) in Yangling and Sanyuan, respectively. The major gene heritability of flowering time in separating generations B₁, B₂ and F₂ was 57.12%, 79.44% and 66.37% for Yangling, and 54.51%, 65.43% and 43.21% for Sanyuan, respectively. The polygenic heritability was 33.80%, 8.47% and 25.62% for Yangling, and 25.42%, 4.70% and 37.65% for Sanyuan, respectively. The variation caused by environmental factors in Yangling and Sanyuan was 9.73% and 23.03%, respectively. The genetic rates of main genes in the isolating generations(especially B₂ generation) were significantly greater than those of corresponding polygenes, indicating that the flowering time of Brassica napus L. was mainly controlled by two pairs of major genes, which was effective for selection of ideal flowering time in early generations. However the effects of multiple genes and environmental factors should also be considered. Seven SSR molecular markers related to flowering time sites were obtained, their relationships being significant or extremely significant. The labeled primer sequences were blasted in the genome data of Brassica napus, showing that BrgMS351 and BnGMS148 were located on A7, while cnu_m157a, BnGMS256-1, BnGMS256-2, BnGMS327 and BnGMS370-2 were located on A9. The results suggested that the flowering-related loci might be located on A7 and A9, controlled by two QTLs, which were consistent with the results of genetic analysis of quantitative model that flowering time was controlled by two pairs of major genes.

Key words: Brassica napus L., Flowering time, Mixed inheritance modal, Genetic analysis, Molecular markers

CLC Number:

S635.03

ZHANG Bingbing, LIU Xia, QIN Mengfan, LIANG Fenghao, ZHANG Yan, ZUO Kaifeng, GUO Na, MA Ning, HUANG Zhen, XU Aixia. Genetic Analysis and Related Molecular Markers of Flowering Time in Brassica napus L.[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2019, 34(6): 39-46. doi: 10.7668/hbnxb.201751611.

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References

[1] 艾育芳.早晚熟油菜成花机理的初步研究[D].福州:福建农林大学, 2011.doi.10.7666/d.y1878867.
Ai Y F. Preliminary study on flowering mechanism of early and late maturing of oilseed rape (Brassica napus L.)[D]. Fuzhou:Fujian Agriculture and Forestry University, 2011.
[2] 郭志刚.数量性状主基因+多基因混合遗传模型的应用研究[D].南京:南京农业大学, 1998.doi:10.7666/d.Y289512.
Guo Z G. Applied research on the main gene+multi-gene mixed genetic model of quantitative traits[D]. Nanjing:Nanjing Agricultural University, 1998.
[3] 蔡长春.甘蓝型油菜开花时间和光周期敏感性的遗传分析和QTL定位[D].武汉:华中农业大学, 2006.doi:10.7666/d.y1198714.
Cai C C. Genetic analysis and QTL mapping of days to flowering and photoperiod sensitivity inBrassica napus L.[D]. Wuhan:Huazhong Agricultral University, 2006.
[4] 罗玉秀,罗春燕.春性甘蓝型油菜开花时间的遗传分析[J].北方园艺, 2015,39(19):1-6. doi:10.11937/bfyy.201519001.
Luo Y X, Luo C Y. Genetic analysis of flowering time in spring rape (B.napus L.)[J]. Northern Horticulture, 2015,39(19):1-6.
[5] 石鹏. TN DH群体高密度遗传图谱构建及其控制重要农艺性状QTL的再定位[D].武汉:华中农业大学, 2013.doi:10.7666/dY2394317.
Shi P. High-density genetic map construction and QTL mapping of important agronomic traits in TN DH population[D]. Wuhan:Huazhong Agricultral University, 2013.
[6] Raman H, Raman R, Eckermann P, Coombes N, Manoli S,Zou X X, Edwards D, Meng J L, Prangnell R, Stiller J, Batley J, Luckett D, Wratten N, Dennis E. Genetic and physical mapping of flowering time loci in canola (Brassica napusL.)[J]. Theor Appl Genet, 2013, 126(1):119-132.doi:10.1007/s00122-012-1966-8.
[7] 傅鹰.甘蓝型油菜重要农艺性状的QTL定位以及相关基因的克隆[D].重庆:西南大学, 2014.
Fu Y. Mapping QTL for important agronomic traits and cloning relative genes in Brassica napus[D]. Chongqing:Southwest University, 2014.
[8] 柳海东.春性甘蓝型油菜遗传连锁图谱构建及开花时间的QTL定位分析[D].西宁:青海大学, 2015.
Liu H D. Construction of genetic linkage map and identification of quantitative trait loci (QTL) for days to flowering in spring rapeseed (Brassica napus L.)[D]. Xining:Qinghai University, 2015.
[9] 伍晓明,陈碧云,陆远.油菜种质资源描述规范和数据标准[M].北京:中国农业出版社, 2007:51.
Wu X M, Chen B Y, Lu Y. Description and data standards for rape germplasm resources[M]. Beijing:China Agriculture Press, 2007:51.
[10] Wang X W, Lou P, Bonnema G, Yang B J, He H J, Zhang Y G, Fang Z Y. Linkage mapping of a dominant male sterility gene Ms-cd1 in Brassica oleracea[J]. Genome, 2005, 48(5):848-854. doi:10.1139/g05-044.
[11] 陆光远,杨光圣,傅廷栋.应用于油菜研究的简便银染AFLP标记技术的构建[J].华中农业大学学报, 2001, 20(5):413-415. doi:10.3321/j.issn:1000-2421.2001.05.002.
Lu G Y, Yang G S, Fu T D. Silver-stained AFLP-A novel assay for DNA fingerprinting in Brassica napus[J]. Journal of Huazhong Agricultural University, 2001, 20(5):413-415.
[12] 张发.花生(Arachis hypogaea L.)新种质04D893变异性状遗传分析及其相关基因的SSR分子标记[D].泰安:山东农业大学, 2008.doi:10.7666/d.y1374587.
Zhang F. Genetic analysis on mutative traits of peanut (Arachis hypogaea L.) new germplasm 04D893 and screeing of SSR molecular markers of its related genes[D].Taian:Shandong Agricultural University, 2008.
[13] 张国范,刘晓,阙华勇,缪锋.贝类杂交及杂种优势理论和技术研究进展[J].海洋科学, 2004, 28(7):54-60. doi:10.3969/j.issn.1000-3096.2004.07.013.
Zhang G F, Liu X, Que H Y, Miao F. The theory and application of hybridization and heterosis in marine mollusks[J]. Marine Science, 2004, 28(7):54-60.
[14] 盖钧镒.植物数量性状遗传体系的分离分析方法研究[J].遗传, 2005, 27(1):130-136. doi:10.16288/j.yczz.2005.01.023. G J Y. Segregation analysis of genetic system of quantitative traits in plants[J]. Hereditas, 2005, 27(1):130-136.
[15] 李洪戈,张丽萍,伍晓明.甘蓝型油菜茎秆强度性状的主基因+多基因遗传分析[J].中国油料作物学报, 2018, 40(1):10-17. doi:10.7505/j.issn.1007-9084.2018.01.002. Li H G, Zhang L P, Wu X M. Genetics of stem strength in Brassica napus in mixed model of major gene and polygene.[J]. Chinese Journal of Oil Crop Sciences, 2018, 40(1):10-17.
[16] 刘霞,张冰冰,马兵,赵娜,田正书,秦梦凡,王阳,郎丽娜,刘亚萍,黄镇,徐爱遐.甘蓝型油菜株高及其相关性状的主基因+多基因遗传分析[J].西北农业学报, 2018, 27(4):528-536. doi:10.7606/j.issn.1004-1389.2018.04.009.
Liu X, Zhang B B, Ma B, Zhao N, Tian Z S,Qin M F, Wang Y, Lang L N, Liu Y P, Huang Z, Xu A X. Mixed major gene plus poly-gene genetic analysis of plant height and its related traits in Brassica napus L.[J]. Acta Agriculturae Boreali-occidentalis Sinica, 2018, 27(4):528-536.
[17] 汪文祥,胡琼,梅德圣,李云昌,周日金,王会,成洪涛,付丽,刘佳.甘蓝型油菜分枝角度主基因+多基因混合遗传模型及遗传效应[J].作物学报, 2016, 42(8):1103-1111. doi:10.3724/SP.J.1006.2016.01103.
Wang W X, Hu Q, Mei D S, Li Y C, Zhou R J, Wang H, Cheng H T, Fu L, Liu J. Genetic effects of branch angle using mixture model of major gene plus polygene in Brassica napus L.[J]. Acta Agronomica Sinica, 2016, 42(8):1103-1111.
[18] 周清元,崔翠,阴涛,陈东亮,张正圣,李加纳.甘蓝型油菜角果长度的主基因+多基因混合遗传模型[J].作物学报, 2014, 40(8):1493-1500. doi:10.3724/SP.J.1006.2014.01493.
Zhou Q Y, Cui C, Yin T, Chen D L, Zhang Z S, Li J N. Genetic analysis of silique length using mixture model of major gene plus polygene in Brassica napus L.[J].Acta Agronomica Sinica, 2014, 40(8):1493-1500.
[19] 邹小云,官春云.甘蓝型油菜氮素营养效率的遗传效应分析[J].分子植物育种,2018, 16(10):3269-3277. doi:10.13271/j.mpb.016.003269.
Zou X Y, Guan C Y. Genetic effect analysis of nitrogen nutrition efficiency in Brassica napus L.[J]. Molecular Plant Breeding, 2018, 16(10):3269-3277.
[20] 曹齐卫,张允楠,王永强,杨桂兰,孙小镭,李利斌.黄瓜节间长的主基因+多基因混合遗传模型分析[J].农业生物技术学报, 2018, 26(2):205-212.doi:10.3969/j.issn.1674-7968.2018.02.003.
Cao Q W, Zhang Y N, Wang Y Q, Yang G L, Sun X L, Li L B. Genetic analysis of internode length using mixed major-gene plus polygene inheritance model in Cucumis sativus[J]. Journal of Agricultural Biotechnology, 2018, 26(2):205-212.
[21] 化青春,赵利,王利民,赵玮,党照,张建平,党占海.胡麻粗脂肪含量的主基因+多基因遗传分析[J].西北农林科技大学学报(自然科学版), 2016, 4(11):84-96. doi:10.13207/j.cnki.jnwafu.2016.11.012.
Hua Q C, Zhao L, Wang L M, Zhao W, Dang Z, Zhang J P, Dang Z H. Major gene plus polygenic inheritance analysis of crude fat content in oil flax (Linmu usitatissimum L.)[J]. Journal of Northwest A&F University (Natural Science Edition), 2016, 4(11):84-96.
[22] 李延玲,白晓倩,于澎湃,高建明,裴忠有,罗峰,孙守钧.高粱株型性状数量遗传分析[J].华北农学报, 2018, 33(1):143-149. doi:10.7668/hbnxb.2018.01.022.
Li Y L, Bai X Q, Yu P P, Gao J M, Pei Z Y, Luo F, Sun S J. Quantitative genetic analysis of sorghum plant type characters[J]. Acta Agriculturae Boreali-Sinica, 2018, 33(1):143-149.
[23] 杨信程,苏江硕,吴洋洋,张飞,管志勇,陈发棣,房伟民.切花小菊主要分枝性状的混合遗传分析[J].南京农业大学学报, 2018, 41(3):440-446. doi:10.7685/jnau.201705040.
Yang X C, Su J S, Wu Y Y, Zhang F, Guan Z Y, Chen F L, Fang W M. Mixed inheritance analysis of branching traits in spray cut chrysanthemum[J]. Journal of Nanjing Agricultural University, 2018, 41(3):440-446.
[24] 朱晓东,耿波,李娇,孙孝文.利用30个微卫星标记分析长江中下游鲢群体的遗传多样性[J].遗传, 2007, 29(6):705-713. doi:10.1360/yc-007-0705.
Zhu X D, Geng B, Li J, Sun X W. Analysis of genetic diversity among silver carp populations in the middle and lower yangtse river using thirty microsatellite markers[J]. Hereditas, 2007, 29(6):705-713.
[25] Butruille D V, Guries R P, Osborn T C. Linkage analysis of molecular markers and quantitative trait loci in populations of inbred backcross lines in Brassica napus L.[J]. Genetics, 1999, 153(2):949-964.
[26] Lou P, Xie Q, Xu X, Edwards C E, Brock M T, Weinig C, McClung C R. Genetic architecture of the circadian clock and flowering time in Brassica rape[J]. Theor Appl Genet, 2011, 123(3):397-409. doi:10.1007/s00122-011-1592-x.

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