饲用型小黑麦遗传图谱构建及草产量相关性状QTLs初步定位

doi:10.11733/j.issn.1007-0435.2019.01.028

草地学报 ›› 2019, Vol. 27 ›› Issue (1): 219-226.DOI: 10.11733/j.issn.1007-0435.2019.01.028

饲用型小黑麦遗传图谱构建及草产量相关性状QTLs初步定位

刘晶, 赵方媛, 李冬梅, 李雪, 田新会, 杜文华

甘肃农业大学草业学院/草业生态系统教育部重点实验室/甘肃省草业工程实验室/中-美草地畜牧业可持续发展研究中心, 甘肃兰州 730070

收稿日期:2018-10-09 修回日期:2019-01-26 出版日期:2019-02-15 发布日期:2019-04-13
通讯作者: 杜文华,E-mail:duwh@gsau.edu.cn
作者简介:刘晶,女,山西平陆人,博士研究生,主要从事种质资源及育种栽培研究,E-mail:654138133@qq.com
基金资助:
国家自然科学基金项目（31760702，31360577）；甘肃省草地畜牧业可持续发展创新团队项目（2017C-11）；国家重点研发计划（2018YFD0502402-3）；西藏饲草产业专项（XZ201801NA02）资助

Constructions on the Linkage Genetic Map and Initial Locations on QTLs Related to the Hay Yield of Forage Triticale

LIU Jing, ZHAO Fang-yuan, LI Dong-mei, LI Xue, TIAN Xin-hui, DU Wen-hua

College of Pratacultural Science, Gansu Agricultural University/Key Laboratory of Grassland Ecosystem, (Gansu Agricultural University), Ministry of Education/Pratacultural Engineering Laboratory of Gansu Province/Sino-U. S. Centers for Grazingland Ecosystem Sustainability, Lanzhou, Gansu Province 730070, China

Received:2018-10-09 Revised:2019-01-26 Online:2019-02-15 Published:2019-04-13

摘要/Abstract

摘要：

本研究以饲用型小黑麦杂交F₂代为作图群体，利用ISSR分子标记构建了遗传连锁图谱，并对小黑麦草产量相关性状（株高，分蘖数，单株生物量）进行了QTLs定位，可为小黑麦草产量相关主效QTL挖掘、功能基因定位以及分子标记辅助育种奠定基础。结果表明：521个F₂代单株草产量相关性状的田间表型数据呈连续变异，分布频率大致接近正态分布，可用于QTLs定位。该遗传图谱包含7个连锁群，图谱总长度为542.9 cM，标记间平均距离为5.90 cM，共有92个位点。对草产量相关性状基因进行QTL定位分析，共检测到17个QTLs，分布在6个连锁群上，控制株高的QTLs有5个，贡献率为6.7%~13.2%；控制分蘖数的QTLs有7个，贡献率为5.4%~15.4%；控制单株生物量的QTLs有5个，贡献率为7.4%~12.4%。其中QPH7-2，QNT2-2和QBS2分别对小黑麦株高、分蘖数和单株生物量的贡献率最大，为主效QTLs，可对其进行进一步克隆、转化及利用。

关键词: 小黑麦, ISSR标记, 遗传图谱, 草产量相关性状, QTLs定位

Abstract:

In this study,F₂ generation derived from forage triticale hybrids were used as the mapping population,The genetic linkage map was constructed by using ISSR molecular marker and QTLs were mapped to yield-related traits (plant height,number of tillers,above ground biomass of single plant) of triticale. It could lay a foundation for main QTL mining,functional gene mapping and molecular marker-assisted breeding of triticale. The results showed that the field phenotypic data of 521 F₂ generation grass yield-related traits showed continuous variation,and the distribution frequency was close to normal distribution,which could be used for QTLs localization. The linkage map included 7 linkage groups,the total length of map was 542.9 cM,the averaged distance among markers was 5.90 cM,and there were 92 loci. QTL results showed that there were 17 QTLs related to the hay yield in triticale. These QTLs distributed on 6 linkage groups. There were 5 QTLs controlling the plant height,which contribution rate varied from 6.7% to 13.2%. There were 7 QTLs controlling the number of tillers,which contribution rate changed from 5.4% to 15.4%. There were 5 QTLs controlling the aboveground biomass of the single plant,which contribution rate varied from 7.4% to 12.4%. Among them,QPH7-2,QNT2-2 and QBS2 have the highest contribution rate to plant height,number of tillers and aboveground biomass of single plant,respectively,so they were the main QTLs,which could be further cloned,transformed and utilized.

Key words: Triticale, ISSR marker, Genetic map, Characters related to the hay yield, QTLs localization

中图分类号:

S512.4

刘晶, 赵方媛, 李冬梅, 李雪, 田新会, 杜文华. 饲用型小黑麦遗传图谱构建及草产量相关性状QTLs初步定位[J]. 草地学报, 2019, 27(1): 219-226.

LIU Jing, ZHAO Fang-yuan, LI Dong-mei, LI Xue, TIAN Xin-hui, DU Wen-hua. Constructions on the Linkage Genetic Map and Initial Locations on QTLs Related to the Hay Yield of Forage Triticale[J]. Acta Agrestia Sinica, 2019, 27(1): 219-226.

0
/ / 推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://manu40.magtech.com.cn/Jweb_cdxb/CN/10.11733/j.issn.1007-0435.2019.01.028

https://manu40.magtech.com.cn/Jweb_cdxb/CN/Y2019/V27/I1/219

参考文献

[1] 李冬梅,田新会,杜文华.5个小黑麦新品系的种子产量及产量构成因素分析[J].草地学报,2016,24(1):241-244
[2] 赵雅姣,田新会,杜文华.饲草型小黑麦在定西地区的最佳刈割期[J].草业科学,2015,32(7):1143-1149
[3] 宋谦,田新会,杜文华.甘肃省高寒牧区小黑麦新品系的生产性能[J].草业科学,2016,33(7):1367-1374
[4] 任志强,杨慧珍,卜华虎,等.诱变在作物遗传育种中的应用进展[J].中国农学通报,2016,32(33):125-129
[5] 梁翰文,吕慧颖,葛毅强,等.作物育种关键技术发展态势[J].植物遗传资源学报,2018,19(03):390-398
[6] 王忠华,朱东亮,俞超.现代育种技术在药用植物品种改良中的应用[J].科技通报,2010,26(01):88-92+119
[7] 潘玉玲.基于SSR、SRAP和ISSR丹参遗传连锁图谱构建及其农艺性状的QTL定位[D].泰安:山东农业大学,2016:27-39
[8] 汪斌,祁伟,兰涛,等.应用ISSR分子标记绘制红麻种质资源DNA指纹图谱[J].作物学报,2011,37(6):1116-1123
[9] 殷丽琴,彭云强,付绍红,等.基于ISSR标记的彩色马铃薯遗传多样性分析及指纹图谱构建[J].西南农业学报,2016,29(01):20-25
[10] 赵雅姣,田新会,杜文华.饲草型小黑麦遗传多样性的ISSR分析[J].草地学报,2017,25(03):574-581
[11] 赵方媛,李冬梅,田新会,等.饲草型小黑麦遗传图谱的构建及抗条锈QTL定位[J].农业生物技术学报,2018,26(04):576-584
[12] Brown R N,Barker R E,Wamke S E,et al.Identification of quantitative trait loci for seed traits and floral morphology in a field-grown Lolim perenne×Lolim multiflorum mapping population[J].Plant Breeding,2010,l29(l):29-34
[13] Larson S R,Mayland H F.Comparative mapping of fiber,protein,and mineral content QTLs in two interspecific Leymus wildrye full-sib families[J].Molecular Breeding,2007,20(4):331-347
[14] Robins J G,Luth D,Campbell T A,et al.Genetic mapping of biomass production in tetraploid alfalfa[J].Crop Science,2007,47(1):1-10
[15] Herrmann D,Boiler B,Studer B,et al.QTL analysis of seed yield components in red clover (Trifolium pratense L.)[J].Theoretical and? Applied? Genetics,2006,112:536-545
[16] 谢文刚.鸭茅分子遗传连锁图谱构建及开花基因定位[D].成都:四川农业大学,2013:48-71
[17] 房永雨,于肖夏,于卓,等.高丹草10个重要性状的QTL定位分析[J].西北农林科技大学学报(自然科学版),2015,43(4):26-34+43
[18] 郭海林,丁万文,陈静波,等.结缕草耐盐分离群体的构建[J].草地学报,2012,20(4):724-728+734
[19] 段清清.冰草遗传连锁图谱构建及主要农艺性状的QTL定位[D].秦皇岛:河北科技师范学院,2016:57-81
[20] Studer B,Boiler B,Bauer E,et al.Consistent detection of QTLs for crown rust resistance in Italian ryegrass (Lolium multiflorum Lam.) across environments and phenotyping methods[J].Theoretical and? Applied? Genetics,2007,115(1):9-l7
[21] Barrett B A,Baird I J,Woodfield D R.A QTL analysis of white clover seed production[J].Crop Science,2005,45:1844-1850
[22] Espinoza L C L,Julier B.QTL detection for forage quality and stem histology in four connected mapping population of the legume medicago truncatula[J].Theoretical and? Applied? Genetics,2013,126(2):497-509
[23] 李小雷.几种披碱草种间杂种F1遗传特性及冰草分子图谱构建研究[D].呼和浩特:内蒙古农业大学,2008:47-68
[24] Niedziela A,Bednarek P T,Labudda M,et al.Genetic mapping of a 7R Al tolerance QTL in triticale ((Triticosecale Wittmack)[J].Journal of Applied Genetics,2014,55(1):1
[25] Würschum T,Liu W,Busemeyer L,et al.Mapping dynamic QTL for plant height in triticale[J].Bmc Genetics,2014,15(1):59
[26] Alheit K V,Busemeyer L,Liu W,et al.Multiple-line cross QTL mapping for biomass yield and plant height in triticale (×Triticosecale Wittmack)[J].Theoretical&Applied Genetics,2014,127(1):251-60
[27] 丁芳兵,刘连芬,汤庚国,等.从苹果属腊叶标本中提取DNA的改良CTAB法研究[J].中国农学通报,2012,(16):176-179
[28] 赵雅姣.基于ISSR标记的小黑麦遗传多样性分析及在甘肃省临洮地区的生产性能研究[D].兰州:甘肃农业大学,2015:13-29
[29] Van Ooijen J,Voorrips R.JoinMap3.0 Software for Calculation of Genetic Linkage Maps[J].Wageningen:Plant Research International,2001
[30] Van Ooijen J W.Accuracy of mapping quantitative trait loci in autogamous species[J].Theoretical and Applied Genetics,1992,84:803-811
[31] 郭建文,李冬梅,田新会,等.小黑麦杂交F1代真假杂种的ISSR标记鉴定及遗传多样性分析[J].麦类作物学报,2017,37(08):1031-1037
[32] 何小红,徐辰武,蒯建敏,等.数量性状基因作图精度的主要影响因子[J].作物学报,2001,27(4):469-475
[33] 李永祥,王阳,石云素,等.玉米籽粒构型与产量性状的关系及QTL作图[J].中国农业科学,2009,42(2):408-418
[34] 龚文兵,肖扬,周雁,等.香菇产量相关性状的QTL定位[C]//中国菌物学会会员代表大会,2014:110
[35] Alheit K V,Busemeyer L,Liu W,et al.Multiple-line cross QTL mapping for biomass yield and plant height in triticale (×TriticosecaleWittmack)[J].Theoretical&Applied Genetics,2014,127(1):251-60
[36] 姜志艳.四倍体杂交冰草高密度分子巧传图谱构建及重要农芝性状QTL定位[D].呼和浩特:内蒙古农业大学,2015:4-14
[37] 苗晗,顾兴芳,张圣平,等.黄瓜果实相关性状QTL定位分析[J].中国农业科学,2011,44(24):5031-5040
[38] 张坤普,徐宪斌,田纪春.小麦籽粒产量及穗部相关性状的QTL定位[J].作物学报,2009,35(2):270-278
[39] 杨梯丰,张少红,赵均良,等.水稻耐冷QTL定位的比较分析[J].分子植物育种,2015,13(1):1-15
[40] 刘传奇,高鹏,栾非时.西瓜遗传图谱构建及果实相关性状QTL分析[J].中国农业科学,2014,47(14):2814-2829
[41] 吴春红,梁雪,李斯深,等.小麦苗期钾、钠吸收相关性状及其QTL分析[J].植物营养与肥料学报,2013,19(5):1025-1036
[42] 杨钊钊,李永祥,刘成,等.基于多个相关群体的玉米雄穗相关性状QTL分析[J].作物学报,2012,38(8):1435-1442
[43] 王培,李晓林,杨林,等.小麦单株穗数的遗传分析及基于QTL定位的最优基因型预测[J].麦类作物学报,2012,32(5):820-827
[44] 侯萌,齐照明,韩雪,等.大豆蛋白质和油分含量QTL定位及互作分析[J].中国农业科学,2014,47(13):2680-2689
[45] 王伟,叶志云,郑景生,等.稻米粒形的QTL定位及上位性和QE互作分析(英文)[J].西北植物学报,2010,30(7):1344-1350

饲用型小黑麦遗传图谱构建及草产量相关性状QTLs初步定位

Constructions on the Linkage Genetic Map and Initial Locations on QTLs Related to the Hay Yield of Forage Triticale

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	何鹏亮, 汪娅梅, 揭红东, 邓荟芬, 邢虎成, 揭雨成. 不同刈割期对饲用小黑麦草产量和营养品质的影响[J]. 草地学报, 2021, 29(11): 2609-2614.
[2]	王伟强, 刘晶, 田新会, 杜文华. 甘农4号’小黑麦品种在青海省不同区域的适应性评价[J]. 草地学报, 2020, 28(6): 1626-1634.
[3]	黄春琼, 张子雄, 王文强, 刘国道. 柱花草花粉不育基因连锁的SCAR标记研究[J]. 草地学报, 2020, 28(5): 1478-1483.
[4]	游永亮, 赵海明, 李源, 武瑞鑫, 刘贵波. 抗逆高产国审‘冀饲3号’饲用小黑麦新品种的选育[J]. 草地学报, 2020, 28(4): 1145-1152.
[5]	赵方媛, 杜文华, 田新会. 饲料型小黑麦品系的秸秆产量及其营养品质研究[J]. 草地学报, 2019, 27(4): 913-920.
[6]	任昱鑫, 刘汉成, 田新会, 杜文华. 甘南高寒牧区秋播小黑麦对氮肥施用量和播种密度的响应[J]. 草地学报, 2019, 27(4): 1044-1051.
[7]	赵方媛, 曲广鹏, 田新会, 杜文华. 饲料型小黑麦品系籽粒产量及其营养价值研究[J]. 草地学报, 2018, 26(6): 1374-1381.
[8]	陈丽霞, 田新会, 杜文华. 甘农1号小黑麦的田间抗旱性研究[J]. 草地学报, 2017, 25(5): 1079-1087.
[9]	赵雅姣, 田新会, 杜文华. 饲草型小黑麦遗传多样性的ISSR分析[J]. 草地学报, 2017, 25(3): 574-581.
[10]	张永亮, 骆秀梅, 刘鹏, 刘杨. 22份虉草种质资源遗传多样性的ISSR分析[J]. 草地学报, 2017, 25(2): 366-372.
[11]	李冬梅, 田新会, 杜文华. 小黑麦新品系的草产量及营养价值研究[J]. 草地学报, 2016, 24(6): 1164-1169.
[12]	谢楠, 赵海明, 李源, 游永亮, 李伟, 刘贵波, 刘宏彩. 饲用黑麦、小黑麦品种苗期耐盐性评价及盐胁迫下的生理响应[J]. 草地学报, 2016, 24(1): 84-92.
[13]	李冬梅, 田新会, 杜文华. 5个小黑麦新品系的种子产量及产量构成因素分析[J]. 草地学报, 2016, 24(1): 241-244.
[14]	王梦颖, 张铁军, 龙瑞才, 刘凤岐, 杨青川, 康俊梅. 四倍体紫花苜蓿遗传图谱的初步构建[J]. 草地学报, 2015, 23(6): 1247-1251.
[15]	郭红媛, 贾举庆, 吕晋慧, 翟志文, 靳艳婷, 杨武德. 燕麦属种质资源遗传多样性及遗传演化关系ISSR分析[J]. , 2014, 22(2): 344-351.