水稻茎秆细胞壁相关组分含量QTL定位及候选基因分析

doi:10.11983/CBB23100

植物学报 ›› 2023, Vol. 58 ›› Issue (6): 882-892.DOI: 10.11983/CBB23100

水稻茎秆细胞壁相关组分含量QTL定位及候选基因分析

贾绮玮¹^,^†, 钟芊芊¹^,^†, 顾育嘉¹, 陆天麒¹, 李玮¹, 杨帅¹, 朱超宇¹, 胡程翔¹, 李三峰², 王跃星²^,^*(), 饶玉春¹^,^*()

¹浙江师范大学生命科学学院, 金华 321004
²中国水稻研究所, 水稻生物育种全国重点实验室, 杭州 310006

收稿日期:2023-07-28 接受日期:2023-11-02 出版日期:2023-11-01 发布日期:2023-11-27
通讯作者: * E-mail: wangyuexing@caas.cn;ryc@zjnu.cn
作者简介:^† 共同第一作者
基金资助:
浙江省自然科学基金重点项目(LZ23C130003);浙江省大学生科技创新活动计划暨新苗人才计划(2023R404040);浙江省大学生科技创新活动计划暨新苗人才计划(2023R404041)

Mapping of QTL for Cell Wall Related Components in Rice Stem and Analysis of Candidate Genes

Qiwei Jia¹^,^†, Qianqian Zhong¹^,^†, Yujia Gu¹, Tianqi Lu¹, Wei Li¹, Shuai Yang¹, Chaoyu Zhu¹, Chengxiang Hu¹, Sanfeng Li², Yuexing Wang²^,^*(), Yuchun Rao¹^,^*()

¹College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China
²National Key Laboratory of Rice Biological Breeding, China National Rice Research Institute, Hangzhou 310006, China

Received:2023-07-28 Accepted:2023-11-02 Online:2023-11-01 Published:2023-11-27
Contact: * E-mail: wangyuexing@caas.cn;ryc@zjnu.cn
About author:^† These authors contributed equally to this paper

摘要/Abstract

摘要： 水稻(Oryza sativa)倒伏是制约其生产的主要因素之一, 而茎秆的机械强度影响水稻抗倒伏能力, 且与茎秆细胞壁相关组分含量密切相关。通过调控水稻茎秆细胞壁相关组分含量提高水稻抗倒伏能力, 是提高水稻产量与品质的有效途径。该研究用籼稻品种华占(O. sativa subsp. indica cv. ‘HZ’)和粳稻品种热研2号(O. sativa subsp. japonica cv. ‘Nekken2’)杂交获得F₁代, 经连续多代自交得到120个重组自交系(RILs)群体, 并以此构建遗传连锁图谱。基于构建的高密度遗传图谱, 对水稻茎秆细胞壁中纤维素、半纤维素和木质素含量相关QTLs进行定位, 结果共检测到4个与纤维素含量相关的QTLs、12个与半纤维素含量相关的QTLs和8个与木质素含量相关的QTLs。对检测到的QTLs区间进行候选基因分析, 共筛选到13个候选基因。利用qRT-PCR检测候选基因的表达水平, 结果表明除LOC_Os02g58590和LOC_Os12g41720外, 其余候选基因的表达量在双亲间均存在显著差异。研究结果为挖掘调控水稻茎秆机械强度的基因, 进而筛选和培育抗倒伏能力强的水稻品种奠定了重要基础。

关键词: 水稻, 茎秆机械强度, QTL定位, 候选基因, 抗倒伏

Abstract: Lodging of rice is one of the main factors reducing rice yield. The mechanical strength of stem affects lodging resistance of rice and is closely related to the content of stem cell wall related components. Improving lodging resistance of rice by regulating the related components in the cell wall of stem is an effective way to improve the yield and quality of rice. In this study, indica rice variety Huazhan (Oryza sativa subsp. indica cv. ‘HZ’) and japonica rice variety Nekken2 (O. sativa subsp. japonica cv. ‘Nekken2’) were crossed to obtain F₁ generation. A total of 120 RILs (recombinant inbred lines) population were obtained by successive multigeneration self-crossing and the genetic linkage map was constructed. Based on the constructed high-density genetic map, the QTLs related to the content of cellulose, hemicellulose, and lignin in the cell wall of rice stem were located and analyzed. The results showed that 4 QTLs related to cellulose, 12 QTLs related to hemicellulose, and 8 QTLs related to lignin. At the same time, candidate genes analyses were conducted on the detected QTLs’ intervals, and a total of 13 candidate genes were screened. The expression levels of candidate genes were detected by qRT-PCR. Except for LOC_Os02g58590 and LOC_Os12g41720, the other candidate genes showed significant differences between parents. The results laid an important foundation for exploring genes that regulate the mechanical strength of rice stems, further screening and breeding rice varieties with strong lodging resistance.

Key words: Oryza sativa, mechanical strength of stem, QTL mapping, candidate genes, lodging-resistant

贾绮玮, 钟芊芊, 顾育嘉, 陆天麒, 李玮, 杨帅, 朱超宇, 胡程翔, 李三峰, 王跃星, 饶玉春. 水稻茎秆细胞壁相关组分含量QTL定位及候选基因分析. 植物学报, 2023, 58(6): 882-892.

Qiwei Jia, Qianqian Zhong, Yujia Gu, Tianqi Lu, Wei Li, Shuai Yang, Chaoyu Zhu, Chengxiang Hu, Sanfeng Li, Yuexing Wang, Yuchun Rao. Mapping of QTL for Cell Wall Related Components in Rice Stem and Analysis of Candidate Genes. Chinese Bulletin of Botany, 2023, 58(6): 882-892.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.chinbullbotany.com/CN/10.11983/CBB23100

https://www.chinbullbotany.com/CN/Y2023/V58/I6/882

图/表 7

参考文献 50

[1]	白勇, 巩威, 刘天昀, 朱玉贤 (2003). 水稻肉桂酰辅酶A还原酶基因的克隆与表达分析. 科学通报 48, 1780-1784.
[2]	陈桂华, 邓化冰, 张桂莲, 唐文帮, 黄璜 (2016). 水稻茎秆性状与抗倒性的关系及配合力分析. 中国农业科学 49, 407-417. DOI
[3]	代建秀, 唐子清, 吴春文, 史培康, 韦良艳, 施洁, 黎晟, 罗继景, 蔡中全 (2017). 水稻特异粗茎相关性状QTL的初步定位分析. 分子植物育种 15, 1395-1402.
[4]	丰安徽 (2017). 控制水稻茎秆粗细的OsTB1等位基因发掘与功能分析. 硕士论文. 成都: 四川农业大学. pp. 1-47.
[5]	冯春燕 (2010). 植物4-香豆酸:辅酶A连接酶(4CL)研究进展. 现代农业科技 (8), 39-40.
[6]	韩雷锋, 周燃, 周涛, 林翠香, 甘泉, 倪大虎, 石英尧, 宋丰顺 (2023). 水稻抗倒伏和产量性状的相关性分析及QTLs定位. 生物学杂志 40(2), 65-70.
[7]	胡文冉, 李晓东, 周小云, 杨洋, 李波, 李晓荣 (2019). 棉花肉桂醇脱氢酶基因在棉纤维中的表达及对其结构组分的影响. 西北植物学报 39, 1114-1120.
[8]	金佳怡, 罗怿婷, 杨惠敏, 芦涛, 叶涵斐, 谢继毅, 王珂欣, 陈芊羽, 方媛, 王跃星, 饶玉春 (2023). 水稻叶绿素含量QTL定位与候选基因表达分析. 植物学报 58, 394-403. DOI
[9]	鞠晓晨, 胡杰, 高冠军, 张庆路, 何予卿 (2016). 水稻茎秆抗倒伏相关QTL定位与分析. 分子植物育种 14, 475-481.
[10]	李丰成 (2015). 植物细胞壁结构特征与生物质高效利用分子机理研究. 博士论文. 武汉: 华中农业大学. pp. 1-136.
[11]	刘畅, 李来庚 (2016). 水稻抗倒伏性状的分子机理研究进展. 中国水稻科学 30, 216-222. DOI
[12]	刘子玮 (2018). 水稻GRAS转录因子家族的系统分析与功能研究. 硕士论文. 南京: 南京大学. pp. 1-44.
[13]	卢雯瑩, 崔贺云, 高杉, 崔顺梅, 吴营照 (2020). 肉桂醇脱氢酶基因研究进展及其在小麦抗倒伏中的应用. 天津农业科学 26(10), 7-10.
[14]	罗兵, 韩永笑, 张淇鑫, 郭浩, 李红梅, 王静, 杨志刚, 孙海燕 (2018). 水稻UDP-N-乙酰葡萄糖胺酰基转移酶基因(OsLpxA) RNA干扰载体的构建及遗传转化. 分子植物育种 16, 5311-5317.
[15]	穆平, 李自超, 李春平, 张洪亮, 王象坤 (2004). 水、旱条件下水稻茎秆主要抗倒伏性状的QTL分析. 遗传学报 31, 717-723.
[16]	苏仕华, 王珏, 孙成亮, 成英, 卢红 (2008). 水稻倒伏对产量影响的调查与分析. 北方水稻 38, 41-43.
[17]	王士强, 顾春梅, 沈巧梅, 赵黎明, 王丽萍, 王贺 (2011). 水稻倒伏发生规律及防御技术的研究进展. 北方水稻 41, 69-72.
[18]	王晓飞, 陆展华, 刘维, 卢东柏, 王石光, 巫浩翔, 方志强, 何秀英 (2022). “绿色革命”以来水稻抗倒伏研究进展. 广东农业科学 49(3), 1-13.
[19]	魏和平, 芦涛, 贾绮玮, 邓飞, 朱浩, 岂泽华, 王玉玺, 叶涵斐, 殷文晶, 方媛, 穆丹, 饶玉春 (2022). 水稻抽穗期QTL定位及候选基因分析. 植物学报 57, 588-595. DOI
[20]	吴丹, 唐冬英, 李新梅, 李丽, 赵小英, 刘选明 (2015). F-box蛋白在植物生长发育中的功能研究进展. 生命科学研究 19, 362-367.
[21]	肖应辉, 罗丽华, 闫晓燕, 高艳红, 王春明, 江玲, 矢野昌裕, 翟虎渠, 万建民 (2005). 水稻品种倒伏指数QTL分析. 作物学报 31, 348-354.
[22]	辛良杰, 李秀彬 (2009). 近年来我国南方双季稻区复种的变化及其政策启示. 自然资源学报 24, 58-65. DOI
[23]	许作鹏 (2017). 水稻茎秆强度相关性状QTL分析及基因克隆. 硕士论文. 扬州: 扬州大学. pp. 19-78.
[24]	杨波, 杨文钰 (2011). 水稻抗倒伏研究进展. 耕作与栽培 (2), 1-5, 9.
[25]	杨德卫, 朱镇, 张亚东, 林静, 陈涛, 赵凌, 朱文银, 王才林 (2009). 基于CSSL的水稻穗颈长度QTL的代换作图. 遗传 31, 741-747.
[26]	杨窑龙, 饶玉春, 李赓觅, 黄李超, 冷语佳, 张光恒, 高振宇, 胡江, 朱丽, 郭龙彪, 钱前, 曾大力 (2011). 水稻茎秆相关性状遗传分析. 分子植物育种 9, 160-168.
[27]	袁新捷 (2021). 水稻抗倒伏研究及相关性状QTL初步定位分析. 硕士论文. 武汉: 华中农业大学. pp. 9-61.
[28]	赵新勇, 邵在胜, 吴艳珍, 赵轶鹏, 王余龙, 王云霞, 杨连新 (2018). 花后人为模拟倒伏对超级稻生长、产量和品质的影响. 中国生态农业学报 26, 980-989.
[29]	周雷 (2018). 一个水稻茎粗抗倒QTL的定位及其候选基因分析. 硕士论文. 成都: 四川农业大学. pp. 2-40.
[30]	Fanata WID, Lee KH, Son BH, Yoo JY, Harmoko R, Ko KS, Ramasamy NK, Kim KH, Oh DB, Jung HS, Kim JY, Lee SY, Lee KO (2013). N-glycan maturation is crucial for cytokinin-mediated development and cellulose synthesis in Oryza sativa. Plant J 73, 966-979.
[31]	Gui JS, Shen JH, Li LG (2011). Functional characterization of evolutionarily divergent 4-coumarate: coenzyme A ligases in rice. Plant Physiol 157, 574-586. DOI URL
[32]	Haigler CH, Ivanova-Datcheva M, Hogan PS, Salnikov VV, Hwang S, Martin K, Delmer DP (2001). Carbon partitioning to cellulose synthesis. Plant Mol Biol 47, 29-51. PMID
[33]	Hu J, Zhu L, Zeng DL, Gao ZY, Guo LB, Fang YX, Zhang GH, Dong GJ, Yan MX, Liu J, Qian Q (2010). Identification and characterization of NARROW AND ROLLED LEAF 1, a novel gene regulating leaf morphology and plant architecture in rice. Plant Mol Biol 73, 283-292. DOI URL
[34]	Huang P, Yoshida H, Yano K, Kinoshita S, Kawai K, Koketsu E, Hattori M, Takehara S, Huang J, Hirano K, Ordonio RL, Matsuoka M, Ueguchi-Tanaka M (2018). OsIDD2, a zinc finger and INDETERMINATE DOMAIN protein, regulates secondary cell wall formation. J Integr Plant Biol 60, 130-143. DOI
[35]	Ishimaru K, Togawa E, Ookawa T, Kashiwagi T, Madoka Y, Hirotsu N (2008). New target for rice lodging resistance and its effect in a typhoon. Planta 227, 601-609. DOI PMID
[36]	Kashiwagi T, Togawa E, Hirotsu N, Ishimaru K (2008). Improvement of lodging resistance with QTLs for stem diameter in rice (Oryza sativa L.). Theor Appl Genet 117, 749-757. DOI PMID
[37]	Kawasaki T, Koita H, Nakatsubo T, Hasegawa K, Wakabayashi K, Takahashi H, Umemura K, Umezawa T, Shimamoto K (2006). Cinnamoyl-CoA reductase, a key enzyme in lignin biosynthesis, is an effector of small GTPase Rac in defense signaling in rice. Proc Natl Acad Sci USA 103, 230-235. DOI PMID
[38]	Li M, Xiong GY, Li R, Cui JJ, Tang D, Zhang BC, Pauly M, Cheng ZK, Zhou YH (2009a). Rice cellulose synthase- like D4 is essential for normal cell-wall biosynthesis and plant growth. Plant J 60, 1055-1069. DOI URL
[39]	Li XJ, Yang Y, Yao JL, Chen GX, Li XH, Zhang QF, Wu CY (2009b). FLEXIBLE CULM 1 encoding a cinnamyl- alcohol dehydrogenase controls culm mechanical strength in rice. Plant Mol Biol 69, 685-697. DOI URL
[40]	Liu GM, Zhang K, Ai J, Deng XJ, Hong YY, Wang XM (2015). Patatin-related phospholipase A, pPLAIIIα, modulates the longitudinal growth of vegetative tissues and seeds in rice. J Exp Bot 66, 6945-6955. DOI PMID
[41]	Livak KJ, Schmittgen TD (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2^-ΔΔCT method. Methods 25, 402-408. DOI PMID
[42]	McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T (1997). Report on QTL nomenclature. Rice Genet Newsl 14, 11-13.
[43]	Nixon BT, Mansouri K, Singh A, Du J, Davis JK, Lee JG, Slabaugh E, Vandavasi VG, O'Neill H, Roberts EM, Roberts AW, Yingling YG, Haigler CH (2016). Comparative structural and computational analysis supports eighteen cellulose synthases in the plant cellulose synthesis complex. Sci Rep 6, 28696. DOI PMID
[44]	Paredez AR, Somerville CR, Ehrhardt DW (2006). Visualization of cellulose synthase demonstrates functional association with microtubules. Science 312, 1491-1495. DOI PMID
[45]	Peng S, Cassman KG, Virmani SS, Sheehy J, Khush GS (1999). Yield potential trends of tropical rice since the release of IR8 and the challenge of increasing rice yield potential. Crop Sci 39, 1552-1559. DOI URL
[46]	Rosinski JA, Atchley WR (1998). Molecular evolution of the MYB family of transcription factors: evidence for polyphyletic origin. J Mol Evol 46, 74-83. DOI PMID
[47]	Song XQ, Zhang BC, Zhou YH (2011). Golgi-localized UDP-glucose transporter is required for cell wall integrity in rice. Plant Signal Behav 6, 1097-1100. DOI PMID
[48]	Van Soest PJ, Robertson JB, Lewis BA (1991). Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci 74, 3583-3597. DOI PMID
[49]	Wang L, Wang AH, Huang XH, Zhao Q, Dong GJ, Qian Q, Sang T, Han B (2011). Mapping 49 quantitative trait loci at high resolution through sequencing-based genotyping of rice recombinant inbred lines. Theor Appl Genet 122, 327-340. DOI PMID
[50]	Zhang BL, Zhao TM, Yu WG, Kuang BQ, Yao Y, Liu TL, Chen XY, Zhang WH, Wu AM (2014). Functional conservation of the glycosyltransferase gene GT47A in the monocot rice. J Plant Res 127, 423-432. DOI URL

Primer name	Sequence (5′-3′)	Tm (°C)	Length (bp)	Size (bp)
LOC_Os01g04930-F-qrt	GAGGGGGAACTGGTTCATGG	60.00	20	164
LOC_Os01g04930-R-qrt	CGAGGTCCCTGAAGTGGTTC	60.00	20	164
LOC_Os01g08440-F-qrt	AGCAACGACCTCTTCAAGCA	59.90	20	178
LOC_Os01g08440-R-qrt	TCCTCAGCACCCACAAGAAC	59.90	20	178
LOC_Os01g09850-F-qrt	CTCCTCCTACCAGCAACGTG	60.10	20	180
LOC_Os01g09850-R-qrt	GACCCAAGAAGTCCCTGGTG	60.00	20	180
LOC_Os02g56460-F-qrt	CTGCTGGAGCGACTACGAAT	59.90	20	182
LOC_Os02g56460-R-qrt	CGTGGTTGGTGCTGAAGTTG	60.00	20	182
LOC_Os02g58480-F-qrt	ACCGTCGGACTACCTCAAGA	60.00	20	187
LOC_Os02g58480-R-qrt	GTCGGTCAGCTTGGAAGACA	60.00	20	187
LOC_Os02g58590-F-qrt	GCCTCGCACAAGCAGAAAAA	60.00	20	183
LOC_Os02g58590-R-qrt	AGGTCTGCACGCTCCTTTTT	60.00	20	183
LOC_Os04g52280-F-qrt	GGATGAGGGTGACGGTGATC	59.90	20	179
LOC_Os04g52280-R-qrt	TGCCAGGTAAGAGTGCATGG	60.00	20	179
LOC_Os08g14760-F-qrt	AATACCAGTCGCCTTCGTGG	60.10	20	186
LOC_Os08g14760-R-qrt	AGATGTTGCAGCTGCTTCCT	60.00	20	186
LOC_Os11g04400-F-qrt	CAGTGCACCCATGGAGGATT	60.00	20	183
LOC_Os11g04400-R-qrt	TTCTCCAACATCTCGCCGAC	60.10	20	183
LOC_Os12g29300-F-qrt	GTCTTCTTCGACTGCACCGA	60.00	20	155
LOC_Os12g29300-R-qrt	TCTTCTCCGAGTAGGCGACA	60.00	20	155
LOC_Os12g36890-F-qrt	CTTCACCTCCGTGTTCCTCC	60.00	20	162
LOC_Os12g36890-R-qrt	CCGGACCACTTGATCTCGAG	59.90	20	162
LOC_Os12g41720-F-qrt	CAACTACGTCCGCATCCAGG	60.80	20	163
LOC_Os12g41720-R-qrt	CCGGTTTGACTTCTCCGACA	60.00	20	163
LOC_Os12g41780-F-qrt	TTCACTGGCATCCCGAAGTC	60.00	20	187
LOC_Os12g41780-R-qrt	CAATGCCTGATCTTCGCAGC	60.00	20	187

Primer name	Sequence (5′-3′)	Tm (°C)	Length (bp)	Size (bp)
LOC_Os01g04930-F-qrt	GAGGGGGAACTGGTTCATGG	60.00	20	164
LOC_Os01g04930-R-qrt	CGAGGTCCCTGAAGTGGTTC	60.00	20	164
LOC_Os01g08440-F-qrt	AGCAACGACCTCTTCAAGCA	59.90	20	178
LOC_Os01g08440-R-qrt	TCCTCAGCACCCACAAGAAC	59.90	20	178
LOC_Os01g09850-F-qrt	CTCCTCCTACCAGCAACGTG	60.10	20	180
LOC_Os01g09850-R-qrt	GACCCAAGAAGTCCCTGGTG	60.00	20	180
LOC_Os02g56460-F-qrt	CTGCTGGAGCGACTACGAAT	59.90	20	182
LOC_Os02g56460-R-qrt	CGTGGTTGGTGCTGAAGTTG	60.00	20	182
LOC_Os02g58480-F-qrt	ACCGTCGGACTACCTCAAGA	60.00	20	187
LOC_Os02g58480-R-qrt	GTCGGTCAGCTTGGAAGACA	60.00	20	187
LOC_Os02g58590-F-qrt	GCCTCGCACAAGCAGAAAAA	60.00	20	183
LOC_Os02g58590-R-qrt	AGGTCTGCACGCTCCTTTTT	60.00	20	183
LOC_Os04g52280-F-qrt	GGATGAGGGTGACGGTGATC	59.90	20	179
LOC_Os04g52280-R-qrt	TGCCAGGTAAGAGTGCATGG	60.00	20	179
LOC_Os08g14760-F-qrt	AATACCAGTCGCCTTCGTGG	60.10	20	186
LOC_Os08g14760-R-qrt	AGATGTTGCAGCTGCTTCCT	60.00	20	186
LOC_Os11g04400-F-qrt	CAGTGCACCCATGGAGGATT	60.00	20	183
LOC_Os11g04400-R-qrt	TTCTCCAACATCTCGCCGAC	60.10	20	183
LOC_Os12g29300-F-qrt	GTCTTCTTCGACTGCACCGA	60.00	20	155
LOC_Os12g29300-R-qrt	TCTTCTCCGAGTAGGCGACA	60.00	20	155
LOC_Os12g36890-F-qrt	CTTCACCTCCGTGTTCCTCC	60.00	20	162
LOC_Os12g36890-R-qrt	CCGGACCACTTGATCTCGAG	59.90	20	162
LOC_Os12g41720-F-qrt	CAACTACGTCCGCATCCAGG	60.80	20	163
LOC_Os12g41720-R-qrt	CCGGTTTGACTTCTCCGACA	60.00	20	163
LOC_Os12g41780-F-qrt	TTCACTGGCATCCCGAAGTC	60.00	20	187
LOC_Os12g41780-R-qrt	CAATGCCTGATCTTCGCAGC	60.00	20	187

Year	Cell wall component	QTL	Chromosome	Physical distance (bp)	Position of support (cM)	Likelihood of odd (LOD)
2020	Cellulose	qCel202	2	35381094-35599368	151.67-152.60	3.48
		qCel204	4	29276416-29507404	125.50-126.49	2.82
	Hemicellulose	qHem201	1	2070966-6568005	8.88-28.16	5.02
		qHem203	3	29806859-30321190	127.77-129.99	2.53
		qHem208	8	4587694-8917564	19.67-38.23	3.48
		qHem2012-1	12	15484322-15779533	66.38-67.64	2.94
		qHem2012-2	12	22426037-27516985	96.13-117.95	5.52
	Lignin	qLig202	2	33583953-35902152	143.97-153.90	3.03
		qLig204-1	4	27558155-28380156	118.13-121.66	3.19
		qLig204-2	4	31066903-31212801	133.18-133.80	3.25
		qLig2011	11	1449031-5404218	6.21-23.17	3.46
		qLig2012-1	12	24319945-24511904	104.25-105.66	3.45
		qLig2012-2	12	27434341-27516085	117.60-117.95	2.60
2021	Cellulose	qCel211	1	2192312-2834929	9.39-12.15	3.34
		qCel2112	12	25510919-27516085	109.35-117.95	3.94
	Hemicellulose	qHem211	1	5699636-6152981	24.43-26.37	3.34
		qHem213-1	3	8841716-8989609	37.90-38.53	2.55
		qHem213-2	3	20915784-21229182	89.66-91.00	3.07
		qHem214	4	2647701-5256057	11.34-22.53	3.81
		qHem218	8	1430252-1451568	6.13-6.22	2.50
		qHem2112-1	12	7276559-7573232	31.19-32.46	2.55
		qHem2112-2	12	17268215-18172857	74.02-77.90	3.40
	Lignin	qLig215-1	5	327464-853216	1.40-3.65	2.90
		qLig215-2	5	25519701-27453301	109.39-117.68	3.35

Year	Cell wall component	QTL	Chromosome	Physical distance (bp)	Position of support (cM)	Likelihood of odd (LOD)
2020	Cellulose	qCel202	2	35381094-35599368	151.67-152.60	3.48
		qCel204	4	29276416-29507404	125.50-126.49	2.82
	Hemicellulose	qHem201	1	2070966-6568005	8.88-28.16	5.02
		qHem203	3	29806859-30321190	127.77-129.99	2.53
		qHem208	8	4587694-8917564	19.67-38.23	3.48
		qHem2012-1	12	15484322-15779533	66.38-67.64	2.94
		qHem2012-2	12	22426037-27516985	96.13-117.95	5.52
	Lignin	qLig202	2	33583953-35902152	143.97-153.90	3.03
		qLig204-1	4	27558155-28380156	118.13-121.66	3.19
		qLig204-2	4	31066903-31212801	133.18-133.80	3.25
		qLig2011	11	1449031-5404218	6.21-23.17	3.46
		qLig2012-1	12	24319945-24511904	104.25-105.66	3.45
		qLig2012-2	12	27434341-27516085	117.60-117.95	2.60
2021	Cellulose	qCel211	1	2192312-2834929	9.39-12.15	3.34
		qCel2112	12	25510919-27516085	109.35-117.95	3.94
	Hemicellulose	qHem211	1	5699636-6152981	24.43-26.37	3.34
		qHem213-1	3	8841716-8989609	37.90-38.53	2.55
		qHem213-2	3	20915784-21229182	89.66-91.00	3.07
		qHem214	4	2647701-5256057	11.34-22.53	3.81
		qHem218	8	1430252-1451568	6.13-6.22	2.50
		qHem2112-1	12	7276559-7573232	31.19-32.46	2.55
		qHem2112-2	12	17268215-18172857	74.02-77.90	3.40
	Lignin	qLig215-1	5	327464-853216	1.40-3.65	2.90
		qLig215-2	5	25519701-27453301	109.39-117.68	3.35

Gene ID	Chromosome	Function	Cloned or not
LOC_Os01g04930	1	MYB transcription factor	Not cloned
LOC_Os01g08440	1	UDP glucoside transferase	Not cloned
LOC_Os01g09850	1	C2H2-type zinc finger transcription factor	Cloned (Huang et al., 2018)
LOC_Os02g56460	2	Cinnamyl CoA reductase	Cloned (Kawasaki et al., 2006)
LOC_Os02g58480	2	Sucrose synthase	Not cloned
LOC_Os02g58590	2	N-acetylglucosaminyltransferase I	Cloned (Fanata et al., 2013)
LOC_Os04g52280	4	Cinnamyl alcohol dehydrogenase	Cloned (Li et al., 2009b)
LOC_Os08g14760	8	4-coumarate:coenzyme A ligase	Cloned (Gu et al., 2011)
LOC_Os11g04400	11	GRAS family transcription factor	Not cloned
LOC_Os12g29300	12	CESA10-cellulase synthesis	Not cloned
LOC_Os12g36890	12	Cellulose synthase-like	Cloned (Hu et al., 2010)
LOC_Os12g41720	12	Patatin-related phospholipase A	Not cloned
LOC_Os12g41780	12	Glycosyltransferase	Not cloned

水稻茎秆细胞壁相关组分含量QTL定位及候选基因分析

Mapping of QTL for Cell Wall Related Components in Rice Stem and Analysis of Candidate Genes

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 50

相关文章 15

编辑推荐

Metrics

本文评价

[1]	黄佳慧, 杨惠敏, 陈欣雨, 朱超宇, 江亚楠, 胡程翔, 连锦瑾, 芦涛, 路梅, 张维林, 饶玉春. 水稻突变体pe-1对弱光胁迫的响应机制[J]. 植物学报, 2024, 59(4): 0-0.
[2]	周俭民. 收放自如的明星战车[J]. 植物学报, 2024, 59(3): 343-346.
[3]	朱超宇, 胡程翔, 朱哲楠, 张芷宁, 汪理海, 陈钧, 李三峰, 连锦瑾, 唐璐瑶, 钟芊芊, 殷文晶, 王跃星, 饶玉春. 水稻穗部性状QTL定位及候选基因分析[J]. 植物学报, 2024, 59(2): 217-230.
[4]	夏婧, 饶玉春, 曹丹芸, 王逸, 柳林昕, 徐雅婷, 牟望舒, 薛大伟. 水稻中乙烯生物合成关键酶OsACS和OsACO调控机制研究进展[J]. 植物学报, 2024, 59(2): 291-301.
[5]	方妍力, 田传玉, 苏如意, 刘亚培, 王春连, 陈析丰, 郭威, 纪志远. 水稻抗细菌性条斑病基因挖掘与初定位[J]. 植物学报, 2024, 59(1): 1-9.
[6]	朱宝, 赵江哲, 张可伟, 黄鹏. 水稻细胞分裂素氧化酶9参与调控水稻叶夹角发育[J]. 植物学报, 2024, 59(1): 10-21.
[7]	戴若惠, 钱心妤, 孙静蕾, 芦涛, 贾绮玮, 陆天麒, 路梅, 饶玉春. 水稻叶色调控机制及相关基因研究进展[J]. 植物学报, 2023, 58(5): 799-812.
[8]	田传玉, 方妍力, 沈晴, 王宏杰, 陈析丰, 郭威, 赵开军, 王春连, 纪志远. 2019-2021年我国南方稻区白叶枯病菌的毒力与遗传多样性调查研究[J]. 植物学报, 2023, 58(5): 743-749.
[9]	严语萍, 俞晓琦, 任德勇, 钱前. 水稻穗粒数遗传机制与育种利用[J]. 植物学报, 2023, 58(3): 359-372.
[10]	刘裕强, 万建民. 寄主监控昆虫唾液蛋白平衡植物抗性与生长发育[J]. 植物学报, 2023, 58(3): 353-355.
[11]	孙尚, 胡颖颖, 韩阳朔, 薛超, 龚志云. 水稻染色体双链寡核苷酸荧光原位杂交技术[J]. 植物学报, 2023, 58(3): 433-439.
[12]	金佳怡, 罗怿婷, 杨惠敏, 芦涛, 叶涵斐, 谢继毅, 王珂欣, 陈芊羽, 方媛, 王跃星, 饶玉春. 水稻叶绿素含量QTL定位与候选基因表达分析[J]. 植物学报, 2023, 58(3): 394-403.
[13]	王琪, 吴允哲, 刘学英, 孙丽莉, 廖红, 傅向东. 类受体激酶调控水稻生长发育和环境适应研究进展[J]. 植物学报, 2023, 58(2): 199-213.
[14]	叶卫军, 张阴, 王沛然, 张玲玲, 田东丰, 吴泽江, 周斌. 绿豆5个产量相关性状的QTL分析[J]. 植物学报, 2023, 58(1): 150-158.
[15]	魏和平, 芦涛, 贾绮玮, 邓飞, 朱浩, 岂泽华, 王玉玺, 叶涵斐, 殷文晶, 方媛, 穆丹, 饶玉春. 水稻抽穗期QTL定位及候选基因分析[J]. 植物学报, 2022, 57(5): 588-595.