基于高密度遗传图谱的蓖麻种子大小性状QTL定位

doi:10.3724/SP.J.1006.2023.14195

作物学报 ›› 2023, Vol. 49 ›› Issue (3): 719-730.doi: 10.3724/SP.J.1006.2023.14195

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

基于高密度遗传图谱的蓖麻种子大小性状QTL定位

杨俊芳¹^,²(), 王宙¹(), 乔麟轶², 王亚¹, 赵宜婷¹, 张宏斌¹, 申登高¹, 王宏伟³^,^*(), 曹越¹^,^*()

¹山西农业大学经济作物研究所, 山西太原 030031
²山西农业大学农学院, 山西太原 030031
³山西农业大学社会服务部, 山西太原 030031

收稿日期:2021-10-21 接受日期:2022-06-07 出版日期:2023-03-12 网络出版日期:2022-07-08
通讯作者: 王宏伟,曹越
作者简介:杨俊芳, E-mail: sx1987yjf@126.com
王宙, E-mail: 419309976@qq.com第一联系人：^**同等贡献
基金资助:
山西省农业科学院国家自然基金培育项目(YGJPY1904);山西省科技厅青年科学研究项目(20210302124364);山西农业大学生物育种工程项目(YZGC050)

QTL mapping of seed size traits based on a high-density genetic map in castor

YANG Jun-Fang¹^,²(), WANG Zhou¹(), QIAO Lin-Yi², WANG Ya¹, ZHAO Yi-Ting¹, ZHANG Hong-Bin¹, SHEN DengGao¹, WANG HongWei³^,^*(), CAO Yue¹^,^*()

¹Institute of Industrial Crops, Shanxi Agricultural University, Taiyuan 030031, Shanxi, China
²College of Agriculture, Shanxi Agricultural University, Taiyuan 030031, Shanxi, China
³Social Service Department of Shanxi Agricultural University, Taiyuan 030031, Shanxi, China

Received:2021-10-21 Accepted:2022-06-07 Published:2023-03-12 Published online:2022-07-08
Contact: WANG HongWei,CAO Yue
About author:First author contact:^**Contributed equally to this work
Supported by:
Shanxi Academy of Agricultural Sciences for Cultivating the National Natural Science Foundation(YGJPY1904);Youth Scientific Research Project of Science and Technology Department of Shanxi Province(20210302124364);Biological Breeding Engineering of Shanxi Agricultural University(YZGC050)

摘要/Abstract

摘要：

蓖麻种子大小直接影响产量, 不同的蓖麻材料间种子大小差异较大, 深入研究蓖麻种子大小性状的遗传机制对蓖麻种子产业的发展具有重要意义。本研究以蓖麻两性自交系SL1为父本, 雌性系HCH1为母本1 (组合1)、雌性系HCH3为母本2 (组合2), 分别构建F₂、BC₁群体。首先, 分析2组遗传群体种子大小性状间的相关性。其次, 利用全基因组测序技术(whole genome sequencing,WGS)对组合1的F₂群体中的150个单株进行测序分析, 构建高密度遗传图谱并结合种子大小性状表型数据进行数量性状座位(quantitative trait locus, QTL)定位分析。最后, 对QTL区间包含的基因进行BLAST同源比对和KEGG通路富集分析确定候选基因。结果表明, 不同组合群体的种子大小各性状间的相关性有差异, 种子的长度和宽度相关性最显著。共检测到种子大小性状相关QTL位点18个, 其中种子长度2个QTLs、种子宽度5个QTL、种子厚度4个QTL、百粒重7个QTL, 分别分布在连锁群1、4、7、8、9、10上, LOD值介于3.77~7.40, 变异贡献率介于0.71%~86.20%。基于这些分析, 筛选到6个调控蓖麻种子大小的候选基因28470.m000435、29908.m006143、29848.m004589、27752.m000045、29683.m000480和29848.m004611。本研究为蓖麻种子大小相关基因的精细定位和克隆、分子标记辅助育种及基因功能的深入研究奠定了一定的理论基础。

关键词: 蓖麻, 高密度遗传图谱, 种子大小, QTL定位, KEGG, 候选基因

Abstract:

The seed size of castor (Ricinus communis L.) directly affects the yield, and there is a great difference in seed size among different castor varieties. It is of great significance to further study the genetic mechanism of castor seed size traits for the development of castor seed industry. In this study, we used monoecious inbred lines SL1 as male parent, pistillate line HCH1 as female parent 1 (Combination 1), and pistillate line HCH3 as female parent 2 (Combination 2) to construct F₂ and BC₁ populations, respectively. Firstly, the correlations between seed size traits were analyzed by phenotypic statistics of the two genetic populations. Secondly, based on the phenotypic data of 150 individual plants in F₂population from Combination 1, a high-density genetic map was constructed using genotyping by whole genome sequencing technology (WGS), and QTL analysis was performed for the seed size traits. Finally, the KEGG pathway enrichment and BLAST comparison were performed to determine the candidate genes in the definite QTL region. The results showed that the correlation between seed traits was different among different combinations and populations, and the correlation between seed length and width was the most significant by the phenotypic analysis. And a total of 18 QTLs were detected for four traits including 2 QTLs for seed length, 5 QTLs for seed width, 4 QTLs for seed thickness, and 7 QTLs for hundred-grain weight, which were distributed on linkage groups 1, 4, 7, 8, 9, and 10, respectively. The LOD values ranged from 3.77 to 7.40, and the contribution of variation rate ranged from 0.71% to 86.20%. Based on these results, six candidate genes (28470.m000435, 29908.m006143, 29848.m004589, 27752.m000045, 29683.m000480, and 29848.m004611) for regulating seed size were screened. This study lays a theoretical foundation for further research on fine mapping and gene cloning, molecular marker-assisted breeding and gene function analysis of castor seed size traits.

Key words: castor, high-density genetic map, seed size, QTL mapping, KEGG, candidate gene

杨俊芳, 王宙, 乔麟轶, 王亚, 赵宜婷, 张宏斌, 申登高, 王宏伟, 曹越. 基于高密度遗传图谱的蓖麻种子大小性状QTL定位[J]. 作物学报, 2023, 49(3): 719-730.

YANG Jun-Fang, WANG Zhou, QIAO Lin-Yi, WANG Ya, ZHAO Yi-Ting, ZHANG Hong-Bin, SHEN DengGao, WANG HongWei, CAO Yue. QTL mapping of seed size traits based on a high-density genetic map in castor[J]. Acta Agronomica Sinica, 2023, 49(3): 719-730.

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参考文献 45

[1]	Alexandrov O S, Karlov G I. Molecular cytogenetic analysis and genomic organizations of major DNA repeats in castor bean (Ricinus communis L.). Mol Genet Genomics, 2016, 291: 775-778. doi: 10.1007/s00438-015-1145-0 pmid: 26589420
[2]	包春光, 黄凤兰, 朱国立, 何智彪, 彭木, 陈晓凤, 罗蕊, 赵永. 蓖麻种子性状的研究进展. 内蒙古农业科技, 2014, (6): 102-104.
	Bao C G, Huang F L, Zhu G L, He Z B, Peng M, Chen X F, Luo R, Zhao Y. The research progress of seed character in castor. Inner Mongolia Agric Sci Technol, 2014, (6): 102-104. (in Chinese with English abstract)
[3]	Sun X, Ouyang M, Guo J, Ma J, Lu C, Adam Z, Zhang L. The thylakoid protease Deg1 is involved in photosystem-II assembly in Arabidopsis thaliana. Plant J Cell Mol Biol, 2010, 62: 240-249. doi: 10.1111/j.1365-313X.2010.04140.x
[4]	Duan P, Rao Y, Zeng D, Yang Y, Xu R, Zhang B, Dong G, Qian Q, Li Y. SMALL GRAIN 1, which encodes a mitogen-activated protein kinase 4, influences grain size in rice. Plant J Cell Mol Biol, 2014, 77: 547-557. doi: 10.1111/tpj.12405
[5]	Schruff M C, Spielman M, Tiwari S, Adams S, Fenby N, Scott R J. The AUXIN RESPONSE FACTOR 2 gene of Arabidopsis links auxin signal, cell division, and the size of seeds and other organs. Development, 2006, 133: 251-261. doi: 10.1242/dev.02194 pmid: 16339187
[6]	Si L, Chen J, Huang X, Gong H, Luo J, Hou Q, Zhou T, Lu T, Zhu J, Shang-Guan Y, Chen E, Gong C, Zhao Q, Jing Y, Zhao Y, Li Y, Cui L, Fan D, Lu Y, Weng Q, Wang Y, Zhan Q, Liu K, Wei X, An K, An G, Han B. OsSPL13 controls grain size in cultivated rice. Nat Genet, 2016, 48: 447-456. doi: 10.1038/ng.3518
[7]	Shomura A, Izawa T, Ebana K, Ebitani T, Kanegae H, Konishi S, Yano M. Deletion in a gene associated with grain size increased yields during rice domestication. Nat Genet, 2008, 40: 1023-1028. doi: 10.1038/ng.169 pmid: 18604208
[8]	Qiu L J, Yang C, Tian B, Yang J B, Liu A Z. Exploiting EST databases for the development and characterization of EST-SSR markers in castor bean (Ricinus communis L.). BMC Plant Biol, 2010, 10: 278. doi: 10.1186/1471-2229-10-278
[9]	Gerard A, Amber W, Pablo D R, Agenes P C, Jacques R, Paul K. Worldwide genotyping of castor bean germplasm (Ricinus communis L.) using AFLPs and SSRs. Genet Resour Crop Evol, 2008, 55: 365-378. doi: 10.1007/s10722-007-9244-3
[10]	包春光, 黄凤兰, 朱国立, 刘浩, 杜娟, 彭木, 陈晓凤, 赵永. 与蓖麻种子大小性状连锁的RAPD分析. 华北农学报, 2015, 30(5): 108-114. doi: 10.7668/hbnxb.2015.05.018
	Bao C G, Huang F L, Zhu G L, Liu H, Du J, Peng M, Chen X F, Zhao Y. RAPD analysis of castor seed size traits linkage. Acta Agric Boreali-Sin, 2015, 30(5): 108-114. (in Chinese with English abstract)
[11]	Kim H C, Lei P, Wang A Z, Liu S, Zhao Y, Huang F L, Yu Z L, Zhu G L, He Z B, Tan D Y, Wang H W, Meng F J. Genetic diversity of castor bean (Ricinus communis L.) revealed by ISSR and RAPD markers. Agronomy, 2021, 11: 457. doi: 10.3390/agronomy11030457
[12]	Yu A M, Li F, Xu W, Wang Z, Sun C, Han B, Wang Y, Wang B, Cheng X, Liu A. Application of a high-resolution genetic map for chromosome-scale genome assembly and fine QTLs mapping of seed size and weight traits in castor bean. Sci Rep, 2019, 9: 11950. doi: 10.1038/s41598-019-48492-8 pmid: 31420567
[13]	Fan W, Lu J, Pan C, Tan M, Lin Q, Liu W, Li D, Wang L, Hu L, Wang L, Chen C, Wu A, Yu X, Ruan J, Yu J, Hu S, Yan X, Lyu S, Cui P. Sequencing of Chinese castor lines reveals genetic signatures of selection and yield-associated loci. Nat Commun, 2019, 10: 3418. doi: 10.1038/s41467-019-11228-3 pmid: 31366935
[14]	陆建军. 蓖麻重要农艺性状关联分析及野生种基因组组装. 中国科学院大学(中国科学院武汉植物园)博士学位论文, 湖北武汉, 2021.
	Lu J J. Genome-wide Association Analysis of Important Agronomic Traits in Castor and Wild Castor Genome Assembly. PhD Dissertation of Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China, 2021. (in Chinese with English abstract)
[15]	杨俊芳, 曹越, 王宙, 王亚, 张宏斌, 赵宜婷, 王宏伟. 蓖麻高密度遗传图谱构建亲本SNP多态性分析. 江苏农业科学, 2021, 49(9): 53-57.
	Yang J F, Cao Y, Wang Z, Wang Y, Zhang H B, Zhao Y T, Wang H W. Polymorphism analysis of SNP molecular markers between parents for a high-density genetic map in castor bean. Jiangsu Agric Sci, 2021, 49(9): 53-57. (in Chinese with English abstract)
[16]	李慧慧, 张鲁燕, 王建康. 数量性状基因定位研究中若干常见问题的分析与解答. 作物学报, 2010, 36: 918-931. doi: 10.3724/SP.J.1006.2010.00918
	Li H H, Zhang L Y, Wang J K. Analysis and answers to frequently asked questions in quantitative trait locus mapping. Acta Agron Sin, 2010, 36: 918-931. (in Chinese with English abstract) doi: 10.3724/SP.J.1006.2010.00918
[17]	Chen J, Wang N, Fang L C, Liang Z C, Li S H, Wu B H. Construction of a high-density genetic map and QTLs mapping for sugars and acids in grape berries. BMC Plant Biol, 2015, 15: 28. doi: 10.1186/s12870-015-0428-2 pmid: 25644551
[18]	Jiang N, Shi S, Shi H, Khanzada H, Wassan G M, Zhu C, Peng X, Yu Q, Chen X, He X, Fu J, Hu L, Xu J, Ou-Yang L, Sun X, Zhou D, He H, Bian J. Mapping QTL for seed germinability under low temperature using a new high density genetic map of rice. Front Plant Sci, 2017, 8: 1223. doi: 10.3389/fpls.2017.01223
[19]	Zhao Y, Su K, Wang G, Zhang L, Zhang J, Li J, Guo Y. High-density genetic linkage map construction and quantitative trait locus mapping for hawthorn (Crataegus pinnatififida Bunge). Sci Rep, 2017, 7: 5492. doi: 10.1038/s41598-017-05756-5
[20]	Liu S, Yin X G, Lu J N, Liu C, Bi C, Zhu H B, Shi Y Z, Zhang D, Wen D Y, Zheng J, Cui Y, Li W J. The first genetic linkage map of Ricinus communis L. based on genome-SSR markers. Ind Crops Prod, 2016, 89: 103-108. doi: 10.1016/j.indcrop.2016.04.063
[21]	Lu J N, Shi Y Z, Yin X G, Liu S, Liu C, Wen D Y, Li W J, He X L, Yang T. The genetic mechanism of sex type, a complex quantitative trait, in Ricinus communis L. Ind Crops Prod, 2019, 128: 590-598. doi: 10.1016/j.indcrop.2018.11.023
[22]	Tomar R S, Parakhia M V, Rathod V M, Thakkar J R, Padhiyar S M, Thummar V D, Dalal H, Kothari V V, Jasminkumar K, Dhingani R M, Golakiya B A. Development of linkage map and identification of QTLs responsible for fusarium wilt resistance in castor (Ricinus communis L.). Res J Biotechnol, 2016, 11: 67-73.
[23]	Tomar R S, Parakhia M V, Rathod V M, Thakkar J R, Padhiyar S M, Thummar V D, Dalal H, Kothari V V, Jasminkumar K, Dhingani R M, Pritesh S, Golakiya B A. Molecular mapping and identification of QTLs responsible for charcoal rot resistance in castor (Ricinus communis L.). Ind Crops Prod, 2017, 95: 184-190. doi: 10.1016/j.indcrop.2016.10.026
[24]	Garcia D, Saingery V, Chambrier P, Mayer U, Jürgens G, Berger F. Arabidopsis haiku mutants reveal new controls of seed size by endosperm. Plant Physiol, 2003, 131: 1661-1670. doi: 10.1104/pp.102.018762
[25]	Wang A, Garcia D, Zhang H, Feng K, Chaudhury A, Berger F, Peacock W J, Dennis E S, Luo M. The VQ motif protein IKU1 regulates endosperm growth and seed size in Arabidopsis. Plant J Cell Mol Biol, 2010, 63: 670-679. doi: 10.1111/j.1365-313X.2010.04271.x
[26]	Xu R, Yu H, Wang J, Duan P, Zhang B, Li J, Li Y, Xu J, Lu J, Li N, Chai T, Li Y. A mitogen-activated protein kinase phosphatase influences grain size and weight in rice. Plant J Cell Mol Biol, 2018, 95: 937-946. doi: 10.1111/tpj.13971
[27]	Matsuta S, Nishiyama A, Chaya G, Itoh T, Miura K, Iwasaki Y. Characterization of heterotrimeric G protein γ4 subunit in rice. Int J Mol Sci, 2018, 19: 3596. doi: 10.3390/ijms19113596
[28]	Ge L, Yu J, Wang H, Luth D, Bai G, Wang K, Chen R. Increasing seed size and quality by manipulating BIG SEEDS1 in legume species. Proc Natl Acad Sci USA, 2016, 113: 12414-12419. pmid: 27791139
[29]	Wang S, Wu K, Yuan Q, Liu X, Liu Z, Lin X, Zeng R, Zhu H, Dong G, Qian Q, Zhang G, Fu X. Control of grain size, shape and quality by OsSPL16 in rice. Nat Genetics, 2012, 44: 950-954. doi: 10.1038/ng.2327
[30]	Achard P, Gusti A, Cheminant S, Alioua M, Dhondt S, Coppens F, Beemster G T, Genschik P. Gibberellin signaling controls cell proliferation rate in Arabidopsis. Curr Biol, 2009, 19: 1188-1193. doi: 10.1016/j.cub.2009.05.059
[31]	Silverstone A L, Jung H S, Dill A, Kawaide H, Kamiya Y, Sun T P. Repressing a repressor: gibberellin-induced rapid reduction of the RGA protein in Arabidopsis. Plant Cell, 2001, 13: 1555-1565. doi: 10.1105/tpc.010047 pmid: 11449051
[32]	Jensen M K, Hagedorn P H, Torres-Zabala M D, Grant M R, Rung J H, Collinge D B, Lyngkjaer M F. Transcriptional regulation by an NAC (NAM-ATAF1, 2-CUC2) transcription factor attenuates ABA signalling for efficient basal defence towards Blumeria graminis f. sp. hordei in Arabidopsis. Plant J Cell Mol Biol, 2008, 56: 867-880. doi: 10.1111/j.1365-313X.2008.03646.x
[33]	李志永. 水稻种子特异表达基因SCP46 的克隆及功能鉴定. 中国农业科学院博士学位论文, 北京, 2017.
	Li Z Y. Cloning and Functional Identification of a Seed-specific Gene SCP46 in Rice. PhD Dissertation of Chinese Academy of Agricultural Sciences,Beijing, China, 2017. (in Chinese with English abstract)
[34]	Ulmasov T, Hagen G, Guilfoyle T J. ARF1, a transcription factor that binds to auxin response elements. Science, 1997, 276: 1865-1868. doi: 10.1126/science.276.5320.1865 pmid: 9188533
[35]	Okushima Y, Mitina I, Quach H I, Theologis A. AUXIN RESPONSE FACTOR 2 (ARF2): a pleiotropic developmental regulator. Plant J Cell Mol Biol, 2005, 43: 29-46. doi: 10.1111/j.1365-313X.2005.02426.x
[36]	Sun Y, Wang C, Wang N, Jiang X, Mao H, Zhu C, Wen F, Wang X, Lu Z, Yue G, Xu Z, Ye J. Manipulation of auxin response factor 19 affects seed size in the woody perennial Jatropha curcas. Sci Rep, 2017, 19: 40844.
[37]	Song X J, Huang W, Shi M, Zhu M Z, Lin H X. A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nat Genet, 2007, 39: 623-630. doi: 10.1038/ng2014
[38]	Li Y, Zheng L, Corke F, Smith C, Bevan M W. Control of final seed and organ size by the DA1 gene family in Arabidopsis thaliana. Genes Dev, 2008, 15: 1331-1336.
[39]	Du L, Li N, Chen L, Xu Y, Li Y, Zhang Y, Li C, Li Y. The ubiquitin receptor DA1 regulates seed and organ size by modulating the stability of the ubiquitin-specific protease UBP15/ SOD2 in Arabidopsis. Plant Cell, 2014, 26: 665-677. doi: 10.1105/tpc.114.122663
[40]	Xia T, Li N, Dumenil J, Li J, Kamenski A, Bevan M W, Gao F, Li Y H. The ubiquitin receptor DA1 interacts with the E3 ubiquitin ligase DA2 to regulate seed and organ size in Arabidopsis. Plant Cell, 2013, 25: 3347-3359. doi: 10.1105/tpc.113.115063
[41]	Wang Z B, Li N, Shan J, Gonzalez N, Huang X H, Wang Y C, Li Y H. SCF(SAP) controls organ size by targeting PPD proteins for degradation in Arabidopsis thaliana. Nat Commun, 2016, 7: 11192. doi: 10.1038/ncomms11192 pmid: 27048938
[42]	Li N, Liu Z, Wang Z, Ru L, Gonzalez N, Baekelandt A, Pauwels L, Goossens A, Xu R, Zhu Z, Inzé D, Li Y. STERILE APETALA modulates the stability of a repressor protein complex to control organ size in Arabidopsis thaliana. PLoS Genet, 2018, 14: e1007218.
[43]	Baute J, Polyn S, De Block J, Blomme J, Van Lijsebettens M, Inzé D. F-box protein FBX92 affects leaf size in Arabidopsis thaliana. Plant Cell Physiol, 2017, 58: 962-975. doi: 10.1093/pcp/pcx035 pmid: 28340173
[44]	Hong J P, Adams E, Yanagawa Y, Matsui M, Shin R. AtSKIP18 and AtSKIP31, F-box subunits of the SCF E3 ubiquitin ligase complex, mediate the degradation of 14-3-3 proteins in Arabidopsis. Biochem Biophys Res Commun, 2017, 485: 174-180. doi: 10.1016/j.bbrc.2017.02.046
[45]	Vandromme C, Spriet C, Dauvillée D, Courseaux A, Putaux J, Wychowski A, Krzewinski F, Facon M, D’hulst C, Wattebled F. PII1: a protein involved in starch initiation that determines granule number and size in Arabidopsis chloroplast. New Phytol, 2019, 221: 356-370. doi: 10.1111/nph.15356 pmid: 30055112

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群体 Population	性状 Trait		统计量 Number		极小值 Min.		极大值 Max.		均值 Mean		标准差 SD		双侧 Sig.		峰度 Kurtosis	偏度 Skewness
SL1, HCH1	种子长Seed length		2		13.00		16.04		14.52		2.15		0.07		—	—
	种子宽Seed width		2		9.04		9.52		9.28		0.34		0.02		—	—
	种子厚Seed thickness		2		6.40		6.62		6.51		0.16		0.01		—	—
	百粒重100-grain weight		2		29.62		47.20		38.41		12.43		0.14		—	—
B	种子长Seed length		217		13.09		17.22		15.13		0.82		0.00		-0.18	-0.01
	种子宽Seed width		217		8.30		10.04		9.16		0.36		0.00		-0.26	-0.24
	种子厚Seed thickness		217		5.40		7.31		6.39		0.30		0.00		0.28	0.21
	百粒重100-grain weight		217		15.77		52.64		40.13		5.89		0.00		1.42	-0.78
D	种子长Seed length		66		12.73		16.42		14.39		0.69		0.00		0.87	-0.05
	种子宽Seed width		66		8.02		9.84		9.03		0.35		0.00		0.54	-0.57
	种子厚Seed thickness		66		5.70		6.71		6.35		0.21		0.00		0.04	-0.43
	百粒重100-grain weight		66		24.98		43.92		37.09		4.30		0.00		0.42	-0.76
SL1, HCH3	种子长Seed length		2		13.10		16.04		14.57		2.08		0.06		—	—
	种子宽Seed width		2		8.80		9.52		9.16		0.51		0.02		—	—
群体 Population		性状 Trait		统计量 Number	极小值 Min.	极大值 Max.		均值 Mean		标准差 SD		双侧 Sig.		峰度 Kurtosis			偏度 Skewness
		种子厚Seed thickness		2	6.40	6.62		6.51		0.16		0.01		—			—
		百粒重100-grain weight		2	35.02	47.20		41.11		8.61		0.09		—			—
A		种子长Seed length		52	13.16	16.48		14.75		0.63		0.00		0.35			0.03
		种子宽Seed width		52	8.62	10.10		9.31		0.31		0.00		-0.34			-0.15
		种子厚Seed thickness		52	6.00	7.04		6.37		0.24		0.00		-0.06			0.66
		百粒重100-grain weight		52	34.20	48.12		41.16		3.07		0.00		-0.45			-0.10
C		种子长Seed length		41	13.28	15.54		14.41		0.55		0.00		-0.18			-0.14
		种子宽Seed width		41	8.60	9.80		9.15		0.29		0.00		-0.28			0.07
		种子厚Seed thickness		41	5.02	6.60		6.27		0.27		0.00		11.96			2.81
		百粒重100-grain weight		41	30.90	45.64		38.88		3.16		0.00		-0.33			-0.09

性状 Trait	种子长 Seed length	种子宽 Seed width	种子厚 Seed thickness	百粒重 100-grain weight
种子长Seed length		0.621^** B	0.610^** B	0.583^** B
		0.650^** D	0.521^** D	0.297^* D
种子宽Seed width	0.386^* C		0.505^** B	0.558^** B
	0.551^** A		0.381^** D	0.323^** D
种子厚Seed thickness	0.127 C	-0.028 C		0.445^** B
	0.359^** A	0.465^** A		0.117 D
百粒重100-grain weight	0.560^** C	0.453^** C	0.411^* C
	0.086 A	0.108 A	0.006 A

连锁群 Linkage	标记数目 Marker number	遗传距离 Length (cM)	平均距离 Average length (cM)	最大间隙 Maximum gap
LG1	1949	1171.78	0.60	61.01
LG2	970	458.32	0.47	9.05
LG3	659	397.43	0.60	20.54
LG4	626	349.77	0.56	9.40
LG5	497	281.76	0.57	6.46
LG6	246	134.67	0.55	23.25
LG7	243	196.25	0.81	24.37
LG8	182	120.87	0.66	25.15
LG9	242	170.22	0.70	12.33
LG10	99	73.96	0.75	4.53
平均Average	571	335.50	0.59	—
总计Total	5713	3355.03	—	—

性状 Trait	染色体 Chr.	QTL	位置 Position (cM)	LOD值 LOD value	加性效应Additive effect	显性效应Dominant effect	贡献率 R²(%)	99%置信区间 99% confidence interval
SL	1	qSL1	11.21	4.06	0.06	0.00	3.67	7.8-12.9
SL	7	qSL7	97.81	7.40	-0.02	0.00	22.16	91.2-98.9
SW	4	qSW4	169.31	3.87	0.10	-0.03	77.60	163.2-170.1
SW	7	qSW7-1	10.91	4.82	-0.05	-0.02	8.74	3.6-13.9
SW	7	qSW7-2	115.51	3.77	-0.04	0.01	11.59	107.0-119.6
SW	8	qSW8-1	96.01	4.60	-0.13	0.04	80.40	92.2-96.7
SW	8	qSW8-2	107.01	3.90	0.13	0.04	70.21	106.1-107.7
ST	4	qST4	85.51	3.87	-0.04	-0.01	23.75	83.9-88.3
ST	8	qST8-1	93.21	4.67	-0.05	0.01	86.20	90.9-96.0
ST	8	qST8-2	107.51	3.94	0.09	0.01	80.55	106.7-108.7
ST	10	qST10	71.11	5.26	-0.01	-0.01	0.71	67.5-73.0
HGW	1	qHGW1-1	3.31	4.11	-1.57	0.20	75.55	3.0-5.2
HGW	1	qHGW1-2	223.21	5.34	-1.70	0.08	30.79	223.1-236.5
HGW	1	qHGW1-3	397.91	4.30	-1.88	0.15	75.55	396.9-398.7
HGW	7	qHGW7-1	29.41	4.21	-0.27	-0.04	9.44	26.7-36.0
HGW	7	qHGW7-2	84.51	4.35	-0.26	0.13	16.60	84.1-86.2
HGW	7	qHGW7-3	97.81	4.88	-0.27	0.16	19.68	92.1-98.9
HGW	9	qHGW9	149.41	4.76	-0.23	0.26	20.05	138.2-157.3

性状位点 Trait locus	染色体位置Scaffords	物理位置 Physical position (bp)	所在基因ID Gene ID	拟南芥基因 Arabidopsis gene	描述 Description
qSL7, qHGW7-3, qHGW7-2	29,848	962,738, 961,557, 961,387	29848.t000167: 29848.m004611	AT4G32190.1	参与淀粉起始的蛋白质 Protein involved in starch initiation
qST4	29,908	169,970	29908.t000194: 29908.m006143	AT1G01720.1	具有NAC结构域的转录激活家族 Belongs to a large family of putative transcriptional activators with NAC domain.
qST8-1	29,683	197,190	29683.t000018: 29683.m000480	AT2G17030.1	编码SKP1/ASK互作蛋白 Encodes a SKP1/ASK-interacting protein
qHGW1-2	27,752	2,960	27752.t000001: 27752.m000045	AT3G07870.1	F-BOX 92蛋白 F-BOX protein 92
qHGW7-3, qSL7	29,848	849,320	29848.t000145: 29848.m004589	AT1G80490.2	与在胚胎发生过程中介导生长素依赖的转录抑制密切相关 It is closely related to Topless (TPL), which mediates auxin-dependent transcriptional repression during embryogenesis
qHGW9	28,470	118,469	28470.t000014: 28470.m000435	AT5G04010	F-box家族蛋白 F-box family protein

基于高密度遗传图谱的蓖麻种子大小性状QTL定位

QTL mapping of seed size traits based on a high-density genetic map in castor

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