小麦单株穗数响应氮胁迫遗传位点挖掘

doi:10.3969/j.issn.1674-7968.2021.03.003

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (1988 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract As an important factor that affects the spike number per unit area of wheat (Triticum aestivum), spike number per plant (SNPP) is sensitive to nitrogen level. In order to detect loci of SNPP response to nitrogen stress and to assist selecting and improving the nitrogen use efficiency or nitrogen stress sustain ability of wheat varieties, genome wide association study (GWAS) was conducted. The association panel consisted of 132 wheat varieties and their advanced lines derived from the north Yellow and Huai Valley Wheat Region of China. SNPP in 8 environments under 2 different nitrogen levels and tolerant index (TI) of SNPP to low nitrogen stress were investigated. Affymetrix Wheat 55K SNP was used to achieved the genetic data. Finally, 4 loci were identified to associated with SNPP in two or more environments accounting for 10.20%~17.5% of the phenotypic variation. And 3 loci associated with TI of SNPP were detected in 2 environments with the phenotypic variation ranging from 11.4% to 16.3%. Evaluation of the genetic effects and frequency of the alleles in the significantly associated loci suggested that it was important to strengthen the selection of the AX-108733649-2B, AX-108889870-4A, AX-111667100-5B and AX-111039914-7D loci for genetic improvement of wheat varieties with high nitrogen use efficiency.

Key words： Wheat Spike number per plant Genome wide association study (GWAS) Nitrogen use efficiency

Received: 02 December 2020 Published: 01 March 2021

ZTFLH:

S512.1

Corresponding Authors: *jijun@sjziam.ac.cn

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHANG Na
	ZHANG Xi-Lan
	ZHAO Ming-Hui
	QIAO Wen-Chen
	FU Xiao-Yi
	HE Ming-Qi
	SUN Li-Jing
	LI Hui
	ZHAO Yue-Xing
	JI Jun

Cite this article:

ZHANG Na,ZHANG Xi-Lan,ZHAO Ming-Hui, et al. Detection of Genetic Loci of Spike Number per Plant Response to Nitrogen Stress in Wheat (Triticum aestivum)[J]. 农业生物技术学报, 2021, 29(3): 435-442.

URL:

http://journal05.magtech.org.cn/Jwk_ny/EN/10.3969/j.issn.1674-7968.2021.03.003 OR http://journal05.magtech.org.cn/Jwk_ny/EN/Y2021/V29/I3/435

[1] 陈凯. 2018. 水稻氮高效利用和耐低氮优异基因挖掘与种质创新[D]. 博士后出站报告, 中国农业科学院, 导师:黎志康, pp. 8-9.
(Chen K.2018. Mining of excellent genes for nitrogen use efficiency and nitrogen deficiency tolerance and creation of germplasm in rice[D]. Thesis for P.D., Chinese Academy of Agricultural Sciences, Supervisor: Li Z K, pp. 8-9.)
[2] 徐晴, 许甫超, 董静, 等. 2017. 小麦氮素利用效率的基因型差异及相关特性分析[J]. 中国农业科学, 50(14): 2647-2657.
(Xu Q, Xu F C, Dong J, et al.2017. Genotypic difference of nitrogen use efficiency of wheat and correlation analysis of the related characters[J]. Scientia Agricultural Sinica, 50(14): 2647-2657.)
[3] 郑家奎, 文春阳, 张涛, 等. 2009. 耐低氮水稻材料筛选及筛选指标研究[J]. 安徽农业科学, 37(16):7361-7363.
(Zheng J K, Wen C Y, Zhang T, et al.2009. Studies on the screening index for low nitrogen tolerant rice and its selection[J]. Journal of Anhui Agricultural Science, 37(16): 7361-7363.)
[4] 左煜昕, 刘媛, 张沛沛, 等. 2020. 小麦有效分蘖数QTLs定位及其元分析[J]. 农业生物技术学报, 28(04): 582-593.
(ZuoY X, Liu Y, Zhang P P, et al.2020. Mapping and meta-analysis of QTLs for the productive tiller number in wheat (Triticum aestivum)[J]. Journal of Agricultural Biotechnology, 28(04): 582-593.)
[5] Chen G F, Wu R G, Li D M, et al.2017. Genome wide association study for seeding emergence and tiller number using SNP markers in an elite winter wheat population[J]. Journal of Genetics, 96(1): 177-186.
[6] Cui F, Zhang N, Fan X L, et al.2017. Utilization of a Wheat 660K SNP array-derived high-density genetic map for high-resolution mapping of a major QTL for kernel number[J]. Scientific Reports, 7: 3788.
[7] Deng S M, Wu X R, Wu Y Y, et al.2011. Characterization and precise mapping of a QTL increasing spike number with pleiotropic effects in wheat[J]. Theoretical and Applied Genetics, 122(2), 281-289.
[8] Hayat H, Mason R E, Lozada D N, et al.2019. Effects of allelic variation at Rht-B1 and Rht-D1 on grain yield and agronomic traits of southern US soft red winter wheat[J]. Euphytica, 215:172.
[9] Ju X T, Xing G X, Chen X P, et al.2009. Reducing environmental risk by improving N management in intensive chinese agricultural systems[J]. Proceedings of the National Academy of Sciences of the USA, 106(9): 3041-3046.
[10] Kuraparthy V, Sood S, Dhaliwal H, et al.2007. Identification and mapping of a tiller inhibition gene (tin3) in wheat[J]. Theoretical and Applied Genetics, 114(2), 285-294.
[11] Kuraparthy V, Sood S, Gill B Set al.2008. Genomic targeting and mapping of tiller inhibition gene (tin3) of wheat using ESTs and synteny with rice[J]. Functional & Integrative Genomics, 8(1), 33-42.
[12] Li S, Tian Y, Wu K, et al.2018. Modulating plant growth-metabolism coordination for sustainable agriculture[J]. Nature, 560(7720): 595-600.
[13] Li X Y, Qian Q, Fu Z M, et al.2003. Control of tillering in rice[J]. Nature, 422(6932): 618-621.
[14] Lin Q B, Wang D, Dong H, et al.2012. Rice APC/CTE controls tillering by mediating the degradation of MONOCULM 1[J]. Nature Communications, 3: 752.
[15] Liu J, Luo W, Qin N, et al.2018. A 55 K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat[J]. Theoretical and Applied Genetics, 131(11): 2439-2450.
[16] Liu W, Zhang D C, Tang M F, et al.2013. THIS1 is a putative lipase that regulates tillering, plant height, and spikelet fertility in rice[J]. Journal of Experimental Botany, 64(14): 4389-4402.
[17] Liu Y X, Lin Y, Gao S, et al.2017. A genome-wide association study of 23 agronomic traits in chinese wheat landraces[J]. The Plant Journal, 91(5): 861-873.
[18] Lu Z F, Shao G N, Xiong J S, et al.2015. Monoculum 3, an ortholog of wuschel in rice, is required for tiller bud formation[J]. Journal of Genetics and Genomics, 42(2): 71-78.
[19] Merk H L, Yarnes S C, Van D A, et al.2012. Trait diversity and potential for selection indices based on variation among regionally adapted processing tomato germplasm[J]. Journal of the American Society for Horticultural Science, 137(6): 427-437.
[20] Peng J R, Richards D E, Hartley N M, et al.1999. 'Green revolution' genes encode mutant gibberellin response modulators[J]. Nature, 400(6741): 256-261.
[21] Shah M M, Gill K S, Baenziger P S, et al.1999. Molecular mapping of loci for agronomic traits on chromosome 3A of bread wheat[J]. Crop Science, 39(6): 1728-1732.
[22] Spielmeryer W, Richards R.2004. Comparative mapping of wheat chromosome 1AS which contains the tiller inhibition gene (tin) with rice chromosome 5S[J]. Theoretical and Applied Genetics, 109(6), 1303-1310.
[23] Tong H N, Jin Y, Liu W B, et al.2009. Dwarf and low-tillering, a new member of the GRAS family, plays positive roles in brassinosteroid signaling in rice[J]. The Plant Journal, 58(5): 803-816.
[24] Wang F, Han T W, Song Q X, et al.2020. The rice circadian clock regulates tiller growth and panicle development through strigolactone signaling and sugar sensing[J]. The Plant Cell, 32(10): 3124-3138.
[25] Wang W F, Li G, Zhao J, et al.2014. Dwarf tiller 1, a wuschel-related homeobox transcription factor, is required for tiller growth in rice[J]. PLoS Genetics, 10(3): e1004154.
[26] Xu T, Bian N, Wen M, et al.2017. Characterization of a common wheat (Triticum aestivum L.) high-tillering dwarf mutant[J]. Theoretical and Applied Genetics, 130(3): 483-494.
[27] Zhang N, Zhang X L, Song L, et al.2020. Identification and validation of the superior alleles for wheat kernel traits detected by genome-wide association study under different nitrogen environments[J]. Euphytica, 216: 52.
[28] Zhao B, Wu T T, Ma S S, et al.2020. TaD27-B gene controls the tiller number in hexaploid wheat[J]. Plant Biotechnology Journal, 18(2): 513-525.