基于BSA分析技术对陆地棉抗旱基因的鉴定

doi:10.6048/j.issn.1001-4330.2023.10.001

新疆农业科学 ›› 2023, Vol. 60 ›› Issue (10): 2341-2351.DOI: 10.6048/j.issn.1001-4330.2023.10.001

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

基于BSA分析技术对陆地棉抗旱基因的鉴定

孙丰磊¹(), 任姣姣¹, 雷斌², 高文伟¹, 曲延英¹()

1.新疆农业大学农学院,乌鲁木齐 830052
2.新疆农业科学院核技术生物研究所,乌鲁木齐 830052

收稿日期:2023-01-21 出版日期:2023-10-20 发布日期:2023-11-01
通信作者: 曲延英(1962-),女,山东烟台人,教授,博士,硕士生/博士生导师,研究方向为棉花遗传育种,(E-mail)craie788@126.com
作者简介:孙丰磊(1992-),男,新疆阿图什人,博士,研究方向为棉花遗传育种,(E-mail)1271297139@qq.com
基金资助:
新疆维吾尔自治区自然科学基金项目“棉花抗旱表型鉴定及基因定位”(2019D01A41);博士后面上项目“棉花关键抗旱表型鉴定及基因定位”(2018M64377)

QTL mapping and genomic selection of maize leaf width

SUN Fenglei¹(), REN Jiaojiao¹, LEI Bin², GAO Wenwei¹, QU Yanying¹()

1. College of Agronomy, Xinjiang Agricultural University, Urumqi 830052,China
2. Institute of Nuclear Technology and Biotechnology,Xinjiang Academy of Agricultural Sciences,Urumqi 830091,China

Received:2023-01-21 Online:2023-10-20 Published:2023-11-01
Correspondence author: QU Yanying(1962-),Yantai, Shandong Province,professor,doctor,mainly engaged in cotton genetics and breeding,(E-mail)craie788@126.com
Supported by:
Xinjiang Natural Science Foundation"Drought Resistance Phenotype Identification and Gene Mapping of Cotton"(2019D01A41);Postdoctoral General Program "Identification and Gene Mapping of Key Drought Resistant Phenotypes in Cotton"(2018M64377)

摘要/Abstract

摘要：

【目的】 研究抗旱相关的候选基因,为棉花抗旱性鉴定与评价和抗旱基因的挖掘提供理论依据。【方法】 以陆地棉石远321和奎85-174为亲本构建重组自交系中选取的20份极端抗旱和旱敏感材料,将筛选的极端材料分别构建极端抗旱池、极端敏旱池,与亲本进行BSA测序分析,以陆地棉基因组为参考,通过BSA测序分析,挖掘抗旱相关的候选基因。【结果】 关联到3个相关的候选区域,候选区域的总长度为6.12 Mb,其中共包含86个基因。结合GO注释、KEGG通路和前期筛选出的5个关键指标,共筛选出5个候选基因。【结论】 5个基因在叶片中的表达量显著高于根和茎,并且在抗旱性强材料中的表达量均高于抗旱性弱的材料,且总体呈先上升后下降的趋势。

关键词: 陆地棉; 抗旱性; BSA; 基因表达

Abstract:

【Objective】 To discover candidate genes related to drought resistance in the hope of providing theoretical basis for subsequent identification and identification and evaluation of drought resistance of cotton and research on drought resistance genes.【Methods】 In this experiment, 20 extreme drought and drought sensitive materials selected from recombinant inbred lines were constructed from Upland Cotton Shiyuan 321 and Kui 85-174.The extreme drought and extremely sensitive drought pools were constructed respectively, BSA sequencing was analyzed with the parents, and candidate genes were mined by BSA sequencing analysis using the upland cotton genome as a reference.【Results】 The results showed that they were finally associated with 3 related candidate regions.The total length of the candidate regions was 6.12 Mb, which contained a total of 86 genes.Combining GO annotation, KEGG pathway and five key indicators selected in the previous stage, through qRT-PCR detection and analysis, a total of 5 candidate genes were finally determined.【Conclusion】 The expression levels of the five genes in leaves were significantly higher than those in roots and stems.And the expression levels in drought-resistant materials were all higher materials with weak drought resistance, and the overall trend was “rising first and then falling”.

Key words: Gossypium hirsutum L; drought resistance; BSA; gene expression

中图分类号:

S562

孙丰磊, 任姣姣, 雷斌, 高文伟, 曲延英. 基于BSA分析技术对陆地棉抗旱基因的鉴定[J]. 新疆农业科学, 2023, 60(10): 2341-2351.

SUN Fenglei, REN Jiaojiao, LEI Bin, GAO Wenwei, QU Yanying. QTL mapping and genomic selection of maize leaf width[J]. Xinjiang Agricultural Sciences, 2023, 60(10): 2341-2351.

图/表 15

参考文献 33

[1]	郭红媛, 贾举庆, 段娜, 等. 燕麦microRNAs及其靶基因的生物信息学预测[J]. 山西农业科学, 2014, 42(5):428-431.
	GUO Hongyuan, JIA Juqing, DUAN Na, et al. Bioinformatic Prediction of microRNAs and Their Target Genes in Oat[J]. Journal of Shanxi Agricultural Sciences, 2014, 42(5):428-431.
[2]	Schneeberger K, Weigel D. Fast-forward genetics enabled by new sequencing technologies[J]. Trends in Plant Science, 2011, 16 (5): 282-288. DOI PMID
[3]	齐兰. 基于野生稻染色体置换系的粒型QTL分析和qGL12.2的精细定位[D]. 海口: 海南大学, 2017.
	QI Lan. Grain type QTL analysis and fine mapping of qGL12.2 based on chromosome replacement lines in wild rice[D]. Haikou: Hainan University, 2017.
[4]	Michelmore R W, Paran I, Kesseli R V. Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations[J]. Proceedings of the National Academy of Sciences, 1991, 88(21):9828-9832. DOI URL
[5]	Schneeberger K, Weigel D. Fast-forward genetics enabled by new sequencing technologies[J]. Trends in Plant Science, 2011, 16 (5): 282-288. DOI PMID
[6]	Lindner H, Raissig M T, Sailer C, et al. SNP-Ratio Mapping (SRM): Identifying lethal alleles and mutations in complex genetic backgrounds by next-generation sequencing[J]. Genetics, 2012, 191(4): 1381-1476. DOI PMID
[7]	Greenberg M V C, Ausin I, Chan S W L, Cokus S J, et al. Identification of genes required for de novo DNA methylation in Arabidopsis[J]. Epigenetics, 2011, 6(3): 344-354. DOI PMID
[8]	Abe A, Kosugi S, Yoshida K, et al. Genome sequencing reveals agronomically important loci in rice using Mut Map[J]. Nature Biotechnology, 2012, 30(2), 174-178. DOI
[9]	Takagi H, Tamiru M, Abe A, et al. Mut Map accelerates breeding of a salt-tolerant rice cultivar[J]. Nature Biotechnology, 2015, 33(5):445-449. DOI
[10]	陈忠明, 邹江石, 朱立煌, 等. 用分群分析法(BSA)鉴别与秋稻品种Aus373广亲和基因连锁的RFLP标记[J]. 江苏农业学报, 1996,(4):5-10.
	CHEN Zhongming, ZOU Jiangshi, ZHU Lihuang, et al. Identification of RFLP Markers Linked with Wide Compatibility Gene in Variety Aus373of Ecotype Aus of Rice by Using Bulked Segregant Analysis[J]. Jiangsu Journal of Agricultural Sciences, 1996,(4):5-10.
[11]	陆光远, 杨光圣, 傅廷栋. 甘蓝型油菜显性细胞核雄性不育基因的AFLP标记[J]. 作物学报, 2004,(2):104-107.
	LU Guangyuan, YANG Guangsheng, FU Tingdong. Identification of AFLP Markers Linked to the Dominant Genic Male Sterility Gene in Brassica napus L.[J]. Acta Agronomica Sinica, 2004,(2):104-107.
[12]	李传友, 郑洪刚, 翁曼丽, 等. 光敏核不育水稻等位突变系的AFLP分析[J]. 生物工程学报, 2000,(1):95-99.
	LI Chuanyou, ZHENG Honggang, WENG Manli, et al. AFLP Analysis of Photoperiod-sensitive Genic Male Sterile(PGMS) Rice Mutant Lines[J]. Chinese Journal of Biotechnology, 2000,(1):95-99.
[13]	张显, 王鸣, 张进升, 等. 西瓜隐性核雄性不育基因的RAPD标记[J]. 园艺学报, 2005, 32(3):438-442.
	ZHANG Xian, WANG Ming, ZHANG Jinsheng. Identification RAPD Markers Linked to Male Sterility in Watermelon[J]. Acta Horticulturae Sinica, 2005, 32(3):438-442.
[14]	Wang Y G, Xing Q H, Deng Q Y, et al. Fine mapping of the rice thermo-sensitive genic male-sterile gene tms5[J]. Theoretical and Applied Genetics, 2003, 107(5):917-921. DOI PMID
[15]	Geng X, Jiang C, Yang J, et al. Rapid Identification of Candidate Genes for Seed Weight Using the SLAF-Seq Method in Brassica napus[J]. PLoS ONE, 2016, 11(1). DOI.10.1371/journal.pone.0147580
[16]	Hong Z, Hong P Y, Wu M Z, et al. Mapping the Flavor Contributing Traits on "Fengwei Melon" (Cucumis melo L.) Chromosomes Using Parent Resequencing and Super Bulked-Segregant Analysis[J]. PLoS ONE, 2017, 11(2). DOI.10.1371/journal.pone.0148150
[17]	Zheng W J, Wang Y, Wang L L, et al. Genetic mapping and molecular marker development for Pi65 (t), a novel broad-spectrum resistance gene to rice blast using next-generation sequencing[J]. Theor Appl Genet, 2016, 129(5):1035-1044. DOI URL
[18]	Zhang P, Zhu Y Q, Wang L L, Chen L P, et al. Mining candidate genes associated with powdery mildew resistance in cucumber via super-BSA by specific length amplified fragment (SLAF) sequencing[J]. BMC Genomics, 2015, 16:1058-1062. DOI PMID
[19]	Chen S, Wang L, Que Z, et al. Genetic and physical mapping of Pi37 (t), a new gene conferring resistance to rice blast in the famous cultivar St.No.1[J]. Theoretical and Applied Genetics, 2005, 111(8):1563-1570. DOI URL
[20]	Feng S, Wang L, Ma J, et al. Genetic and physical mapping of AvrPi7, a novel avirulence gene of Magnaporthe oryzae using physical position-ready markers[J]. Chinese Science Bulletin, 2007, 52(7):903-911. DOI URL
[21]	Qin D D, Dong J, Xu F C, et al. Characterization and fine mapping of a novel barley Stage Green-Revertible Albino Gene ( HvSGRA ) by Bulked Segregant Analysis based onSSR assay and Specific Length Amplified Fragment Sequencing[J]. BMC Genomics, 2015, 16(1):e0135430.
[22]	杜威世, 杜雄明, 马峙英. 棉花黄萎病抗性基因SSR标记研究[J]. 西北农林科技大学学报(自然科学版), 2004,(3):20-24.
	DU Weishi, DU Xiongming, MA Zhiying. Studies on SSR markers of resistance gene of V erticillium wilt in cotton[J]. Journal of Northwest A&F University (Social Science Edition), 2004,(3):20-24.
[23]	Hayes A J, Maroof M S. Targeted resistance gene mapping in soybean using modified AFLPs[J]. Theoretical and Applied Genetics, 2000, 100(8):1279-1283. DOI URL
[24]	李东晓. 干旱对棉花叶片的衰老生理及抗氧化酶同工酶谱特征的影响[D]. 保定: 河北农业大学, 2010.
	LI Dongxiao. Effects of drought on senescence physiology and isoenzyme profiles of antioxidant enzymes in cotton leaves[D]. Baoding: Hebei Agricultural University, 2010.
[25]	Turner N C, O'Toole J C, Cruz R T, et al. Responses of seven diverse rice cultivars to water deficits I.Stress development, canopy temperature, leaf rolling and growth[J]. Field Crops Research, 1986, 13:257-271. DOI URL
[26]	武维华. 植物生理学[M]. 北京: 科学出版社, 2003.
	WU Weihua. Plant Biology[M]. Beijing: Science Press, 2003.
[27]	Quarrie S A, Pekic S, Stojanovic J. Improving drought resistance in small-gained cereals: A case studyprogress and prospects[J]. Plant Growth Regulation, 1999, 29:1-21. DOI URL
[28]	桑晓慧. 陆地棉抗旱性综合评价及抗旱相关的分子标记挖掘[D]. 北京: 中国农业科学院研究生院, 2017.
	SANG Xiaohui. Comprehensive evaluation of drought resistance of upland cotton and mining of molecular markers related to drought resistance[D]. Beijing: Graduate School of Chinese Academy of Agricultural Sciences, 2017.
[29]	Han Y C, Lv P, Hou S L, et al. Combining next generation sequencing with bulked segregant analysis to fine map a stem moisture locus in sorghum (Sorghum bicolor L.Moench)[J]. PLoS One, 2015, 10(5), 1-14.
[30]	陈浣, 夏菲, 吴新儒, 孙玉合. 集群分离分析法在植物基因定位上的应用[J]. 基因组学与应用生物学, 2016, 35(6):1546-1551.
	CHEN Huan, XIA Fei, WU Xinru, SUN Yuhe. Application of cluster segregation analysis method in plant gene mapping[J]. Genomics and Applied Biology, 2016, 35(6):1546-1551.
[31]	贾秀苹, 卯旭辉, 岳云, 等. 利用BSA-Seq方法鉴定向日葵耐盐候选基因[J]. 中国油料作物学报, 2018, 40(6):777-784. DOI
	JIA Xiuping, MAO Xuhui, YUE Yun, et al. Identification of major salt - tolerant genes via BSA - Seq method in sunflower[J]. Chinese Journal of Oil Crop Sciences, 2018, 40(6):777-784. DOI
[32]	刘梦雨, 刘小丰, 江东, 等. 利用重测序-BSA分析鉴定金柑油泡发育相关基因[J]. 园艺学报, 2019, 46(5):841-854.
	LIU Mengyu, LIU Xiaofeng, JIANG Dong, et al. Identification of Genes Related to Oil Gland Development in Kumquat byUsing BSA-Seq[J]. Acta Horticulturae Sinica, 2019, 46(5):841-854.
[33]	张尧锋, 张冬青, 余华胜, 等. 基于极端混合池(BSA)全基因组重测序的甘蓝型油菜有限花序基因定位[J]. 中国农业科学, 2018, 51(16):3029-3039. DOI
	ZHANG Yaofeng, ZHANG Dongqing, YU Huasheng, et al. Location and Mapping of the Determinate Growth Habit of Brassica napus by Bulked Segregant Analysis (BSA) Using Whole Genome Re-Sequencing[J]. Scientia Agricultura Sinica, 2018, 51(16):3029-3039.

样品编号 ID	过滤后的 reads数 Clean Reads	过滤后的碱基数 Clean Base	Q30含量 Q30 (%)	样品 GC 含量 GC (%)
奎 85-174 Kui 85-174	119 060 015	35 718 004 500	93.61	35.64
石远321 Shiyuan 321	121 194 054	36 358 216 200	93.03	35.73
抗性强池 Strong resistance pool	223 420 448	67 026 134 400	93.38	35.43
抗性弱池 Weak resistance pool	190 811 397	57 243 419 100	93.37	35.59

样品编号 ID	过滤后的 reads数 Clean Reads	过滤后的碱基数 Clean Base	Q30含量 Q30 (%)	样品 GC 含量 GC (%)
奎 85-174 Kui 85-174	119 060 015	35 718 004 500	93.61	35.64
石远321 Shiyuan 321	121 194 054	36 358 216 200	93.03	35.73
抗性强池 Strong resistance pool	223 420 448	67 026 134 400	93.38	35.43
抗性弱池 Weak resistance pool	190 811 397	57 243 419 100	93.37	35.59

样品编号 ID	总reads数 Total reads	比对率 Mapped (%)	测序深度 Depth	覆盖率Cov ratio
样品编号 ID	总reads数 Total reads	比对率 Mapped (%)	测序深度 Depth	1X (%)	5X (%)	10X (%)
奎 85-174 Kui 85-174	238 120 030	99.10	13	98.61	93.02	72.61
石远321 Shiyuan 321	242 388 108	99.07	14	98.58	93.08	73.17
抗性强池 Strong resistance pool	382 622 794	98.93	22	99.41	97.61	92.93
抗性弱池 Weak resistance pool	446 840 896	99.08	26	99.50	98.21	95.73

样品编号 ID	总reads数 Total reads	比对率 Mapped (%)	测序深度 Depth	覆盖率Cov ratio
样品编号 ID	总reads数 Total reads	比对率 Mapped (%)	测序深度 Depth	1X (%)	5X (%)	10X (%)
奎 85-174 Kui 85-174	238 120 030	99.10	13	98.61	93.02	72.61
石远321 Shiyuan 321	242 388 108	99.07	14	98.58	93.08	73.17
抗性强池 Strong resistance pool	382 622 794	98.93	22	99.41	97.61	92.93
抗性弱池 Weak resistance pool	446 840 896	99.08	26	99.50	98.21	95.73

序号 No.	染色体编号 Chromo some ID	关联区域起始位置 Start	关联区域结束位置 End	关联大小 Size (Mb)	基因数目 Gene Number
1	A02	98 457 690	100 146 685	1.69	52
2	A07	3 977 843	8 487 185	4.51	331
3	A10	103 006 562	103 092 019	0.09	1
4	A10	77 360 750	100 680 043	23.32	439
5	D07	35 719 935	40 976 937	5.26	75
6	D07	43 116 892	47 471 182	4.35	81
	Total	-	-	39.22	979

基于BSA分析技术对陆地棉抗旱基因的鉴定

QTL mapping and genomic selection of maize leaf width

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图/表 15

参考文献 33

相关文章 15

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Metrics

序号 No.	染色体编号 Chromo some ID	关联区域起始位置 Start	关联区域结束位置 End	关联大小 Size (Mb)	基因数目 Gene Number
1	A07	8 173 206	8 374 137	0.20	20
2	A10	81 963 832	85 854 861	3.89	38
3	D07	43 758 098	45 777 408	2.02	28
	Total	-	-	6.12	86

GO分类 Categories of GO	GO编号 GO ID	GO分组 GO Term	富集节点的显著性统计 KS
细胞组分 Cellular compo nent	GO:0044435	质体部分0.045
	GO:0044434	叶绿体部分	0.053
	GO:0031967	细胞器膜	0.143
	GO:1990234	转移酶复合体	0.154
	GO:0009507	叶绿体	0.157
	GO:0003964	rna导向的DNA 聚合酶活性	0.000 001 9
分子功能 Molecular Function	GO:0016984	核糖二磷酸羧化酶活性	0.028
	GO:0019904	蛋白质结构域特异性结合	0.034 1
	GO: 0051213	双加氧酶活性	0.056 9
	GO:0019203	碳水化合物磷酸酶活性	0.061 3
	GO:0015074	DNA整合	9.60 E-12
	GO:0006278	依赖RNA的DNA复制	1.40 E-06
生物过程 Biological process	GO:0019400	糖醇代谢过程	0.021
	GO:0071554	细胞壁组织或生物合成	0.051
	GO:1901615	有机羟基化合物代谢过程	0.065

序号 No.	基因 Gene	类型 Type
1	GH_A07G0703	分子功能、细胞组分、生物过程
2	GH_A07G0709	分子功能、细胞组分、生物过程
3	GH_A07G0699	分子功能、细胞组分、生物过程
4	GH_D07G1935	分子功能、细胞组分、生物过程
5	GH_A10G1607	分子功能、细胞组分、生物过程
6	GH_A07G0705	分子功能、细胞组分、生物过程
7	GH_A07G0714	分子功能、生物过程
8	GH_A10G1610	分子功能、细胞组分
9	GH_A10G1596	分子功能、生物过程
10	GH_A10G1602	分子功能、生物过程
11	GH_A10G1608	分子功能、生物过程
12	GH_A10G1623	分子功能、生物过程

序号 No.	基因 Gene	候选基因 Candidate gene	基因注释 Gene annotation
1	GH_A07G0703	RFS	hydrolase activity, hydrolyzing O-glycosyl compounds, sucrose biosyntheti^c
2	GH_A07G0709	PPT1	Phosphoenolpyruvate/phosphate translocator 1, chloroplastic -like protein
3	GH_A07G0699	murG	serine-type endopeptidase activity, regulation of transcription, DNA-templated
4	GH_A07G0705	gmppA	ADP-glucose pyrophosphorylase family protein isoform 1
5	GH_A07G0714	PMT2	S-adenosyl-L-methionine-dependent methyltransferases superfamily protein
6	GH_D07G1935	RBCS	ribulose-1,5-bisphosphate carboxylase/oxygenase small subunit
7	GH_D07G1925	TFT4	protein domain specific binding
8	GH_D07G1939	CRS2B	Chloroplastic group IIB intron splicing facilitator CRS2-B
9	GH_A10G1607	PNC1	class Ⅲ peroxidase
10	GH_A10G1610	ASP1	Aspartate aminotransferase isoform 1
11	GH_A10G1596	HST	Hydroxycinnamoyl-Coenzyme A shikimate/quinate hydroxycinnamoyltransferase -like protein
12	GH_A10G1602	alkB	Alpha-ketoglutarate-dependent dioxygenase AlkB
13	GH_A10G1608	PNC1	Cationic peroxidase 1 (Precursor)
14	GH_A10G1623	TY3B-I	RNA-directed DNA polymerase activity, Transposon Ty3-I Gag-Pol polyprotein
15	GH_A07G0703	RFS	Galactinol-sucrose galactosyltransferase

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