用全基因组关联分析筛选甘蓝型油菜叶片叶绿素含量候选基因

荐红举, 霍强, 高玉敏, 李阳阳, 谢玲, 魏丽娟, 刘列钊, 卢坤, 李加纳

Selection of candidate genes for chlorophyll content in leaves of Brassica napus using genome-wide association analysis

Hong-Ju JIAN, Qiang HUO, Yu-Min GAO, Yang-Yang LI, Ling XIE, Li-Juan WEI, Lie-Zhao LIU, Kun LU, Jia-Na LI

表3 最佳模型下叶绿素含量显著位点表

Table 3 Summary of significant SNPs for chlorophyll content by using the best model

环境Environment		位点 SNP		染色体 Chr.		位置 Position		阈值 lg (P-value)	贡献率 R² (%)
2018		S1_12845378		A03		12,845,378		5.73	5.51
		S6_3493805		A06		3,493,805		7.49	7.89
		S6_3812220		A06		3,812,220		6.05	6.10
		S10_4969863		A10		4,969,863		6.25	6.23
		S14_37741561		C04		37,741,561		5.69	5.67
2019		S1_12688640		A01		12,688,640		6.39	8.42
		S1_12540615		A01		12,540,615		6.10	8.24
		S1_10570293		A01		10,570,293		5.93	8.51
		S1_12628926		A01		12,628,926		5.86	8.28
		S1_12540545		A01		12,540,545		5.84	7.67
		S1_12540622		A01		12,540,622		5.83	7.66
环境Environment	位点 SNP			染色体 Chr.		位置 Position		域值 lg (P-value)	贡献率 R² (%)
2019	S1_12628563		A01		12,628,563		5.79		9.76
	S1_12568566		A01		12,568,566		5.78		7.55
	S2_17839296		A02		17,839,296		6.91		9.73
	S3_13514793		A03		13,514,793		5.73		7.72
	S4_547942		A04		547,942		5.93		8.08
	S8_16108365		A08		16,108,365		6.46		8.44
	S8_16192480		A08		16,192,480		5.88		7.80
	S8_16181282		A08		16,181,282		5.78		7.85
	S8_16103637		A08		16,103,637		5.61		7.97
	S8_16181355		A08		16,181,355		5.60		7.29
	S9_10532790		A09		10,532,790		6.18		8.70
	S10_14050715		A10		14,050,715		5.61		7.72
	S12_20495602		C02		20,495,602		5.95		9.35
	S12_22225349		C02		22,225,349		5.74		8.76
	S13_11413088		C03		11,413,088		7.01		10.34
	S13_11423629		C03		11,423,629		6.95		9.31
	S13_11415175		C03		11,415,175		6.61		8.92
	S13_11433444		C03		11,433,444		6.39		8.88
	S13_11433450		C03		11,433,450		6.38		8.87
	S13_9816561		C03		9,816,561		6.06		8.70
	S13_48351338		C03		48,351,338		6.00		8.06
	S13_11249216		C03		11,249,216		5.97		8.22
	S14_7018412		C04		7,018,412		6.81		9.39
	S14_1487936		C04		1,487,936		5.73		7.96
	S14_5798300		C04		5,798,300		5.68		8.45
	S14_36521995		C04		36,521,995		5.60		7.95
	S15_6002527		C05		6,002,527		6.06		8.65
	S16_24042352		C06		24,042,352		6.55		9.94
	S16_14397036		C06		14,397,036		6.31		8.84
	S16_25797577		C06		25,797,577		6.25		8.34
	S16_25797598		C06		25,797,598		6.14		8.15
	S16_25233735		C06		25,233,735		6.14		8.09
	S16_25797558		C06		25,797,558		6.00		8.46
	S16_25234451		C06		25,234,451		5.97		8.45
	S16_25234262		C06		25,234,262		5.92		8.11
	S16_25797570		C06		25,797,570		5.89		8.06
	S16_25234230		C06		25,234,230		5.88		8.31
	S18_31711591		C08		31,711,591		6.32		8.85
	S18_28228959		C08		28,228,959		5.77		8.36
	S19_32818852		C09		32,818,852		5.62		8.15