花生种子大小相关性状QTL定位研究进展

doi:10.3724/SP.J.1006.2022.14046

摘要/Abstract

摘要：

花生是我国重要的油料作物和经济作物, 目前国内花生的产量远远不能满足消费者的所需, 进一步提高花生单产是解决花生生产供不应求的重要途径。花生种子大小相关性状是花生的重要农艺性状, 对提高花生单产至关重要。本文综述了植物种子大小的调控途径以及近年来花生分子标记、遗传图谱构建、种子大小相关性状QTL定位研究中取得的进展, 探讨了目前花生种子大小相关性状研究中面临的挑战和机遇, 对花生产量遗传改良进行了展望。

关键词: 花生, 种子大小, 数量性状遗传位点, 连锁分析, 关联分析

Abstract:

Peanut is an important oil and economic crop in China. Currently, the domestic production of peanut remains far below the needs of consumers. Thus, further improving the yield per unit area is a crucial approach to meet the rising market demand. Seed size related traits are important agronomic traits in peanut, fundamentally contributing to improving yield per unit area. This review summarized the research progress on the regulatory pathways of seed size in plants, molecular markers, genetic linkage map construction, and QTL mapping of seed size related traits in peanut. We discussed the frontline challenges and opportunities for the coming researches of peanut seed related traits and the perspectives of yield improvement in peanut.

Key words: peanut, seed size, quantitative trait locus (QTLs), linkage mapping, association mapping

黄莉, 陈玉宁, 罗怀勇, 周小静, 刘念, 陈伟刚, 雷永, 廖伯寿, 姜慧芳. 花生种子大小相关性状QTL定位研究进展[J]. 作物学报, 2022, 48(2): 280-291.

HUANG Li, CHEN Yu-Ning, LUO Huai-Yong, ZHOU Xiao-Jing, LIU Nian, CHEN Wei-Gang, LEI Yong, LIAO Bo-Shou, JIANG Hui-Fang. Advances of QTL mapping for seed size related traits in peanut[J]. Acta Agronomica Sinica, 2022, 48(2): 280-291.

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链接本文: https://zwxb.chinacrops.org/CN/10.3724/SP.J.1006.2022.14046

https://zwxb.chinacrops.org/CN/Y2022/V48/I2/280

图/表 3

图1

表1

花生遗传连锁图谱汇总"

杂交组合 Cross combination	群体 Population size	标记类型 Marker type	位点数 Loci mapped	LG数目 LGs number	图谱长度 Total map distance (cM)	参考文献 Reference
TAG 24 × ICGV 86031	318 RILs	SSR	135	22	1270.5	Varshney et al. 2009^[60]
	318 RILs	SSR	191	22	1785.4	Ravi et al. 2011^[61]
TAG 24 × GPBD 4	268 RILs	SSR	56	14	462.2	Khedikar et al. 2010^[62]
	266 RILs	SSR	188	20	1922.4	Sujay et al. 2012^[63]
TG 26 × GPBD 4	146 RILs	SSR	181	21	1963.0	Sujay et al. 2012^[63]
ICGS 44 × ICGS 76	188 RILs	SSR	82	15	831.4	Gautami et al. 2012^[64]
ICGS 76 × GSMG 84-1	177 RILs	SSR	119	20	2208.2	Gautami et al. 2012^[64]
Satonoka × Kintoki	94 F₂	SSR, TE	1114	21	2166.4	Shirasawa et al. 2012^[65]
Nakateyutaka × YI-0311	186 F₂	SSR, TE	326	20	1332.9	Shirasawa et al. 2012^[65]
SunOleic 97R × NC94022	352 RILs	SSR, CAPs	172	22	920.7	Qin et al. 2012^[66]
	352 RILs	SSR, CAPs	206	20	1780.6	Pandey et al. 2014^[67]
	352 RILs	SSR	248	21	1425.9	Khera et al. 2016^[68]
Tifrunner × GT-C20	94 F₂	SSR	318	21	1674.4	Wang et al. 2012^[33]
	248 RILs	SSR, CAPs	239	26	1213.4	Qin et al. 2012^[66]
	248 RILs	SSR	418	20	1935.4	Pandey et al. 2017^[69]
	91 RILs	SNP	2156	20	3120	Agarwal et al. 2018^[70]
中花5号 × ICGV 86699 Zhonghua 5 × ICGV 86699	166 RILs	SNP, SSR	1685	20	1446.7	Zhou et al. 2014^[50]
中花10号 × ICG 12625 Zhonghua 10 × ICG 12625	232 F₂	SSR	470	20	1877.3	Huang et al. 2015^[71]
	140 RILs	SSR, TE	1219	20	2038.8	Huang et al. 2016^[72]
富川大花生× ICG 6375 Fuchuandahuasheng × ICG 6375	218 F₂	SSR	347	22	1675.6	Chen et al. 2016^[73]
	188 RILs	SSR	609	20	1557.5	Chen et al. 2017^[74]
徐花13 ×中花6号 Xuhua 13 ×Zhonghua 6	282 F₂	SSR	228	22	1337.7	Chen et al. 2016^[73]
	186 RILs	SNP	2595	20	2465.6	Liu et al. 2020^[55]
ICGV 07368 × ICGV 06420	184 F₂	SSR, DArT	854	20	3525.8	Shasidhar et al. 2017^[75]
ICGV 06420 × SunOleic 95R	179 F₂	DArT, DArTseq	1435	20	1869.2	Shasidhar et al. 2017^[75]
远杂9102 ×徐州68-4 Yuanza 9102 × Xuzhou 68-4	195 RILs	SSR	830	20	1386.2	Luo et al. 2017^[38]
	188 RILs	SNP	2187	20	1566.1	Wang et al. 2018^[52]
Huayu 28 × P76	146 RILs	SNP, SSR	2334	20	2586.4	Hu et al. 2018^[53]
Florida-07 × GP-NC WS 16	192 RILs	SNP	2753	20	3695.4	Han et al. 2018^[76]
ZH16 × sd-H1	242 RILs	SNP	2636	20	2098.1	Wang et al. 2018^[51]
Huayu 36 × 6-13	181 RILs	SNP, SSR	3866	20	1266.8	Zhang et al. 2019^[54]
79266 × D893	151 RILs	SSR	231	23	905.2	Li et al. 2019^[77]
TG37A × NRCG-CS85	270 RILs	SNP	585	20	2430.0	Modia et al. 2019^[78]
Xinhuixiaoli × Yueyou 92	314 RILs	SNP	5022	20	2231.3	Khan et al. 2020^[56]
Zheng 8903 × Yuhua 4	212 RILs	SNP	3634	20	1817.9	Liu et al. 2020^[79]

表1

表2

花生种子大小相关性状QTL的汇总"

杂交组合 Cross combination	群体 Population	标记 Marker	性状 Trait	QTL数目 QTLs number	分布连锁群 LGs	表型变异解释率 R²(%)	参考文献 Reference
Satonoka × Kintoki	94 F₂	SSR	籽仁重 Seed weight	1	LG08.2	19.10	Shirasawa et al. 2012^[65]
中花10号 × ICG 12625	232 F_2:3	SSR	种子长 Seed length	3	A3, B2, B3	9.86-10.48	Huang et al. 2015^[71]
Zhonghua 10 × IGG 12625			种子宽 Seed width	4	A2, A3, A7	6.39-12.20	Huang et al. 2015^[71]
			百仁重 Hundred seed weight	3	A8, B2, B3	1.69-17.88	Huang et al. 2015^[71]
富川大花生× ICG 6375	188 RILs	SSR	种子长 Seed length	12	A5, A7, A10, B4, B6, B7	5.44-13.20	Chen et al. 2017^[74]
Fuchuandahuasheng × ICG 6375			种子宽 Seed width	10	A3, A8, A10, B1, B2, B6	6.00-12.80	Chen et al. 2017^[74]
			长宽比 Length to width ratio	9	A2, A3, A7, B2, B4, B6, B7	5.50-11.80	Chen et al. 2017^[74]
			百仁重 Hundred seed weight	9	A2, A7, B4, B6, B8	5.20-10.80	Chen et al. 2017^[74]
ZH16 × sd-H1	242 RILs	SNP	种子长 Seed length	12	A3, A4, A6, B6, B7, B8	4.03-18.21	Wang et al. 2018^[51]
			种子宽 Seed width	4	B7	15.06-18.22	Wang et al. 2018^[51]
			长宽比 Length to width ratio	3	B2, B6	4.50-15.41	Wang et al. 2018^[51]
			百仁重 Hundred seed weight	6	A3, B6, B7, B8	5.17-17.95	Wang et al. 2018^[51]
中花16 × J11	188 RILs	SSR	种子长 Seed length	18	A5, B6	3.3-33.0	曾新颖等2019^[80] Zeng et al. 2019^[80]
Zhonghua 16× J11			种子宽 Seed width	16	A9 B6	4.08-14.27	曾新颖等2019^[80] Zeng et al. 2019^[80]
			长宽比 Length to width ratio	18	A2, A5	3.23-20.30	曾新颖等2019^[80] Zeng et al. 2019^[80]
			百仁重 Hundred seed weight	14	A5, B6	3.43-23.54	曾新颖等2019^[80] Zeng et al. 2019^[80]
Huayu 36 × 6-13	181 RILs	SNP	种子长 Seed length	10	A2, A5, A7, A9, A10	0.74-61.74	Zhang et al. 2019^[54]
			种子宽 Seed width	5	A5, B3, B6	12.12-21.58	Zhang et al. 2019^[54]
			长宽比 Length to width ratio	8	A2, A3, A5, A9	4.47-83.23	Zhang et al. 2019^[54]
			百仁重 Hundred seed weight	4	A2, B6	24.69-35.39	Zhang et al. 2019^[54]
VG 9514 × TAG 24	164 RILs	SSR	百仁重 Hundred seed weight	9	B3, B7, B8	6.71-23.88	Mondal et al. 2019^[81]

表2

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