花生巢式群体的脂肪含量遗传分析

doi:10.3724/SP.J.1006.2021.04138

Abstract

Abstract:

Nested populations can be used to dissect the heredity of complex traits. The genetic models of fat content of F_2:3 families in nested combinations with one common parent and six founder parents were analyzed, aiming to detect the genetic differences among the founders and to provide bases for breeding strategy for fat content improvement in peanut kernels. The common parent was Yuhua 15, an irregular-type variety with high fat content, and the other six founder parents were different botanical varieties with different fat contents. The results showed that the genetic model of fat content traits was different in different combinations. Six crosses were in accordance with three genetic patterns, including none major gene model, one major gene model with additive and dominant effect, and two major genes model with equal additive and dominant effect. The estimated values of various genetic effects were also different. The heritability of the main genes ranged from 32% to 80%, indicating that the gene loci controlling the fat content and their segregation patterns were different in different F_2:3 populations. There were more individuals with high fat content in the offspring from combinations with both parents of high fat content. However, the heritability was low and phenotypic selections for fat content were not suggested in the early generations in such combinations. The offspring from combinations with parents of significantly different fat content had a larger variation range in fat content, and phenotypes with variable fat content were available. In this study, the large variances in the nested populations demonstrated the genetic complexity of fat content and the characteristics of multi major gene regulation. These results provide a comprehensive base for understanding the genetics and regulation of fat content, and the nested populations will be helpful in further QTL detection of fat content in peanut.

Key words: peanut (Arachis hypogaea L.), nested populations, fat content, F_2:3 family, inheritance model

HUANG Bing-Yan, SUN Zi-Qi, LIU Hua, FANG Yuan-Jin, SHI Lei, MIAO Li-Juan, ZHANG Mao-Ning, ZHANG Zhong-Xin, XU Jing, ZHANG Meng-Yuan, DONG Wen-Zhao, ZHANG Xin-You. Genetic analysis of fat content based on nested populations in peanut (Arachis hypogaea L.)[J].Acta Agronomica Sinica, 2021, 47(6): 1100-1108.

Figures/Tables 5

Table 1

Fig. 1

Table 2

Table 3

Fitness test for genetic models"

组合 Cross combination	模型 Models	U₁²	PU₁²	U₂²	PU₂²	U₃²	PU₃²	nW²	PnW²	D_n	PD_n
AC	1对主基因加性显性 1MG-AD	0.0539	0.8164	0.4283	0.5128	2.9528	0.0857	0.1785	0.3143	0.0467	0.2480
	无主基因 0MG	0.4265	0.5137	1.0459	0.3064	2.4383	0.1184	0.2416	0.2045	0.0506	0.1718
	1对主基因负向完全显性 1MG-NCD	0.1073	0.7432	0.5637	0.4528	3.0078	0.0829	0.1927	0.2835	0.0483	0.2129
	2对主基因等加性 2MG-EA	0.4274	0.5132	1.0343	0.3091	2.3592	0.1245	0.2394	0.2074	0.0504	0.1755
BC	2对主基因等显性 2MG-EAD	0.0536	0.8169	0.0023	0.9615	1.1869	0.2760	0.0736	0.738	0.0334	0.7598
	1对主基因加性显性 1MG-AD	0.0248	0.8749	0.0097	0.9216	1.0076	0.3155	0.0586	0.8246	0.0326	0.7864
	无主基因 0MG	0.3584	0.5494	0.1334	0.7150	0.7358	0.3910	0.1308	0.4576	0.0391	0.5727
	1对主基因完全显性 1MG-EAD	0.0516	0.8202	0.0021	0.9637	1.1286	0.2881	0.0688	0.7650	0.0334	0.7615
组合 Cross combination	模型 Models	U₁²	PU₁²	U₂²	PU₂²	U₃²	PU₃²	nW²	PnW²	D_n	PD_n
CE	2对主基因等显性 2MG-EAD	0.0580	0.8097	0.0003	0.9863	0.7465	0.3876	0.0662	0.7798	0.0336	0.8915
	1对主基因加性显性 1MG-AD	0.0241	0.8766	0.0019	0.9655	0.6001	0.4385	0.0419	0.9229	0.0271	0.9812
	2对主基因完全显性 2MG-CD	0.0462	0.8298	0	0.9999	0.6924	0.4053	0.0521	0.8641	0.0303	0.9479
	1对主基因完全显性 1MG-EAD	0.0465	0.8293	0	0.9994	0.6927	0.4052	0.0521	0.8638	0.0304	0.9474
CF	无主基因 0MG	0.2154	0.6426	0.0247	0.8752	1.3671	0.2423	0.0934	0.6303	0.0341	0.7341
	2对主基因等显性 2MG-EAD	0.0791	0.7785	0.0018	0.9660	1.5871	0.2077	0.0770	0.7192	0.0354	0.6928
	2对主基因等加性 2MG-EA	0.2156	0.6424	0.0271	0.8692	1.2986	0.2545	0.0918	0.6386	0.0338	0.7446
	1对主基因加性 1MG-A	0.2160	0.6421	0.0272	0.8691	1.3008	0.2541	0.0919	0.6379	0.0338	0.7440
CG	2对主基因等显性 2MG-EAD	0	0.9982	0.0006	0.9809	0.0109	0.9168	0.0299	0.9766	0.0329	0.9352
	1对主基因加性显性 1MG-AD	0.0051	0.9428	0.0186	0.8914	0.0720	0.7885	0.0430	0.9170	0.0284	0.9821
	2对主基因完全显性 2MG-CD	0.0024	0.9609	0.0212	0.8841	0.1546	0.6942	0.0444	0.9094	0.0291	0.9772
	1对主基因完全显性 1MG-EAD	0.0024	0.9608	0.0213	0.8841	0.1543	0.6945	0.0444	0.9094	0.0291	0.9778
CH	无主基因 0MG	0.0062	0.9374	0.0148	0.9033	0.6243	0.4295	0.1133	0.5313	0.0546	0.3845
	2对主基因等显性 2MG-EAD	0.0009	0.9765	0.0263	0.8712	0.5813	0.4458	0.1173	0.5131	0.0549	0.3795
	2对主基因等加性 2MG-EA	0.0061	0.9379	0.0128	0.9100	0.5685	0.4509	0.1122	0.5362	0.0542	0.3951
	1对主基因加性 1MG-A	0.0061	0.9377	0.0128	0.9101	0.5694	0.4505	0.1122	0.5362	0.0542	0.3949

Table 3

Table 4

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群体代号 Population code	杂交组合 Cross combination	F_2:3家系个数 Number of F_2:3 family
AC	远杂9102×豫花15号 Yuanza 9102×Yuhua 15	472
BC	中花6号×豫花15号 Zhonghua 6×Yuhua 15	392
CE	豫花15号×粤油20 Yuhua 15×Yueyou 20	286
CF	豫花15号×四粒红 Yuhua 15×Silihong	395
CG	豫花15号×伏花生 Yuhua 15×Fuhuasheng	256
CH	豫花15号×NC94022 Yuhua 15×NC94022	269

组合 Cross combination	模型 Models	最大似然值 Maximum likelihood value	AIC值 AIC value
AC	1对主基因加性显性 1MG-AD	-944.2088	1896.418
	无主基因 0MG	-946.4774	1896.955
	1对主基因负向完全显性 1MG-NCD	-944.7637	1897.527
	2对主基因等加性 2MG-EA	-946.4752	1898.950
BC	2对主基因等显性 2MG-EAD	-729.4342	1464.868
	1对主基因加性显性 1MG-AD	-728.9680	1465.936
	无主基因 0MG	-731.3869	1466.774
	1对主基因完全显性 1MG-EAD	-729.4457	1466.891
CE	2对主基因等显性 2MG-EAD	-521.0105	1048.021
	1对主基因加性显性 1MG-AD	-520.7663	1049.533
	2对主基因完全显性 2MG-CD	-521.1385	1050.277
	1对主基因完全显性 1MG-EAD	-521.1419	1050.284
CF	无主基因 0MG	-719.3989	1442.798
	2对主基因等显性 2MG-EAD	-718.5605	1443.121
	2对主基因等加性 2MG-EA	-719.3983	1444.797
	1对主基因加性 1MG-A	-719.4056	1444.811
CG	2对主基因等显性 2MG-EAD	-547.5336	1101.067
	1对主基因加性显性 MG-AD	-548.7668	1105.534
	2对主基因完全显性 2MG-CD	-548.9751	1105.950
	1对主基因完全显性 1MG-EAD	-548.9754	1105.951
CH	无主基因 0MG	-565.0724	1134.145
	2对主基因等显性 2MG-EAD	-564.9840	1135.968
	2对主基因等加性 2MG-EA	-565.0737	1136.147
	1对主基因加性 1MG-A	-565.0762	1136.152

组合 Crosses	模型 Models	m	d_a	d_b	h_a	h_b	Var._mg	h_mg
AC	1对主基因加性显性 1MG-AD	57.5201	1.1342		-2.3266		1.0357	31.9936
	无主基因 0MG
	1对主基因负向完全显性 1MG-NCD	57.2576	1.2970				0.9789	30.2396
	2对主基因等加性 2MG-EA	56.9106	0.2372				0.0660	2.0382
BC	2对主基因等显性 2MG-EAD	55.5452	0.9807				1.1551	47.1385
	1对主基因加性显性 1MG-AD	55.4744	1.0402		2.1944		0.8997	36.7188
	无主基因 0MG
	1对主基因完全显性 1MG-EAD	55.7181	1.2259				0.8773	35.8046
CE	2对主基因等显性 2MG-EAD	54.0134	1.0075				1.2100	52.9489
	1对主基因加性显性 1MG-AD	53.9686	1.0950		2.1686		0.9448	41.3432
	2对主基因完全显性 2MG-CD	54.1576	1.2797	0.1270			0.9596	41.9920
	1对主基因完全显性 1MG-EAD	54.1894	1.2796				0.9498	41.5652
CF	无主基因 0MG
	2对主基因等显性 2MG-EAD	53.6370	0.7674				0.7028	31.3534
	2对主基因等加性 2MG-EA	54.0267	0.2282				0.0604	2.6958
	1对主基因加性 1MG-A	54.0290	0.2888				0.0494	2.2052
组合 Crosses	模型 Models	m	d_a	d_b	h_a	h_b	Var._mg	h_mg
CG	2对主基因等显性 2MG-EAD	51.6018	1.6437				3.6377	79.7548
	1对主基因加性显性 1MG-AD	51.8983	2.3225		1.5772		2.9822	65.3833
	2对主基因完全显性 2MG-CD	51.7690	2.1335	0.1047			2.7537	60.3730
	1对主基因完全显性 1MG-EAD	51.7952	2.1334				2.7468	60.2228
CH	无主基因 0MG
	2对主基因等显性 2MG-EAD	53.8575	0.7166				0.6290	16.0300
	2对主基因等加性 2MG-EA	54.2152	0.3550				0.1469	3.7446
	1对主基因加性 1MG-A	54.2168	0.4650				0.1280	3.2625

Genetic analysis of fat content based on nested populations in peanut (Arachis hypogaea L.)

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