冀北坝上大豆结瘤相关性状全基因组关联分析

doi:10.3864/j.issn.0578-1752.2024.11.005

中国农业科学 ›› 2024, Vol. 57 ›› Issue (11): 2102-2113.doi: 10.3864/j.issn.0578-1752.2024.11.005

• 专题：大豆抗病性、产量与品质的相关性 • 上一篇下一篇

冀北坝上大豆结瘤相关性状全基因组关联分析

寿鑫月¹^,²(), 刘智²(), 陈玥含², 李晨辉², 孙宾成³, 孙如建³, 韩德志⁴, 鹿文成⁴, 申永辉⁵, 王晓波¹(), 闫龙²()

¹ 安徽农业大学农学院，合肥 230036
² 河北省农林科学院粮油作物研究所/国家大豆改良中心石家庄分中心/农业农村部黄淮海大豆生物学与遗传育种重点实验室/河北省遗传育种重点实验室，石家庄 050035
³ 呼伦贝尔市农牧科学研究所，内蒙古呼伦贝尔 162650
⁴ 黑龙江省农业科学院黑河分院，黑龙江黑河 164399
⁵ 正定县农业农村局，石家庄 050800

收稿日期:2024-01-19 接受日期:2024-03-26 出版日期:2024-06-01 发布日期:2024-06-07
通信作者:
王晓波，E-mail：wxbphd@163.com。
闫龙，E-mail：dragonyan1979@163.com
联系方式: 寿鑫月，E-mail：sxinyue0229@163.com。刘智，E-mail：zhiliulin@sina.com。寿鑫月和刘智为同等贡献作者。
基金资助:
河北坝上大豆生态适应性遗传基础解析(C20220511); 河北省现代农业产业技术体系(HBCT2023040101); 国家大豆产业技术体系(CARS-04-PS06)

Genome-Wide Association Analysis of Soybean Nodulation-Related Traits in the Northern Hebei

SHOU XinYue¹^,²(), LIU Zhi²(), CHEN YueHan², LI ChenHui², SUN BinCheng³, SUN RuJian³, HAN DeZhi⁴, LU WenCheng⁴, SHEN YongHui⁵, WANG XiaoBo¹(), YAN Long²()

¹ College of Agronomy, Anhui Agricultural University, Hefei 230036
² Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences/National Soybean Improvement Center Shijiazhuang Sub-Center/Huang-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs/Hebei Laboratory of Crop Genetics and Breeding, Shijiazhuang 050035
³ Hulunbuir Institute of Agricultural and Animal Husbandry Sciences, Hulunbuir 162650, Inner Mongolia
⁴ Heihe Branch, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, Heilongjiang
⁵ Zhengding County Agriculture and Rural Bureau, Shijiazhuang 050800

Received:2024-01-19 Accepted:2024-03-26 Published:2024-06-01 Online:2024-06-07

摘要/Abstract

摘要：

【目的】挖掘适应坝上生态条件的高效结瘤大豆种质，鉴定调控大豆-根瘤菌共生结瘤的遗传位点和候选基因，提高大豆共生固氮效率。【方法】以包含260份大豆种质的自然群体为研究对象，在河北坝上室外盆栽条件下接种根瘤菌菌株USDA110。以单株根瘤数量、单株根瘤干重数值作为表型数据，结合大豆260份种质基因型数据，对其进行全基因组关联分析，挖掘大豆共生结瘤相关基因。【结果】共检测到18个与大豆根瘤数量显著关联的SNP，分别位于第2、7、8、13、18和19染色体上。其中，位于第2染色体上的显著关联位点BARC_2.01_Chr02_43161654_A_G是控制大豆根瘤数量的主效位点（LOD=3.89），对该位点上下游共200 kb区间进行连锁不平衡分析，在包含BARC_2.01_Chr02_43161654_A_G的连锁区间内，共获得10个调控大豆根瘤数量候选基因，通过单倍型分析发现，Glyma.02G243200不同单倍型所对应的材料之间的根瘤数量具有显著差异（P<0.05），在SoyBase数据库中查询该基因的表达模式发现，Glyma.02G243200在根毛中表达。该基因可能是影响大豆根瘤数量的关键基因。共检测到6个与大豆根瘤干重显著关联的SNP，分别位于第6、18和20染色体上。其中，位于第6染色体上的显著关联位点BARC_2.01_Chr06_6069381_G_A和BARC_2.01_Chr06_6192925_T_C是控制大豆根瘤干重的主效位点（LOD=3.49和LOD=3.35），对BARC_2.01_Chr06_6069381_G_A上游100 kb和BARC_2.01_Chr06_6192925_T_C下游100 kb区间进行连锁不平衡分析，获得14个调控大豆根瘤干重候选基因，并进行单倍型分析。其中，Glyma.06G079600和Glyma.06G079900不同单倍型所对应的材料之间的根瘤干重具有显著差异（P<0.01，P<0.001），在SoyBase数据库中查询这两个基因的表达模式发现，Glyma.06G079600和Glyma.06G079900在根中表达。这两个基因可能是影响大豆根瘤干重的关键基因。【结论】在第2染色体上发现一个与根瘤数量显著相关的候选基因，在第6染色体上发现2个与根瘤干重显著相关的候选基因。

关键词: 大豆, 根瘤菌, 全基因组关联分析, 根瘤数量, 根瘤干重

Abstract:

【Objective】Exploring efficient nodulation soybean germplasm adapted to the ecological conditions of the Bashang area, identifying genetic loci and candidate genes regulating soybean-rhizobium symbiotic nodulation, and improving soybean symbiotic nitrogen fixation efficiency.【Method】This study utilized a natural population of 260 soybean germplasms as the research object, rhizobium strain USDA110 was inoculated under outdoor potted conditions in the Bashang of Hebei Province. The single plant nodule number and single plant nodule dry weight data were used as phenotypic values. Combined with genotype data of the 260 germplasms, a genome-wide association analysis was conducted to explore genes related to soybean-rhizobium symbiotic nodulation.【Result】A total of 18 SNPs significantly associated with soybean nodule number were detected, located on chromosomes 2, 7, 8, 13, 18, and 19. Among them, the significant associated locus BARC_2.01_Chr02_43161654_A_G on chromosome 2 was identified as the main locus controlling soybean nodule number (LOD=3.89). Linkage disequilibrium analysis within the 200 kb interval upstream and downstream of this locus containing BARC_2.01_Chr02_43161654_A_G identified 10 candidate genes regulating soybean nodule number. There was a significant difference in the number of nodules among the materials corresponding to different haplotypes of Glyma.02G243200 (P<0.05), the expression pattern of this gene was queried in the SoyBase database, and it was expressed in root hairs, indicating that Glyma.02G243200 may be a key gene influencing soybean nodule number. Additionally, six SNPs significantly associated with soybean nodule dry weight were identified, located on chromosomes 6, 18, and 20. Among them, the significant associated loci BARC_2.01_Chr06_6069381_G_A and BARC_2.01_Chr06_6192925_T_C on chromosome 6 were identified as the main loci controlling soybean nodule dry weight (LOD=3.49 and LOD=3.35, respectively). Linkage disequilibrium analysis within the 100 kb interval upstream of BARC_2.01_ Chr06_6069381_G_A and downstream of BARC_2.01_Chr06_6192925_T_C identified 14 candidate genes regulating soybean nodule dry weight. Haplotype analysis revealed significant differences in nodule dry weight for the genes Glyma.06G079600 and Glyma.06G079900 between different haplotype materials (P<0.01, P<0.001), the expression pattern of this gene was queried in the SoyBase database, and they were expressed in roots, indicating that these two genes may be key genes influencing soybean nodule dry weight.【Conclusion】This study identified a candidate gene significantly associated with nodule number on chromosome 2 and two candidate genes significantly associated with nodule dry weight on chromosome 6, providing new genetic resources and references for genetic improvement of soybean nodulation traits.

Key words: soybean, rhizobium, genome-wide association study (GWAS), soybean nodules number, soybean nodules dry weight

寿鑫月, 刘智, 陈玥含, 李晨辉, 孙宾成, 孙如建, 韩德志, 鹿文成, 申永辉, 王晓波, 闫龙. 冀北坝上大豆结瘤相关性状全基因组关联分析[J]. 中国农业科学, 2024, 57(11): 2102-2113.

SHOU XinYue, LIU Zhi, CHEN YueHan, LI ChenHui, SUN BinCheng, SUN RuJian, HAN DeZhi, LU WenCheng, SHEN YongHui, WANG XiaoBo, YAN Long. Genome-Wide Association Analysis of Soybean Nodulation-Related Traits in the Northern Hebei[J]. Scientia Agricultura Sinica, 2024, 57(11): 2102-2113.

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链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2024.11.005

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图/表 6

表1

图1

表2

2023年鉴定的与根瘤数量和根瘤干重显著关联的SNP位点"

性状 Trait	染色体 Chromosome	标记名称 SNP	位置 Position (bp)	LOD值 -log₁₀(P)	贡献率 R²(%)	均值±标准差 Mean±SD
根瘤数量 Nodule number	2	BARC_2.01_Chr02_2559614_A_G	2559614	3.20	1.22	11.19±2.17	9.53±2.64
		BARC_2.01_Chr02_2576535_G_A	2576535	3.08	1.16	11.07±2.14	9.66±2.58
		BARC_2.01_Chr02_43119820_T_C	43119820	3.34	1.24	10.50±2.27	11.65±2.20
		BARC_2.01_Chr02_43152909_T_C	43152909	3.05	1.12	10.52±2.23	11.30±2.22
		BARC_2.01_Chr02_43160129_T_C	43160129	3.62	1.37	10.52±2.15	11.21±1.96
		BARC_2.01_Chr02_43161654_A_G	43161654	3.89	1.49	10.50±2.23	11.15±2.39
		BARC_2.01_Chr02_43230817_G_T	43230817	3.03	1.11	10.72±2.08	11.56±2.51
	7	BARC_2.01_Chr07_37781401_T_C	37781401	3.13	1.15	10.30±2.14	11.86±2.30
	7	BARC_2.01_Chr07_37867888_G_A	37867888	3.09	1.14	10.51±2.16	12.12±2.08
	8	BARC_2.01_Chr08_19418262_A_G	19418262	3.04	1.11	10.66±1.91	11.88±2.52
		BARC_2.01_Chr08_19440300_C_T	19440300	3.06	1.12	10.35±2.11	11.74±2.66
		BARC_2.01_Chr08_19460867_T_C	19460867	3.16	1.16	10.22±2.12	11.46±2.32
		BARC_2.01_Chr08_19664993_C_T	19664993	3.13	1.15	10.50±2.01	11.94±2.31
		BARC_2.01_Chr08_19781668_T_G	19781668	3.84	1.47	10.29±2.02	11.92±2.47
		BARC_2.01_Chr08_19790967_C_T	19790967	3.38	1.26	10.44±2.03	12.18±2.70
	13	BARC_2.01_Chr13_33815541_C_A	33815541	3.15	1.16	10.48±2.11	11.67±2.31
	18	BARC_2.01_Chr18_11323656_G_A	11323656	3.24	1.21	10.56±2.26	10.89±2.21
	19	BARC_2.01_Chr19_38414793_A_G	38414793	3.45	1.34	11.26±2.25	10.23±1.96
根瘤干重 Nodule dry weight	6	BARC_2.01_Chr06_6069381_G_A	6069381	3.49	0.31	0.04±0.01	0.04±0.01
	6	BARC_2.01_Chr06_6192925_T_C	6192925	3.35	0.25	0.04±0.01	0.04±0.01
	18	BARC_2.01_Chr18_56401752_T_G	56401752	3.22	0.35	0.04±0.01	0.04±0.01
	20	BARC_2.01_Chr20_36618731_G_A	36618731	3.05	0.31	0.04±0.01	0.05±0.01
		BARC_2.01_Chr20_38571066_A_G	38571066	3.34	0.38	0.04±0.01	0.05±0.01
		BARC_2.01_Chr20_38608664_A_C	38608664	3.42	0.40	0.04±0.01	0.05±0.02

表2

表3

根瘤数量和根瘤干重潜在相关候选基因"

候选基因 Candidate genes	功能描述 Description	表达模式 Expression pattern	候选基因 Candidate genes	功能描述 Description	表达模式 Expression pattern
Glyma.02G242700	跨膜激酶1 Transmembrane kinase 1	-	Glyma.06G079300	-	根 Root
Glyma.02G242800	跨膜激酶1 Transmembrane kinase 1	-	Glyma.06G079400	-	根 Root
Glyma.02G242900	CYS、MET、PRO和GLY蛋白1 CYS, MET, PRO, and GLY protein 1	根 Root	Glyma.06G079500	功能未知的蛋白质，DUF599 Protein of unknown function, DUF599	花 Flower
Glyma.02G243000	PLATZ转录因子家族蛋白 PLATZ transcription factor family protein	-	Glyma.06G079600	非ATP酶亚基9 Non-ATPase subunit 9	根 Root
Glyma.02G243100	PLATZ转录因子家族蛋白 PLATZ transcription factor family protein	-	Glyma.06G079700	-	根 Root
Glyma.02G243200	RING/FYVE/PhD锌指超家族蛋白 RING/FYVE/PHD zinc finger superfamily protein	花 Flower	Glyma.06G079800	碱性亮氨酸拉链 9 basic leucine zipper 9	根 Root
Glyma.02G243300	-	根 Root	Glyma.06G079900	类钙调蛋白42 Calmodulin like 42	根 Root
Glyma.02G243400	STELAR K+外向整流器 STELAR K+outward rectifier	根和花 Root and flower	Glyma.06G080000	-	根 Root
Glyma.02G243500	五肽重复（PPR）超家族蛋白 Pentatricopeptide repeat (PPR) superfamily protein	根和叶 Root and leaf	Glyma.06G080100	肌球蛋白重链相关 Myosin heavy chain-related	根 Root
Glyma.02G243600	真核天冬氨酰蛋白酶家族蛋白 Eukaryotic aspartyl protease family protein	花和叶 Flower and leaf	Glyma.06G080200	含NAC结构域的蛋白质 38 NAC domain containing protein 38	根 Root
Glyma.06G079100	-	根 Root	Glyma.06G080300	tRNA（鸟嘌呤-N-7）甲基转移酶 tRNA (guanine-N-7) methyltransferase	根 Root
Glyma.06G079200	SAUR样生长素反应蛋白家族 SAUR-like auxin-responsive protein family	根 Root	Glyma.06G080400	线粒体编辑因子21 Mitochondrial editing factor 21	根 Root

表3

图2

图3

参考文献 32

[1]	SONG H, TAYLOR D C, ZHANG M. Bioengineering of soybean oil and its impact on agronomic traits. International Journal of Molecular Sciences, 2023, 24(3): 2256.
[2]	曹丽霞, 赵世锋, 周海涛, 张新军, 石碧红, 刘君馨, 李云霞, 李天亮. 冀北坝上地区荞麦品种的适宜播期分析. 作物杂志, 2019(6): 145-149.
	CAO L X, ZHAO S F, ZHOU H T, ZHANG X J, SHI B H, LIU J X, LI Y X, LI T L. Analysis of suitable sowing date for buckwheat varieties in Bashang Area of northern Hebei. Crops, 2019(6): 145-149. (in Chinese)
[3]	孙勃. 冀北坝上大豆品种引进筛选鉴定及全基因组选择技术体系建立[D]. 保定: 河北农业大学, 2022.
	SUN B. Establishment of the technology system of introducing, screening, identification and genome-wide selection of soybean varieties in Bashang, North Hebei Province[D]. Baoding: Hebei Agricultural University, 2022. (in Chinese)
[4]	陆宇燕, 李丕鹏. 氮肥污染的危害. 沈阳师范大学学报(自然科学版), 2014, 32(1): 1-5.
	LU Y Y, LI P P. Effects of application of nitrogen fertilizer on pollutions. Journal of Shenyang Normal University (Natural Science Edition), 2014, 32(1): 1-5. (in Chinese)
[5]	SANTOS M A, GERALDI I O, GARCIA A A F, BORTOLATTO N, SCHIAVON A, HUNGRIA M. Mapping of QTLs associated with biological nitrogen fixation traits in soybean. Hereditas, 2013, 150(2/3): 17-25.
[6]	HWANG S, RAY J D, CREGAN P B, KING C A, DAVIES M K, PURCELL L C. Genetics and mapping of quantitative traits for nodule number, weight, and size in soybean (Glycine max L.[Merr.]). Euphytica, 2014, 195(3): 419-434.
[7]	NICOLÁS M F, HUNGRIA M, ARIAS C A A. Identification of quantitative trait loci controlling nodulation and shoot mass in progenies from two Brazilian soybean cultivars. Field Crops Research, 2006, 95(2/3): 355-366.
[8]	QI X P, LI M W, XIE M, LIU X, NI M, SHAO G H, SONG C, YIM A K Y, TAO Y, WONG F L, ISOBE S, WONG C F, WONG K S, XU C Y, LI C Q, WANG Y, GUAN R, SUN F M, FAN G Y, XIAO Z X, ZHOU F, PHANG T H, LIU X, TONG S W, CHAN T F, YIU S M, TABATA S, WANG J, XU X, LAM H M. Identification of a novel salt tolerance gene in wild soybean by whole-genome sequencing. Nature Communications, 2014, 5(1): 4340.
[9]	KILEN T C, PALMER R G. Qualitative genetics and cytogenetics. Agronomy, 1987, 16: 135-209.
[10]	张永芳, 黄昆, 马中雨, 范海, 李俊, 常汝镇, 邱丽娟. 大豆苗期固氮相关性状的QTL分析. 大豆科学, 2009, 28(4): 583-587, 604.
	ZHANG Y F, HUANG K, MA Z Y, FAN H, LI J, CHANG R Z, QIU L J. Mapping of QTL for controlling nitrogen fixation in soybean cultivars at seedling stage. Soybean Science, 2009, 28(4): 583-587, 604. (in Chinese)
[11]	张艳娇, 李长育, 王锦辉, 常慧琳, 魏玮, 马超, 姜志浩, 蒋洪蔚, 刘春燕, 尹振功, 高山, 金喜军, 辛大伟, 陈庆山. 大豆共生结瘤相关性状QTL定位信息整合及候选基因分析. 中国油料作物学报, 2017, 39(5): 580-588.
	ZHANG Y J, LI C Y, WANG J H, CHANG H L, WEI W, MA C, JIANG Z H, JIANG H W, LIU C Y, YIN Z G, GAO S, JIN X J, XIN D W, CHEN Q S. Integration of QTL mapping information in soybean symbiotic nodule-related traits and analysis of candidate genes. Chinese Journal of Oil Crop Sciences, 2017, 39(5): 580-588. (in Chinese) doi: 10.7505/j.issn.1007-9084.2017.05.001
[12]	李健依, 王悦, 辛大伟, 李瑞超, 于晶瑶, 黄仕钰, 王新宇, 武小霞, 陈庆山. 大豆结瘤相关QTL优化和候选基因挖掘. 中国油料作物学报, 2020, 42(1): 37-43.
	LI J Y, WANG Y, XIN D W, LI R C, YU J Y, HUANG S Y, WANG X Y, WU X X, CHEN Q S. Optimization analysis of soybean nodule-related QTLs and candidate gene mining. Chinese Journal of Oil Crop Sciences, 2020, 42(1): 37-43. (in Chinese)
[13]	孙志君, 蔡英博, 吕浩, 王洁琦, 刘函西, 文莹楠, 刘春燕, 王锦辉, 辛大伟, 陈庆山. 基于大豆导入系群体结瘤相关性状QTL定位及基因挖掘. 中国油料作物学报, 2020, 42(1): 25-36.
	SUN Z J, CAI Y B, LÜ H, WANG J Q, LIU H X, WEN Y N, LIU C Y, WANG J H, XIN D W, CHEN Q S. QTLs analysis and gene mining of soybean symbiotic nodulation based on introgression lines. Chinese Journal of Oil Crop Sciences, 2020, 42(1): 25-36. (in Chinese)
[14]	TORKAMANEH D, CHALIFOUR F P, BEAUCHAMP C J, AGRAMA H, BOAHEN S, MAAROUFI H, RAJCAN I, BELZILE F. Genome-wide association analyses reveal the genetic basis of biomass accumulation under symbiotic nitrogen fixation in African soybean. Theoretical and Applied Genetics, 2020, 133(2): 665-676. doi: 10.1007/s00122-019-03499-7 pmid: 31822937
[15]	ZHANG B, WANG M D, SUN Y F, ZHAO P, LIU C, QING K, HU X T, ZHONG Z D, CHENG J L, WANG H J, PENG Y Q, SHI J J, ZHUANG L L, DU S, HE M, WU H, LIU M, CHEN S C, WANG H, CHEN X, FAN W, TIAN K W, WANG Y, CHEN Q, WANG S X, DONG F M, YANG C Y, ZHANG M C, SONG Q J, LI Y G, WANG X L. Glycine max NNL1 restricts symbiotic compatibility with widely distributed bradyrhizobia via root hair infection. Nature Plants, 2021, 7(1): 73-86.
[16]	周相娟. 根瘤菌、铵态氮、光照强度对大豆固氮和光合作用影响的研究[D]. 北京: 中国科学院研究生院(植物研究所), 2006.
	ZHOU X J. Effects of rhizobia, NH₄⁺-fertilizer and light strength on nitrogen fixation and photosynthesis of soybean[D]. Beijing: Chinese Academy of Sciences (Institute of Botany), 2006. (in Chinese)
[17]	ZHOU Z, LAKHSSASSI N, CULLEN M A, EL BAZ A, VUONG T D, NGUYEN H T, MEKSEM K. Assessment of phenotypic variations and correlation among seed composition traits in mutagenized soybean populations. Genes, 2019, 10(12): 975.
[18]	吕晓晨. 氮素营养调控大豆结瘤固氮的生理机制研究[D]. 哈尔滨: 东北农业大学, 2021.
	LÜ X C. Study on the physiological mechanism of nitrogen nutrition regulating soybean nodulation and nitrogen fixation[D]. Harbin: Northeast Agricultural University, 2021. (in Chinese)
[19]	TEAM R C. R: A language and environment for statistical computing. MSOR Connections, 2014.
[20]	SONG Q J, HYTEN D L, JIA G F, QUIGLEY C V, FICKUS E W, NELSON R L, CREGAN P B. Development and evaluation of SoySNP50K, a high-density genotyping array for soybean. PLoS ONE, 2013, 8(1): e54985.
[21]	YIN L L, ZHANG H H, TANG Z S, XU J Y, YIN D, ZHANG Z W, YUAN X H, ZHU M J, ZHAO S H, LIU X L. rMVP: A memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study. Genomics, Proteomics & Bioinformatics, 2021, 19(4): 619-628.
[22]	CAO Y C, JIA S H, CHEN L X, ZENG S N, ZHAO T J, KARIKARI B. Identification of major genomic regions for soybean seed weight by genome-wide association study. Molecular Breeding, 2022, 42(7): 38.
[23]	王象然, 张大勇, 郑伟, 张振宇, 徐杰飞, 赵星棋, 孙长恒, 吴雨恒. 代表性春大豆种质资源叶片蔗糖含量全基因组关联分析. 大豆科学, 2024, 43(1): 13-20.
	WANG X R, ZHANG D Y, ZHENG W, ZHANG Z Y, XU J F, ZHAO X Q, SUN C H, WU Y H. Genome-wide association study of sucrose content in leaves of representative spring soybean germplasm resources. Soybean Science, 2024, 43(1): 13-20. (in Chinese)
[24]	JIANG S Y, JARDINAUD M F, GAO J P, PECRIX Y, WEN J Q, MYSORE K, XU P, SANCHEZ-CANIZARES C, RUAN Y T, LI Q, ZHU M J, LI F Y, WANG E T, POOLE P S, GAMAS P, MURRAY J D. NIN-like protein transcription factors regulate leghemoglobin genes in legume nodules. Science, 2021, 374(6567): 625-628. doi: 10.1126/science.abg5945 pmid: 34709882
[25]	KE X L, XIAO H, PENG Y Q, WANG J, LV Q, WANG X L. Phosphoenolpyruvate reallocation links nitrogen fixation rates to root nodule energy state. Science, 2022, 378(6623): 971-977. doi: 10.1126/science.abq8591 pmid: 36454840
[26]	杨珺凯, 沈阳, 才晓溪, 邬升杨, 李建伟, 孙明哲, 贾博为, 孙晓丽. 大豆PHD家族蛋白的全基因组鉴定及表达特征分析. 作物杂志, 2019(3): 55-65.
	YANG J K, SHEN Y, CAI X X, WU S Y, LI J W, SUN M Z, JIA B W, SUN X L. Genome-wide identification and expression patterns analysis of the PHD family protein in Glycine max. Crops, 2019(3): 55-65. (in Chinese)
[27]	HAN G L, QIAO Z Q, LI Y X, YANG Z R, WANG C F, ZHANG Y Y, LIU L L, WANG B S. RING zinc finger proteins in plant abiotic stress tolerance. Frontiers in Plant Science, 2022, 13: 877011.
[28]	YAO C P, WU Y Y, NIE H Z, TANG D Z. RPN1a, a 26S proteasome subunit, is required for innate immunity in Arabidopsis. The Plant Journal, 2012, 71(6): 1015-1028.
[29]	ÜSTÜN S, SHEIKH A, GIMENEZ-IBANEZ S, JONES A, NTOUKAKIS V, BÖRNKE F. The proteasome acts as a hub for plant immunity and is targeted by Pseudomonas type III effectors. Plant Physiology, 2016, 172(3): 1941-1958.
[30]	曹绍玉, 王艳芳, 苏婉玉, 张琳, 张应华, 许俊强. 类钙调蛋白在植物生长发育及逆境胁迫中的功能研究进展. 植物生理学报, 2018, 54(10): 1517-1526.
	CAO S Y, WANG Y F, SU W Y, ZHANG L, ZHANG Y H, XU J Q. Research progress on functions of calmodulin-like proteins in processes of plant growth and developments and stresses. Plant Physiology Journal, 2018, 54(10): 1517-1526. (in Chinese)
[31]	ZENG H, ZHU Q, YUAN P, YAN Y, YI K, DU L. Calmodulin and calmodulin-like protein-mediated plant responses to biotic stresses. Plant, Cell & Environment, 2023, 46(12): 3680-3703.
[32]	LIU H, LIN J S, LUO Z P, SUN J, HUANG X W, YANG Y, XU J, WANG Y F, ZHANG P, OLDROYD G E D, XIE F. Constitutive activation of a nuclear-localized calcium channel complex in Medicago truncatula. Proceedings of the National Academy of Sciences of the United States of America, 2022, 119(34): e2205920119.

性状 Trait	平均值 Mean	最大值 Max	最小值 Min	标准差 SD	变异系数 CV (%)	偏度 Skew	峰度 Kurt	遗传力 h²_b
根瘤数量Nodules number	10.62	17.00	6.00	2.24	21.09	0.43	0.15	0.75
根瘤干重Nodules dry weight (g/plant)	0.04	0.08	0.02	0.01	25.00	0.85	1.07	0.70

冀北坝上大豆结瘤相关性状全基因组关联分析

Genome-Wide Association Analysis of Soybean Nodulation-Related Traits in the Northern Hebei

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