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Journal of Integrative Agriculture  2026, Vol. 25 Issue (8): 3139-3152    DOI: 10.1016/j.jia.2025.03.007
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
A genome-wide association study revealed that GmRGD14 positively regulates the root dry weight in soybeans

Kaili Ren1*, Jialuo Chen1*, Xuan Cui1, Xiao Li1, Dezhou Hu1, 3, Zhongyi Yang1, Yu’e Zhang1, Yuming Yang1, 4, Deyue Yu1#, Hui Wang1, 2#

1 National Center for Soybean Improvement/National Key Laboratory of Crop Genetics and Germplasm Enhancement/Jiangsu Collaborative Innovation Center for Modern Crop Production/Nanjing Agricultural University, Nanjing 210095, China

2 Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing 210095, China

3 College of Life Sciences, Nanjing Agricultural University, Nanjing 210095, China

4 School of Agriculture, Henan Institute of Science and Technology, Xinxiang 453003, China

 Highlights 
Seven loci containing stable SNPs significantly associated with the root dry weight (RDW) were identified.
GmRGD14 in qRDW14-2 positively regulated the RDW.
GmRGD14 was selected during soybean domestication.
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摘要  根系对作物的生长发育、产量形成及逆境适应具有重要作用。尽管已有研究鉴定出多个与大豆根系形态特征相关的遗传位点,但相关调控基因发掘不足本研究通过全基因组关联分析鉴定出7包含与大豆根干重显著相关的稳定SNP的数量性状位点(QTL),其中qRDW14-2位点显著性最高。在该位点中,编码溶血磷脂酸酰基转移酶LPAT4GmRGD14基因被确定为候选基因,该基因位于显著SNP S14_6521715所在的block63区域。GmRGD14在大豆根组织中高表达,其拟南芥同源基因突变体lpat4侧根数目高于对照Col-0GmRGD14主要定位于细胞膜和内质网。在拟南芥中异源过表达GmRGD14可显著增加侧根数量,与atlpat4突变体表型一致。在大豆毛状根中过表达GmRGD14可显著增加总根长、根尖数、根表面积和根体积,而通过RNA干扰敲低该基因的表达量则呈现相反表型。GmRGD14在野生大豆中具有丰富的遗传变异,并在大豆驯化过程中被逐渐利用。总之,本研究揭示了一个新的调控大豆根系生长的关键基因GmRGD14,为培育强根系的优异大豆品种提供了的分子靶

Abstract  

Roots are vital for crop growth, development, yield, and tolerance to various types of environmental stress.  Numerous genetic loci associated with soybean root morphological traits have been identified, but few genes associated with these traits have been reported.  This study identified seven quantitative trait loci (QTLs) containing stable SNPs significantly associated with the root dry weight in soybeans through a genome-wide association study.  Among these QTLs, qRDW14-2 presented the greatest significance.  In qRDW14-2, the gene GmRGD14, encoding the lysophosphatidic acid acyltransferase LPAT4, was identified as a candidate.  GmRGD14, in block63, which contained the significant SNP S14_6521715, had the highest expression level in soybean roots, and its Arabidopsis homologous mutant lpat4 presented more lateral roots than did the control Col-0.  GmRGD14 was localized primarily to the cell membrane and endoplasmic reticulum.  The heterologous overexpression of GmRGD14 in Arabidopsis significantly increased the lateral root number, which was similar to the phenotype of atlpat4.  Furthermore, overexpression of GmRGD14 resulted in a greater total root length, root tip number, root surface area, and root volume in the hairy roots of transgenic soybean plants than in those of control soybean plants, whereas knockdown of the gene via RNA interference in soybean hairy roots resulted in the opposite phenotype.  GmRGD14, which is highly genetically variable in wild soybean, has been gradually utilized during soybean domestication.  Overall, this study revealed that GmRGD14 is a new key gene involved in root growth, providing a promising genetic target for breeding elite soybean varieties with strong root systems.

Keywords:  soybean       root dry weight       QTL       GmRGD14  
Received: 09 October 2024   Accepted: 12 November 2024 Online: 20 March 2025  
Fund: 

The funding for this research was provided by the Biological Breeding-National Science and Technology Major Project, China (2023ZD04070), the Zhongshan Biological Breeding Laboratory, China (ZSBBL-KY2023-03), and the National Natural Science Foundation of China (32101742, 32072080, and 32090065).

About author:  #Correspondence Hui Wang, Tel: +86-25-84399527, Fax: +86-25-84396410, E-mail: wanghui0@njau.edu.cn; Deyue Yu, Tel/Fax: +86-25-84396410, E-mail: dyyu@njau.edu.cn * These authors contributed equally to this study.

Cite this article: 

Kaili Ren, Jialuo Chen, Xuan Cui, Xiao Li, Dezhou Hu, Zhongyi Yang, Yu’e Zhang, Yuming Yang, Deyue Yu, Hui Wang. 2026. A genome-wide association study revealed that GmRGD14 positively regulates the root dry weight in soybeans. Journal of Integrative Agriculture, 25(8): 3139-3152.

Almeida-Silva F, Pedrosa-Silva F, Venancio T M. 2023. The Soybean Expression Atlas v2: A comprehensive database of over 5000 RNA-seq samples. The Plant Journal116, 1041–1051.

Anderson E J, Ali M L, Beavis W D, Chen P Y, Clemente T E, Diers B W, Graef G L, Grassini P, Hyten D L, McHale L K, Nelson R L, Parrott W A, Patil G B, Stupar R M, Tilmon K J. 2019. Soybean [Glycine max (L.) Merr.] breeding: History, improvement, production and future opportunities. In: Al-Khayri J M, Jain S M, Johnson D V, ed., Advances in Plant Breeding StrategiesLegumes. Springer Publishing, Cham, Switzerland. pp. 431–516.

Angkawijaya A E, Nguyen V C, Nakamura Y. 2017. Enhanced root growth in phosphate-starved Arabidopsis by stimulating de novo phospholipid biosynthesis through the overexpression of LYSOPHOSPHATIDIC ACID ACYLTRANSFERASE 2 (LPAT2). Plant Cell and Environment40, 1807–1818.

Angkawijaya A E, Nguyen V C, Nakamura Y. 2019. LYSOPHOSPHATIDIC ACID ACYLTRANSFERASES 4 and 5 are involved in glycerolipid metabolism and nitrogen starvation response in ArabidopsisNew Phytologist224, 336–351.

Boyes D C, Zayed A M, Ascenzi R, McCaskill A J, Hoffman N E, Davis K R, Görlach J. 2001. Growth stage-based phenotypic analysis of Arabidopsis: A model for high throughput functional genomics in plants. The Plant Cell13, 1499–1510.

Brensha W, Kantartzi S K, Meksem K, Grier R L, Barakat A, Lightfoot D A, Kassem M A. 2012. Genetic analysis of root and shoot traits in the ‘Essex’ by ‘Forrest’ recombinant inbred line (RIL) population of soybean [Glycine max (L.) Merr.]. Journal of Plant Genome Sciences, 1, 1–9.

Cadzow M, Boocock J, Nguyen H T, Wilcox P, Merriman T R, Black M A. 2014. A bioinformatics workflow for detecting signatures of selection in genomic data. Frontiers in Genetics, 5, 293.

Cao S H, Luo X M, Xu D G, Tian X L, Song J, Xia X C, Chu C C, He Z H. 2021. Genetic architecture underlying light and temperature mediated flowering in Arabidopsis, rice, and temperate cereals. New Phytologist230, 1731–1745.

Chen G Q, van Erp H, Martin-Moreno J, Johnson K, Morales E, Browse J, Eastmond P J, Lin J T. 2016. Expression of castor LPAT2 enhances ricinoleic acid content at the sn-2 position of triacylglycerols in lesquerella seed. International Journal of Molecular Sciences17, 507.

Chen H T, Kumawat G, Yan Y L, Fan B J, Xu D H. 2021. Mapping and validation of a major QTL for primary root length of soybean seedlings grown in hydroponic conditions. BMC Genomics22, 132.

Chen S L, Lei Y, Xu X, Huang J Q, Jiang H F, Wang J, Cheng Z S, Zhang J N, Song Y H, Liao B S, Li Y R. 2015. The peanut (Arachis hypogaea L.) gene AhLPAT2 increases the lipid content of transgenic Arabidopsis seeds. PLoS ONE10, e0136170.

Clough S J, Bent A F. 1998. Floral dip: A simplified method for Agrobacterium-mediated transformation of Arabidopsis thalianaThe Plant Journal16, 735–743.

Cronk B C. 2017. How to Use IBM SPSS StatisticsA Step-by-Step Guide to Analysis and Interpretation. 8th ed. Routledge Publishing, New York, USA.

Dong S S, He W M, Ji J J, Zhang C, Guo Y, Yang T L. 2021. LDBlockShow: A fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files. Briefings in Bioinformatics22, bbaa227.

Fageria N K, Moreira A. 2011. The role of mineral nutrition on root growth of crop plants. In: Sparks D L, ed., Advances in Agronomy. Academic Press Publishing, New York, USA. pp. 251–331.

van Gelderen K, Kang C K, Pierik R. 2018. Light signaling, root development, and plasticity. Plant Physiology176, 1049–1060.

Guseman J M, Webb K, Srinivasan C, Dardick C. 2017. DRO1 influences root system architecture in Arabidopsis and Prunus species. The Plant Journal89, 1093–1105.

Hao Y J, Wei W, Song Q X, Chen H W, Zhang Y Q, Wang F, Zou H F, Lei G, Tian A G, Zhang W K, Ma B, Zhang J S, Chen S Y. 2011. Soybean NAC transcription factors promote abiotic stress tolerance and lateral root formation in transgenic plants. The Plant Journal68, 302–313.

Hassidim M, Harir Y, Yakir E, Kron I, Green R M. 2009. Over-expression of CONSTANS-LIKE 5 can induce flowering in short-day grown ArabidopsisPlanta230, 481–491.

Hu D D, Cui R F, Wang K, Yang Y M, Wang R Y, Zhu H Q, He M S, Fan Y K, Wang L, Wang L, Chu S S, Zhang J Y, Zhang S S, Yang Y F, Zhai X H, Lü H Y, Zhang D D, Wang J S, Kong F J, Yu D Y, et al. 2024. The Myb73-GDPD2-GA2ox1 transcriptional regulatory module confers phosphate deficiency tolerance in soybean. The Plant Cell36, 2176–2200.

Hu Y, Liu Y, Tao J J, Lu L, Jiang Z H, Wei J J, Wu C M, Yin C C, Li W, Bi Y D, Lai Y C, Wei W, Zhang W K, Chen S Y, Zhang J S. 2023. GmJAZ3 interacts with GmRR18a and GmMYC2a to regulate seed traits in soybean. Journal of Integrative Plant Biology65, 1983–2000.

Huang P H, Lu M Y, Li X B, Sun H Y, Cheng Z Y, Miao Y C, Fu Y F, Zhang X M. 2022. An efficient Agrobacterium rhizogenes-mediated hairy root transformation method in a soybean root biology study. International Journal of Molecular Sciences23, 12261.

Hyten D L. 2022. Genotyping platforms for genome-wide association studies: Options and practical considerations. In: Torkamaneh D, Belzile F, eds., Genome-Wide Association Studies. Humana Publishing, New York, USA. pp. 29–42.

Kim H U, Huang A H C. 2004. Plastid lysophosphatidyl acyltransferase is essential for embryo development in ArabidopsisPlant Physiology134, 1206–1216.

Kim H U, Li Y B, Huang A H C. 2005. Ubiquitous and endoplasmic reticulum-located lysophosphatidyl acyltransferase, LPAT2, is essential for female but not male gametophyte development in ArabidopsisThe Plant Cell17, 1073–89.

Kim H U, Vijayan P, Carlsson A S, Barkan L, Browse J. 2010. A mutation in the LPAT1 gene suppresses the sensitivity of fab1 plants to low temperature. Plant Physiology153, 1135–1143.

Kim S H, Tayade R, Kang B H, Hahn B S, Ha B K, Kim Y H. 2023. Genome-wide association studies of seven root traits in soybean (Glycine max L.) landraces. International Journal of Molecular Sciences24, 873.

Körbes A P, Kulcheski F R, Margis R, Margis-Pinheiro M, Turchetto-Zolet A C. 2016. Molecular evolution of the lysophosphatidic acid acyltransferase (LPAAT) gene family. Molecular Phylogenetics and Evolution96, 55–69.

Kumar S, Stecher G, Li M, Knyaz C, Tamura K. 2018. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution35, 1547–1549.

Li X, Hu D Z, Cai L Y, Wang H Q, Liu X Y, Du H P, Yang Z Y, Zhang H R, Hu Z B, Huang F, Kan G Z, Kong F J, Liu B H, Yu D Y, Wang H. 2022. CALCIUM-DEPENDENT PROTEIN KINASE38 regulates flowering time and common cutworm resistance in soybean. Plant Physiology190, 480–499.

Li Y, Gu J B, Zhao B Y, Yuan J B, Li C, Lin Y, Chen Y H, Yang X L, Li Y, Wang Z Y. 2024. Identification and confirmation of novel genetic loci and domestication gene GmGA20ox1 regulating primary root length in soybean seedling stage. Industrial Crops and Products217, 118814.

Liang H Z, Yu Y L, Yang H Q, Xu L J, Dong W, Du H, Cui W W, Zhang H Y. 2014. Inheritance and QTL mapping of related root traits in soybean at the seedling stage. Theoretical and Applied Genetics127, 2127–2137.

Liu X Q, Yang Y M, Wang R Y, Cui R F, Xu H Q, Sun C Y, Wang J S, Zhang H Y, Chen H T, Zhang D. 2022. GmWRKY46, a WRKY transcription factor, negatively regulates phosphorus tolerance primarily through modifying root morphology in soybean. Plant Science315, 111148.

Livak K J, Schmittgen T D. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2–ΔΔCT method. Methods25, 402–408.

Lu S J, Dong L D, Fang C, Liu S L, Kong L P, Cheng Q, Chen L Y, Su T, Nan H Y, Zhang D, Zhang L, Wang Z J, Yang Y Q, Yu D Y, Liu X L, Yang Q Y, Lin X Y, Tang Y, Zhao X H, Yang X Q, et al. 2020. Stepwise selection on homeologous PRR genes controlling flowering and maturity during soybean domestication. Nature Genetics52, 428–436.

Mandozai A, Moussa A A, Zhang Q, Qu J, Du Y Y, Anwari G, Amin N A, Wang P W. 2021. Genome-wide association study of root and shoot related traits in spring soybean (Glycine max L.) at seedling stages using SLAF-Seq. Frontiers in Plant Science12, 568995.

Marsh J. 2022. Linkage disequilibrium statistics and block visualization. In: Edwards D, ed., Plant BioinformaticsMethods and Protocols. Humana Publishing, New York, USA. pp. 483–496.

Misra N, Panda P K, Parida B K. 2014. Genome-wide identification and evolutionary analysis of algal LPAT genes involved in TAG biosynthesis using bioinformatic approaches. Molecular Biology Reports41, 8319–8332.

van Nguyen L, Takahashi R, Githiri S M, Rodriguez T O, Tsutsumi N, Kajihara S, Sayama T, Ishimoto M, Harada K, Suematsu K, Abiko T, Mochizuki T. 2017. Mapping quantitative trait loci for root development under hypoxia conditions in soybean (Glycine max L. Merr.). Theoretical and Applied Genetics130, 743–755.

Noh E, Fallen B, Payero J, Narayanan S. 2022. Parsimonious root systems and better root distribution can improve biomass production and yield of soybean. PLoS ONE17, e0270109.

O’Malley R C, Barragan C C, Ecker J R. 2015. A user’s guide to the Arabidopsis T-DNA insertion mutant collections. In: lonso J, Stepanova A, eds., Plant Functional GenomicsMethods and Protocols. Humana Publishing, New York, USA. pp. 323–342.

Prince S J, Vuong T D, Wu X L, Bai Y H, Lu F, Kumpatla S P, Valliyodan B, Shannon J G, Nguyen H T. 2020. Mapping quantitative trait loci for soybean seedling shoot and root architecture traits in an inter-specific genetic population. Frontiers in Plant Science11, 1284.

Shaikh A A, Alamin A, Jia C X, Gong W, Deng X J, Shen Q W, Hong Y Y. 2022. The examination of the role of rice lysophosphatidic acid acyltransferase 2 in response to salt and drought stresses. International Journal of Molecular Sciences, 23, 9796.

Sun M L, Li Y, Zheng J Q, Wu D P, Li C X, Li Z Y, Zang Z W, Zhang Y Z, Fang Q W, Li W B, Han Y P, Zhao X, Li Y G. 2022. A nuclear factor Y-B transcription factor, GmNFYB17, regulates resistance to drought stress in soybean. International Journal of Molecular Sciences23, 7242.

Turner S D. 2018. qqman: An R package for visualizing GWAS results using Q-Q and manhattan plots. The Journal of Open Source Software3, 731.

Wang J B, Zhang Z W. 2021. GAPIT version 3: Boosting power and accuracy for genomic association and prediction. Genomics Proteomics Bioinformatics19, 629–640.

Wang X, Zhou S D, Wang J, Lin W X, Yao X L, Su J Q, Li H Y, Fang C, Kong F J, Guan Y F. 2023. Genome-wide association study for biomass accumulation traits in soybean. Molecular Breeding43, 33.

Wang Z L, Huang C, Niu Y C, Yung W S, Xiao Z X, Wong F L, Huang M K, Wang X, Man C K, Sze C C, Liu A L, Wang Q W, Chen Y L, Liu S, Wu C X, Liu L F, Hou W S, Han T F, Li M W, Lam H M. 2022. QTL analyses of soybean root system architecture revealed genetic relationships with shoot-related traits. Theoretical and Applied Genetics, 135, 4507–4522.

Wattelet-Boyer V, Guédard M L, DIttrich-Domergue F, Maneta-Peyret L, Kriechbaumer V, Boutté Y, Bessoule J J, Moreau P. 2022. Lysophosphatidic acid acyltransferases: A link with intracellular protein trafficking in Arabidopsis root cells? Journal of Experimental Botany73, 1327–1343.

Wayne L L, Gachotte D J, Graupner P R, Adelfinskaya Y, McCaskill D G, Metz J G, Zirkle R, Walsh T A. 2021. Plant and algal lysophosphatidic acid acyltransferases increase docosahexaenoic acid accumulation at the sn-2 position of triacylglycerol in transgenic Arabidopsis seed oil. PLoS ONE16, e0256625.

Wen X X, Zhong Z Z, Xu P, Yang Q Q, Wang Y P, Liu L, Wu Z Z, Wu Y W, Zhang Y X, Liu Q N, Zhou Z P, Peng Z Q, He Y Q, Cheng S H, Cao L Y, Zhan X D, Wu W X. 2024. OsCOL5 suppresses heading through modulation of Ghd7 and Ehd2, enhancing rice yield. Theoretical and Applied Genetics137, 162.

Yang H, Shi G X, Du H Y, Wang H, Zhang Z Z, Hu D Z, Wang J, Huang F, Yu D Y. 2017. Genome-wide analysis of soybean LATERAL ORGAN BOUNDARIES Domain-containing genes: A functional investigation of GmLBD12The Plant Genome10, 1–19.

Yang X F, Kim M Y, Ha J M, Lee S H. 2019. Overexpression of the soybean NAC gene GmNAC109 increases lateral root formation and abiotic stress tolerance in transgenic Arabidopsis plants. Frontiers in Plant Science10, 1036.

Yang Y M, Wang L, Zhang D, Che Z J, Wang Q, Cui R F, Zhao W, Huang F, Zhang H Y, Cheng H, Yu D Y. 2024. Soybean type-B response regulator GmRR1 mediates phosphorus uptake and yield by modifying root architecture. Plant Physiology194, 1527–1544.

Yang Z Q, Luo C F, Pei X X, Wang S B, Huang Y M, Li J W, Liu B H, Kong F J, Yang Q Y, Fang C. 2024. SoyMD: A platform combining multi-omics data with various tools for soybean research and breeding. Nucleic Acids Research52, D1639–D1650.

Ye H, Song L, Chen H T, Valliyodan B, Cheng P, Ali L, Vuong T, Wu C J, Orlowski J, Buckley B, Chen P Y, Shannon J G, Nguyen H T. 2018. A major natural genetic variation associated with root system architecture and plasticity improves waterlogging tolerance and yield in soybean. Plant Cell and Environment41, 2169–2182.

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, Li X Y, Liu X L. 2021. rMVP: A memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study. Genomics Proteomics Bioinformatics19, 619–628.

Yin Y T, Raboanatahiry N, Chen K, Chen X F, Tian T, Jia J, He H S, He J J, Guo Z Y, Yu L J, Li M T. 2022. Class A lysophosphatidic acid acyltransferase 2 from Camelina sativa promotes very long-chain fatty acids accumulation in phospholipid and triacylglycerol. The Plant Journal112, 1141–1158.

Yu B, Wakao S, Fan J L, Benning C. 2004. Loss of plastidic lysophosphatidic acid acyltransferase causes embryo-lethality in ArabidopsisPlant and Cell Physiology45, 503–510.

Zhang C, Dong S S, Xu J Y, He W M, Yang T L. 2019. PopLDdecay: A fast and effective tool for linkage disequilibrium decay analysis based on variant call format files. Bioinformatics35, 1786–1788.

Zhang K, He J J, Yin Y T, Chen K, Deng X, Yu P, Li H X, Zhao W G, Yan S X, Li M T. 2022. Lysophosphatidic acid acyltransferase 2 and 5 commonly, but differently, promote seed oil accumulation in Brassica napusBiotechnology for Biofuels and Bioproducts15, 83.

Zhang W X, Zhi W J, Qiao H, Huang J J, Li S, Lu Q, Wang N, Li Q, Zhou Q, Sun J Q, Bai Y T, Zheng X J, Bai M Y, Breusegem F V, Xiang F N. 2024. H2O2-dependent oxidation of the transcription factor GmNTL1 promotes salt tolerance in soybean. The Plant Cell36, 112–135.

Zhang X Y, Jia H Y, Li T, Wu J Z, Nagarajan R, Lei L, Powers C, Kan C C, Hua W, Liu Z Y, Chen C, Carver B F, Yan L L. 2022. TaCol-B5 modifies spike architecture and enhances grain yield in wheat. Plant Science376, 180–183.

Zhou R N, Wang S H, Liu P Y, Cui Y F, Hu Z B, Liu C Y, Zhang Z G, Yang M L, Li X, Wu X X, Chen Q S, Zhao Y. 2025. Genome-wide characterization of soybean malate dehydrogenase genes reveals a positive role for GmMDH2 in the salt stress response. Journal of Integrative Agriculture24, 2492–2510.

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