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Genome-wide Linkage Analysis of Root System Architecture-related Traits in Common Wheat (Triticum aestivum) |
TIAN Yuan-Yuan1, WANG Ya-Mei2, CHEN Lan-Jun3, JIN Yi-Rong4, LIU Peng4, MENG Xiang-Hai3*, LIU Jin-Dong5* |
1 College of Agronomy,Northwest A&F University (NWAFU), Yangling 712100, China; 2 School of Agriculture and Biotechnology, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China; 3 Dryland Farming Institute, Hebei Academy of Agricultural and Forestry Sciences, Hengshui 053000, China; 4 Dezhou Academy of Agriculture Sciences, Dezhou 253015, China; 5 Institute of Crop Science, Chinese Academy of Agriculture Sciences, Beijing 100081, China |
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Abstract For a long time, the production of common wheat (Triticum aestivum) in the Huang-Huai and northern regions of China has been severely threatened by drought stress. Traits related to the root system architecture (RSA) of wheat are closely associated with the absorption and translocation of nutrients and water, which are crucial for high-yield and stable-yield of wheat. Thus, identifying loci for RSA traits and developing available markers are crucial for high and stable yield wheat breeding. In this study, RSA-related traits, including average root diameter (ARD), total root volume (TRV), and root dry weight (RDW), were evaluated in the 'Doumai'/'Shi4185' recombinant inbred line (RIL) population under hydroponics. In addition, both the RILs and parents were genotyped using the wheat 90K SNP array. Using whole genome linkage analysis, 2 loci related to ARD (QARD.caas-2B and QARD.caas-6A), 2 loci related to RDW (QRDW.caas-2A and QRDW.caas-5B), and 1 locus related to TRV (QTRV.caas-3A) were identified and each explaining 6.25%~7.59%, 7.21%~10.30% and 7.59% of the phenotypic variances, respectively. Among these, QARD.caas-6A, QRDW.caas-2A and QTRV.caas-3A were novel loci. The favorable allele of QRDW.caas-5B was contributed by the 'Doumai', whereas the favorable allele of QARD.caas-6A, QRDW.caas-2A and QTRV.caas-3A were originated from 'Shi4185'. Five candidate genes related to plant hormone regulation, stress tolerance, and signal transduction were identified, respectively. Additionally, one competitive allele-specific PCR (KASP) marker, Kasp_2A_RDW (QRDW.caas-2A) was developed and validated in 115 wheat accessions, this marker was significantly associated with wheat RDW. The study provides new genes and available KASP markers for optimizing wheat root RSA, improving wheat resistance to abiotic stress and high and stable yield breeding.
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Received: 11 December 2023
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Corresponding Authors:
*liujindong@caas.cn; mengxianghai5229@163.com
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[1] Alemu A, Feyissa T, Maccaferri M, et al.2021. Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat[J]. BMC Genomics, 22(1): 1-16. [2] Boden S A, McIntosh R A, Uauy C, et al.2023. Updated guidelines for gene nomenclature in wheat[J]. Theoretical and Applied Genetics, 136(4): 72. [3] Dekomah S D, Bi Z, Dormatey R, et al.2022. The role of CDPKs in plant development, nutrient and stress signaling[J]. Frontiers in Genetics, 13: 996203. [4] El Hassouni K, Alahmad S, Belkadi B, et al.2018. Root system architecture and its association with yield under different water regimes in durum wheat[J]. Crop Science, 58(6): 2331-2346. [5] Kanchan M, Ramkumar T R, Himani, et al.2021. Genome-wide characterization and expression profiling of the phospholipase C (PLC) gene family in three orchids of economic importance[J]. Journal of Genetic Engineering and Biotechnology, 19(1): 124. [6] Li C, Wang J, Li L, et al.2022. TaMOR is essential for root initiation and improvement of root system architecture in wheat[J]. Plant Biotechnology Journal, 20(5): 862-875. [7] Liu G, Mullan D, Zhang A, et al.2023. Identification of KASP markers and putative genes for pre-harvest sprouting resistance in common wheat (Triticum aestivum L.)[J]. The Crop Journal, 11(2): 549-557. [8] Liu R X, Wu F K, Xin Y Iet al.2020. Quantitative trait loci analysis for root traits in synthetic hexaploid wheat under drought stress conditions[J]. Journal of Integrative Agriculture, 19(8): 1947-1960. [9] Liu Z, Hartman S, van Veen H, et al.2022. Ethylene augments root hypoxia tolerance via growth cessation and reactive oxygen species amelioration[J]. Plant Physiology, 190(2): 1365-1383. [10] Ma B, Ma T, Xian W, et al.2023a. Interplay between ethylene and nitrogen nutrition: How ethylene orchestrates nitrogen responses in plants[J]. Journal of Integrative Plant Biology, 65(2): 399-407. [11] Ma N, Li N, Yu Z, et al.2023b. The F-box protein SHORT PRIMARY ROOT modulates primary root meristem activity by targeting SEUSS-LIKE protein for degradation in rice[J]. Journal of Integrative Plant Biology, 65(8): 1937-1949. [12] Maccaferri M, El-Feki W, Nazemi G, et al.2016. Prioritizing quantitative trait loci for root system architecture in tetraploid wheat[J]. Journal of Experimental Botany, 67(4): 1161-1178. [13] Maqbool S, Hassan M A, Xia X, et al.2022. Root system architecture in cereals: Progress, challenges and perspective[J]. The Plant Journal, 110(1): 23-42. [14] McGrail R K, McNear Jr D H.2021. Two centuries of breeding has altered root system architecture of winter wheat[J]. Rhizosphere, 19: 100411. [15] Meng L, Li H, Zhang L, et al.2015. QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations[J]. The Crop Journal, 3(3): 269-283. [16] Pflugfelder D, Kochs J, Koller R, et al.2022. The root system architecture of wheat establishing in soil is associated with varying elongation rates of seminal roots: Quantification using 4D magnetic resonance imaging[J]. Journal of Experimental Botany, 73(7): 2050-2060. [17] Qin H, Pandey B K, Li Y, et al.2022. Orchestration of ethylene and gibberellin signals determines primary root elongation in rice[J]. The Plant Cell, 34(4): 1273-1288. [18] Rasheed A, Wen W, Gao F, et al.2016. Development and validation of KASP assays for genes underpinning key economic traits in bread wheat[J]. Theoretical and Applied Genetics, 129(10): 1843-1860. [19] Rathod G R, Pandey R, Chinnusamy V, et al.2022. Deeper root system architecture confers better stability to photosynthesis and yield compared to shallow system under terminal drought stress in wheat (Triticum aestivum L.)[J]. Plant Physiology Reports, 27(2): 250-259. [20] Saad A, Christopher J, Martin A, et al.2023. Fusarium pseudograminearum and F. culmorum affect the root system architecture of bread wheat[J]. The Crop Journal, 11(1): 316-321. [21] Saini D K, Chopra Y, Pal N, et al.2021. Meta-QTLs, ortho-MQTLs and candidate genes for nitrogen use efficiency and root system architecture in bread wheat (Triticum aestivum L.)[J]. Physiology and Molecular Biology of Plants, 27(10): 2245-2267. [22] Sinha S K, Tyagi A, Mandal P K.2019. External nitrogen and carbon source-mediated response on modulation of root system architecture and nitrate uptake in wheat seedlings[J]. Journal of Plant Growth Regulation, 38(1): 283-297. [23] Soriano J M, Alvaro F.2019. Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis[J]. Scientific Reports, 9(1): 10537. [24] Stam D C.1993. The informed muse: The implications of 'the new museology' for museum practice[J]. Museum Management and Curatorship, 12(3): 267-283. [25] Tiwari M, Kumar R, Subramanian S, et al.2023. Auxin-cytokinin interplay shapes root functionality under low-temperature stress[J]. Trends in Plant Science, 28(4):447-459. [26] Voss-Fels K P, Robinson H, Mudge S R, et al.2018. VERNALIZATION1 modulates root system architecture in wheat and barley[J]. Molecular Plant, 11(1): 226-229. [27] Wang N. Yin Z. Zhao Y.et al.2022. An F-box protein attenuates fungal xylanase-triggered immunity by destabilizing LRR-RLP NbEIX2 in a SOBIR1-dependent manner[J]. New Phytologist, 236(6): 2202-2215. [28] Wang S, Wong D, Forrest K, et al.2014. Characterization of polyploid wheat genomic diversity using a high‐density 90 000 single nucleotide polymorphism array[J]. Plant Biotechnology Journal, 12(6): 787-796. [29] Wen W, He Z, Gao F, et al.2017. A high-density consensus map of common wheat integrating four mapping populations scanned by the 90K SNP array[J]. Frontiers in Plant Science, 8: 1389. [30] Xie Q, Fernando K M., Mayes S, et al.2017. Identifying seedling root architectural traits associated with yield and yield components in wheat[J]. Annals of Botany, 119(7): 1115-1129. [31] Xu Y, Yang Y, Wu S, et al.2023. QTL mapping for root traits and their effects on nutrient uptake and yield performance in common wheat (Triticum aestivum L.)[J]. Agriculture, 13(1): 210. [32] Yang M, Wang C, Hassan M, et al.2021a. QTL mapping of seedling biomass and root traits under different nitrogen conditions in bread wheat (Triticum aestivum L.)[J]. Journal of Integrative Agriculture, 20(5): 1180-1192. [33] Yang M, Wang C, Hassan M, et al.2021b. QTL mapping of root traits in wheat under different phosphorus levels using hydroponic culture[J]. BMC Genomics, 22(1): 1-12. [34] Yu Y, Tang J, Liu C, et al.2023. MicroRNA4359b positively regulates the soybean response to salt stress by targeting the f-box protein GmFBX193[J]. Environmental and Experimental Botany, 206: 105177. |
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