作物学报 ›› 2026, Vol. 52 ›› Issue (6): 1711-1727.doi: 10.3724/SP.J.1006.2026.51096
张献丰1,2(
), 郭利建1, 李康春1,2, 孔斌雪3, 刘玉芳1,2, 车卓1, 杨德龙1,2,3,*(
)
Zhang Xian-Feng1,2(
), Guo Li-Jian1, Li Kang-Chun1,2, Kong Bin-Xue3, Liu Yu-Fang1,2, Che Zhuo1, Yang De-Long1,2,3,*(
)
摘要:
α/β-水解酶蛋白6 (α/β-hydrolasedomain-containing 6, ABHD6)作为丝氨酸水解酶超家族的重要成员, 在调控植物生长发育及环境胁迫响应中发挥重要作用。然而, 目前仍缺乏对小麦(Triticum aestivum L.) ABHD6基因家族的系统性鉴定与分析。本研究综合利用系统进化、蛋白质序列分析、启动子顺式作用元件预测以及单倍型分析等方法, 在小麦基因组中共鉴定出18个TaABHD6家族成员。系统进化与结构分析表明, 小麦TaABHD6蛋白与水稻OsABHD6蛋白亲缘关系较近, 同一进化分支内的成员具有高度相似的保守结构域。启动子分析显示, TaABHD6基因家族启动子区富含多种参与植物生长发育调控的顺式作用元件。通过分析TaABHD6基因家族成员的基因组多态性及其与籽粒表型的关联, 鉴定出8个基因存在不同的单倍型。其中, 3个基因的不同单倍型与籽粒相关性状之间存在显著关联。TaABHD6-5基因的不同单倍型与粒重、粒长、粒宽和粒厚均显著关联。针对TaABHD6-5启动子区域-1045 bp处SNP (A/T)开发KASP分子标记, 在305份小麦种质中进行验证, 发现该功能标记可有效区分2种单倍型, 其中, TaABHD6-5-HapI单倍型品种268份, TaABHD6-5-HapII单倍型品种34份, 杂合子2份, 分型失败1份。籽粒表型数据关联分析表明, TaABHD6-5-HapI是增加粒重的优异单倍型。表达模式分析结果表明, TaABHD6-5在孕穗期的茎、穗以及籽粒发育初期表达较高, 且优异单倍型TaABHD6-5-HapI的表达量显著低于TaABHD6-5-HapII, 表明TaABHD6-5可能为粒重负调控因子。基因序列分析表明, TaABHD6-5受miR160靶向调控。本研究结果为阐明TaABHD6基因调控小麦籽粒发育的生物学功能及其优异单倍型的应用价值提供重要理论支撑。
| [1] | Tadesse W, Sanchez-Garcia M, Assefa S G, et al. Genetic gains in wheat breeding and its role in feeding the world. Crop Breed Genet Genom, 2019, 1: e190005. |
| [2] |
Zakharova N N, Zakharov N G. Wheat grain production in the world and its dynamics. E3S Web Conf, 2024, 480: 03001.
doi: 10.1051/e3sconf/202448003001 |
| [3] |
Thungo Z, Shimelis H, Odindo A, et al. Genetic gain for agronomic, physiological, and biochemical traits and quality attributes in bread wheat (Triticum aestivum L.): a meta-analysis. Euphytica, 2021, 217: 119.
doi: 10.1007/s10681-021-02846-4 |
| [4] |
Mindrebo J T, Nartey C M, Seto Y, et al. Unveiling the functional diversity of the alpha/beta hydrolase superfamily in the plant Kingdom. Curr Opin Struct Biol, 2016, 41: 233-246.
doi: 10.1016/j.sbi.2016.08.005 |
| [5] |
Jochens H, Hesseler M, Stiba K, et al. Protein engineering of α/β-hydrolase fold enzymes. ChemBioChem, 2011, 12: 1508-1517.
doi: 10.1002/cbic.201000771 pmid: 21506229 |
| [6] |
Rauwerdink A, Kazlauskas R J. How the same core catalytic machinery catalyzes 17 different reactions: the serine-histidine- aspartate catalytic triad of α/β-hydrolase fold enzymes. ACS Catal, 2015, 5: 6153-6176.
doi: 10.1021/acscatal.5b01539 pmid: 28580193 |
| [7] |
Du H, Chang Y, Huang F, et al. GID1 modulates stomatal response and submergence tolerance involving abscisic acid and gibberellic acid signaling in rice. J Integr Plant Biol, 2015, 57: 954-968.
doi: 10.1111/jipb.12313 |
| [8] |
Wang Y P, Tang S Q, Chen H Z, et al. Identification and molecular mapping of indica high-tillering dwarf mutant htd4, a mild phenotype allelic mutant of D14 in rice (Oryza sativa L.). Plant Biol, 2017, 19: 851-858.
doi: 10.1111/plb.2017.19.issue-6 |
| [9] |
White A R F, Mendez J A, Khosla A, et al. Rapid analysis of strigolactone receptor activity in a Nicotiana benthamiana dwarf14 mutant. Plant Direct, 2022, 6: e389.
doi: 10.1002/pld3.v6.3 |
| [10] |
Xiong X Y, Yang C J, Jin Y T, et al. ABHD6 suppresses colorectal cancer progression via AKT signaling pathway. Mol Carcinog, 2024, 63: 647-662.
doi: 10.1002/mc.v63.4 |
| [11] |
Poursharifi P, Madiraju S R M, Prentki M. Monoacylglycerol signalling and ABHD6 in health and disease. Diabetes Obes Metab, 2017, 19: 76-89.
doi: 10.1111/dom.2017.19.issue-S1 |
| [12] |
Lian Y K, Lian C F, Wang L, et al. SUPPRESSOR OF MAX2-lIKE 6, 7, and 8 interact with DDB1 BINDING WD REPEAT DOMAIN HYPERSENSITIVE TO ABA DEFICIENT 1 to regulate the drought tolerance and target SUCROSE NONFERMENTING 1 RELATED PROTEIN KINASE 2.3 to abscisic acid response in Arabidopsis. Biomolecules, 2023, 13: 1406.
doi: 10.3390/biom13091406 |
| [13] |
Zou Q M, Zhao L Y, Guan L R, et al. Genomic insights into assembly of α-β hydrolase superfamily genes involved in blast resistance in rice. Plant Sci, 2025, 359: 112605.
doi: 10.1016/j.plantsci.2025.112605 |
| [14] |
Abrouk M, Athiyannan N, Müller T, et al. Population genomics and haplotype analysis in spelt and bread wheat identifies a gene regulating glume color. Commun Biol, 2021, 4: 375.
doi: 10.1038/s42003-021-01908-6 pmid: 33742098 |
| [15] |
Kaur B, Mavi G S, Gill M S, et al. Utilization of KASP technology for wheat improvement. Cereal Res Commun, 2020, 48: 409-421.
doi: 10.1007/s42976-020-00057-6 |
| [16] |
Yang L, Zhao D H, Meng Z L, et al. QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping. Theor Appl Genet, 2020, 133: 857-872.
doi: 10.1007/s00122-019-03511-0 pmid: 31844965 |
| [17] |
Irshad A, Guo H J, Ur Rehman S, et al. Identification of single nucleotide polymorphism in TaSBEIII and development of KASP marker associated with grain weight in wheat. Front Genet, 2021, 12: 697294.
doi: 10.3389/fgene.2021.697294 |
| [18] |
Ur Rehman S, Wang J Y, Chang X P, et al. A wheat protein kinase gene TaSnRK2.9-5A associated with yield contributing traits. Theor Appl Genet, 2019, 132: 907-919.
doi: 10.1007/s00122-018-3247-7 |
| [19] |
Steinegger M, Meier M, Mirdita M, et al. HH-suite3 for fast remote homology detection and deep protein annotation. BMC Bioinform, 2019, 20: 473.
doi: 10.1186/s12859-019-3019-7 |
| [20] |
Tamura K, Stecher G, Kumar S. MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol, 2021, 38: 3022-3027.
doi: 10.1093/molbev/msab120 pmid: 33892491 |
| [21] |
Kirchberger S, Tjaden J, Ekkehard Neuhaus H. Characterization of the Arabidopsis Brittle1 transport protein and impact of reduced activity on plant metabolism. Plant J, 2008, 56: 51-63.
doi: 10.1111/tpj.2008.56.issue-1 |
| [22] |
Wang Y P, Tang H B, DeBarry J D, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res, 2012, 40: e49.
doi: 10.1093/nar/gkr1293 |
| [23] |
Zhang Z, Li J, Zhao X Q, et al. KaKs_Calculator: calculating Ka and Ks through model selection and model averaging. Genom Proteom Bioinform, 2006, 4: 259-263.
doi: 10.1016/S1672-0229(07)60007-2 |
| [24] |
Ma S W, Wang M, Wu J H, et al. WheatOmics: a platform combining multiple omics data to accelerate functional genomics studies in wheat. Mol Plant, 2021, 14: 1965-1968.
doi: 10.1016/j.molp.2021.10.006 pmid: 34715393 |
| [25] |
Ma L, Li T, Hao C Y, et al. TaGS5-3A, a grain size gene selected during wheat improvement for larger kernel and yield. Plant Biotechnol J, 2016, 14: 1269-1280.
doi: 10.1111/pbi.12492 pmid: 26480952 |
| [26] | Masoodi K Z, Lone S M, Rasool R S. Introduction to molecular biology techniques. In: Advanced Methods in Molecular Biology and Biotechnology. Amsterdam: Elsevier, 2021. pp 37-44. |
| [27] |
Zhang B H, Pan X P, Wang Q L, et al. Identification and characterization of new plant microRNAs using EST analysis. Cell Res, 2005, 15: 336-360.
doi: 10.1038/sj.cr.7290302 pmid: 15916721 |
| [28] |
Alashoor K F, Wang J Y, Al-Babili S. The role of hydrolysis in perceiving and degrading the plant hormone strigolactones. Trends Biochem Sci, 2024, 49: 1039-1041.
doi: 10.1016/j.tibs.2024.09.006 pmid: 39384487 |
| [29] |
Bian Z, Wang D L, Liu Y S, et al. Analysis of Populus glycosyl hydrolase family I members and their potential role in the ABA treatment and drought stress response. Plant Physiol Biochem, 2021, 163: 178-188.
doi: 10.1016/j.plaphy.2021.03.057 |
| [30] |
Jiang Y, Qin R D, Wang Y Q, et al. Identification and expression profiles of xyloglucan endotransglycosylase/hydrolase family in response to drought stress in Larix kaempferi. Plants, 2025, 14: 1882.
doi: 10.3390/plants14121882 |
| [31] |
Ding Y H, Feng L Q, Li P, et al. The alpha/beta-hydrolase fold superfamily in Brassica napus: expression profiles and functional implications of clade-3 BnABH proteins in response to abiotic stress. Int J Mol Sci, 2025, 26: 4746.
doi: 10.3390/ijms26104746 |
| [32] |
Ali Z, Raza Q, Atif R M, et al. Genetic and molecular control of floral organ identity in cereals. Int J Mol Sci, 2019, 20: 2743.
doi: 10.3390/ijms20112743 |
| [33] |
Yin X H, Yuan Y, Han X W, et al. Genome-wide identification, characterization, and expression profiling of TaDUF668 gene family in Triticum aestivum. Agronomy, 2023, 13: 2178.
doi: 10.3390/agronomy13082178 |
| [34] |
Li Y, Song Q L, Zhang Y M, et al. Genome-wide identification, characterization, and expression patterns analysis of the SBP-box gene family in wheat (Triticum aestivum L.). Sci Rep, 2020, 10: 17250.
doi: 10.1038/s41598-020-74417-x |
| [35] |
Tian R Z, Yang Y, Chen M H. Genome-wide survey of the amino acid transporter gene family in wheat (Triticum aestivum L.): identification, expression analysis and response to abiotic stress. Int J Biol Macromol, 2020, 162: 1372-1387.
doi: 10.1016/j.ijbiomac.2020.07.302 |
| [36] |
Millar A H, Carrie C, Pogson B, et al. Exploring the function-location nexus: using multiple lines of evidence in defining the subcellular location of plant proteins. Plant Cell, 2009, 21: 1625-1631.
doi: 10.1105/tpc.109.066019 pmid: 19561168 |
| [37] |
Han Y K, Cheng H F, Jiang Y L, et al. Identification and characterization of the BnFAR1/FHY3 gene family and expression analysis under shading and low-temperature responses in Brassica napus L. Agronomy, 2024, 14: 202.
doi: 10.3390/agronomy14010202 |
| [38] |
Schilling S, Kennedy A, Pan S R, et al. Genome-wide analysis of MIKC-type MADS-box genes in wheat: pervasive duplications, functional conservation and putative neofunctionalization. New Phytol, 2020, 225: 511-529.
doi: 10.1111/nph.16122 pmid: 31418861 |
| [39] |
Stern A, Doron-Faigenboim A, Erez E, et al. Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach. Nucleic Acids Res, 2007, 35: W506-W511.
doi: 10.1093/nar/gkm382 pmid: 17586822 |
| [40] |
DeFraia C, Mou Z L. The role of the Elongator complex in plants. Plant Signal Behav, 2011, 6: 19-22.
doi: 10.4161/psb.6.1.14040 pmid: 21248476 |
| [41] |
Maghraby A, Alzalaty M. Genome-wide identification, characterization and evolutionary analysis of betaine aldehyde dehydrogenase (BADH), mitogen-activated protein kinase (MAPK) and sodium/hydrogen exchanger (NHX) genes in maize (Zea mays) under salt stress. Genet Resour Crop Evol, 2024, 71: 4855-4870.
doi: 10.1007/s10722-024-01930-7 |
| [42] |
Li W J, He X, Chen Y, et al. A wheat transcription factor positively sets seed vigour by regulating the grain nitrate signal. New Phytol, 2020, 225: 1667-1680.
doi: 10.1111/nph.16234 pmid: 31581317 |
| [43] |
Xin W, Chen N, Wang J Q, et al. Candidate gene analysis of rice grain shape based on genome-wide association study. Theor Appl Genet, 2024, 137: 241.
doi: 10.1007/s00122-024-04724-8 pmid: 39342533 |
| [44] | Na Z, Yuan Z, Jing W, et al. Seed development, lipid accumulation and its relationship with carbohydrates and protein in Xanthoceras sorbifolia Bunge. Bull Bot Res, 2015, 35: 133-140. |
| [45] |
Zhang Y C, Yuan C, Chen Y Q. Noncoding RNAs and their roles in regulating the agronomic traits of crops. Fundam Res, 2023, 3: 718-726.
doi: 10.1016/j.fmre.2023.02.020 |
| [1] | 姜宇凡, 杨婉晴, 邓元凯, 蒋俊龙, 王若禹, 陈泠, 宁强, 刘易科, 朱展望, 何中虎, 郝元峰, 方正武, 丁富功. 基于小麦RIL群体籽粒相关性状的QTL定位与验证[J]. 作物学报, 2026, 52(7): 1997-2012. |
| [2] | 杨婉晴, 姜宇凡, 刘怡德, 刘易科, 宁强, 王书平. 小麦ANK基因家族鉴定及其对禾谷镰刀菌侵染的响应特征分析[J]. 作物学报, 2026, 52(7): 2013-2026. |
| [3] | 赵辉, 黄义文, 买春艳, 景鹏飞, 孙海艳, 吴培培, 于立强, 李辉利, 周阳, 郭宪瑞, 张宏军. 小麦抗倒伏相关性状全基因组关联分析[J]. 作物学报, 2026, 52(7): 1943-1953. |
| [4] | 翟胜男, 曹新有, 李豪圣, 李吉虎, 李法计, 刘金栋, 夏先春, 吕莹莹, 马瑞峰, 王颖, 耿洪伟, 刘建军. 小麦Pod-A1、Pod-D1和Pod-2D位点等位变异对籽粒过氧化物酶活性的遗传效应分析[J]. 作物学报, 2026, 52(6): 1593-1603. |
| [5] | 习千辉, 徐梓瑗, 刘梦梦, 王宏艺, 郎凯琳, 井震海, 陈锋, 赵磊. 小麦籽粒铜含量的全基因组关联分析及候选基因预测[J]. 作物学报, 2026, 52(6): 1604-1617. |
| [6] | 毛嘉琦, 黄朋雨, 赵佳佳, 郑兴卫, 武棒棒, 郝宇琼, 屈非, 刘成, 马朋涛, 郑军. 山西小麦品种白粉病抗性评价及抗病基因分子检测[J]. 作物学报, 2026, 52(6): 1669-1681. |
| [7] | 胡川, 赵凯男, 黄修利, 吴金芝, 任开明, 王贺正, 付国占, 黄明, 李友军. 一次灌溉下耕作方式和氮肥用量对旱地小麦产量和品质的影响[J]. 作物学报, 2026, 52(6): 1830-1846. |
| [8] | 陈雪燕, 何华川, 李政嘉, 董新盼, 李藕琪, 刘小云, 李丹萍, 陈志伟, 刘国霞, 吕胜源, 吴印莹, 赵振东, 曹新有, 万何平. 水培盐碱复合胁迫下‘济麦60’苗期根系有机酸分泌动态变化及其转录调控机制[J]. 作物学报, 2026, 52(6): 1859-1875. |
| [9] | 彭佳泺, 李颖, 李丹丹, 杨军宁, 郭学峰, 张文姣, 俞晓雪, 周亚荣, 王振玉, 王彩香, 马雄风, 宿俊吉. 陆地棉I类LBD家族成员鉴定及GhLBD6调控开花期的功能和单倍型分析[J]. 作物学报, 2026, 52(6): 1682-1697. |
| [10] | 高沛阳, 李瑾璇, 董宇奎, 石玉, 张振, 张永丽. 测墒补灌下小麦分蘖发生和成穗对施氮量的响应[J]. 作物学报, 2026, 52(6): 1847-1858. |
| [11] | 唐宽强, 李公允, 宋美毅, 赵雪, 常春玲. 大豆株高性状全基因组关联分析及预测模型构建[J]. 作物学报, 2026, 52(6): 1743-1756. |
| [12] | 王壮壮, 武紫君, 张永新, 张芯源, 袁丽雪, 陈如雪, 刘世举, 段剑钊, 冯伟, 王同朝, 王永华. 豫东南黏壤潮土区水氮优化协同提高冬小麦产量和氮素利用效率[J]. 作物学报, 2026, 52(5): 1501-1521. |
| [13] | 何万龙, 耿洪伟, 张飞飞, 米克热阿依·阿巴白克热, 罗紫洋, 李鹏程, 周钊宇, 程宇坤. 基于深度学习的小麦重要病害图像识别系统的研究[J]. 作物学报, 2026, 52(5): 1401-1417. |
| [14] | 张振, 冯连杰, 石玉, 于振文, 张永丽. 节水补灌下不同穗型小麦产量形成差异研究[J]. 作物学报, 2026, 52(5): 1522-1535. |
| [15] | 尚云秋, 赵竹, 陈欢, 丁永刚, 乔玉强, 李玮, 张向前, 曹承富, 杜世州. 长期定位耕作方式对雨养小麦籽粒灌浆和产量形成的影响[J]. 作物学报, 2026, 52(4): 1236-1250. |
|