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作物学报 ›› 2025, Vol. 51 ›› Issue (6): 1480-1488.doi: 10.3724/SP.J.1006.2025.42049

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

基于转录组和AlphaFold对稻瘟菌经典效应蛋白和水稻受体的快速鉴定

凤舞剑1,*(), 冼晓青2, 张新钵1, 曹丹1, 强承魁1   

  1. 1徐州生物工程职业技术学院/徐州市现代农业生物技术重点实验室, 江苏徐州 221006
    2中国农业科学院植物保护研究所/植物病虫害综合治理全国重点实验室, 北京 100193
  • 收稿日期:2024-10-29 接受日期:2025-03-26 出版日期:2025-06-12 网络出版日期:2025-04-07
  • 通讯作者: *凤舞剑, E-mail: fwjedu@126.com
  • 基金资助:
    本研究由江苏省徐州市现代农业产业科技服务项目(KC23139)

Rapid transcriptome and AlphaFold-based identification of classical effector proteins of Magnaporthe oryzae and receptors in rice

FENG Wu-Jian1,*(), XIAN Xiao-Qing2, ZHANG Xin-Bo1, CAO Dan1, QIANG Cheng-Kui1   

  1. 1Xuzhou Polytechnic College of Bioengineering / Xuzhou Key laboratory of Modern ArgoBiotechnology, Xuzhou 221006, Jiangsu, China
    2Institute of Plant Protection, Chinese Academy of Agricultural Sciences / State Key Laboratory for Biology of Plant Diseases and Insect Pests, Beijing 100193, China
  • Received:2024-10-29 Accepted:2025-03-26 Published:2025-06-12 Published online:2025-04-07
  • Contact: *E-mail: fwjedu@126.com
  • Supported by:
    the Modern Agricultural Industry Science and Technology Service Program of Xuzhou City, Jiangsu Province(KC23139)

摘要:

效应蛋白是植物病原菌克服植物免疫的重要武器, 病原菌在侵染初期与植物的斗争中会分泌不同类型的效应子。为了鉴定病原菌关键的经典效应蛋白和与植物互作的靶基因, 拟通过生物信息学和结构生物学建立经典效应蛋白和靶标蛋白的鉴定方案。以稻瘟病菌和水稻为对象, 运用SignalP、TMHMM、PredGPI、PSORT和EffectorP在稻瘟病菌中共鉴定到535个效应蛋白, 主要分为5类。利用稻瘟病菌-水稻互作转录组共鉴定到282个关键效应蛋白, 并构建了稻瘟病菌-水稻的早期效应蛋白-植物互作的共表达网络。利用AlphaFold3预测发现水稻Os06t0633800和Os03t0114400蛋白可能分别为稻瘟病菌MGG_08817和MGG_03865的潜在靶标。利用荧光素酶互作验证发现MGG_08817与Os06t0633800、MGG_03865与Os03t0114400在烟草中存在互作。病原菌效应蛋白和靶标蛋白的快速筛选和鉴定对于植物病害的防治具有重要意义, 该研究成果将有助于鉴定和挖掘重要的病原菌效应蛋白和植物靶基因, 为植物病原菌互作的深入研究提供理论依据, 为植物病害的绿色防控奠定基础。

关键词: 效应蛋白, 稻瘟病菌, 生物信息学, AlphaFold3, 结构生物学

Abstract:

Effector proteins play a crucial role as weapons for plant pathogens to evade host immunity. During the early stages of infection, pathogens secrete various effectors to facilitate invasion. To identify key classical effectors in pathogens and their corresponding plant target genes, we propose establishing a pipeline for the identification of classical effector and target proteins using bioinformatics and structural biology approaches. In this study, 535 effector proteins of Magnaporthe oryzae were identified and classified into five clusters using SignalP, TMHMM, PredGPI, PSORT, and EffectorP, focusing on M. oryzae-rice interactions. A total of 282 key effector proteins were identified, and a co-expression network was constructed to examine early effector protein-plant interactions using transcriptomic data. AlphaFold3 predictions further suggested that the rice proteins Os06t0633800 and Os03t0114400 may serve as potential targets for the M. oryzae effectors MGG_08817 and MGG_03865, respectively. Complementary validation using luciferase assays confirmed the interaction between MGG_08817 and Os06t0633800, as well as MGG_03865 and Os03t0114400, in Nicotiana benthamiana. The rapid screening and identification of effector proteins and their target proteins are of great significance for the prevention and control of plant diseases. The findings of this study contribute to the identification of key effector proteins and plant target genes, providing a theoretical foundation for further research on plant-pathogen interactions and laying the foundation for the green prevention and control of plant diseases.

Key words: effector, Magnaporthe oryzae, bioinformatics, AlphaFold3, structural biology

表S1

引物信息"

基因ID
Gene ID
引物
Primers (5°-3°)
MGG_08817-nLUCF CGGGGGACGAGCTCGGTACATGCAGTTCAGCAGCGTCTT
MGG_08817-nLUCR GGCCCTCTAGAGGATCCCGGGTCGGCCAGGTTGCTCAG
Os06t0633800-cLUCF CGCGTCCCGGGGCGGTACATGGGGATCAGCAGCGAAT
Os06t0633800-cLUCR CCATTTGTTGGATCCCGGTGCCTCCTCTTCCTTA
Os11t0171500-cLUCF CGCGTCCCGGGGCGGTACATGCAGCCGGACCCGAGCG
Os11t0171500-cLUCR CCATTTGTTGGATCCCGGGCTGTTGCTGGGGTTCAAGATC
Os01t0881500-cLUCF CGCGTCCCGGGGCGGTACATGTCTTTTATCAGGCGAGCAG
Os01t0881500-nLUCR CCATTTGTTGGATCCCGGTTGCCATGCGGAGGAGACGAT
MGG_03865-nLUCF CGGGGGACGAGCTCGGTACATGCAGTACTCTTTCGTCA
MGG_03865-nLUCR GGCCCTCTAGAGGATCCCGGGCCCTTGGCCGTGGCGTC
Os12t0198000-cLUCF CGCGTCCCGGGGCGGTACATGGCCGCCACCCACCCCCT
Os12t0198000-cLUCR CCATTTGTTGGATCCCGGCAAGGCGGCAGCGGCGGCGGC
Os03t0114400-cLUCF CGCGTCCCGGGGCGGTACATGCTGCTGGGTGCCATGAGCG
Os03t0114400-cLUCR CCATTTGTTGGATCCCGGCCGCTCCTTGTCGTGCTCG
Os05t0137300-cLUCF CGCGTCCCGGGGCGGTACATGGAGCTCACCGGCGCCGC
Os05t0137300-cLUCR CCATTTGTTGGATCCCGGGTTGTTCACCATGCCCAGGTC

图1

病原菌关键效应蛋白的鉴定及靶标预测 步骤1是利用生物信息学软件对病原菌的效应蛋白进行鉴定; 步骤2是对病原菌侵染植物的组织进行转录组测序; 步骤3是利用转录组对关键的效应蛋白进行鉴定并构建效应蛋白-植物共表达网络; 步骤4是利用AlphaFold2和AlphaFold3对关键效应蛋白和靶标蛋白进行预测; 步骤5是在烟草瞬时转化体系中应用荧光素酶蛋白互补试验对潜在蛋白进行互作分析。"

图2

稻瘟病菌中效应蛋白的鉴定和分类 A: 使用SignalP、TMHMM、PredGPI、PSORT和EffectorP软件鉴定的蛋白占预测总数的百分比; B: 稻瘟病菌中效应蛋白的进化树分析。"

图3

稻瘟病菌效应蛋白与水稻蛋白的共表达网络 A: 稻瘟病菌早期侵染水稻的效应蛋白的表达模式聚类; B: 稻瘟病菌的关键效应蛋白与水稻植物的共表达网络。"

表S2

稻瘟病菌侵染水稻过程中基因表达量"

基因ID
Gene ID
菌丝
Mycelia
侵染18 h
18 hpi
侵染27 h
27 hpi
侵染36 h
36 hpi
侵染45 h
45 hpi
侵染72 h
72 hpi
MGG_17255 0 0 0 0.753751 0.200409 1.431913
MGG_17464 0.138972 41.892132 24.760748 20.904175 67.170906 230.185593
MGG_07631 0.506869 8.481410 9.670527 3.700227 57.031216 91.895981
MGG_00083 0.114181 5.235801 6.219586 3.748849 9.733834 59.239460
MGG_02338 0 14.420203 13.966858 7.742322 8.120709 12.824998
MGG_10780 0.146727 0.212815 2.215416 4.830946 1.675545 2.021810
MGG_11627 0 0.427330 0.537878 0.198117 0.613084 0.466437
MGG_06953 146.714478 485.288666 338.165985 263.463165 608.340759 1172.601318
MGG_17148 1.459471 0.745590 0.903710 2.944307 12.859983 7.360621
MGG_02223 0.449619 3.229893 4.621453 2.686070 15.534658 27.780693
MGG_00614 1.617543 19.561817 56.318729 201.021042 248.328537 53.255600
MGG_17896 0.159584 35.256226 125.908310 499.528748 821.928650 235.933884
MGG_08424 0.074779 0.472508 0.267074 1.043805 6.215064 128.215164
MGG_03585 1.674138 65.188591 59.671570 49.729069 98.430603 103.622948
MGG_05982 1.842014 4.231904 1.872013 2.605174 5.473341 7.713484
MGG_04734 0 1.008953 3.095118 6.043338 14.769470 3.985204
MGG_00703 32.992645 66.290199 63.186798 143.908569 840.641785 1010.649597
MGG_07969 8.917906 27.884703 22.031473 4.109619 79.865547 262.319244
MGG_16265 0 3.299539 5.290225 7.676751 10.250314 2.321794
MGG_03865 260.877991 525.274109 547.012451 2279.177246 2942.782959 2853.946777
MGG_05831 0.007397 0.751872 0.992179 0.410070 0.943066 4.475679
MGG_10732 0 2.292965 1.136307 1.697762 3.375929 1.037170
MGG_08348 0.185881 17.323017 12.431065 121.478874 217.835800 209.850174
MGG_16894 0.930441 1.628039 1.358850 1.404444 3.219430 18.255182
MGG_07538 0 2.538718 3.020896 14.492613 9.192367 3.721628
MGG_07854 0 5.358748 6.913749 48.064220 128.660217 83.133217
MGG_15370 0 2.617825 14.312540 51.785156 150.102982 47.610859
MGG_05875 0.054131 1.214836 1.597411 0.807488 2.407797 72.530922
MGG_08531 0 2.714302 9.417177 26.255445 24.577021 9.719362
MGG_16892 0 11.414752 42.473366 97.778137 183.107819 58.474293
MGG_08946 0 4.129375 9.783558 35.865105 20.042448 4.274564
MGG_16489 0.021482 20.963108 104.029633 226.251160 288.526154 90.455879
MGG_04259 0 0.153700 0 0 0.605864 1.010576
MGG_17014 0 0 0 0.671316 0 0.239907
MGG_07676 0.093011 204.964600 146.625946 177.114594 161.185547 302.318298
MGG_15336 0 35.174416 110.992958 341.990448 567.690430 275.241333
MGG_09439 0 44.028931 32.958935 23.892729 28.325394 17.332642
MGG_07556 0.433481 56.970520 106.988739 143.747421 99.989464 97.601295
MGG_07632 0.334271 8.892016 5.643374 17.234932 64.772163 82.023354
MGG_05442 1.797738 1.391823 1.384843 1.336302 2.779765 2.833737
MGG_04348 0 0.221504 0.512527 0.622584 0.882918 15.924235
MGG_02851 218.240479 214.036148 163.494888 240.838287 708.969360 1463.966431
MGG_15310 1.816979 1.172533 2.186155 2.594455 5.989450 4.370555
MGG_15443 0 24.447313 48.312435 176.858292 1246.597778 404.962952
MGG_10452 1.641885 81.410164 148.883987 109.276634 217.885727 151.949646
MGG_15430 0 1.367593 0.774030 0.422553 1.651445 36.146603
MGG_13133 0 20.589594 60.528149 224.264984 182.658783 52.209202
MGG_08515 0.191301 285.517395 374.139587 168.922058 206.154846 172.425659
MGG_16977 0.087564 26.017286 76.445511 90.959084 120.423859 36.577396
MGG_16964 0 39.423153 48.565060 72.559700 104.952477 64.015396
MGG_17761 0.961641 31.379227 32.836945 36.909153 100.310989 55.256763
MGG_16044 0 0.267209 0.123374 0.242529 0.720407 0.946956
MGG_13283 2.629281 0.992423 0.69251 3.15403 4.611411 4.489262
MGG_05798 0 44.743877 34.192947 4.839165 80.990479 153.617279
MGG_07811 0 0.980799 0.305452 2.842646 7.873525 3.819685
MGG_14926 0.185066 1.220689 0.239310 4.351373 0.577905 0.909044
MGG_08086 0.131114 5.423318 11.221805 58.617786 78.207474 13.285722
MGG_03746 0.119245 3.091695 8.871074 14.501123 18.530806 97.459732
MGG_04735 0 5.108366 14.278303 27.653698 42.630157 15.920763
MGG_10315 7.312995 222.241425 57.984249 159.248978 111.038536 888.866821
MGG_02073 0.095042 3.613248 12.01317 31.107132 42.929787 20.973661
MGG_05127 0.045813 1.123086 1.980597 6.112195 4.661911 1.824994
MGG_00230 0 37.479343 112.014221 406.018433 323.111603 188.643738
MGG_11913 11.487973 11.431678 6.677751 32.869823 18.823277 36.609131
MGG_07900 0.077754 6.367714 28.558994 126.563171 227.046753 72.937408
MGG_10065 0.283542 0.905771 1.643516 8.066230 9.882807 3.310131
MGG_07294 2.900868 5.848397 5.758407 8.918237 5.605621 15.273435
MGG_15371 0 17.401335 87.495537 186.558334 251.729279 75.527222
MGG_14156 0 18.914459 60.195824 121.954086 292.467010 117.026382
MGG_09605 0.075104 147.761322 312.230194 416.435272 443.557495 175.155762
MGG_02647 6.505042 103.358994 159.059189 1180.853638 1712.407593 201.788773
MGG_08355 0 23.578205 37.474998 221.548141 471.852295 677.210876
MGG_17244 2.023556 1.871751 8.24784 4.877617 14.784614 9.302491
MGG_10712 0.050191 3.296805 0.803094 0.252760 1.398015 282.396484
MGG_13670 0 9.103466 6.567798 50.288982 28.065216 5.798130
MGG_16553 0.275134 9.614207 6.328380 18.767288 11.828077 15.059132
MGG_10725 0 0 0.998087 3.089424 3.345790 3.470141
MGG_03338 1.127698 11.054803 4.192903 1.258176 8.480531 173.991592
MGG_12939 0.842741 21.759325 19.90336 36.653149 45.307308 27.097113
MGG_08399 0 58.179398 45.436459 204.835358 101.686340 79.680603
MGG_05406 93.24057 221.933350 108.354462 181.578140 889.812561 1678.518921
MGG_08409 0.06903 0.214024 0.634491 1.088209 3.208851 13.380667
MGG_07677 0 34.383347 29.088520 4.344526 60.422764 199.572067
MGG_10120 0 15.617136 44.939793 103.681252 126.392426 38.986099
MGG_10102 0.018733 61.428253 61.686310 82.226944 52.158844 58.122478
MGG_16714 56.175018 416.861084 571.066772 1017.436951 1276.771851 679.745667
MGG_12049 0 3.406460 1.783524 0.978506 3.892703 4.591908
MGG_00825 0 0.096282 0 0.377669 0 0.104454
MGG_04291 0 0 0 0 0 0.005988
MGG_11967 0 4.956830 25.128031 82.937378 71.978516 23.558235
MGG_13132 0.235403 1.074930 1.324257 1.600951 1.681722 24.626064
MGG_17556 0 0.492939 1.064215 8.041046 10.233992 5.273206
MGG_09421 0 1.489613 8.506800 21.756836 17.324839 6.301574
MGG_14006 0 105.727112 55.483829 34.787659 31.855198 81.883797
MGG_08799 0 88.954887 124.777008 67.525291 86.208450 118.681305
MGG_05424 0 5.312682 12.163464 39.893085 102.154793 66.728661
MGG_07749 0.030774 7.844026 5.636855 1.948959 13.173890 6.257526
MGG_17227 0 2.538778 6.499361 7.106455 28.469315 5.915490
MGG_16570 0 1.026878 0 0 11.470862 111.898651
MGG_16058 28.883915 11.818606 29.240873 100.376366 125.343056 94.864441
MGG_10458 0 0 0 0 0 1.363630
MGG_08546 0.230965 6.952891 11.671268 33.503166 179.362000 175.742050
MGG_09848 0.319704 115.534668 80.971260 572.915955 593.270996 1082.742432
MGG_02341 0 0 0 0 0 0.048511
MGG_17601 0.48066 1.335226 6.271510 17.487476 28.346153 6.653059
MGG_03356 5.583967 14.417516 14.272909 4.894669 20.629911 138.408295
MGG_17721 37.049534 26.167830 21.765776 40.820770 62.349503 52.080006
MGG_18019 0 25.644693 34.861340 88.832527 66.019676 19.741701
MGG_04451 0.026856 20.429190 49.056656 70.903458 112.811546 35.747929
MGG_03326 58.996887 393.658203 261.151489 166.368713 795.570618 1016.316650
MGG_08027 2.466101 3.306250 17.977831 58.868237 49.912117 17.096689
MGG_02635 0.136009 0.714568 2.394238 1.223537 3.464779 1.766082
MGG_15391 0 1.678300 8.596806 17.560293 26.130455 4.251527
MGG_17256 0 0 0 0.541233 0.225229 0.115713
MGG_02502 2.74569 5.167256 5.830646 3.952263 6.244495 40.589489
MGG_07994 0 0.744207 5.921505 18.398266 16.212305 6.981364
MGG_05418 0 0.359597 0.157039 0.797853 2.611156 0.395879
MGG_15031 0 2.765166 9.641239 22.068342 61.850636 36.259357
MGG_18041 0.042451 18.160686 36.549397 41.172569 63.631954 51.609066
MGG_16171 0 20.549713 75.231415 188.001953 191.034348 43.990845
MGG_05538 0 10.793109 29.044323 144.883835 110.874321 67.906525
MGG_18108 0.095314 13.655355 38.789368 111.50872 115.383522 29.078571
MGG_04795 0 111.915016 438.849884 1481.274170 1727.009766 414.860718
MGG_01964 0 32.076530 161.187576 525.545227 310.920715 41.758957
MGG_10080 0.097908 6.251505 29.255259 57.284332 100.647812 71.815292
MGG_07959 0.00375 3.479386 17.604662 68.854492 34.589386 8.990541
MGG_08254 0.650357 2.382379 2.626475 2.162715 3.064279 28.430433
MGG_00992 47.4319 112.298599 80.862457 104.554596 524.887085 1085.384399
MGG_17687 0 2.965784 2.928261 5.214098 1.943630 2.139141
MGG_00245 12.132957 175.176376 180.986572 123.102287 187.437653 210.909378
MGG_12930 5.599339 16.786697 21.167713 20.089449 38.559795 18.415688
MGG_10237 0.034626 384.399567 260.279327 124.545876 493.778534 782.478638
MGG_13108 0.100937 9.192563 5.858110 186.626480 102.656082 37.545582
MGG_01532 0.681665 2.541169 0.963911 1.934908 99.241592 168.035858
MGG_14981 0 0 1.448131 9.009153 5.844028 1.733496
MGG_02222 0.09281 0.366708 0.160437 0.286030 4.960661 19.247351
MGG_07398 0 0 0 0 0.016263 0.852205
MGG_05410 0 7.183848 31.494701 118.489067 155.972031 68.417816
MGG_17590 0 9.265102 27.452421 64.352028 55.039513 13.932668
MGG_07502 8.076271 42.220791 44.753044 26.488403 43.237484 46.666283
MGG_16059 0 0 0.489645 0.820051 1.035054 0.072855
MGG_16660 0.218666 0.400479 3.432002 3.646038 4.808217 2.793809
MGG_07372 0 3.581664 3.478034 1.060192 1.625162 2.870549
MGG_18071 0 2.364014 3.423993 4.650925 6.821370 3.183133
MGG_06771 0.647701 40.062206 28.962248 29.571905 46.164879 27.145933
MGG_09614 0 1.203508 1.155237 9.308699 42.960922 105.820503
MGG_15459 0 4.720725 24.853865 85.057365 74.144318 24.142458
MGG_13049 0.614581 29.398617 63.494881 212.936218 306.110931 134.390488
MGG_16070 0 6.443213 35.805725 46.134678 94.639328 32.524288
MGG_16346 0 2.358968 12.191770 21.503651 21.995028 6.821088
MGG_08331 0 0 0 0 3.813816 140.517807
MGG_16836 80.199158 74.389641 48.181675 86.829765 182.239395 137.973862
MGG_05608 5.630779 106.253426 153.045502 123.785629 197.825821 244.966080
MGG_08941 0.345923 2.771451 2.624011 1.129779 3.184202 3.320482
MGG_13868 0 1.056264 1.022368 0.748896 0.461051 0.679473
MGG_00618 0.617213 8.898841 4.013553 1.097846 8.693261 120.915535
MGG_10914 0.008006 156.783447 225.062408 1709.772095 1903.263062 336.830963
MGG_15058 0 0 0 0 0 0.484621
MGG_00916 0.183845 3.360562 16.536863 26.236353 76.583969 34.104046
MGG_02347 0.347448 5.02422 6.343018 28.481745 21.925488 16.036482
MGG_05389 0 0.84526 2.693119 6.130292 17.633312 12.499705
MGG_10455 0.046045 2.64641 2.813900 369.085052 338.238068 20.664043
MGG_08482 1.010459 8.020991 20.530899 177.768936 100.379555 182.659714
MGG_15793 0.280869 12.290792 8.392628 21.619633 14.109130 18.153240
MGG_05751 17.311928 24.437105 19.152012 67.932274 127.737282 98.827492
MGG_15267 1.240070 1145.896973 858.895630 885.617065 2186.615967 5465.919922
MGG_10532 2.907851 36.109516 34.542671 15.335205 34.789715 98.483444
MGG_02083 0.565445 2.013144 1.329552 4.724549 4.677371 2.025594
MGG_04547 0 0.747039 1.558851 20.319666 15.580101 96.147072
MGG_17336 0.476325 8.713970 10.503785 36.092541 45.868896 25.394924
MGG_05795 0 4.062906 16.607338 43.413990 30.756506 8.265908
MGG_10425 0.134004 4.738258 5.734997 2.470101 8.134662 17.766687
MGG_15374 0 1.046340 2.395617 9.428896 11.569199 4.390624
MGG_04889 0.061243 1.781545 1.054390 0.066097 20.119923 85.192123
MGG_02232 0 26.173040 121.653320 82.196068 249.339294 82.718399
MGG_17767 0 7.220220 25.270653 53.011494 100.701012 28.094307
MGG_13974 0 0 0 0.641163 0.181785 0.122974
MGG_03456 0.477273 3.994855 3.872938 2.447539 3.685799 5.987093
MGG_08433 0 7.043866 32.225319 39.357841 39.707291 19.392185
MGG_17232 0 4.584332 12.641232 103.298355 55.099384 6.047383
MGG_05518 0.155047 3.191818 8.546401 26.484734 34.619881 14.562892
MGG_02154 0 3.997277 6.690580 56.729084 174.666672 70.272942
MGG_15972 0.067916 93.043533 282.700592 1855.860352 1864.913696 511.368042
MGG_08376 0.705646 1.256580 2.145109 0.341280 6.920317 7.632210
MGG_14725 0 42.157089 119.594276 573.354858 755.473389 387.456635
MGG_00216 0 0 0 0 0 0.534818
MGG_14965 0.021482 21.464901 104.846703 231.153687 290.620514 91.716019
MGG_09657 3.738379 10.581302 35.108776 87.329865 90.998817 33.211857
MGG_03439 23.545195 134.757568 97.312981 131.567749 520.690369 506.298309
MGG_08230 0 42.368092 119.626892 573.202454 754.007019 387.880096
MGG_16759 0 1.993484 1.978332 4.731258 5.731481 3.035380
MGG_15212 0 0.930354 1.789675 9.074863 10.092377 5.406225
MGG_15924 0 11.096569 31.866207 85.834961 247.077469 64.381767
MGG_00043 0 11.506640 45.374985 594.650940 304.857819 16.748663
MGG_03671 3.983162 46.141804 42.092945 55.652851 183.187698 119.783546
MGG_10217 0 0 0.187382 4.250514 3.624339 0.775772
MGG_14093 0 20.983624 54.880547 220.982224 265.981262 119.744904
MGG_11948 0 0 0 0 1.361703 90.953156
MGG_06359 18.344423 36.078983 20.766584 39.581867 36.084274 44.259655
MGG_08789 0 1.755356 2.971931 2.265553 3.074709 11.289169
MGG_06231 0.096863 0.237759 1.383115 7.995793 3.778321 3.813663
MGG_10559 0 0 0 0 0 0.903464
MGG_16693 0.071384 4.186786 9.937543 35.900192 97.697113 50.169186
MGG_02220 0 2.028191 1.564773 192.803268 201.102997 96.118561
MGG_09693 1.095965 727.280884 887.298706 1053.771118 1498.967773 1135.043335
MGG_15625 0 0 0 0 0 0.244587
MGG_08817 10.811536 852.246887 1299.029175 1875.195679 1502.753418 2250.627930
MGG_05416 0 9.785457 36.390068 65.961876 96.672943 34.083237
MGG_07624 0.780562 5.905938 14.423372 68.008720 178.632889 89.735374
MGG_18060 0 1.661798 4.446233 43.412296 63.748825 35.978931
MGG_17250 0 2.441002 14.804989 18.228775 38.652435 7.063774
MGG_09627 0 8.977350 31.898218 59.964123 89.944923 43.418385
MGG_05789 1.865084 18.369114 16.370258 90.598274 188.717209 65.597412
MGG_15403 0 5.234752 17.080217 31.750225 64.771683 27.005692
MGG_18020 0 0 0 1.689608 1.804210 1.157454
MGG_17582 0 21.782471 11.227892 61.936836 186.704193 98.082787
MGG_07699 0 0.227355 0 1.784526 8.909915 2.765702
MGG_01956 0.636112 118.375725 148.592636 168.782639 312.349792 198.569931
MGG_00081 174.477020 478.200195 663.989319 1343.019287 968.390686 735.052002
MGG_08609 0 0.716464 1.005557 1.997472 6.857551 3.745644
MGG_05504 0.414118 12.136396 9.480982 2.733884 13.418041 21.517527
MGG_08729 0 0.936131 0.546338 0.843843 0.375396 2.935729
MGG_17248 0 0 1.841213 4.511435 5.248473 0.657483
MGG_01974 21.504299 17.784372 12.978145 22.256374 62.850224 45.955971
MGG_16869 6.594858 23.398138 32.910118 83.025337 158.403397 68.615990
MGG_07357 0 1.900547 9.552639 13.905622 35.517120 15.159617
MGG_03079 0.105680 0.567948 0.674243 0.904037 0.762211 2.789885
MGG_09665 0 0.835137 2.419488 9.296491 22.148369 21.150412
MGG_15376 0.421983 5.518076 25.822115 87.913315 71.771179 16.915154
MGG_02990 0 6.728196 22.988707 106.918159 124.883881 34.599136
MGG_12690 0 8.556599 11.704469 218.137711 62.468281 41.235794
MGG_10097 0 18.634325 136.439835 3580.250000 1272.506836 83.226280
MGG_14344 0 18.914459 60.425648 121.929970 291.401550 116.331345
MGG_04580 0 1.808369 4.616435 39.813274 20.100061 4.325122
MGG_12415 0 0.796283 0.169160 4.050657 10.433533 1.147726
MGG_17667 0 1.873718 2.695770 2.312867 16.673895 7.960439
MGG_13549 0.047792 0.9639 0.351150 0.772386 2.743999 17.534052
MGG_17205 0.144557 15.408502 12.030221 23.872770 16.880335 17.525492
MGG_10280 0 19.954090 67.608307 211.924133 285.906616 159.729874
MGG_11072 0.45872 71.991096 110.901810 1622.903687 3191.739014 547.896118
MGG_04603 6.144568 64.519485 40.060497 37.160454 144.086914 261.699463
MGG_15394 0 0 0 0 0 0.175795
MGG_08435 0 95.585403 60.460690 33.630257 46.551807 101.453880
MGG_16378 0 5.422532 22.121037 53.363285 31.146837 11.519499
MGG_14179 0 20.497246 10.611620 8.049471 60.619072 15.658152
MGG_05402 1.543074 2.570289 2.625434 5.382765 3.541080 5.814089
MGG_06123 1.380949 15.246145 44.645134 276.380920 199.921371 72.707748
MGG_07625 5.087689 10.993454 23.410078 87.197395 212.879440 125.795013
MGG_15185 0.049832 63.962029 55.428524 101.096413 63.523544 38.305943
MGG_10276 0 45.090832 143.156006 414.493530 405.007019 207.716537
MGG_15908 0 49.215847 50.429066 57.411011 96.041046 39.353523
MGG_02590 0 22.455921 18.512684 13.894240 13.978530 9.717587
MGG_08957 17.472967 17.475885 51.100189 236.985245 414.556946 182.790939
MGG_07630 9.177836 879.422119 589.576721 474.250732 3023.201660 2849.270752
MGG_17550 0 0 0 0.935127 0.739807 0.545863
MGG_08485 0 0 0 0.469225 0.353153 1.931898
MGG_07919 0.096387 3.785234 13.418818 14.228895 15.159277 10.873297
MGG_17902 0 0.314538 0 2.798321 1.255574 0.672094
MGG_07016 3.057112 98.917068 72.452461 276.196289 226.723190 175.545624
MGG_06834 0.249754 9.002169 9.538748 2.835337 13.690296 276.395142
MGG_13625 0 0 0 0 0.192201 2.303005
MGG_16811 0 51.802620 221.661392 573.905518 1042.891846 387.222717
MGG_02239 0 70.192482 51.713444 94.078072 68.250389 36.349934
MGG_08944 1.407919 15.533411 10.380056 199.987442 1656.528442 636.839661
MGG_09740 0 46.011387 26.791719 43.653347 42.193680 28.042933
MGG_04546 0.107485 1.781550 3.788420 4.427322 55.633041 28.639496
MGG_10467 0.799903 0.609366 0.685394 0.834407 1.025698 3.123887
MGG_08406 0 0.453210 0.182132 0.860199 2.323022 2.635851
MGG_16188 3.354175 10.933705 12.034483 34.143810 26.386820 15.999104
MGG_16647 0 279.576172 310.900574 518.600464 787.924377 521.572754
MGG_11091 0.112794 4.406651 4.183496 5.744658 13.607157 32.474232
MGG_17666 0.329548 1.917251 1.599766 3.391400 4.888418 3.388968
MGG_06224 0 48.375229 87.380302 399.056702 360.170013 86.814545
MGG_10335 0 0.343392 0 5.312454 3.688601 1.835235
MGG_16603 0 43.203224 54.057236 103.133644 243.908615 120.753006
MGG_10557 0.814513 8.221278 3.850514 5.011179 5.421874 8.699627
MGG_08992 0 5.870265 21.770372 27.949842 22.309168 8.950089
MGG_16860 2.056844 2.168939 4.681314 5.177236 2.606226 8.825974
MGG_16562 0 19.620657 84.237778 228.700378 214.826447 46.239380
MGG_07733 0 0 0 0.159089 0 0.147153
MGG_11719 0.210418 3.718589 2.974205 5.767393 16.496414 4.936269
MGG_16113 0.024409 2.287338 1.311629 1.980183 2.106744 1.430834

图4

稻瘟病菌效应蛋白的靶标蛋白预测 A: 转录组中稻瘟病菌高表达的效应蛋白的表达谱; B: 使用AlphaFold2预测的稻瘟病菌效应蛋白的结构; C: 使用AlphaFold3预测的稻瘟病菌的效应蛋白与植物靶标蛋白的互作模型。"

图5

稻瘟病菌效应蛋白和靶标蛋白的荧光素酶蛋白互补分析 A: 已报道的水稻CNGC9和水稻RLCK185蛋白在烟草中的荧光素蛋白互补分析[26]; B: 效应蛋白MGG_08817分别与Os06t0633800、Os11t0171500和Os01t0881500在烟草中的荧光素蛋白互补分析; C: 效应蛋白MGG_03865分别与Os12t0198000、Os03t0114400和Os05t0137300在烟草中的荧光素蛋白互补分析。"

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