Heterophylly is regard as an important adaptive mechanism in response to different environments within plants. However, the genetic mechanisms responsible for heterophylly in woody plants are still poorly understood. Herein, the divergence of heterophyllous leaves was investigated at morphogenesis and using microdissection and physiological indexes in paper mulberry, and the genetic basis of heterophylly was further revealed combined with genome-wide association study (GWAS), transcriptome analysis and weighted gene coexpression network analysis (WGCNA). Our results revealed that the flavonoid content and antioxidant activity increased gradually from the entire leaf to the palmatisect leaf, while the hormone content and net photosynthetic rate decreased. Through GWAS and transcriptome analysis, a total of 98 candidate genes and 2338 differentially expressed genes associated with heterophylly were identified. Importantly, we uncovered critical variations in the candidate genes Bp07g0981 (WOX) and Bp07g0920 (HHO), along with significant differences in haplotypes and expression levels among heterophyllous leaves. Our results also suggested that the genes involved in hormone signaling pathways, antioxidant activity, and flavonoid metabolism might be closely related to the heterophylly of paper mulberry, which could account for the physiological data. Indeed, CR- wox mutant lines showed significant changes in leaf phenotypes, and differential expression profile analysis also highlighted the expression of genes related to phytohormones and transcription factors. Together, the genetic variations and candidate genes detected in this study provide novel insights into the genetic mechanism of heterophylly, and would improve the understanding of eco-adaptability in heterophyllous woody plants.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (31770360, 32070358) and the National Key Research and Development Program of China (2021YFD1000100).
Author contributions
Y.M.H. performed the GWAS and RNA-seq data analysis; Y.M.H. and X.J.P. wrote the manuscript; F.T. and D.Z. collected the phenotypic data; F.T. performed the electron microscope observations and physiological measurements; D.Z. performed the vector construction and plant transformation; X.J.P. and S.H.S. designed the project and revised the manuscript. All authors have read and approved the manuscript.
Data availability statement
The raw re-sequencing data can be found in the NCBI database under the project accession numbers PRJNA974956 and PRJNA870972. The other supplementary figures and tables are summarized in the Supplementary Data files.
Conflict of interests
The authors declare that they have no conflict of interest.
| [1] |
Wilson-Sánchez D, Bhatia N, Runions A, et al. From genes to shape in leaf development and evolution. Curr Biol. 2022; 32: R1215-22
|
| [2] |
Du F, Guan C, Jiao Y . Molecular mechanisms of leaf morphogenesis. Mol Plant. 2018; 11: 1117-34
|
| [3] |
Nikolov LA, Runions A, Das GM, et al. Leaf development and evolution. Curr Top Dev Biol. 2019; 131: 109-39
|
| [4] |
Conklin PA, Strable J, Li S, et al. On the mechanisms of development in monocot and eudicot leaves. New Phytol. 2019; 221: 706-24
|
| [5] |
Tsukaya H . Leaf shape: genetic controls and environmental factors. Int J Dev Biol. 2005; 49: 547-55
|
| [6] |
Li G, Hu S, Hou H, et al. Heterophylly: phenotypic plasticity of leaf shape in aquatic and amphibious plants. Plants (Basel). 2019; 8: 420
|
| [7] |
Momokawa N, Kadono Y, Kudoh H . Effects of light quality on leaf morphogenesis of a heterophyllous amphibious plant Rotala hippuris. Ann Bot. 2011; 108: 1299-306
|
| [8] |
Veen HV, Sasidharan R . Shape shifting by amphibious plants in dynamic hydrological niches. New Phytol. 2019; 229: 79-84
|
| [9] |
Nakayama H, Nakayama N, Seiki S, et al. Regulation of the KNOX-GA gene module induces heterophyllic alteration in north American lake cress. Plant Cell. 2014; 26: 4733-48
|
| [10] |
Li G, Yang J, Chen Y, et al. SHOOT MERISTEMLESS participates in the heterophylly of Hygrophila difformis (Acanthaceae). Plant Physiol. 2022; 190: 1777-91
|
| [11] |
Kim J, Joo Y, Kyung J, et al. A molecular basis behind heterophylly in an amphibious plant, Ranunculus trichophyllus. PLoS Genet. 2018; 14: e1007208
|
| [12] |
Zhai JT, Li YL, Han ZJ, et al. Morphological, structural and physiological differences in heteromorphic leaves of Euphrates poplar during development stages and at crown scales. Plant Biol. 2020; 22: 366-75
|
| [13] |
Li C, Qin S, Bao L, et al. Identification and functional prediction of circRNAs in Populus euphratica Oliv. heteromorphic leaves. Genomics. 2020; 112: 92-8
|
| [14] |
Xiao H, Wang C, Liu J, et al. Insights into the differences in leaf functional traits of heterophyllous Syringa oblata under different light intensities. J For Res. 2015; 26: 613-21
|
| [15] |
Leigh A, Zwieniecki MA, Rockwell FE, et al. Structural and hydraulic correlates of heterophylly in Ginkgo biloba. New Phytol. 2011; 189: 459-70
|
| [16] |
Song Z, Ni X, Yao J, et al. Progress in studying heteromorphic leaves in Populus euphratica: leaf morphology, anatomical structure, development regulation and their ecological adaptation to arid environments. Plant Signal Behav. 2021; 16: 1870842
|
| [17] |
Li G, Hu S, Zhao X, et al. Mechanisms of the morphological plasticity induced by phytohormones and the environment in plants. Int J Mol Sci. 2021; 22: 765
|
| [18] |
Nakayama H, Kimura S . Leaves may function as temperature sensors in the heterophylly of Rorippa aquatica (Brassicaceae). Plant Signal Behav. 2015; 10: e1091909
|
| [19] |
Nakayama H, Sinha NR, Kimura S . How do plants and phytohormones accomplish heterophylly, leaf phenotypic plasticity, in response to environmental cues. Front Plant Sci. 2017; 8: 1717
|
| [20] |
Koga H, Kojima M, Takebayashi Y, et al. Identification of the unique molecular framework of heterophylly in the amphibious plant Callitriche palustris L. Plant Cell. 2021; 33: 3272-92
|
| [21] |
Nakayama H, Leichty AR, Sinha NR . Molecular mechanisms underlying leaf development, morphological diversification, and beyond. Plant Cell. 2022; 34: 2534-48
|
| [22] |
Zhu X, Sun F, Sang M, et al. Genetic architecture of heterophylly: single and multi-leaf genome-wide association mapping in Populus euphratica. Front Plant Sci. 2022; 13: 870876
|
| [23] |
Fu Y, Li F, Mu S, et al. Heterophylly quantitative trait loci respond to salt stress in the desert tree Populus euphratica. Front Plant Sci. 2021; 12: 692494
|
| [24] |
Zeng M, He S, Hao J, et al. iTRAQ-based proteomic analysis of heteromorphic leaves reveals eco-adaptability of Populus euphratica Oliv. J Plant Physiol. 2022; 271: 153644
|
| [25] |
Hu YM, Peng XJ, Wang FF, et al. Natural population re-sequencing detects the genetic basis of local adaptation to low temperature in a woody plant. Plant Mol Biol. 2021; 105: 585-99
|
| [26] |
Tang F, Chen N, Zhao M, et al. Identification and functional divergence analysis of WOX gene family in paper mulberry. Int J Mol Sci. 2017; 18: 1782
|
| [27] |
Winn AA . The functional significance and fitness consequences of heterophylly. Int J Plant Sci. 1999; 160: S113-21
|
| [28] |
Zotz G, Wilhelm K, Becker A . Heteroblasty-a review. Bot Rev. 2011; 77: 109-51
|
| [29] |
Bao L, Qin S, Li C, et al. Regulatory networks of circRNAs related to transcription factors in Populus euphratica Oliv. Heteromorphic leaves. Biosci Rep. 2019; 39: BSR20190540
|
| [30] |
Shi ZJ, Du HH, Fang YX, et al. The heteromorphic leaves of Broussonetia papyrifera and its ecological adaptation to environment. J Southwest China Norm Univ. 2021; 46: 61-5
|
| [31] |
Satterlee JW, Evans LJ, Conlon BR, et al. A Wox3-patterning module organizes planar growth in grass leaves and ligules. Nat Plants. 2023; 9: 720-32
|
| [32] |
Wolabu TW, Wang H, Tadesse D, et al. WOX9 functions antagonistic to STF and LAM1 to regulate leaf blade expansion in Medicago truncatula and Nicotiana sylvestris. New Phytol. 2021; 229: 1582-97
|
| [33] |
Du F, Mo Y, Israeli A, et al. Leaflet initiation and blade expansion are separable in compound leaf development. Plant J. 2020; 104: 1073-87
|
| [34] |
Wang H, Niu H, Li C, et al. WUSCHEL-related homeobox1 (WOX1) regulates vein patterning and leaf size in Cucumis sativus. Hortic Res. 2020; 7: 182
|
| [35] |
Li Q, Zhou L, Li Y, et al. Plant NIGT1/HRS1/HHO transcription factors: key regulators with multiple roles in plant growth, development, and stress responses. Int J Mol Sci. 2021; 22: 8685
|
| [36] |
Moreau F, Thévenon E, Blanvillain R, et al. The Myb-domain protein ULTRAPETALA1 INTERACTING FACTOR 1 controls floral meristem activities in Arabidopsis. Development. 2016; 143: 1108-19
|
| [37] |
Koenig D, Bayer E, Kang J, et al. Auxin patterns Solanum lycopersicum leaf morphogenesis. Development. 2009; 136: 2997-3006
|
| [38] |
Yanai O, Shani E, Russ D, et al. Gibberellin partly mediates LANCEOLATE activity in tomato. Plant J. 2011; 68: 571-82
|
| [39] |
Zhang Z, Runions A, Mentink RA, et al. A WOX/auxin biosynthesis module controls growth to shape leaf form. Curr Biol. 2020; 30: 4857-4868.e6
|
| [40] |
Wu W, Du K, Kang X, et al. The diverse roles of cytokinins in regulating leaf development. Hortic Res. 2021; 8: 118
|
| [41] |
Skalák J, Vercruyssen L, Claeys H, et al. Multifaceted activity of cytokinin in leaf development shapes its size and structure in Arabidopsis. Plant J. 2019; 97: 805-24
|
| [42] |
Wang H, Li X, Wolabu T, et al. WOX family transcriptional regulators modulate cytokinin homeostasis during leaf blade development in Medicago truncatula and Nicotiana sylvestris. Plant Cell. 2022; 34: 3737-53
|
| [43] |
Farquharson KL . Examining the molecular basis of heterophylly in North American lake cress. Plant Cell. 2014; 26: 4567
|
| [44] |
Blein T, Pulido A, Vialette-Guiraud A, et al. A conserved molecular framework for compound leaf development. Science. 2008; 322: 1835-9
|
| [45] |
Zheng G, Wei W, Li Y, et al. Conserved and novel roles of miR164-CUC2 regulatory module in specifying leaf and floral organ morphology in strawberry. New Phytol. 2019; 224: 480-92
|
| [46] |
Koyama T, Sato F, Ohme-Takagi M . Roles of miR319 and TCP transcription factors in leaf development. Plant Physiol. 2017; 175: 874-85
|
| [47] |
Kumar R, Kushalappa K, Godt D, et al. The Arabidopsis BEL1-LIKE HOMEODOMAIN proteins SAW1 and SAW2 act redundantly to regulate KNOX expression spatially in leaf margins. Plant Cell. 2007; 19: 2719-35
|
| [48] |
Kim HS, Kim SJ, Abbasi N, et al. The DOF transcription factor Dof5.1 influences leaf axial patterning by promoting Revoluta transcription in Arabidopsis. Plant J. 2010; 64: 524-35
|
| [49] |
Bilsborough GD, Runions A, Barkoulas M, et al. Model for the regulation of Arabidopsis thaliana leaf margin development. Proc Natl Acad Sci USA. 2011; 108: 3424-9
|
| [50] |
Tian M, Yu G, He N, et al. Leaf morphological and anatomical traits from tropical to temperate coniferous forests: mechanisms and influencing factors. Sci Rep. 2016; 6: 19703
|
| [51] |
Müller A, Düchting P, Weiler EW . A multiplex GC-MS/MS technique for the sensitive and quantitative single-run analysis of acidic phytohormones and related compounds, and its application to Arabidopsis thaliana. Planta. 2002; 216: 44-56
|
| [52] |
Marinova D, Ribarova F, Atanassova M . Total phenolics and flavonoids in Bulgarian fruits and vegetables. J Univ Chem Technol Metall. 2005; 40: 255-60
|
| [53] |
Chandra S, Khan S, Avula B, et al. Assessment of total phenolic and flavonoid content, antioxidant properties, and yield of aeroponically and conventionally grown leafy vegetables and fruit crops: a comparative study. Evid Based Complement Alternat Med. 2014; 2014: 253875
|
| [54] |
Chen S, Fang L, Xi H, et al. Simultaneous qualitative assessment and quantitative analysis of flavonoids in various tissues of lotus (Nelumbo nucifera) using high performance liquid chromatography coupled with triple quad mass spectrometry. Anal Chim Acta. 2012; 724: 127-35
|
| [55] |
Hu YM, Peng XJ, Shen SH . Identification and investigation of the genetic variations and candidate genes responsible for seed weight via GWAS in paper mulberry. Int J Mol Sci. 2022; 23: 12520
|
| [56] |
Peng X, Liu H, Chen P, et al. A chromosome-scale genome assembly of paper mulberry (Broussonetia papyrifera) provides new insights into its forage and papermaking usage. Mol Plant. 2019; 12: 661-77
|
| [57] |
Li H, Durbin R . Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009; 25: 1754-60
|
| [58] |
McKenna A, Hanna M, Banks E, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010; 20: 1297-303
|
| [59] |
Danecek P, Auton A, Abecasis G, et al. The variant call format and VCFtools. Bioinformatics. 2011; 27: 2156-8
|
| [60] |
Yang H, Wang K . Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR. Nat Protoc. 2015; 10: 1556-66
|
| [61] |
Felsenstein J . PHYLIP: Phylogeny Inference Package (version 3.2). Cladistics. 1989; 5: 164-6
|
| [62] |
Yang J, Lee SH, Goddard ME, et al. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011; 88: 76-82
|
| [63] |
Alexander DH, Novembre J, Lange K . Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 2009; 19: 1655-64
|
| [64] |
Bradbury PJ, Zhang Z, Kroon DE, et al. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics. 2007; 23: 2633-5
|
| [65] |
Liu X, Huang M, Fan B, et al. Iterative usage of fixed and random effect models for powerful and efficient genome-wide association studies. PLoS Genet. 2016; 12: e1005767
|
| [66] |
Li M, Yeung JM, Cherny SS, et al. Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets. Hum Genet. 2012; 131: 747-56
|
| [67] |
Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003; 13: 2498-504
|
| [68] |
Kelley LA, Mezulis S, Yates CM, et al. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc. 2015; 10: 845-58
|
| [69] |
Geourjon C, Deléage G . SOPMA: significant improvements in protein secondary structure prediction by consensus prediction from multiple alignments. Comput Appl Biosci. 1995; 11: 681-4
|
| [70] |
Dong SS, He WM, Ji JJ, et al. LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files. Brief Bioinform. 2020; 20: bbaa227
|
| [71] |
Kim D, Pertea G, Trapnell C, et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 2013; 14: R36
|
| [72] |
Shannon P, Markiel A, Ozier O, et al. EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics. 2013; 29: 1035-43
|
| [73] |
Langfelder P, Horvath S . WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008; 9: 559
|
| [74] |
Livak KJ, Schmittgen TD . Analysis of relative gene expression data using real-time quantitative PCR and the 2−△△CT method. Methods. 2001; 25: 402-8
|