journal article·2026-07Open access

3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species

Yueyuan Liu, Chenhui Han, Cheng Xue, Manyi Sun, Bobo Song, Yongsong Xue, Guangyan Yang, Shaozhuo Xu, Wei Wei, Jiaming Li, Runze Wang, Jun Wu

Advanced Science· Volume 13· Issue 41

Abstract

ABSTRACT Three‐dimensional (3D) chromatin architecture plays a fundamental role in eukaryotic gene regulations, its functional significance in perennial fruit trees remains poorly characterized despite extensive applications in crop genomics. Here, we developed high‐resolution (∼5 kb) Hi‐C maps of Pyrus and compared 3D genomic architecture of three representative pear species: the wild Asian pear ‘Duli’ ( P. betuleafolia ), the cultivated Asian pear ‘Dangshansuli’ ( P. bretschneideri ), and the cultivated European pear ‘Early red Doyene du Comice’ ( P. communis ). Approximately 78% of compartment and 73% of TAD‐like domains are conserved among the three species. Interspecific structural variation correlates with TAD‐like boundary repositioning, which is associated with altered expression levels of genes near these boundaries. The variations in TAD‐like boundaries among three species correlated with differentially expressed whole‐genome duplication (WGD) and single‐copy genes. Furthermore, integration of pear population data identified 234 domestication‐ and 3605 divergence‐associated genes near TAD‐like boundaries, which are enriched in cell development pathways. One candidate gene— PyYABBY , located in a different TAD‐like boundary between P. bretschneideri and P. communis , is confirmed to enhance leaf size. This study revealed 3D genomic divergence among three Pyrus species, demonstrating the functional and evolutionary roles of TAD‐like structures in genome organization, thereby providing insights for crop trait evolution research.
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Research context

OpenAlex topics: Plant Molecular Biology Research · Genomics and Chromatin Dynamics · Chromosomal and Genetic Variations

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture Nanjing Agricultural University Nanjing Jiangsu China

The Laboratory of Pear Germplasm Resources Innovative Utilization and Molecular Breeding, College of Horticulture Anhui Agricultural University Hefei Anhui China

Zhongshan Biological Breeding Laboratory Nanjing Jiangsu China

College of Horticulture Science and Engineering Shandong Agricultural University Tai'an Shandong China

Funding

Jiangsu Agricultural Science and Technology Innovation Fund · Earmarked Fund for China Agriculture Research System · National Natural Science Foundation of China

References (100+)

Show source-provided references
1. 10.1038/nature1275310.1038/nature12753 ↗
2. 10.1038/s41576-018-0060-810.1038/s41576-018-0060-8 ↗
3. 10.1038/nrg.2016.11210.1038/nrg.2016.112 ↗
4. 10.1038/nrg345410.1038/nrg3454 ↗
5. 10.1038/s41467-023-43841-810.1038/s41467-023-43841-8 ↗
6. 10.1038/nature1108210.1038/nature11082 ↗
7. 10.1101/gr.170332.11310.1101/gr.170332.113 ↗
8. 10.1016/j.tig.2016.05.00410.1016/j.tig.2016.05.004 ↗
9. 10.1101/gr.204032.11610.1101/gr.204032.116 ↗
10. 10.1038/s41467-019-11535-910.1038/s41467-019-11535-9 ↗
11. 10.1016/j.cell.2017.06.02910.1016/j.cell.2017.06.029 ↗
12. 10.1038/nature2326310.1038/nature23263 ↗
13. 10.1016/j.cell.2021.01.00110.1016/j.cell.2021.01.001 ↗
14. 10.1038/s41588-019-0479-710.1038/s41588-019-0479-7 ↗
15. 10.1038/s41586-020-2962-910.1038/s41586-020-2962-9 ↗
16. 10.1038/s41477-017-0096-310.1038/s41477-017-0096-3 ↗
17. 10.1093/plcell/koab08110.1093/plcell/koab081 ↗
18. 10.1016/j.pbi.2011.10.00910.1016/j.pbi.2011.10.009 ↗
19. 10.1016/j.cub.2016.02.03310.1016/j.cub.2016.02.033 ↗
20. 10.1016/bs.ctdb.2018.11.00610.1016/bs.ctdb.2018.11.006 ↗
21. 10.1111/nph.1640310.1111/nph.16403 ↗
22. 10.1016/j.jare.2022.01.00110.1016/j.jare.2022.01.001 ↗
23. 10.1093/plphys/kiad06310.1093/plphys/kiad063 ↗
24. 10.1093/hr/uhab04010.1093/hr/uhab040 ↗
25. 10.1007/s00606-007-0539-910.1007/s00606-007-0539-9 ↗
26. 10.1101/gr.144311.11210.1101/gr.144311.112 ↗
27. Kikuchi A. · 1948
28. 10.1023/A:100864601618110.1023/A:1008646016181 ↗
29. 10.1111/pbi.1322610.1111/pbi.13226 ↗
30. Pu F.‐S. · 1963
31. 10.1186/s13059-018-1452-y10.1186/s13059-018-1452-y ↗
32. 10.1038/s41588-025-02273-410.1038/s41588-025-02273-4 ↗
33. 10.1186/s13059-019-1905-y10.1186/s13059-019-1905-y ↗
34. Assessing Genome Assembly Quality Using the LTR Assembly Index (LAI)
35. 10.1016/j.cell.2014.11.02110.1016/j.cell.2014.11.021 ↗
36. 10.1105/tpc.17.0058110.1105/tpc.17.00581 ↗
37. 10.1186/s13059-022-02844-210.1186/s13059-022-02844-2 ↗
38. 10.1038/s41588-019-0561-110.1038/s41588-019-0561-1 ↗
39. 10.1186/s12864-022-09074-710.1186/s12864-022-09074-7 ↗
40. 10.1186/s13059-023-02854-810.1186/s13059-023-02854-8 ↗
41. 10.1016/j.ygeno.2021.07.02310.1016/j.ygeno.2021.07.023 ↗
42. 10.1093/bioinformatics/btv56210.1093/bioinformatics/btv562 ↗
43. 10.1111/pbi.1301510.1111/pbi.13015 ↗
44. 10.1105/tpc.12.3.39310.1105/tpc.12.3.393 ↗
45. 10.1104/pp.105.07378310.1104/pp.105.073783 ↗
46. 10.1002/ajb2.106010.1002/ajb2.1060 ↗
47. 10.1093/nar/gkr129310.1093/nar/gkr1293 ↗
48. 10.1111/nph.1964910.1111/nph.19649 ↗
49. 10.1038/s41438-021-00474-610.1038/s41438-021-00474-6 ↗
50. 10.1016/j.plaphy.2023.02.02610.1016/j.plaphy.2023.02.026 ↗
51. 10.1104/pp.18.0132210.1104/pp.18.01322 ↗
52. 10.1016/j.cell.2020.05.02110.1016/j.cell.2020.05.021 ↗
53. 10.1146/annurev-arplant-080720-09063210.1146/annurev-arplant-080720-090632 ↗
54. 10.1111/pbi.1364610.1111/pbi.13646 ↗
55. 10.1016/j.molp.2016.09.01510.1016/j.molp.2016.09.015 ↗
56. 10.1038/s41477-025-01905-110.1038/s41477-025-01905-1 ↗
57. 10.1111/tpj.7041610.1111/tpj.70416 ↗
58. 10.1093/molbev/msab12810.1093/molbev/msab128 ↗
59. 10.1038/ng.380710.1038/ng.3807 ↗
60. 10.1007/s10265-020-01227-710.1007/s10265-020-01227-7 ↗
61. 10.1080/07388551.2024.234457610.1080/07388551.2024.2344576 ↗
62. 10.1093/plphys/kiad51010.1093/plphys/kiad510 ↗
63. 10.1093/jxb/erae04210.1093/jxb/erae042 ↗
64. 10.1111/tpj.7017110.1111/tpj.70171 ↗
65. 10.1038/s41580-021-00362-w10.1038/s41580-021-00362-w ↗
66. 10.1016/j.molp.2020.10.00210.1016/j.molp.2020.10.002 ↗
67. 10.1093/nar/gkab19110.1093/nar/gkab191 ↗
68. 10.1038/s41477-019-0471-310.1038/s41477-019-0471-3 ↗
69. 10.1186/s13059-025-03496-810.1186/s13059-025-03496-8 ↗
70. 10.1038/s41592-020-01056-510.1038/s41592-020-01056-5 ↗
71. 10.1038/s41477-019-0487-810.1038/s41477-019-0487-8 ↗
72. 10.1093/bioinformatics/btp32410.1093/bioinformatics/btp324 ↗
73. 10.1093/bioinformatics/btp35210.1093/bioinformatics/btp352 ↗
74. 10.1093/molbev/msab19910.1093/molbev/msab199 ↗
75. 10.1093/nar/gkg09510.1093/nar/gkg095 ↗
76. 10.1093/nar/gkl84210.1093/nar/gkl842 ↗
77. 10.1093/nar/gkae99710.1093/nar/gkae997 ↗
78. 10.1093/nar/gky108510.1093/nar/gky1085 ↗
79. 10.1093/bioinformatics/btz85910.1093/bioinformatics/btz859 ↗
80. 10.1007/978-1-4939-9045-0_2810.1007/978-1-4939-9045-0_28 ↗
81. 10.1093/bioinformatics/btu17010.1093/bioinformatics/btu170 ↗
82. 10.1016/j.cels.2016.07.00210.1016/j.cels.2016.07.002 ↗
83. 10.1093/nar/gky50410.1093/nar/gky504 ↗
84. 10.1186/s13059-020-02215-910.1186/s13059-020-02215-9 ↗
85. 10.1038/nature1445010.1038/nature14450 ↗
86. 10.1038/s41596-019-0273-010.1038/s41596-019-0273-0 ↗
87. 10.1186/s13059-015-0831-x10.1186/s13059-015-0831-x ↗
88. 10.1186/s13059-022-02616-y10.1186/s13059-022-02616-y ↗
89. 10.1038/nmeth.439610.1038/nmeth.4396 ↗
90. 10.1038/nmeth.192310.1038/nmeth.1923 ↗
91. 10.1093/bioinformatics/btq03310.1093/bioinformatics/btq033 ↗
92. 10.1093/nar/gkw25710.1093/nar/gkw257 ↗
93. 10.1093/bib/bbs01710.1093/bib/bbs017 ↗
94. 10.1186/gb-2008-9-9-r13710.1186/gb-2008-9-9-r137 ↗
95. 10.1093/bioinformatics/btv14510.1093/bioinformatics/btv145 ↗
96. 10.1093/bioinformatics/bty19110.1093/bioinformatics/bty191 ↗
97. 10.1186/s13059-020-02107-y10.1186/s13059-020-02107-y ↗
98. 10.1038/nmeth.331710.1038/nmeth.3317 ↗
99. 10.1186/gb-2010-11-10-r10610.1186/gb-2010-11-10-r106 ↗
100. 10.1093/nar/gkr48310.1093/nar/gkr483 ↗