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Leaf morphology related genes revealed by integrating Pan-transcriptome, GWAS and eQTL analyses in a Liriodendron population.
Wu, Hainan; Liu, Xiao; Zong, Yaxian; Yang, Lichun; Wang, Jing; Tong, Chunfa; Li, Huogen.
Affiliation
  • Wu H; State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing, China.
  • Liu X; Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Zong Y; State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing, China.
  • Yang L; Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Wang J; State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing, China.
  • Tong C; Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Li H; State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing, China.
Physiol Plant ; 176(3): e14392, 2024.
Article in En | MEDLINE | ID: mdl-38887911
ABSTRACT
Leaf plays an indispensable role in plant development and growth. Although many known genes related to leaf morphology development have been identified, elucidating the complex genetic basis of leaf morphological traits remains a challenge. Liriodendron plants are common ornamental trees due to their unique leaf shapes, while the molecular mechanism underlying Liriodendron leaf morphogenesis has remained unknown. Herein, we firstly constructed a population-level pan-transcriptome of Liriodendron from 81 accessions to explore the expression presence or absence variations (ePAVs), global expression differences at the population level, as well as differentially expressed genes (DEGs) between the Liriodendron chinense and Liriodendron tulipifera accessions. Subsequently, we integrated a genome-wide association study (GWAS), expression quantitative trait loci (eQTL), and transcriptome-wide association study (TWAS) to identify candidate genes related to leaf morphology. Through GWAS analysis, we identified 18 and 17 significant allelic loci in the leaf size and leaf shape modules, respectively. In addition, we discerned 16 candidate genes in relation to leaf morphological traits via TWAS. Further, integrating the co-localization results of GWAS and eQTL, we determined two regulatory hotspot regions, hot88 and hot758, related to leaf size and leaf shape, respectively. Finally, co-expression analysis, eQTL, and linkage mapping together demonstrated that Lchi_4g10795 regulate their own expression levels through cis-eQTL to affect the expression of downstream genes and cooperatively participate in the development of Liriodendron leaf morphology. These findings will improve our understanding of the molecular regulatory mechanism of Liriodendron leaf morphogenesis and will also accelerate molecular breeding of Liriodendron.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Leaves / Liriodendron / Quantitative Trait Loci / Genome-Wide Association Study / Transcriptome Language: En Journal: Physiol Plant / Physiol. plant / Physiologia plantarum Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Leaves / Liriodendron / Quantitative Trait Loci / Genome-Wide Association Study / Transcriptome Language: En Journal: Physiol Plant / Physiol. plant / Physiologia plantarum Year: 2024 Type: Article Affiliation country: China