Integrated Bulk Segregant Analysis, Fine Mapping, and Transcriptome Revealed QTLs and Candidate Genes Associated with Drought Adaptation in Wild Watermelon.
Ahmed MahmoudRui QiXiaolu ChiNanqiao LiaoGuy Kateta MalangishaAbid AliMohamed Moustafa-FaragJing-Hua YangMingfang ZhangZhongyuan HuPublished in: International journal of molecular sciences (2023)
Drought stress has detrimental effects on crop productivity worldwide. A strong root system is crucial for maintaining water and nutrients uptake under drought stress. Wild watermelons possess resilient roots with excellent drought adaptability. However, the genetic factors controlling this trait remain uninvestigated. In this study, we conducted a bulk segregant analysis (BSA) on an F 2 population consisting of two watermelon genotypes, wild and domesticated, which differ in their lateral root development under drought conditions. We identified two quantitative trait loci ( qNLR_Dr. Chr01 and qNLR_Dr. Chr02 ) associated with the lateral root response to drought. Furthermore, we determined that a small region (0.93 Mb in qNLR_Dr. Chr01 ) is closely linked to drought adaptation through quantitative trait loci (QTL) validation and fine mapping. Transcriptome analysis of the parent roots under drought stress revealed unique effects on numerous genes in the sensitive genotype but not in the tolerant genotype. By integrating BSA, fine mapping, and the transcriptome, we identified six genes, namely L-Ascorbate Oxidase (AO), Cellulose Synthase-Interactive Protein 1 (CSI1), Late Embryogenesis Abundant Protein (LEA), Zinc-Finger Homeodomain Protein 2 (ZHD2), Pericycle Factor Type-A 5 (PFA5), and bZIP transcription factor 53-like (bZIP53-like), that might be involved in the drought adaptation. Our findings provide valuable QTLs and genes for marker-assisted selection in improving water-use efficiency and drought tolerance in watermelon. They also lay the groundwork for the genetic manipulation of drought-adapting genes in watermelon and other Cucurbitacea species.
Keyphrases
- genome wide
- climate change
- transcription factor
- dna methylation
- arabidopsis thaliana
- heat stress
- plant growth
- high resolution
- copy number
- genome wide identification
- single cell
- air pollution
- high density
- rna seq
- gene expression
- small molecule
- risk assessment
- protein protein
- binding protein
- minimally invasive
- heavy metals
- amino acid
- ionic liquid
- mass spectrometry
- genome wide analysis