Analysis of QTLs for panicle exsertion and its relationship with yield and yield-related traits in rice (Oryza sativa L.)

Combined strategy employing MutMap and RNA-seq reveals genomic regions and genes associated with complete panicle exsertion in rice

Complete panicle exsertion (CPE) in rice is an important determinant of yield and a desirable trait in breeding. However, the genetic basis of CPE in rice still remains to be completely characterized. An ethyl methane sulfonate (EMS) mutant line of an elite cultivar Samba Mahsuri (BPT 5204), displaying stable and consistent CPE, was identified and named as CPE-110. MutMap and RNA-seq were deployed for unraveling the genomic regions, genes, and markers associated with CPE. Two major genomic intervals, on chromosome 8 (25668481-25750456) and on chromosome 11 (20147154-20190400), were identified to be linked to CPE through MutMap. A non-synonymous SNP (G/A; Chr8:25683828) in the gene LOC_Os08g40570 encoding pyridoxamine 5'-phosphate oxidase with the SNP index 1 was converted to Kompetitive allele-specific PCR (KASP) marker. This SNP (KASP 8-1) exhibited significant association with CPE and further validated through assay in the F2 mapping population, released varieties and CPE exhibiting BPT 5204 mutant lines. RNA-seq of the flag leaves at the booting stage, 1100 genes were upregulated and 1305 downregulated differentially in CPE-110 and BPT 5204. Metabolic pathway analysis indicated an enrichment of genes involved in photosynthesis, glyoxylate, dicarboxylate, porphyrin, pyruvate, chlorophyll, carotenoid, and carbon metabolism. Further molecular and functional studies of the candidate genes could reveal the mechanistic aspects of CPE.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11032-023-01412-1.

Quantitative trait loci mapping of panicle traits in rice

In this study 90 individuals of recombinant inbred lines (RILs) were developed by crossing subspecies of japonica rice cultivar, ‘Nagdong’ and an indica type cultivar, ‘Cheongcheong’. These individuals were used to identify the quantitative trait loci of panicle traits using SSR markers. A genetic linkage map was constructed using one hundred fifty four simple sequence repeat (SSR) primers covering distance of 1973.6 cM of the whole genome with mean distance of 13.9 cM among markers. QTLs were mapped using composite interval mapping method, nineteen QTLs were recognized for the panicle traits on chromosomes 4, 5, 6, 8, 10, 11, 12 with individual QTL explained 8.8% to 37.9% of phenotypic variation. Two pleiotropic effects loci were found on chromosomes 4 and 6. These QTLs affecting leaf traits, panicle traits and panicle branch traits would be beneficial to high-yield rice improvement.

Genome-wide association analysis of panicle exsertion and uppermost internode in rice (Oryza sativa L.)

BACKGROUND

Rice (Oryza sativa L.) yield is seriously influenced by panicle exsertion (PE) and the uppermost internode (UI) through panicle enclosure or energy transport during grain-filling stages. We evaluated the traits of PE and UI of 205 rice accessions in two independent environments and performed genome-wide association (GWAS) to explore the key genes controlling PE and UI, which could be used to improve panicle enclosure in rice breeding.

RESULTS

In this study, extensive genetic variation was found in both PE and UI among the 205 rice accessions, and 10.7% of accessions had panicle enclosure (PE/UI ≤ 0). Correlation analysis revealed that PE was significantly positively correlated with 1000-grain weight (1000-GW) but negatively correlated with heading date (HD), and UI was significantly positively correlated with HD but no significantly correlated with 1000-GW. A total of 22 and 24 quantitative trait loci (QTLs) were identified for PE and UI using GWAS, respectively. Eight loci for PE and nine loci for UI were simultaneously detected both in 2015 and in 2016, seven loci had adjacent physical positions between PE and UI, and ten loci for PE and seven loci for UI were located in previously reported QTLs. Further, we identified the CYP734A4 gene, encoding a cytochrome P450 monooxygenase, and the OsLIS-L1 gene, encoding a lissencephaly type-1-like protein, as causal genes for qPE14 and qUI14, and for qPE19, respectively. PE and UI were both significantly shorter in these two genes' mutants than in WT. Allelic Hap.1/2/4 of CYP734A4 and Hap.1/2/4 of OsLIS-L1 increased PE, UI, PE/UI, and 1000-GW, but Hap.3 of CYP734A4 and Hap.3 of OsLIS-L1 reduced them. In addition, six candidate genes were also detected for four key novel loci, qPE16, qPE21, qUI1, and qUI18, that seemed to be related to PE and UI.

CONCLUSIONS

Our results provide new information on the genetic architecture of PE and UI in rice, confirming that the CYP734A4 and OsLIS-L1 genes participate in PE and UI regulation, which could improve our understanding of the regulatory mechanism of PE and UI for rice breeding in the future.