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. 2023 Jun 12;14:1172816. doi: 10.3389/fpls.2023.1172816

Table 3.

Quantitative trait loci (QTL; n = 21) for emergence (EMERG, %), speed of emergence (SOE) and shoot dry weight (SDW, g) were measured in a field trial at Los Baños, Philippines, in which seeds were planted 8 cm deep, and for mesocotyl length (ML, cm) measured in a test-tube experiment after five days incubation in the dark at 30°C in a controlled environment chamber.

QTL Lead SNP Chr. Pos. (Mb) FDR adjusted P-value PVE Candidate gene Reported Locus
qSDW-1.1 mlid0006464909 1 28.2–28.2 0.05 2.9–3.1 Os01g0684900
qSDW-IND-1.1 mlid0006467086 1 28.2–28.2 0.08 8.7–8.9 Os01g0684900
qEMERG-AUS-1.1 mlid0007349026 1 32.8–33.3 0.05 13.6–15.9 OsCKX5, Os01g0775500
qSOE-1.1 mlid0008395331 1 37.6–38.4 0.05 2.7–2.8 FSM qML1.4 (Xiong et al., 2017; Wang et al., 2021b)
qEMERG-AUS-1.2 mlid0008927838 1 40.9–41.7 0.03 13.2–17.8 OsHAK6, Os01g0938600, Os01g0938900, Os01g0939200, Os01g0939300, GPDH2, Os01g0939700, CKX4, OsHXK3, OsPR2, OsMUS81, OsNPC2 qMel-1 (Cao et al., 2002; Wu et al., 2015a), and seq-rs609 (for shoot length) (Dang et al., 2014; Lu et al., 2016)
qEMERG-AUS-2.1 mlid0014164785 2 20.9–22.6 0.05 3.0–14.0 Os02g0556100, OsCPT1, Os02g0586500
qEMERG-2.1 mlid0014379250 2 22.4–22.6 0.04 2.6–3.9 Os02g0584800, Os02g0585100
qSOE-2.1 mlid0014379250 2 22.5–22.6 0.04 2.6–3.7 Os02g0584800, Os02g0585100
qSDW-2.1 mlid0016678899 2 33.8–33.9 0.07 2.8–3.0 Os02g0796000
qSDW-IND-4.1 mlid0026230401 4 5.3–5.3 0.04 8.8–10.0 Os04g0177300, Os04g0177400
qSDW-IND-4.2 mlid0030902086 4 24.5–24.7 0.09 9.0–9.0 Os04g0492300
qEMERG-AUS-5.1 mlid0038926320 5 25.8–27.9 0.05 13.1–16.0 HSP101, Os05g0519900, Os05g0520200, OsIAA18, OsGT43E seq-rs2638 (Lu et al., 2016)
qEMERG-AUS-6.1 mlid0045621374 6 24.5–24.6 0.05 14.4–16.2 OsCYP93F1, OsFTIP1
qEMERG-AUS-7.1 mlid0049755165 7 11.9–12.6 0.05 13.4–14.6 Os07g0300900-OsRH5 qFML7.1 (Zhao et al., 2018; Liu et al., 2020)
qEMERG-7.1 mlid0051610551 7 19.0–20.0 0.05 2.6–2.9 Os07g0519100, Os07g0519300
qML-9.1 mlid0065562882 9 19.7–19.8 0.05 3.0–3.0 Os09g0510000, Os09g0510200, OsCCR3, HMGR3
qEMERG-AUS-10.1 mlid0066458929 10 1.1–1.2 0.05 15.3–16.2 OsXTH27, Os10g0117400, ZRP4, Os10g0118800
qEMERG-AUS-11.1 mlid0072207246 11 1.4–1.9 0.05 15.0–15.0 Os11g0141100
qEMERG-AUS-11.2 mlid0076143945 11 17.4–17.4 0.05 14.5–15.2 OsWRKY72
qSDW-11.1 mlid0076168099 11 17.0–17.6 0.01 3.0–15.0 OsSPL19, OsWRKY72, OsENODL22, Os11g0491600, Os11g0492300
qSDW-IND-11.1 mlid0076168461 11 17.3–17.6 0.02 8.6–14.3 OsSPL19, OsWRKY72, OsENODL22, Os11g0491600, Os11g0492300

QTL, quantitative trait loci; Chr, chromosome; pos, position (Mb); PVE, phenotypic variance explained (%).

Significant single nucleotide polymorphisms (SNPs) identified by genome-wide association study (GWAS) analyses based on mixed linear modelsimplemented in GAPIT (Lipka et al., 2012), with principal component (PC) analysis and kinship (K) used to account for population structure and relatedness among individuals, respectively. A genomic region was defined as a QTL if two or more significant marker-trait association (SNPs) were found in a 100 kb window around the lead SNP. A panel of 470 Oryza sativa accessions, composed of rice diversity panel 1 (RDP1, n = 379) (Eizenga et al., 2014) and the aus subset (n = 91) of the 3,000 rice genome project (Li et al., 2014a), representing all the genetic groups of O. sativa, was studied. QTL without a suffix were identified from analysis of the whole panel, whereas those with the AUS suffix were identified from the aus genetic group subset (n = 145) and ‘IND’ from the aus + indica (INDICA varietal group) subset (n = 224). The candidate genes in each QTL region were identified using annotations on lead SNP of the QTL, considering the genes that falls under 100 kb window of lead SNP.