Genetic dissection of QTLs for oil content in four maize DH populations

Zhang, Xiaolei; Wang, Min; Guan, Haitao; Wen, Hongtao; Zhang, Changzheng; Dai, Changjun; Wang, Jing; Pan, Bo; Li, Jia‐Lei; Liu, Hui

doi:10.3389/fpls.2023.1174985

Cited by 3 publications

(3 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the near-ubiquitous distribution of QTLs associated with grain starch content across most chromosomes, except for chromosomes 9 and 10, highlights the genetic complexity underlying grain starch content in maize. These findings diverge slightly from those obtained by Zhang et al (2023) , who utilized different genotypes from the ones in our study and detected a combined total of 16 QTLs for grain oil content distributed across all maize chromosomes. Yang et al (2012) also identified 58 QTLs for kernel oil content in all chromosomes.…”

Section: Discussioncontrasting

confidence: 99%

“…In the present study, we used linkage mapping to identify significant QTLs associated with grain quality traits in DH and F 3 tropical maize populations grown in Kenya. Numerous studies have extensively explored the genetic underpinnings of maize grain quality traits, resulting in the detection of a multitude of QTL ( Li et al, 2009 ; Guo et al, 2013 ; Galić et al, 2017 ; Karn et al, 2017 ; Badu-Apraku et al, 2020 ; Ndlovu et al, 2022 ; Zhang et al, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

“… Yang et al (2012) also identified 58 QTLs for kernel oil content in all chromosomes. Interestingly, Zhang et al (2023) recognized chromosome 9 as housing the largest effect QTLs for oil content. Yang et al (2012) and Ndlovu et al (2022) , on the other hand, reported QTLs on chromosomes 1 and 2 as having the largest effects on grain oil content, respectively.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Linkage mapping and genomic prediction of grain quality traits in tropical maize (Zea mays L.)

Ndlovu,

Kachapur,

Beyene

et al. 2024

Front. Genet.

View full text Add to dashboard Cite

The suboptimal productivity of maize systems in sub-Saharan Africa (SSA) is a pressing issue, with far-reaching implications for food security, nutrition, and livelihood sustainability within the affected smallholder farming communities. Dissecting the genetic basis of grain protein, starch and oil content can increase our understanding of the governing genetic systems, improve the efficacy of future breeding schemes and optimize the end-use quality of tropical maize. Here, four bi-parental maize populations were evaluated in field trials in Kenya and genotyped with mid-density single nucleotide polymorphism (SNP) markers. Genotypic (G), environmental (E) and G×E variations were found to be significant for all grain quality traits. Broad sense heritabilities exhibited substantial variation (0.18–0.68). Linkage mapping identified multiple quantitative trait loci (QTLs) for the studied grain quality traits: 13, 7, 33, 8 and 2 QTLs for oil content, protein content, starch content, grain texture and kernel weight, respectively. The co-localization of QTLs identified in our research suggests the presence of shared genetic factors or pleiotropic effects, implying that specific genomic regions influence the expression of multiple grain quality traits simultaneously. Genomic prediction accuracies were moderate to high for the studied traits. Our findings highlight the polygenic nature of grain quality traits and demonstrate the potential of genomic selection to enhance genetic gains in maize breeding. Furthermore, the identified genomic regions and single nucleotide polymorphism markers can serve as the groundwork for investigating candidate genes that regulate grain quality traits in tropical maize. This, in turn, can facilitate the implementation of marker-assisted selection (MAS) in breeding programs focused on improving grain nutrient levels.

show abstract

Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Linkage mapping and genomic prediction of grain quality traits in tropical maize (Zea mays L.)

Ndlovu,

Kachapur,

Beyene

et al. 2024

Front. Genet.

View full text Add to dashboard Cite

show abstract

Elite Maize Lines Having Variability in Quality Parameters—A Valuable Starting Material for Grain Quality-Oriented Breeding Programs

Babić,

Nikolić,

Babić

et al. 2024

Agriculture

View full text Add to dashboard Cite

Numerous factors, including genetic background, environmental conditions, agricultural practices, and postharvest management, affect maize grain quality. Six maize hybrids with common parental components were evaluated in micro- and production trials during five years, aiming at evaluating grain yield and grain quality traits and ascertaining the pattern of evaluated trait relationships based upon sources of variation (hybrid, year, and parental components). The parental effects were significant for the majority of analyzed quality traits, while the year effect was significant for all examined parameters. The PCAs indicated a considerable impact of the hybrids’ genetic makeup on physical parameters and kernel structure. The findings suggested the possibility of breeding simultaneously for higher protein and starch contents accompanied by a yield increase and higher protein and oil contents followed by a yield reduction. Multiple adverse interactions, which are inherently driven by the kernel structure, hamper the simultaneous breeding for higher oil and starch content. Significant quality parameter variation in the micro-trial was insufficient to provide improvement in grain quality obtained in the production trial. Although the existing variability of elite germplasm in quality parameters can be exploited, the introgression of new germplasm with high values of quality parameters per se is necessary for breeding focused on diverse applications.

show abstract

Mining of Oil Content Genes in Recombinant Maize Inbred Lines with Introgression from Temperate and Tropical Germplasm

Shi,

Sun,

Jiang

et al. 2024

IJMS

View full text Add to dashboard Cite

The oil content of maize kernels is essential to determine its nutritional and economic value. A multiparent population (MPP) consisting of five recombinant inbred line (RIL) subpopulations was developed to elucidate the genetic basis of the total oil content (TOC) in maize. The MPP used the subtropical maize inbred lines CML312 and CML384, along with the tropical maize inbred lines CML395, YML46, and YML32 as the female parents, and Ye107 as the male parent. A genome-wide association study (GWAS) was performed using 429 RILs of the multiparent population across three environments, employing 584,847 high-quality single nucleotide polymorphisms (SNPs). Furthermore, linkage analysis was performed in the five subpopulations to identify quantitative trait loci (QTL) linked to TOC in maize. Through QTL mapping and GWAS, 18 QTLs and 60 SNPs that were significantly associated with TOC were identified. Two novel candidate genes, Zm00001d029550 and Zm00001d029551, related to TOC in maize and located on chromosome 1 were reported, which have not been previously reported. These genes are involved in biosynthesis, lipid signal transduction, plant development and metabolism, and stress responses, potentially influencing maize TOC. Haplotype analysis of Zm00001d029550 and Zm00001d029551 revealed that Hap3 could be considered a superior haplotype for increasing TOC in maize. A co-located SNP (SNP-75791466) on chromosome 1, located 5648 bp and 11,951 bp downstream of the candidate genes Zm00001d029550 and Zm00001d029551, respectively, was found to be expressed in various maize tissues. The highest expression was observed in embryos after pollination, indicating that embryos are the main tissue for oil accumulation in maize. This study provides a theoretical basis for understanding the genetic mechanisms underlying maize TOC and developing high-quality, high-oil maize varieties.

show abstract

Genetic dissection of QTLs for oil content in four maize DH populations

Cited by 3 publications

References 92 publications

Linkage mapping and genomic prediction of grain quality traits in tropical maize (Zea mays L.)

Linkage mapping and genomic prediction of grain quality traits in tropical maize (Zea mays L.)

Elite Maize Lines Having Variability in Quality Parameters—A Valuable Starting Material for Grain Quality-Oriented Breeding Programs

Mining of Oil Content Genes in Recombinant Maize Inbred Lines with Introgression from Temperate and Tropical Germplasm

Contact Info

Product

Resources

About