Genome-Wide Association Study Dissects the Genetic Architecture of Maize Husk Tightness

Jiang, Siqi; Zhang, Haibo; Ni, Pengzun; Yu, Shuai; Zhang, Ao; Cao, Huiying; Zhang, Lijun; Ruan, Yijun; Cui, Zhenhai

doi:10.3389/fpls.2020.00861

Cited by 20 publications

(24 citation statements)

References 65 publications

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“…However, it often takes long period for back-cross to get near isogenic lines (NIL) lines. Bin map is an alternative strategy to fine-mapping the yield-associated loci applied in sorghum [ 35 ], rice [ 36 ], and maize [ 2 , 13 , 14 , 18 ]. In this study, four husk related QTLs were narrowed from the original 5.1 Mb - 8.9 Mb interval to 0.54 Mb - 2.72 Mb region according to a bin map.…”

Section: Discussionmentioning

confidence: 99%

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Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

Zhang¹,

Ming

Xia

et al. 2021

BMC Genomics

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Background The maize husk consists of numerous leafy layers and plays vital roles in protecting the ear from pathogen infection and dehydration. Teosinte, the wild ancestor of maize, has about three layers of small husk outer covering the ear. Although several quantitative trait loci (QTL) underlying husk morphology variation have been reported, the genetic basis of husk traits between teosinte and maize remains unclear. Results A linkage population including 191 BC2F8 inbred lines generated from the maize line Mo17 and the teosinte line X26–4 was used to identify QTL associated with three husk traits: i.e., husk length (HL), husk width (HW) and the number of husk layers (HN). The best linear unbiased predictor (BLUP) depicted wide phenotypic variation and high heritability of all three traits. The HL exhibited greater correlation with HW than HN. A total of 4 QTLs were identified including 1, 1, 2, which are associated with HL, HW and HN, respectively. The proportion of phenotypic variation explained by these QTLs was 9.6, 8.9 and 8.1% for HL, HN and HW, respectively. Conclusions The QTLs identified in this study will pave a path to explore candidate genes regulating husk growth and development, and benefit the molecular breeding program based on molecular marker-assisted selection to cultivate maize varieties with an ideal husk morphology.

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Section: Discussionmentioning

confidence: 99%

“…Moreover, the husk maintains appropriate moisture of kernel growth and prevents ear dehydration [ 6 – 14 ]. Therefore, the proper husk-related traits, i.e., HL, HW and NHL, serve as the critical factors influencing the rate of kernel dehydration after physiological maturity [ 2 , 15 – 18 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

Zhang¹,

Ming

Xia

et al. 2021

BMC Genomics

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“…The SS and NSS subgroups encompassed the temperate lines, the TST subgroup comprised tropical and subtropical lines, and the MIXED subgroup contained the remaining non-classified lines. Details on the 508 inbred lines, including population structure, linkage disequilibrium, and genetic diversity have been previously published ( Yang et al, 2011 ; Jiang et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

“…The physical locations of SNPs were determined in reference to the B73 RefGen_v2 genome. Genes within a 50-kb range upstream and downstream of the significantly associated SNP locus were searched ( Cui et al, 2020 ; Jiang et al, 2020 ), and functionally annotated using information on homologous Arabidopsis thaliana and rice genes. Genes with homologs related to photoperiod, secondary cell wall synthesis and PCD were designated as candidate genes for MVN.…”

Section: Methodsmentioning

confidence: 99%

A Genome-Wide Association Study Dissects the Genetic Architecture of the Metaxylem Vessel Number in Maize Brace Roots

Liu

Zhang

et al. 2022

Front. Plant Sci.

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Metaxylem vessels in maize brace roots are key tissue, and their number (MVN) affects plant water and inorganic salt transportation and lodging resistance. Dissecting the genetic basis of MVN in maize brace roots can help guide the genetic improvement of maize drought resistance and lodging resistance during late developmental stages. In this study, we used 508 inbred lines with tropical, subtropical, and temperate backgrounds to analyze the genetic architecture of MVN in maize brace roots. The phenotypic variation in MVN in brace roots was evaluated in three environments, which revealed broad natural variation and relative low levels of heritability (h2 = 0.42). Stiff-stalk lines with a temperate background tended to have higher MVNs than plants in other genetic backgrounds. MVN was significantly positively correlated with plant height, tassel maximum axis length, ear length, and kernel number per row, which indicates that MVN may affect plant morphological development and yield. In addition, MVN was extremely significantly negatively correlated with brace root radius, but significantly positively correlated with brace root angle (BRA), diameter, and number, thus suggesting that the morphological function of some brace root traits may be essentially determined by MVN. Association analysis of MVN in brace roots combined 1,253,814 single nucleotide polymorphisms (SNPs) using FarmCPU revealed a total of nine SNPs significantly associated with MVN at P < 7.96 × 10–7. Five candidate genes for MVN that may participate in secondary wall formation (GRMZM2G168365, GRMZM2G470499, and GRMZM2G028982) and regulate flowering time (GRMZM2G381691 and GRMZM2G449165). These results provide useful information for understanding the genetic basis of MVN in brace root development. Further functional studies of identified candidate genes should help elucidate the molecular pathways that regulate MVN in maize brace roots.

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“…Over the years, GWAS has been implemented across a wide variety of crops such as soybean, maize, common bean, sorghum, and rice [55,[138][139][140][141]. GWAS identifies genetic variants across the genome and associates the variants with the target phenotype.…”

Section: Gwasmentioning

confidence: 99%

A Review on the Cooking Attributes of African Yam Bean (Sphenostylis stenocarpa)

Shitta¹,

Edemodu²,

Abtew³

et al. 2022

Legumes Research - Volume 2

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African yam bean, an underutilized legume usually cultivated for its edible tubers and seeds, is known for its nutrition-rich qualities; however, the crop’s level of consumption is low. The underutilization of the crop could be attributed to several constraints, including long cooking hours of up to 24 hours. Cooking time is an important food trait; it affects consumers’ choices, nutrients content, and anti-nutrient conditions. Additionally, foods requiring long cooking hours are non-economical in terms of energy usage and preparation time. The prolonged cooking time associated with AYB places enormous limitations on the invaluable food security potentials of the crop. Therefore, the availability of AYB grains with a short cooking time could lift the crop from its present underused status. To efficiently develop AYB grains with reduced cooking time, information on the crop’s cooking variables is a prerequisite. This review presents available information on variations in cooking time, cooking methods, and processing steps used in improving cooking time and nutrient qualities in AYB. Likewise, the review brings to knowledge standard procedures that could be explored in evaluating AYB’s cooking time. This document also emphasizes the molecular perspectives that could pilot the development of AYB cultivars with reduced cooking time.

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Genome-Wide Association Study Dissects the Genetic Architecture of Maize Husk Tightness

Cited by 20 publications

References 65 publications

Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

A Genome-Wide Association Study Dissects the Genetic Architecture of the Metaxylem Vessel Number in Maize Brace Roots

A Review on the Cooking Attributes of African Yam Bean (Sphenostylis stenocarpa)

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