Inheritance of the stay-green trait in tropical maize

Belicuas, Pedro Radi; Aguiar, Aurélio Mendes; Bento, Dyeme Antonio Vieira; Câmara, Tassiano Marinho Maxwell; Souza, Cláudio Lopes de

doi:10.1007/s10681-014-1106-4

Cited by 21 publications

(21 citation statements)

References 29 publications

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“…at P # 0.05 and 0.01, respectively. quantitative trait loci underlying the stay-green trait (Zheng et al, 2009;Wang et al, 2012;Belícuas et al, 2014). Our study expands this knowledge by evaluating the role of a larger number of alleles captured in a diversity panel encompassing a substantial portion of the genetic variation in U.S. midwestern dent maize.…”

Section: Discussionmentioning

confidence: 92%

“…The previous phenotyping has relied on leaf greenness produced by chlorophyll through green leaf area (Zheng et al, 2009;Wang et al, 2012), visual scoring of leaf greenness (Belícuas et al, 2014), or chlorophyll content (Trachsel et al, 2016). However, greenness can indicate either functional stay-green plants that maintain high levels of photosynthetic activity or visual stay-green plant that maintain high chlorophyll, but not the photosynthetic activity (Thomas and Howarth, 2000).…”

Section: Discussionmentioning

confidence: 99%

“…Valuable insights into the genetic architecture of senescence have been provided by the forward genetic screens in multiple plant species; however, these mostly represent the major effect of genes producing visible mutant phenotypes. Biparental mapping populations have also been used to identify quantitative trait loci in Arabidopsis (Wingler et al, 2010;Chardon et al, 2014), maize (Zheng et al, 2009;Wang et al, 2012;Belícuas et al, 2014;Trachsel et al, 2016), rice (Oryza sativa; Jiang et al, 2004;Abdelkhalik et al, 2005;Yoo et al, 2007), sorghum (Tuinstra et al, 1997;Xu et al, 2000;Harris et al, 2007), and wheat (Vijayalakshmi et al, 2010;Bogard et al, 2011;Pinto et al, 2016). These studies have been useful in understanding the genetic architecture of senescence but often lack the resolution to identify the underlying genes.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

et al. 2019

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Premature senescence in annual crops reduces yield, while delayed senescence, termed stay-green, imposes positive and negative impacts on yield and nutrition quality. Despite its importance, scant information is available on the genetic architecture of senescence in maize (Zea mays) and other cereals. We combined a systematic characterization of natural diversity for senescence in maize and coexpression networks derived from transcriptome analysis of normally senescing and stay-green lines. Sixty-four candidate genes were identified by genome-wide association study (GWAS), and 14 of these genes are supported by additional evidence for involvement in senescence-related processes including proteolysis, sugar transport and signaling, and sink activity. Eight of the GWAS candidates, independently supported by a coexpression network underlying stay-green, include a trehalose-6-phosphate synthase, a NAC transcription factor, and two xylan biosynthetic enzymes. Source-sink communication and the activity of cell walls as a secondary sink emerge as key determinants of staygreen. Mutant analysis supports the role of a candidate encoding Cys protease in stay-green in Arabidopsis (Arabidopsis thaliana), and analysis of natural alleles suggests a similar role in maize. This study provides a foundation for enhanced understanding and manipulation of senescence for increasing carbon yield, nutritional quality, and stress tolerance of maize and other cereals.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

et al. 2019

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“…Our data provided a starting point to create hybrid SG plants that preserve their photosynthetic characteristics while potentially introducing other beneficial traits through crossing. Previous studies have indicated that both dominance and additive effects, with a predominance of the latter [5], control the inheritance of the SG trait. Our data are in agreement with this notion.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast, delayed leaf senescence, also called the stay-green (SG) trait, extends the active photosynthesis state and leads to a greater accumulation of dry matter in seeds, leading to a higher crop yield [3,4]. Moreover, the SG trait is also associated with an increased resistance to abiotic stresses such as heat and drought [5], and biotic stresses [6]. Researchers have found a positive correlation of the SG trait with a higher grain yield in crop plants such as sorghum [7,8], wheat [9], and maize [10,11].…”

Section: Introductionmentioning

confidence: 99%

Impact of Genetic Background on the Leaf-Protective Enzyme Activity and Hormone Levels of Maize

Liu

et al. 2018

Agronomy

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The delay of leaf senescence, also known as the stay-green (SG) phenotype, is a trait closely associated with yield gain and resistance to many biotic/abiotic stresses. In order to increase the stress tolerance in maize, eight genetic background types were compared against the hallmarks of delayed senescence. The plant redox status and hormonal levels were tested among widespread SG and non-SG (NSG) maize lines in northern China. We found that SG maize lines showed greater activity of the reactive oxygen species (ROS) scavenging apparatus including leaf superoxide dismutases (SOD), peroxidases (POD), and catalases (CAT). Moreover, the concentration of malonaldehyde (MDA), a membrane lipid peroxidation marker, was significantly lower in SG than in NSG plants. For the hormone content, SG maize lines showed higher zeatin (ZR) and lower abscisic acid (ABA) after silking, resulting in a higher ZR/ABA ratio. Understanding the correlation between the stay-green trait and the corresponding hallmarks of delayed senescence is an important step in promoting SG to increase yield and stress tolerance. Our findings provide valuable insight into how to promote the SG trait in specific maize lines to increase yield and stress tolerance.

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Novel sources of drought tolerance from landraces and wild sorghum relatives

et al. 2020

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Sorghum (Sorghum bicolor [L.] Moench) is the fifth most important cereal crop worldwide and second after maize (Zea mays L.) in Kenya. It is an important food security crop in arid and semi-arid lands, where its production potential is hampered by drought. Drought tolerance can be measured by a plant's ability to resist premature senescence, often described as stay-green. This study was carried out with the objective of identifying novel stay-green trait among wild and landrace genotypes of sorghum. Forty-four sorghum genotypes that included 16 improved, nine landraces, and 17 wild relatives of sorghum alongside known stay-green sources, B35 and E36-1, were evaluated under well-watered and water-stressed conditions in an alpha-lattice design of three replications. Data was collected on plant height (PHT), flag leaf area (FLA), panicle weight (PWT), 100-seed weight (HSW), relative chlorophyll content (RCC), number of green leaves at maturity (GLAM), days to 50% flowering (DFL), and grain yield (YLD). Genetic diversity was determined using diversity arrays technology (DArT) sequencing and quality control (QC) markers were generated using a java script. Lodoka, a landrace, was the most drought-tolerant genotype, recorded the highest numbers of RCC and GLAM, and outperformed B35 and E36-1 in yield under water-stress and well-watered conditions. The RCC was highly correlated with GLAM (r = .71) and with yield-related traits, HSW (r = .85), PWT (r = .82), and YLD (r = .78). All traits revealed high heritability (broad-sense) ranging from 60.14 to 98.4% for RCC and DFL, respectively. These results confirm earlier reports that wild relatives and landraces are a good source of drought tolerance alleles.

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Inheritance of the stay-green trait in tropical maize

Cited by 21 publications

References 29 publications

Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize

Impact of Genetic Background on the Leaf-Protective Enzyme Activity and Hormone Levels of Maize

Novel sources of drought tolerance from landraces and wild sorghum relatives

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