Chromatin interacting factor Os<scp>VIL</scp>2 increases biomass and rice grain yield

Yang, Jungil; Cho, Lae-Hyeon; Yoon, Jinmi; Yoon, Hyeryung; Wai, Antt Htet; Hong, Woo-Jong; Han, Muho; Sakakibara, Hitoshi; Liang, Wanqi; Jung, Kyungsook; Jeon, Jong‐Seong; Koh, Hee‐Jong; Zhang, Dabing; An, Gynheung

doi:10.1111/pbi.12956

Cited by 29 publications

(33 citation statements)

References 69 publications

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“…For instance, the genomic region spanning MQTL-GW3 contains the CYP78A13 36 and DEP2 31 genes that are reported to control grain size and YLD in rice. MQTL-GW4 on chromosome 8 and MQTL-GW5 on chromosome 12 contain Os08g0390000 encoding brassinosteroid receptor kinase (BRI1) 31 and the OsVIL2 37 genes, respectively, which regulate grain size in rice.…”

Section: Resultsmentioning

confidence: 99%

Meta-QTL and ortho-MQTL analyses identified genomic regions controlling rice yield, yield-related traits and root architecture under water deficit conditions

Khahani

Tavakol

Shariati

et al. 2021

Sci Rep

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Meta-QTL (MQTL) analysis is a robust approach for genetic dissection of complex quantitative traits. Rice varieties adapted to non-flooded cultivation are highly desirable in breeding programs due to the water deficit global problem. In order to identify stable QTLs for major agronomic traits under water deficit conditions, we performed a comprehensive MQTL analysis on 563 QTLs from 67 rice populations published from 2001 to 2019. Yield and yield-related traits including grain weight, heading date, plant height, tiller number as well as root architecture-related traits including root dry weight, root length, root number, root thickness, the ratio of deep rooting and plant water content under water deficit condition were investigated. A total of 61 stable MQTLs over different genetic backgrounds and environments were identified. The average confidence interval of MQTLs was considerably refined compared to the initial QTLs, resulted in the identification of some well-known functionally characterized genes and several putative novel CGs for investigated traits. Ortho-MQTL mining based on genomic collinearity between rice and maize allowed identification of five ortho-MQTLs between these two cereals. The results can help breeders to improve yield under water deficit conditions.

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Section: Resultsmentioning

confidence: 99%

Meta-QTL and ortho-MQTL analyses identified genomic regions controlling rice yield, yield-related traits and root architecture under water deficit conditions

Khahani

Tavakol

Shariati

et al. 2021

Sci Rep

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“…The overexpression of DGAT in Arabidopsis enhanced oil content (~10%) and seed weight (~20%) (Jako et al ., ), similar to OsACBP2‐OEs. Unlike OsACBP2 which increases yield by enhancing grain weight, rice VIN3‐LIKE2 (OsVIL2) affected yield by suppressing cytokinin degradation, increasing grain number per panicle (Yang et al ., ). In contrast, knockdown of rice DICER‐LIKE3b ( OsDCL3b ) that functions in gene alternative splicing in rice panicles, reduced seed setting and impaired yield (Liao et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…In contrast, knockdown of rice DICER‐LIKE3b ( OsDCL3b ) that functions in gene alternative splicing in rice panicles, reduced seed setting and impaired yield (Liao et al ., ). Interestingly, unlike OsACBP2‐OEs, there was no effect on grain weight in OsVIL2‐OE and OsDCL3b ‐RNAi lines (Liao et al ., ; Yang et al ., ).…”

Section: Discussionmentioning

confidence: 97%

The overexpression of rice ACYL‐CoA‐BINDING PROTEIN2 increases grain size and bran oil content in transgenic rice

et al. 2019

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As Oryza sativa (rice) seeds represent food for over three billion people worldwide, the identification of genes that enhance grain size and composition is much desired. Past reports have indicated that Arabidopsis thaliana acyl-CoA-binding proteins (ACBPs) are important in seed development but did not affect seed size. Herein, rice OsACBP2 was demonstrated not only to play a role in seed development and germination, but also to influence grain size. OsACBP2 mRNA accumulated in embryos and endosperm of germinating seeds in qRT-PCR analysis, while b-glucuronidase (GUS) assays on OsACBP2pro::GUS rice transformants showed GUS expression in embryos, as well as the scutellum and aleurone layer of germinating seeds. Deletion analysis of the OsACBP2 5'-flanking region revealed five copies of the seed cis-element, Skn-I-like motif (À1486/À1482, À956/À952, À939/À935, À826/À822, and À766/À762), and the removal of any adversely affected expression in seeds, thereby providing a molecular basis for OsACBP2 expression in seeds. When OsACBP2 function was investigated using osacbp2 mutants and transgenic rice overexpressing OsACBP2 (OsACBP2-OE), osacbp2 was retarded in germination, while OsACBP2-OEs performed better than the wild-type and vector-transformed controls, in germination, seedling growth, grain size and grain weight. Transmission electron microscopy of OsACBP2-OE mature seeds revealed an accumulation of oil bodies in the scutellum cells, while confocal laser scanning microscopy indicated oil accumulation in OsACBP2-OE aleurone tissues. Correspondingly, OsACBP2-OE seeds showed gain in triacylglycerols and long-chain fatty acids over the vector-transformed control. As dietary rice bran contains beneficial bioactive components, OsACBP2 appears to be a promising candidate for enriching seed nutritional value.

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“…Enrichment of OsVIL2 in the transcript initiation region in the promoter of OsCKX2 , and further enrichment of H3K27me3 around the same promoter region of OsCKX2 , confirms the epigenetic repression of OsCKX2 by OsVIL2 ( Figure 1 ). Therefore, OsVIL2 represses OsCKX2 gene expression by methylating its promoter and thereby increasing the CK accumulation and meristem activity ( Yang et al, 2019 ).…”

Section: Control Of Grain Number By Phytohormonesmentioning

confidence: 99%

Phytohormone-Mediated Molecular Mechanisms Involving Multiple Genes and QTL Govern Grain Number in Rice

et al. 2020

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Increasing the grain number is the most direct route toward enhancing the grain yield in cereals. In rice, grain number can be amplified through increasing the shoot branching (tillering), panicle branching, panicle length, and seed set percentage. Phytohormones have been conclusively shown to control the above characteristics by regulating molecular factors and their cross-interactions. The dynamic equilibrium of cytokinin levels in both shoot and inflorescence meristems, maintained by the regulation of its biosynthesis, activation, and degradation, determines the tillering and panicle branching, respectively. Auxins and gibberellins are known broadly to repress the axillary meristems, while jasmonic acid is implicated in the determination of reproductive meristem formation. The balance of auxin, gibberellin, and cytokinin determines meristematic activities in the inflorescence. Strigolactones have been shown to repress the shoot branching but seem to regulate panicle branching positively. Ethylene, brassinosteroids, and gibberellins regulate spikelet abortion and grain filling. Further studies on the optimization of endogenous hormonal levels can help in the expansion of the grain yield potential of rice. This review focuses on the molecular machinery, involving several genes and quantitative trait loci (QTL), operational in the plant that governs hormonal control and, in turn, gets governed by the hormones to regulate grain number and yield in rice.

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Chromatin interacting factor OsVIL2 increases biomass and rice grain yield

Cited by 29 publications

References 69 publications

Meta-QTL and ortho-MQTL analyses identified genomic regions controlling rice yield, yield-related traits and root architecture under water deficit conditions

Meta-QTL and ortho-MQTL analyses identified genomic regions controlling rice yield, yield-related traits and root architecture under water deficit conditions

The overexpression of rice ACYL‐CoA‐BINDING PROTEIN2 increases grain size and bran oil content in transgenic rice

Phytohormone-Mediated Molecular Mechanisms Involving Multiple Genes and QTL Govern Grain Number in Rice

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