Exploration of rice yield potential: Decoding agronomic and physiological traits

Li, Gengmi; Tang, Jiuyou; Zheng, Jufeng; Chu, Chengcai

doi:10.1016/j.cj.2021.03.014

Cited by 36 publications

(16 citation statements)

References 196 publications

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“…Ubiquitin-proteasome and phytohormones signaling pathways play a critical role in regulating grain size (Li et al, 2021). To date, at least two deubiquitinating enzymes and two E3 ubiquitin ligases have been reported to be involved in the regulation of grain size.…”

Section: Discussionmentioning

confidence: 99%

“…The remaining two QTL, GL7/GW7 and GS9, affect grain length and width but have little influence on grain weight (Dong et al, 2020;Li et al, 2019Li et al, , 2020Ruan et al, 2020;Shi et al, 2020;Wang et al, 2019). These QTL are involved in multiple signaling pathways, including G protein signaling, ubiquitination-mediated proteasomal degradation, phytohormone signaling, and transcription factors (Li et al, 2021). These pathways form a complex network, which regulates seed growth by shaping maternal tissues and controls grain size mainly by affecting cell expansion and/or proliferation in the spikelet hulls.…”

Section: Crop Sciencementioning

confidence: 99%

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Dissection of two quantitative trait loci for grain length linked on the long arm of chromosome 5 in rice

et al. 2021

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Grain size is the major determinant of grain weight, and a trait having an important role in grain quality. It is controlled by several major quantitative trait loci (QTL) and many minor QTL. Identification of QTL for grain size is important for understanding the genetic and molecular network regulating grain size in rice. Following previous identification of QTL for grain weight and size using an F 2:3 family derived from the indica rice cross Teqing/IRBB52, one QTL, qTGW5 having significant effects on grain length and weight was targeted for validation, dissection and fine-mapping. Firstly, the effect of qTGW5 was validated using two near-isogenic line (NIL)-F 2 populations. Then, qTGW5 was dissected into two closely linked QTL using four NIL populations. One of them, qGL5.1, having significant effects on grain length, width and weight, was located within an 1896.4-kb region. The other one, qGL5.2 controlling grain length, was further delimited into a 68.8-kb region using seven NIL-F 2 populations. Six annotated genes were found in the qGL5.2 region, of which five showed nucleotide polymorphisms between the two parental lines. Additionally, three of the six annotated genes showed significant expression differences between NIL Teqing and NIL IRBB52 in young panicles using qRT-PCR. The results will facilitate cloning the minor QTL and understanding the genetic architecture for grain size in rice.

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Section: Discussionmentioning

confidence: 99%

Section: Crop Sciencementioning

confidence: 99%

Dissection of two quantitative trait loci for grain length linked on the long arm of chromosome 5 in rice

et al. 2021

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“…Among them, grain weight is largely determined by grain size, which includes grain length, width, and thickness [ 3 ]. In recent decades, many quantitative trait loci (QTLs)/genes regulating grain size have been isolated and shown to participate in multiple signaling pathways, including the G-protein signaling pathway, the ubiquitin–proteasome pathway, mitogen-activated protein kinase (MAPK) signaling pathway, phytohormone signaling and homeostasis, and transcriptional regulators [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

GLW7.1, a Strong Functional Allele of Ghd7, Enhances Grain Size in Rice

Liu

Feng

et al. 2022

IJMS

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Grain size is a key determinant of both grain weight and grain quality. Here, we report the map-based cloning of a novel quantitative trait locus (QTL), GLW7.1 (Grain Length, Width and Weight 7.1), which encodes the CCT motif family protein, GHD7. The QTL is located in a 53 kb deletion fragment in the cultivar Jin23B, compared with the cultivar CR071. Scanning electron microscopy analysis and expression analysis revealed that GLW7.1 promotes the transcription of several cell division and expansion genes, further resulting in a larger cell size and increased cell number, and finally enhancing the grain size as well as grain weight. GLW7.1 could also increase endogenous GA content by up-regulating the expression of GA biosynthesis genes. Yeast two-hybrid assays and split firefly luciferase complementation assays revealed the interactions of GHD7 with seven grain-size-related proteins and the rice DELLA protein SLR1. Haplotype analysis and transcription activation assay revealed the effect of six amino acid substitutions on GHD7 activation activity. Additionally, the NIL with GLW7.1 showed reduced chalkiness and improved cooking and eating quality. These findings provide a new insight into the role of Ghd7 and confirm the great potential of the GLW7.1 allele in simultaneously improving grain yield and quality.

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“…The broad-sense heritability of GN is relatively high, which ranged from about 70 to 90% in different studies ( Tuhina-Khatun et al, 2015 ; Roy and Shil, 2020 ), suggesting that genetic factors are the major determinant of GN. Furthermore, GN is positively correlated with panicle length, number of primary and secondary branches ( Rebolledo et al, 2016 ; Li et al, 2021b ).…”

Section: Introductionmentioning

confidence: 99%

Genetic and molecular factors in determining grain number per panicle of rice

Chuan

Wang

et al. 2022

Front. Plant Sci.

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It was suggested that the most effective way to improve rice grain yield is to increase the grain number per panicle (GN) through the breeding practice in recent decades. GN is a representative quantitative trait affected by multiple genetic and environmental factors. Understanding the mechanisms controlling GN has become an important research field in rice biotechnology and breeding. The regulation of rice GN is coordinately controlled by panicle architecture and branch differentiation, and many GN-associated genes showed pleiotropic effect in regulating tillering, grain size, flowering time, and other domestication-related traits. It is also revealed that GN determination is closely related to vascular development and the metabolism of some phytohormones. In this review, we summarize the recent findings in rice GN determination and discuss the genetic and molecular mechanisms of GN regulators.

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Exploration of rice yield potential: Decoding agronomic and physiological traits

Cited by 36 publications

References 196 publications

Dissection of two quantitative trait loci for grain length linked on the long arm of chromosome 5 in rice

Dissection of two quantitative trait loci for grain length linked on the long arm of chromosome 5 in rice

GLW7.1, a Strong Functional Allele of Ghd7, Enhances Grain Size in Rice

Genetic and molecular factors in determining grain number per panicle of rice

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