SbMYC2 mediates jasmonic acid signaling to improve drought tolerance via directly activating SbGR1 in sorghum

Wang, Guangling; Long, Yufei; Jin, Xueying; Yang, Zhen; Dai, Lingyan; Yang, Yonghua; Lu, Guihua; Sun, Bo

doi:10.1007/s00122-024-04578-0

Cited by 5 publications

(1 citation statement)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Basing on the homology between maize and rice, we identified 63 drought tolerance genes within the MQTL regions in maize. Apart from rice, the proximate species sorghum [96][97][98], and even some Gramineae grasses such as Zea mays ssp. Mexicana [99], could provide anti-stress genes for maize.…”

Section: The Homology Among Plant Species Shows Promising Prospect To...mentioning

confidence: 99%

Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (Zea mays L.)

Li,

Wang,

et al. 2024

IJMS

View full text Add to dashboard Cite

Drought is one of the major abiotic stresses with a severe negative impact on maize production globally. Understanding the genetic architecture of drought tolerance in maize is a crucial step towards the breeding of drought-tolerant varieties and a targeted exploitation of genetic resources. In this study, 511 quantitative trait loci (QTL) related to grain yield components, flowering time, and plant morphology under drought conditions, as well as drought tolerance index were collected from 27 published studies and then projected on the IBM2 2008 Neighbors reference map for meta-analysis. In total, 83 meta-QTL (MQTL) associated with drought tolerance in maize were identified, of which 20 were determined as core MQTL. The average confidence interval of MQTL was strongly reduced compared to that of the previously published QTL. Nearly half of the MQTL were confirmed by co-localized marker-trait associations from genome-wide association studies. Based on the alignment of rice proteins related to drought tolerance, 63 orthologous genes were identified near the maize MQTL. Furthermore, 583 candidate genes were identified within the 20 core MQTL regions and maize–rice homologous genes. Based on KEGG analysis of candidate genes, plant hormone signaling pathways were found to be significantly enriched. The signaling pathways can have direct or indirect effects on drought tolerance and also interact with other pathways. In conclusion, this study provides novel insights into the genetic and molecular mechanisms of drought tolerance in maize towards a more targeted improvement of this important trait in breeding.

show abstract

Section: The Homology Among Plant Species Shows Promising Prospect To...mentioning

confidence: 99%

Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (Zea mays L.)

Li,

Wang,

et al. 2024

IJMS

View full text Add to dashboard Cite

show abstract

Barley stripe mosaic virus-induced gene silencing for functional validation of abiotic stress in barley

Admas,

Wudu,

Berhanie

2024

Funct Integr Genomics

View full text Add to dashboard Cite

Decoding the genetic blueprint: regulation of key agricultural traits in sorghum

Liu,

Wodajo,

Xie

2024

Adv. Biotechnol.

View full text Add to dashboard Cite

Sorghum, the fifth most important crop globally, thrives in challenging environments such as arid, saline-alkaline, and infertile regions. This remarkable crop, one of the earliest crops domesticated by humans, offers high biomass and stress-specific properties that render it suitable for a variety of uses including food, feed, bioenergy, and biomaterials. What’s truly exciting is the extensive phenotypic variation in sorghum, particularly in traits related to growth, development, and stress resistance. This inherent adaptability makes sorghum a game-changer in agriculture. However, tapping into sorghum’s full potential requires unraveling the complex genetic networks that govern its key agricultural traits. Understanding these genetic mechanisms is paramount for improving traits such as yield, quality, and tolerance to drought and saline-alkaline conditions. This review provides a comprehensive overview of functionally characterized genes and regulatory networks associated with plant and panicle architectures, as well as stress resistance in sorghum. Armed with this knowledge, we can develop more resilient and productive sorghum varieties through cutting-edge breeding techniques like genome-wide selection, gene editing, and synthetic biology. These approaches facilitate the identification and manipulation of specific genes responsible for desirable traits, ultimately enhancing agricultural performance and adaptability in sorghum.

show abstract

SbMYC2 mediates jasmonic acid signaling to improve drought tolerance via directly activating SbGR1 in sorghum

Cited by 5 publications

References 52 publications

Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (Zea mays L.)

Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (Zea mays L.)

Barley stripe mosaic virus-induced gene silencing for functional validation of abiotic stress in barley

Decoding the genetic blueprint: regulation of key agricultural traits in sorghum

Contact Info

Product

Resources

About