OsYUCCA2 deficiency in rice growth and development

Han, Xiuli; Zhao, Fangming

doi:10.1590/0103-8478cr20210327

Cited by 1 publication

(1 citation statement)

References 20 publications

(41 reference statements)

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“…(ii) Genes involved in hormone metabolism: Maize orthologs of six rice genes, namely, OsYUCCA9 , OsYUCCA10 ( Zm00001eb332870 ), OsYUCCA12 , OsYUCCA13 , OsYUCCA14 ( Zm00001eb168680 ), and OsCKX1 ( Zm00001eb121500 ), detected within MQTL3.6, MQTL4.7, and MQTL8.2 are involved in hormone metabolism. YUCCA family genes are known to regulate auxin biosynthesis in the root apex transition zone required for root growth and development in maize and rice [ 79 ]. OsCKX1 is involved in cytokinin metabolism and plays a positive role in crown root formation in rice and Arabidopsis [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding

Karnatam

Chhabra

Saini

et al. 2023

IJMS

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Root system architecture (RSA), also known as root morphology, is critical in plant acquisition of soil resources, plant growth, and yield formation. Many QTLs associated with RSA or root traits in maize have been identified using several bi-parental populations, particularly in response to various environmental factors. In the present study, a meta-analysis of QTLs associated with root traits was performed in maize using 917 QTLs retrieved from 43 mapping studies published from 1998 to 2020. A total of 631 QTLs were projected onto a consensus map involving 19,714 markers, which led to the prediction of 68 meta-QTLs (MQTLs). Among these 68 MQTLs, 36 MQTLs were validated with the marker-trait associations available from previous genome-wide association studies for root traits. The use of comparative genomics approaches revealed several gene models conserved among the maize, sorghum, and rice genomes. Among the conserved genomic regions, the ortho-MQTL analysis uncovered 20 maize MQTLs syntenic to 27 rice MQTLs for root traits. Functional analysis of some high-confidence MQTL regions revealed 442 gene models, which were then subjected to in silico expression analysis, yielding 235 gene models with significant expression in various tissues. Furthermore, 16 known genes viz., DXS2, PHT, RTP1, TUA4, YUC3, YUC6, RTCS1, NSA1, EIN2, NHX1, CPPS4, BIGE1, RCP1, SKUS13, YUC5, and AW330564 associated with various root traits were present within or near the MQTL regions. These results could aid in QTL cloning and pyramiding in developing new maize varieties with specific root architecture for proper plant growth and development under optimum and abiotic stress conditions.

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Section: Discussionmentioning

confidence: 99%