2019
DOI: 10.21203/rs.2.14054/v3
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Transcriptome analysis reveals the roles of stem nodes in cadmium transport to rice grain

Abstract: Background: Node is the central organ of transferring nutrients and ions in plants. Cadmium (Cd) induced crop pollution threatens the food safety. Breeding of low Cd accumulation cultivar is a chance to resolve this universal problem. This study was performed to identify tissue specific genes involved in Cd accumulation in different rice stem nodes. Panicle node and the first node under panicle (node I) were sampled in two rice cultivars: Xiangwanxian No. 12 (low Cd accumulation cultivar) and Yuzhenxiang (high… Show more

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(2 citation statements)
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“…Previous studies have reported that there is a higher Cd accumulation in the first node under panicle, panicle node, and grains of YZX cultivar compared to XWX cultivar [16,18]. We supposed that the difference in grain Cd accumulation in these two rice cultivars might be caused by the discrepancy of root Cd absorptive ability.…”
Section: Accumulation Difference In the Roots Of Yzx And Xwx At Four Different Growth Stagesmentioning
confidence: 80%
See 1 more Smart Citation
“…Previous studies have reported that there is a higher Cd accumulation in the first node under panicle, panicle node, and grains of YZX cultivar compared to XWX cultivar [16,18]. We supposed that the difference in grain Cd accumulation in these two rice cultivars might be caused by the discrepancy of root Cd absorptive ability.…”
Section: Accumulation Difference In the Roots Of Yzx And Xwx At Four Different Growth Stagesmentioning
confidence: 80%
“…More specifically, rice Cd concentration is closely associated with heading time, soil pH, mutation/dysregulation/diversity of multiple genes, or quantitative trait locus related to Cd response (absorption, translocation, and accumulation) among different rice subspecies and cultivars [12,13]. Over the past decades, high-throughput RNA sequencing (RNA-seq) in combination with function annotation/ enrichment and bioinformatics prediction analysis has been widely used to decipher or speculate the essential genes/biological processes/pathways under different conditions at the transcriptomic level and gain a deep and comprehensive understanding of molecular basis underlying the phenotypic/biological differences in plants including rice [14][15][16].…”
Section: Introductionmentioning
confidence: 99%