2020
DOI: 10.1186/s12915-020-00798-0
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A genome-wide survey of copy number variations reveals an asymmetric evolution of duplicated genes in rice

Abstract: Background Copy number variations (CNVs) are an important type of structural variations in the genome that usually affect gene expression levels by gene dosage effect. Understanding CNVs as part of genome evolution may provide insights into the genetic basis of important agricultural traits and contribute to the crop breeding in the future. While available methods to detect CNVs utilizing next-generation sequencing technology have helped shed light on prevalence and effects of CNVs, the complexity of crop geno… Show more

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Cited by 8 publications
(5 citation statements)
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“…In plants, similar observations were recently made. In Oryza sativa, 4.5% of analyzed genes showed a negative correlation, 82.32% showed no significant correlations, and only 13.7% of genes showed a significant positive correlation with copy number [57].…”
Section: Vrn1 Copy Number Variationmentioning
confidence: 93%
“…In plants, similar observations were recently made. In Oryza sativa, 4.5% of analyzed genes showed a negative correlation, 82.32% showed no significant correlations, and only 13.7% of genes showed a significant positive correlation with copy number [57].…”
Section: Vrn1 Copy Number Variationmentioning
confidence: 93%
“…Since CNVs are ubiquitous and encompass more nucleotides per genome than the total number of SNPs [ 21 , 30 ], more attention has recently been paid to their role. There are a growing number of investigations in plant species such as maize [ 31 , 32 , 33 ], Arabidopsis [ 28 , 34 , 35 ], rice [ 36 , 37 ], wheat [ 38 , 39 ], barley [ 40 , 41 , 42 ], banana [ 43 ], tomato [ 44 ], and soybean [ 45 , 46 ], suggesting that genes affected by CNVs are associated with agronomically important traits.…”
Section: Introductionmentioning
confidence: 99%
“…The raw reads filtered out those corresponding to adapter sequences, those with more than a 10% N content, and those <10 bases and selected those with more than a 50% quality value. All sequencing data were aligned to the Saccharum spontaneum reference genome (Zhang et al, 2018) by BWA software (fast and accurate short read alignment with the Burrows-Wheeler transform; Giannoulatou et al, 2014), and PCR duplicates reads were further removed by SAMtools (v1.3.167, the Sequence Alignment/Map format and SAMtools; Zhao et al, 2020). SNPs were identified among 216 samples by the HaplotypeCaller module of GATK (v3.868) in GVCF mode (The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data; Bernhardsson et al, 2020).…”
Section: The Whole-genome Resequencing and Genotypingmentioning
confidence: 99%