2019
DOI: 10.21203/rs.2.16423/v1
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Genome-wide Identification of the POD Gene Family and their Expression Profiling in Grapevine (Vitis vinifera L)

Abstract: Abstract The purpose of this study is by extending the analysis of class III peroxidases (PODs) in grapevine and provide further insights into the organ-specific developmental role in transcriptional dynamics and gene duplication analysis of this economically important fruit crop species. Herein, we comprehensively identified 47 PODs in the grapevine genome and are further classified into 7 subgroups based on their phylogenetic analysis. Results of motif composition and… Show more

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Cited by 1 publication
(2 citation statements)
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“…Genomic DNA was isolated from leaf samples, paired-end sequencing libraries were constructed, and libraries were sequenced using the Illumina HiSeq 4000 platform with 150-bp paired reads to a target coverage of 30x. The raw sequencing data have been deposited in the Short Read Archive at NCBI under BioProject ID: PRJNA910315 ( 74 ) and the National Genomics Data Center (NGDC) Genome Sequence Archive with BioProject number: PRJCA016655 ( 75 ). We also used Illumina raw reads of 305 samples from previous publications that were downloaded from the Short Read Archive at NCBI.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Genomic DNA was isolated from leaf samples, paired-end sequencing libraries were constructed, and libraries were sequenced using the Illumina HiSeq 4000 platform with 150-bp paired reads to a target coverage of 30x. The raw sequencing data have been deposited in the Short Read Archive at NCBI under BioProject ID: PRJNA910315 ( 74 ) and the National Genomics Data Center (NGDC) Genome Sequence Archive with BioProject number: PRJCA016655 ( 75 ). We also used Illumina raw reads of 305 samples from previous publications that were downloaded from the Short Read Archive at NCBI.…”
Section: Methodsmentioning
confidence: 99%
“…Data (genome sequences; script) have been deposited in NCBI, NGDC and GitHub ( PRJNA910315 ( 74 ); PRJCA016655 ( 75 ); https://github.com/zhouyflab/Grapevine_Adaptive_Maladaptive_Introgression ( 81 )).…”
Section: Data Materials and Software Availabilitymentioning
confidence: 99%