2022
DOI: 10.1038/s41598-022-22600-7
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De novo assembly and characterization of the draft genome of the cashew (Anacardium occidentale L.)

Abstract: Cashew is the second most important tree nut crop in the global market. Cashew is a diploid and heterozygous species closely related to the mango and pistachio. Its improvement by conventional breeding is slow due to the long juvenile phase. Despite the economic importance, very little genomics/transcriptomics information is available for cashew. In this study, the Oxford nanopore reads and Illumina reads were used for de novo assembly of the cashew genome. The hybrid assembly yielded a 356.6 Mb genome corresp… Show more

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Cited by 4 publications
(3 citation statements)
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“…The Cashew Microsatellite Database (CMDB) is an online relational database that stores the microsatellite repeats information mined from the recently sequenced cashew genome ( Savadi et al., 2022b ) and the shoot transcriptome ( Savadi et al., 2022a ), as well as the experimentally validated SSR markers. CMBD is available at https://www.cashewmicrosatellitesdatabase.in/ .…”
Section: Resultsmentioning
confidence: 99%
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“…The Cashew Microsatellite Database (CMDB) is an online relational database that stores the microsatellite repeats information mined from the recently sequenced cashew genome ( Savadi et al., 2022b ) and the shoot transcriptome ( Savadi et al., 2022a ), as well as the experimentally validated SSR markers. CMBD is available at https://www.cashewmicrosatellitesdatabase.in/ .…”
Section: Resultsmentioning
confidence: 99%
“…The whole-genome sequence (356 MB size, 92% BUSCO value) of cashew cv. Bhaskara generated by hybrid assembly of Illumina mate-pair reads and Oxford Nanopore reads at ICAR-DCR ( Savadi et al., 2022b ) and deposited in the National Centre for Biotechnology Information (NCBI) database (PRJNA766521) was used for the mining of genome-wide microsatellites/SSRs. The PolyMorphPredict software, which permits in silico mining of microsatellites and designs primers from genome and transcriptome data, was used to discover and characterize the composition and distributions of genome-wide SSRs ( Das et al., 2019 ).…”
Section: Methodsmentioning
confidence: 99%
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