The plastomes were de novo assembled from the genome skimming data using the GetOrganelle toolkit (Jin et al., 2020 (link)). The complete plastome of C. hainanensis (NC_042392) was used as the reference. Plastid genes were annotated using PGA (Qu et al., 2019 (link)) and coupled with manual adjustment in Geneious v8.0.2 (Kearse et al., 2012 (link)). The tRNAs were checked with tRNAscan-SE v2.0.3 (Lowe and Chan, 2016 (link)). Final plastid genome map was drawn using OGDRAW (Lohse et al., 2013 (link)).
Nebnext ultra iitmdna library prep kit
The NEBNext® Ultra IITM DNA Library Prep Kit is a laboratory equipment product designed for the preparation of DNA libraries for next-generation sequencing. The kit provides the necessary reagents and protocols for the conversion of DNA samples into indexed, adapter-ligated libraries.
3 protocols using nebnext ultra iitmdna library prep kit
Plastome Assembly from Genome Skimming
The plastomes were de novo assembled from the genome skimming data using the GetOrganelle toolkit (Jin et al., 2020 (link)). The complete plastome of C. hainanensis (NC_042392) was used as the reference. Plastid genes were annotated using PGA (Qu et al., 2019 (link)) and coupled with manual adjustment in Geneious v8.0.2 (Kearse et al., 2012 (link)). The tRNAs were checked with tRNAscan-SE v2.0.3 (Lowe and Chan, 2016 (link)). Final plastid genome map was drawn using OGDRAW (Lohse et al., 2013 (link)).
Genomic DNA Extraction and Sequencing
PCR mixtures and procedures for the amplification of ITS (including partial 18S, ITS1, 5.8S, ITS2, and partial 26S) and ETS followed those described in Chen et al. (2016a) (link), using primer pairs of 17SE and 26SE (Sun et al., 1994 (link)), and ETS-B (Beardsley and Olmstead, 2002 (link)) and 18S-IGS (Baldwin and Markos, 1998 (link)) for ITS and ETS, respectively. The PCR products were purified and sequenced by the Sangon Biotech (Shanghai, China) on an ABI 3730xl DNA Analyzer (Applied Biosystems, CA, United States).
Plastid genome sequencing and annotation
The paired-end reads were filtered using the GetOrganelle pipeline (
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