Study on the Extraction and Identification of DNA from Ten Dalbergia Species

Author:

Gan Changtao1,He Haishan2,Qiu Jian3

Affiliation:

1. College of Art and Design, Southwest Forestry University, Kunming 650224, China

2. Industrial Engineering Institute, Yunnan Forestry Technological College, Kunming 650224, China

3. International Joint Research Center for Biomass Materials, Southwest Forestry University, Kunming 650224, China

Abstract

Most Dalbergia species are economically valuable and have been over-exploited, which has raised concerns. The regulation and protection of this genus require accurate and rapid authentication and identification processes. To address the issue of high residual inhibitors in extracted DNA from the Dalbergia xylem, an optimized DNA extraction experiment was performed on 10 species of Dalbergia wood stored for 1–5 years; in particular, no gene sequence for D. tsoi can be found in the NCBI database. Additionally, universal primers ITS2 were used for PCR amplification and sequencing to confirm the effectiveness of DNA extraction. The results revealed that rinsing the wood with 0.25 M ammonium acetate buffer produced DNA with a high purity, without a significant decrease in the DNA yield. To achieve an optimal DNA yield, the wood DNA should be rinsed with ammonium acetate fewer than three times. All the wood DNA obtained using the kit method and treated with the ammonium acetate buffer rinsing solution one to four times was successfully amplified. The NJ phylogenetic tree constructed based on ITS2 can distinguish D. tsoi from other Dalbergia spp., and the predicted ITS2 secondary structure showed the difference between species. This experiment extracted high-quality DNA from wood, without the need for purification kits, thereby improving the efficiency of the extraction process. The extracted DNA was directly used for follow-up molecular experiments.

Funder

the Provincial Key Basic Research Project of China

Publisher

MDPI AG

Subject

Forestry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3