Genome-wide SNP based species identification of Chinemys reevesii, Ocadia sinensis and their hybrids

生物 遗传学 基因组 单核苷酸多态性 SNP公司 基因 遗传多样性 SNP阵列 SNP基因分型 计算生物学
作者
Huang Xiaoqing,Yuxin Zhou,Hailan Zhu,Wenbin Wang,Ling Xiao,Bo Wang,Jing Nie
出处
期刊:Gene Reports [Elsevier BV]
卷期号:24: 101249- 被引量:1
标识
DOI:10.1016/j.genrep.2021.101249
摘要

Abstract Freshwater turtles have a long history as medicine and food. Due to the increasing demand, many non-cultured turtles are overfished and endangered. It is difficult to distinguish the commercially cultured Chinemys reevesii, Ocadia sinensis and their hybrid offspring by conventional method, which brings harm to variety protection and market supervision. In order to identify these turtles, we generated genomic resources of the C. reevesii double digest restriction-site associated DNA (ddRADseq) and O. sinensis re-sequencing libraries. A total of 88,087 SNP loci with high-quality were found in the genomes, and 8,617 pairs of SNP primers were carefully designed, from which 20 SNP markers were randomly selected for experimental verification, among which four markers were confirmed to distinguish C. reevesii, O. sinensis and their hybrid offspring. In order to improve the practical efficiency of the species identification, a method combining multiplex ligation-dependent probe amplification (MLPA) with real-time quantitative polymerase chain reaction (RT-PCR) was established. According to the melting curve, these turtle species can be visually and rapidly distinguished in less than 3 h with the template concentration as low as 0.01 ng/μL. This study laid a foundation for the protection of wild resources and the regulation of turtle market, and also laid a molecular foundation for genetic research of turtles, such as genetic improvement and molecular marker-assisted selection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
科研通AI5应助gjq采纳,获得10
2秒前
Owen应助小贾爱喝冰美式采纳,获得10
2秒前
1111发布了新的文献求助10
2秒前
Owen应助彩色的紫南采纳,获得10
3秒前
5秒前
量子星尘发布了新的文献求助10
5秒前
zz发布了新的文献求助10
5秒前
zdesfsfa完成签到,获得积分10
6秒前
陶然共忘机完成签到 ,获得积分10
7秒前
kytlzq完成签到,获得积分10
8秒前
8秒前
丘比特应助不安一鸣采纳,获得10
8秒前
科研通AI5应助立军采纳,获得10
8秒前
欢喜小霸王完成签到,获得积分10
8秒前
调皮秋凌发布了新的文献求助10
10秒前
YX完成签到,获得积分10
10秒前
10秒前
汉堡包应助刻苦的源智采纳,获得10
11秒前
addestay完成签到 ,获得积分10
13秒前
14秒前
14秒前
量子星尘发布了新的文献求助10
16秒前
16秒前
sansansan发布了新的文献求助10
17秒前
17秒前
小猴同学完成签到 ,获得积分10
17秒前
fabian完成签到,获得积分10
18秒前
Zekun发布了新的文献求助10
19秒前
19秒前
20秒前
从容的路灯完成签到,获得积分10
21秒前
自然墨镜发布了新的文献求助10
21秒前
量子星尘发布了新的文献求助10
21秒前
传奇3应助椰奶采纳,获得10
21秒前
nozero应助zhang采纳,获得30
21秒前
xs发布了新的文献求助10
21秒前
李爱国应助tiomooo采纳,获得10
22秒前
geyunjie完成签到,获得积分20
23秒前
CipherSage应助冷傲的白卉采纳,获得10
23秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
An experimental and analytical investigation on the fatigue behaviour of fuselage riveted lap joints: The significance of the rivet squeeze force, and a comparison of 2024-T3 and Glare 3 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3664299
求助须知:如何正确求助?哪些是违规求助? 3224405
关于积分的说明 9757262
捐赠科研通 2934339
什么是DOI,文献DOI怎么找? 1606816
邀请新用户注册赠送积分活动 758829
科研通“疑难数据库(出版商)”最低求助积分说明 735012