清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Comparative Study of Genetic Structure and Genetic Diversity between Wild and Cultivated Populations of <i>Taxus cuspidata</i>, Northeast China

遗传多样性 中国 生物 植物 多样性(政治) 园艺 地理 人口学 人口 考古 政治学 社会学 法学
作者
Dandan Wang,Xiaohong Li,Yanwen Zhang
出处
期刊:Phyton-international Journal of Experimental Botany 卷期号:93 (2): 355-369 被引量:1
标识
DOI:10.32604/phyton.2024.047183
摘要

Taxus cuspidata is a rare plant with important medicinal and ornamental value. Aiming at the obvious differences between wild and cultivated populations of T. cuspidata from Northeast China, a total of 61 samples, that is, 33 wild yews and 28 cultivated yews were used to analyze the differences and correlations of the kinship, genetic diversity, and genetic structure between them by specific length amplified fragment sequencing (SLAF-seq). Finally, 470725 polymorphic SLAF tags and 58622 valid SNP markers were obtained. Phylogenetic analysis showed that 61 samples were classified into 2 clusters: wild populations and cultivated populations, and some wild yews were categorized into the cultivated populations; the genetic diversity analysis showed that the Nei diversity index of wild populations (0.4068) was smaller than that of cultivated populations (0.4414), and the polymorphic information content (PIC) of wild populations (0.2861) was smaller than that of cultivated populations (0.3309). The genetic differentiation analysis showed that the total populations of gene diversity (Ht) of cultivated and wild populations were respectively 0.8159 and 0.5685, the coefficient of gene differentiation (Gst) of cultivated and wild populations was respectively 0.3021 and 0.1068, and the gene flow (Nm) (2.4967) of wild populations was larger than cultivated populations (0.8199). The molecular variance (AMOVA) revealed that inter-population variation accounted for 29.57% of the total genetic variation, while intra-population variation accounted for 70.42% of the total genetic variation (p < 0.001), this suggested that the genetic variation in the T. cuspidata is mainly attributed to within-population factors. In conclusion, the genetic distance between geographical ecological groups of wild populations was generally smaller than that of cultivated populations, and the degree of genetic diversity and genetic differentiation was smaller than that of cultivated populations. As evident, the utilization of SLAF-seq technology enables efficient and accurate development of SNP markers suitable for genetic analysis of T. cuspidata species. These developed SNP markers can provide a molecular foundation for T. cuspidata breeding, construction of genetic maps, variety identification, and association analysis of agronomic traits.

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
健壮问兰完成签到 ,获得积分10
8秒前
巫马尔槐发布了新的文献求助10
12秒前
14秒前
cdercder应助科研通管家采纳,获得10
15秒前
wanci应助科研通管家采纳,获得10
15秒前
芹123应助科研通管家采纳,获得10
15秒前
Hao完成签到,获得积分10
16秒前
肾宝发布了新的文献求助10
17秒前
游艺完成签到 ,获得积分10
20秒前
彪行天下完成签到,获得积分10
21秒前
脑洞疼应助肾宝采纳,获得10
22秒前
小学生一年级完成签到 ,获得积分10
24秒前
燕儿完成签到 ,获得积分10
26秒前
pp完成签到 ,获得积分10
34秒前
37秒前
科研通AI6.4应助巫马尔槐采纳,获得10
43秒前
晚上吃什么完成签到 ,获得积分10
49秒前
yangy801017完成签到 ,获得积分10
50秒前
研友_Y59685完成签到 ,获得积分10
1分钟前
山是山三十三完成签到 ,获得积分10
1分钟前
1分钟前
Elthrai完成签到 ,获得积分10
1分钟前
1分钟前
zhangwuhui发布了新的文献求助10
1分钟前
科研通AI6.1应助寂寞圣贤采纳,获得10
1分钟前
吉吉国王完成签到 ,获得积分10
1分钟前
柳树完成签到,获得积分10
1分钟前
seekingalone完成签到,获得积分10
1分钟前
kkscanl完成签到 ,获得积分10
1分钟前
1分钟前
xiaojinyu完成签到,获得积分10
1分钟前
巫马尔槐发布了新的文献求助10
1分钟前
小金鱼1完成签到,获得积分10
1分钟前
桃花扇完成签到,获得积分10
1分钟前
xiaojinyu完成签到,获得积分10
1分钟前
小恐龙怪兽完成签到 ,获得积分10
1分钟前
暴躁的代亦完成签到,获得积分10
1分钟前
巫马尔槐发布了新的文献求助10
2分钟前
聪明的阿呆完成签到,获得积分10
2分钟前
cdercder应助科研通管家采纳,获得10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 500
Matrix Methods in Data Mining and Pattern Recognition 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7023273
求助须知:如何正确求助?哪些是违规求助? 8694744
关于积分的说明 18424525
捐赠科研通 6518998
什么是DOI,文献DOI怎么找? 3109812
关于科研通互助平台的介绍 2184763
邀请新用户注册赠送积分活动 2085519