Malus sieversii: a historical, genetic, and conservational perspective of the primary progenitor species of domesticated apples

生物 驯化 苹果属植物 遗传多样性 背景(考古学) 渗入 航程(航空) 生态学 遗传学 人口 复合材料 社会学 人口学 古生物学 基因 材料科学
作者
Richard Tegtmeier,Anže Švara,Dilyara Gritsenko,Awais Khan
出处
期刊:Horticulture research [Nature Portfolio]
卷期号:12 (1): uhae244-uhae244 被引量:14
标识
DOI:10.1093/hr/uhae244
摘要

Abstract Apples are one of the most valued tree fruit crops around the world. Currently, a few highly popular and economically successful apple cultivars dominate the commercial production and serve as main genetic contributors to the development of new apple cultivars. This limited level of genetic diversity grown as a clonally propagated monoculture renders the apple industry vulnerable to the wide range of weather events, pests, and pathogens. Wild apple species are an excellent source of beneficial alleles for the wide range of biotic and abiotic stressors challenging apple production. However, the biological barriers of breeding with small-fruited wild apples greatly limit their use. Using a closely related wild species of apple such as Malus sieversii can improve the efficiency of breeding efforts and broaden the base of available genetics. M. sieversii is the main progenitor of the domesticated apple, native to Central Asia. The similarity of fruit morphology to domesticated apples and resistances to abiotic and biotic stresses makes it appealing for apple breeding programs. However, this important species is under threat of extinction in its native range. Preserving the wild apple forests in Central Asia is vital for ensuring the sustainable protection of this important genetic resource. The insufficient awareness about the complete range of challenges and opportunities associated with M. sieversii hinders the maximization of its potential benefits. This review aims to provide comprehensive information on the cultural and historical context of M. sieversii, current genetic knowledge for breeding, and the conservation challenges of wild apple forests.
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
刚刚
刚刚
刚刚
刚刚
1秒前
1秒前
兵王应助侯天宇采纳,获得10
1秒前
elegant122发布了新的文献求助10
2秒前
夜见发布了新的文献求助10
3秒前
3秒前
1111发布了新的文献求助10
4秒前
4秒前
6秒前
DRpeng发布了新的文献求助10
6秒前
xttju2014发布了新的文献求助10
7秒前
SciGPT应助Season采纳,获得30
7秒前
9秒前
酷波er应助自信晟睿采纳,获得10
10秒前
10秒前
Salut发布了新的文献求助10
10秒前
1111完成签到,获得积分10
11秒前
12秒前
csy发布了新的文献求助10
12秒前
15秒前
上官若男应助DRpeng采纳,获得10
15秒前
16秒前
16秒前
17秒前
JamesPei应助科研通管家采纳,获得10
17秒前
烟花应助科研通管家采纳,获得10
17秒前
molihuakai应助科研通管家采纳,获得10
17秒前
852应助科研通管家采纳,获得10
17秒前
大模型应助科研通管家采纳,获得10
17秒前
初景发布了新的文献求助10
17秒前
Jasper应助科研通管家采纳,获得10
17秒前
长情平彤发布了新的文献求助10
17秒前
我是老大应助科研通管家采纳,获得10
17秒前
Criminology34应助科研通管家采纳,获得10
18秒前
19秒前
20秒前
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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777297
求助须知:如何正确求助?哪些是违规求助? 9318392
关于积分的说明 20363957
捐赠科研通 7364423
什么是DOI,文献DOI怎么找? 3318922
关于科研通互助平台的介绍 2466578
邀请新用户注册赠送积分活动 2334129