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(落羽杉×墨西哥落羽杉)×墨西哥落羽杉生长性状的高密度遗传图谱构建和数量性状位点定位。

High-density genetic map construction and quantitative trait loci identification for growth traits in (Taxodium distichum var. distichum × T. mucronatum) × T. mucronatum.

机构信息

Plant Ecology Research Center, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China.

出版信息

BMC Plant Biol. 2018 Nov 1;18(1):263. doi: 10.1186/s12870-018-1493-0.

Abstract

BACKGROUND

'Zhongshanshan' is the general designation for the superior interspecific hybrid clones of Taxodium species, which is widely grown for economic and ecological purposes in southern China. Growth is the priority objective in 'Zhongshanshan' tree improvement. A high-density linkage map is vital to efficiently identify key quantitative trait loci (QTLs) that affect growth.

RESULTS

In total, 403.16 Gb of data, containing 2016,336 paired-end reads, was obtained after preprocessing. The average sequencing depth was 28.49 in T. distichum var. distichum, 25.18 in T. mucronatum, and 11.12 in each progeny. In total, 524,662 high-quality SLAFs were detected, of which 249,619 were polymorphic, and 6166 of the polymorphic markers met the requirements for use in constructing a genetic map. The final map harbored 6156 SLAF markers on 11 linkage groups, and was 1137.86 cM in length, with an average distance of 0.18 cM between adjacent markers. Separate QTL analyses of traits in different years by CIM detected 7 QTLs. While combining multiple-year data, 13 QTLs were detected by ICIM. 5 QTLs were repeatedly detected by the two methods, and among them, 3 significant QTLs (q6-2, q4-2 and q2-1) were detected in at least two traits. Bioinformatic analysis discoveried a gene annotated as a leucine-rich repeat receptor-like kinase gene within q4-2.

CONCLUSIONS

This map is the most saturated one constructed in a Taxodiaceae species to date, and would provide useful information for future comparative mapping, genome assembly, and marker-assisted selection.

摘要

背景

“中山杉”是落羽杉属种间杂种优势无性系的统称,在中国南方广泛种植,具有经济和生态价值。生长是“中山杉”树改良的首要目标。高密度的连锁图谱对于有效地识别影响生长的关键数量性状位点(QTLs)至关重要。

结果

经过预处理,共获得 403.16 Gb 数据,包含 2016336 对末端读长。在落羽杉、池杉和每个后代中,平均测序深度分别为 28.49、25.18 和 11.12。共检测到 524662 个高质量 SLAF,其中 249619 个为多态性,6166 个多态性标记符合构建遗传图谱的要求。最终图谱包含 11 个连锁群上的 6156 个 SLAF 标记,长度为 1137.86 cM,相邻标记之间的平均距离为 0.18 cM。CIM 对不同年份性状的单独 QTL 分析检测到 7 个 QTL。而通过 ICIM 对多年数据进行组合分析,检测到 13 个 QTL。两种方法共检测到 5 个 QTL,其中 3 个显著 QTL(q6-2、q4-2 和 q2-1)在至少两个性状中被检测到。生物信息学分析在 q4-2 中发现了一个注释为富含亮氨酸重复受体样激酶基因的基因。

结论

这是迄今为止在杉科植物中构建的最饱和图谱,将为未来的比较作图、基因组组装和标记辅助选择提供有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d0/6474422/6c2313a5dc10/12870_2018_1493_Fig1_HTML.jpg

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