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利用 RNA 测序分析鉴定控制紫花苜蓿花色变异的调控网络和枢纽基因。

Identification of the regulatory networks and hub genes controlling alfalfa floral pigmentation variation using RNA-sequencing analysis.

机构信息

Lanzhou Institute of Husbandry and Pharmaceutical Science, Chinese Academy of Agricultural Sciences, Lanzhou, China.

College of Ecological Environment and Resources, Qinghai Nationalities University, Xining, China.

出版信息

BMC Plant Biol. 2020 Mar 12;20(1):110. doi: 10.1186/s12870-020-2322-9.

DOI:10.1186/s12870-020-2322-9
PMID:32164566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7068929/
Abstract

BACKGROUND

To understand the gene expression networks controlling flower color formation in alfalfa, flowers anthocyanins were identified using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, and transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed, across four flower developmental stages.

RESULTS

Malvidin and petunidin glycoside derivatives were the major anthocyanins in the flowers of Defu, which were lacking in the flowers of Zhongtian No. 3. The two transcriptomic datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL, 4CL, CHS, CHR, F3'H, DFR, and UFGT were enriched in the important modules. Additionally, PAL6, PAL9, 4CL18, CHS2, 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed.

CONCLUSIONS

These analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development.

摘要

背景

为了了解控制紫花苜蓿花色形成的基因表达网络,本研究使用两种花色差异较大的材料(Defu 和 Zhongtian No.3)鉴定花中的花色苷,并对 PacBio 全长测序与 RNA 测序相结合的转录组进行分析,共涉及四个花发育阶段。

结果

Defu 花中的主要花色苷为矢车菊素和飞燕草素糖苷衍生物,而 Zhongtian No.3 花中则缺乏这些物质。这两个转录组数据集为紫花苜蓿花色形成的动态基因表达网络提供了全面的系统水平视图。通过加权基因共表达网络分析,我们从与花发育阶段密切相关的模块中鉴定出候选基因和枢纽基因。PAL、4CL、CHS、CHR、F3'H、DFR 和 UFGT 在重要模块中富集。此外,PAL6、PAL9、4CL18、CHS2、4 和 8 被鉴定为枢纽基因。因此,提出了一个解释 Zhongtian No.3 花中缺乏紫色的假说。

结论

这些分析鉴定出了大量潜在的关键调控因子,控制着花色色素的形成,从而为紫花苜蓿花发育的分子网络提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/8020ade49199/12870_2020_2322_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/996203a44fb6/12870_2020_2322_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/0d4ea88f19d1/12870_2020_2322_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/256276abd615/12870_2020_2322_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/c3f2c7315fde/12870_2020_2322_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/8020ade49199/12870_2020_2322_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/ffa1a6ac6fc5/12870_2020_2322_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/49568e329348/12870_2020_2322_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/d10a36af40b2/12870_2020_2322_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/ad6ca5262f1f/12870_2020_2322_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/0f4cbfb71f86/12870_2020_2322_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/996203a44fb6/12870_2020_2322_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/0d4ea88f19d1/12870_2020_2322_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/9838cea4485a/12870_2020_2322_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/256276abd615/12870_2020_2322_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/c3f2c7315fde/12870_2020_2322_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33e/7068929/8020ade49199/12870_2020_2322_Fig11_HTML.jpg

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