| Literature DB >> 28470009 |
Jingjuan Li1, Yihui Zhang1, Qian Ding1, Huayin Li1, Lifeng Liu1, Fengde Wang1, Jianwei Gao1.
Abstract
Due to the visual appearance and high carotenoid content, orange inner leaves are a desirable trait for the Chinese cabbage. To understand the molecular mechanism underlying the formation of orange inner leaves, the BrCRTISO (Bra031539) gene, as the Br-or candidate gene, was analyzed among the white and orange varieties, and 7 single nucleotide polymorphisms (SNPs) were identified. However, only one SNP (C952 to T952) altered the amino acid sequence, resulting in a mutation from Leu318 to Phe318 in the orange varieties. Additionally, we analyzed differentially expressed genes (DEGs) between the orange and white F2 individuals (14-401 × 14-490) and found four downregulated genes were involved in the carotenoid biosynthesis pathway, which may lead to the accumulation of prolycopene and other carotenoid pigments in the orange inner leaves. In addition, we developed a novel InDel marker in the first intron, which cosegregates with the phenotypes of orange color inner leaves. In conclusion, these findings enhance our understanding of the underlying mechanism of pigment accumulation in the inner leaves of the Chinese cabbage. Additionally, the SNP (C952 to T952) and the InDel marker will facilitate the marker-assisted selection during Chinese cabbage breeding.Entities:
Year: 2017 PMID: 28470009 PMCID: PMC5392394 DOI: 10.1155/2017/6835810
Source DB: PubMed Journal: Int J Genomics ISSN: 2314-436X Impact factor: 2.326
Figure 1The phenotypes of the 14-401 and 14-490 varieties. 14-401 has the white inner leaves, and 14-490 has the orange inner leaves.
Figure 2Polymorphic sequences of the BrCRTISO genes in the white and orange Chinese cabbage varieties. 14-401, 91-112 [15], A21445 [10], and Chiifu-401 (from Brassica database, BRAD) are the cabbages with the white inner leaves. 14-490, 12-9 [15]), and A21530 [10] are the cabbages with the orange inner leaves. The red lines represent the exons.
Summary of read numbers.
| Read category | Map to annotation gene | Map to genome | ||
|---|---|---|---|---|
| Orange | White | Orange | White | |
| Total reads | 11,692,280 | 12,426,002 | 11,692,280 | 12,426,002 |
| Total base pairs | 572,921,720 | 608,874,098 | 572,921,720 | 608,874,098 |
| Total mapped reads | 7,816,773 | 8,342,444 | 9,609,140 | 10,261,712 |
| Perfect match | 5,729,753 | 6,140,776 | 7,003,617 | 7,518,873 |
| ≤2 bp mismatch | 2,087,020 | 2,201,668 | 2,605,523 | 2,742,839 |
| Unique match | 7,308,446 | 7,787,139 | 8,607,533 | 9,166,275 |
| Multiposition match | 508,327 | 555,305 | 1,001,607 | 1,095,437 |
| Total unmapped reads | 3,875,507 | 4,083,558 | 2,083,140 | 2,164,290 |
RNA-seq experiment validation by RT-qPCR. RPKM: reads per kb per million reads; FDR: false discovery rate; SE: standard error. The p value was calculated by the SPSS software.
| Gene ID | RNA-seq | RT-qPCR | ||||
|---|---|---|---|---|---|---|
| RPKM | FDR | 2-ΔCT (mean ± SE) |
| |||
| Orange | White | Orange | White | |||
| Bra035683 | 9.18 | 3.68 | 2.30 | 0.0070 ± 0.00023 | 0.0073 ± 0.00115 | 0.812 |
| Bra039047 | 0.09 | 4.26 | 2.03 | 0.0009 ± 0.00007 | 0.0426 ± 0.00036 | 0 |
| Bra011759 | 1.54 | 10.23 | 1.13 | 0.0004 ± 0.00002 | 0.0189 ± 0.00185 | 0.01 |
| Bra010598 | 0.99 | 6.14 | 2.31 | 0.0002 ± 0.00001 | 0.0112 ± 0.00068 | 0.004 |
| Bra004735 | 0.81 | 4.43 | 0.000355 | 0.0005 ± 0.00004 | 0.0329 ± 0.00257 | 0.006 |
| Bra025756 | 15.30 | 44.25 | 1.74 | 0.0020 ± 0.00021 | 0.0233 ± 0.00091 | 0 |
| Bra031132 | 3.12 | 7.98 | 0.00027 | 0.0044 ± 0.00012 | 0.0067 ± 0.00015 | 0 |
| Bra024643 | 6.58 | 16.11 | 2.31 | 0.0130 ± 0.00076 | 0.0232 ± 0.00178 | 0.006 |
| Bra039555 | 10.39 | 23.40 | 1.82 | 0.0043 ± 0.00025 | 0.0199 ± 0.00313 | 0.037 |
| Bra040203 | 8.33 | 16.68 | 8.20 | 0.0425 ± 0.00138 | 0.1340 ± 0.01970 | 0.01 |
| Bra031539 | 2.71 | 3.34 | 0.732593 | 0.0155 ± 0.00059 | 0.0170 ± 0.00130 | 0.373 |
KEGG pathway-enrichment analysis in DEGs (Q value ≤ 0.05).
| Pathway ID | Pathway annotation | DEGs with pathway annotation |
|
|---|---|---|---|
| ko01110 | Biosynthesis of secondary metabolites | Bra035683, Bra039047, Bra029560, Bra001454,
| 0.000697023 |
| ko00906 | Carotenoid biosynthesis | Bra004735, Bra018969, Bra039945, Bra040203 | 0.001346228 |
| ko00945 | Stilbenoid, diarylheptanoid,
| Bra039047, Bra011759, Bra010598, Bra039555 | 0.011866805 |
| ko00130 | Ubiquinone and other
| Bra029560, Bra031132 | 0.032958714 |
| ko00903 | Limonene and pinene degradation | Bra039047, Bra011759, Bra010598 | 0.032958714 |
Figure 3Diagram showing the relationship between the downregulated DEGs and the carotenoid biosynthesis pathway (ko00906, http://www.kegg.jp/kegg-bin/show_pathway?ko00906). The green boxes represent the downregulated genes in the orange inner leaves, and the red box represents the mutated BrCRTISO gene.
Figure 4Validation of the gene-specific markers in different white and orange cultivars and F2 populations. (a) The amplified fragments by the Bror-intron 1-F/R primers in 14-401 and 14-490. The blue lines indicate where the Bror-intron 1-F/R primers bind. The red arrows represent the boundaries of the exon/intron. (b) Validation of the gene-specific marker Bror-intron 1 in the parents 14-401 and 14-490 and its F2 individuals. Among the F2 individuals, 1–11 are the lines with the white inner leaves, and 12–19 are the lines with the orange inner leaves. (c) Validation of the gene-specific marker Bror-intron 1 in the breeding lines. 1–11 are 663, 1466, 1469, 1492, 1505, 1510, 1720, Hanxiu, Jindianchunwang, Kaichun, and Ribenxiayang with the white or yellow inner leaves. 12–23 are 1480, 14-102, 14-245, 14-253, 14-257, 14-277, 14-426, 14-662, 14-669, Changyanjubao, Shenmengjuhongxin, and Shenshijuhongxin with the orange inner leaves.