QTL mapping and candidate gene analysis reveal two major loci regulating green leaf color in non-heading Chinese cabbage

Key message Two major-effect QTL GlcA07.1 and GlcA09.1 for green leaf color were fine mapped into 170.25 kb and 191.41 kb intervals on chromosomes A07 and A09, respectively, and were validated by transcriptome analysis. Abstract Non-heading Chinese cabbage (NHCC) is a leafy vegetable with a wide range of green colors. Understanding the genetic mechanism behind broad spectrum of green may facilitate the breeding of high-quality NHCC. Here, we used $ F_{2} $ and $ F_{7:8} $ recombination inbred line (RIL) population from a cross between Wutacai (dark-green) and Erqing (lime-green) to undertake the genetic analysis and quantitative trait locus (QTL) mapping in NHCC. The genetic investigation of the $ F_{2} $ population revealed that the variation of green leaf color was controlled by two recessive genes. Six pigments associated with green leaf color, including total chlorophyll, chlorophyll a, chlorophyll b, total carotenoids, lutein, and carotene were quantified and applied for QTL mapping in the RIL population. A total of 7 QTL were detected across the whole genome. Among them, two major-effect QTL were mapped on chromosomes A07 (GlcA07.1) and A09 (GlcA09.1) corresponding to two QTL identified in the $ F_{2} $ population. The QTL GlcA07.1 and GlcA09.1 were further fine mapped into 170.25 kb and 191.41 kb genomic regions, respectively. By comparing gene expression level and gene annotation, BraC07g023810 and BraC07g023970 were proposed as the best candidates for GlcA07.1, while BraC09g052220 and BraC09g052270 were suggested for GlcA09.1. Two InDel molecular markers (GlcA07.1-BcGUN4 and GlcA09.1-BcSG1) associated with BraC07gA023810 and BraC09g052220 were developed and could effectively identify leaf color in natural NHCC accessions, suggesting their potential for marker-assisted leaf color selection in NHCC breeding..

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:137

Enthalten in:

Theoretical and applied genetics - 137(2024), 5 vom: 15. Apr.

Sprache:

Englisch

Beteiligte Personen:

Bai, Aimei [VerfasserIn]
Zhao, Tianzi [VerfasserIn]
Li, Yan [VerfasserIn]
Zhang, Feixue [VerfasserIn]
Wang, Haibin [VerfasserIn]
Shah, Sayyed Hamad Ahmad [VerfasserIn]
Gong, Li [VerfasserIn]
Liu, Tongkun [VerfasserIn]
Wang, Yuhui [VerfasserIn]
Hou, Xilin [VerfasserIn]
Li, Ying [VerfasserIn]

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48.58

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© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s00122-024-04608-x

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR055524575