Genetic Model Identification and Major QTL Mapping for Petiole Thickness in Non-Heading Chinese Cabbage.

SMXL6 genetic model major QTL non-heading Chinese cabbage petiole thickness

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
09 Jan 2024
Historique:
received: 06 12 2023
revised: 22 12 2023
accepted: 22 12 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: epublish

Résumé

Petioles of non-heading Chinese cabbage are not only an important edible part but also a conduit for nutrient transport, holding significant agricultural and research value. In this study, we conducted a comprehensive genetic analysis of petiole-related traits using a segregating population. Modern quantitative genetic approaches were applied to investigate the genetic regulation of petiole thickness. The results indicated that petiole thickness is a quantitative trait, and the identified genetic model was consistent with two pairs of additive-dominant main genes and additive-dominant polygenes (2MG-AD). BSA-seq analysis identified a major effect of QTL controlling petiole thickness on chromosome A09: 42.08-45.09 Mb, spanning 3.01 Mb, designated as

Identifiants

pubmed: 38255876
pii: ijms25020802
doi: 10.3390/ijms25020802
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : the national bulk vegetable industry technology system project
ID : CARS-23-G22
Organisme : Shaanxi Province key research and development plan project
ID : 2020NY-061
Organisme : Shaanxi Province key research and development plan project
ID : 2021LLRH-07

Auteurs

Guangyuan Liu (G)

Vegetables Engineering and Technology Research Center of Shaanxi Province, College of Horticulture, Northwest A & F University, Yangling, Xianyang 712100, China.

Yongkuan Li (Y)

Vegetables Engineering and Technology Research Center of Shaanxi Province, College of Horticulture, Northwest A & F University, Yangling, Xianyang 712100, China.

Jia Si (J)

Vegetables Engineering and Technology Research Center of Shaanxi Province, College of Horticulture, Northwest A & F University, Yangling, Xianyang 712100, China.

Rong Lu (R)

Vegetables Engineering and Technology Research Center of Shaanxi Province, College of Horticulture, Northwest A & F University, Yangling, Xianyang 712100, China.

Maixia Hui (M)

Vegetables Engineering and Technology Research Center of Shaanxi Province, College of Horticulture, Northwest A & F University, Yangling, Xianyang 712100, China.

Classifications MeSH