SMART – Sunflower Mutant population And Reverse genetic Tool for crop improvement

BMC Plant Biology

Research Article

Seema Parikh¹  Nirali Desai¹  Anish PK Kumar¹  Anjanabha Bhattacharya¹  Manash Chatterjee²  Andres Zambelli³  Alberto Leon³  Adnane Boualem⁴  Abdelhafid Bendahmane⁴ 

[1] Bench Bio Pvt Ltd., c/o Jai Research Foundation, 396195, Vapi, Gujarat, India;Bench Bio Pvt Ltd., c/o Jai Research Foundation, 396195, Vapi, Gujarat, India;National University of Ireland Galway (NUIG), Galway, Ireland;Biotechnology Research Centre, Nutrisun Business Unit- Advanta Semillas SAIC, Belcarce, Argentina;INRA, UMR1165 Unité de Recherche en Génomique Végétale URGV, F-91057, Evry, France;UEVE, UMR Unité de Recherche en Génomique Végétale URGV, F-91057, Evry, France;CNRS, ERL8196 UMR Unité de Recherche en Génomique Végétale URGV, F-91057, Evry, France;

关键词: Sunflower;    TILLING;    Functional genomics;    Oil quality;    Fatty acids;    Crop improvement;   

DOI  :  10.1186/1471-2229-13-38

 received in 2012-05-30, accepted in 2013-02-13,  发布年份 2013

来源: Springer

【 摘 要 】

BackgroundSunflower (Helianthus annuus L.) is an important oilseed crop grown widely in various areas of the world. Classical genetic studies have been extensively undertaken for the improvement of this particular oilseed crop. Pertaining to this endeavor, we developed a “chemically induced mutated genetic resource for detecting SNP by TILLING” in sunflower to create new traits.ResultsTo optimize the EMS mutagenesis, we first conducted a “kill curve” analysis with a range of EMS dose from 0.5% to 3%. Based on the observed germination rate, a 50% survival rate i.e. LD50, treatment with 0.6% EMS for 8 hours was chosen to generate 5,000 M2 populations, out of which, 4,763 M3 plants with fertile seed set. Phenotypic characterization of the 5,000 M2 mutagenised lines were undertaken to assess the mutagenesis quality and to identify traits of interest. In the M2 population, about 1.1% of the plants showed phenotypic variations. The sunflower TILLING platform was setup using Endo-1-nuclease as mismatch detection system coupled with an eight fold DNA pooling strategy. As proof-of-concept, we screened the M2 population for induced mutations in two genes related to fatty acid biosynthesis, FatA an acyl-ACP thioesterase and SAD the stearoyl-ACP desaturase and identified a total of 26 mutations.ConclusionBased on the TILLING of FatA and SAD genes, we calculated the overall mutation rate to one mutation every 480 kb, similar to other report for this crop so far. As sunflower is a plant model for seed oil biosynthesis, we anticipate that the developed genetic resource will be a useful tool to identify novel traits for sunflower crop improvement.

【 授权许可】

Unknown   
© Kumar et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.