Minoia Silvia, Petrozza Angelo, D'Onofrio Olimpia, Piron Florence, Mosca Giuseppina, Sozio Giovanni, Cellini Francesco, Bendahmane Abdelhafid, Carriero Filomena
Metapontum Agrobios, SS Jonica 106 Km 448,2, 75010 Metaponto (MT), Italy.
BMC Res Notes. 2010 Mar 12;3:69. doi: 10.1186/1756-0500-3-69.
In the last decade, the availability of gene sequences of many plant species, including tomato, has encouraged the development of strategies that do not rely on genetic transformation techniques (GMOs) for imparting desired traits in crops. One of these new emerging technology is TILLING (Targeting Induced Local Lesions In Genomes), a reverse genetics tool, which is proving to be very valuable in creating new traits in different crop species.
To apply TILLING to tomato, a new mutant collection was generated in the genetic background of the processing tomato cultivar Red Setter by treating seeds with two different ethylemethane sulfonate doses (0.7% and 1%). An associated phenotype database, LycoTILL, was developed and a TILLING platform was also established. The interactive and evolving database is available online to the community for phenotypic alteration inquiries. To validate the Red Setter TILLING platform, induced point mutations were searched in 7 tomato genes with the mismatch-specific ENDO1 nuclease. In total 9.5 kb of tomato genome were screened and 66 nucleotide substitutions were identified. The overall mutation density was estimated and it resulted to be 1/322 kb and 1/574 kb for the 1% EMS and 0.7% EMS treatment respectively.
The mutation density estimated in our collection and its comparison with other TILLING populations demonstrate that the Red Setter genetic resource is suitable for use in high-throughput mutation discovery. The Red Setter TILLING platform is open to the research community and is publicly available via web for requesting mutation screening services.
在过去十年中,包括番茄在内的许多植物物种的基因序列得以获取,这推动了一些不依赖基因转化技术(转基因生物)来赋予作物所需性状的策略的发展。这些新兴技术之一是TILLING(靶向诱导基因组局部损伤),这是一种反向遗传学工具,已被证明在创造不同作物物种的新性状方面非常有价值。
为了将TILLING应用于番茄,通过用两种不同剂量的甲基磺酸乙酯(0.7%和1%)处理种子,在加工番茄品种“红 setter”的遗传背景中创建了一个新的突变体库。开发了一个相关的表型数据库LycoTILL,并建立了一个TILLING平台。这个交互式且不断发展的数据库可供社区在线查询表型变化。为了验证“红 setter”TILLING平台,使用错配特异性内切酶ENDO1在7个番茄基因中搜索诱导点突变。总共筛选了9.5 kb的番茄基因组,鉴定出66个核苷酸替换。估计了总体突变密度,1% EMS处理和0.7% EMS处理的突变密度分别为1/322 kb和1/574 kb。
我们的突变体库中估计的突变密度及其与其他TILLING群体的比较表明,“红 setter”遗传资源适用于高通量突变发现。“红 setter”TILLING平台向研究社区开放,可通过网络公开获取以请求突变筛选服务。