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3rd Global Summit on Plant Science

Rome, Italy

Wuwei Ye

Wuwei Ye

Chinese Academy of Agricultural Sciences, China

Title: Germplasm identification and salinity- -tolerant gene isolation on G. hirsutum L.

Biography

Biography: Wuwei Ye

Abstract

Soil salinization has become a serious global problem affecting the agricultural development and the ecological environment. Salinity,as one of the most important abiotic stresses in the world, severely limits the production of crop. Saline-alkali land in our country is widely distributed with the character of multi types and serious salt-deposition. In order to carry out the utilization of saline-alkali land efficiently, it is necessary to develop the agriculture on the saline-alkali land. Cotton, as a pioneer crop in saline-alkali land, should be paid more efforts to conduct the mechanism research of salt-tolerance and to breed new tolerant varieties. Identification of salinity-tolerance plays a vital role on cotton breeding. The abiotic-tolerant identification methods used before, mainly based on morphological characters, were usually restricted for time-wasting and labor-costing, environment influence, and seasonal restrictions. A new set of preliminary methods system, called SSR multi-markers salinity-identification method, was initially established to identify salinity tolerance of cotton by the standardization of the whole process of seedling nursing, DNA extraction, PCR amplification, amplification products detecting, and marker-combination. Another 11 materials were used to testify this method, which showed the coincidence of 90.91% in consistence with the identification result of 0.4%NaCl identification method. This study showed that the multi-markers identification method was proved to be used to assist identify the salinity tolerance of cotton germplasm. Seven salt-tolerance related genes, H+-pyrophosphatase gene and S-adenosylmethionine synthetase gene and others, were cloned from the salt-tolerance material on Gossypium hirsutum, which were named GhVP and GhSAMS, respectively. The bioinformatics analysis and their transformed accessions were tested and identified