Linker composition and application thereof

Abstract

The present invention provides a linker composition. The linker composition comprises a first linker and a second linker, wherein a 3' end sequence of the first linker and a 5' end sequence of the second linker form restriction enzyme recognition sites during self-ligation of the first linker and the second linker. The linker composition according to embodiments can be specifically cleaved and degraded by restriction enzymes during the self-ligation. Therefore, when the linker composition is applied to library construction, the self-ligated linker cannot enter downstream experiments under a function of the restriction enzymes. The linker composition effectively improves utilization of sequencing data.

Description

technical field [0001] The present invention relates to the field of biotechnology, specifically, the present invention relates to linker compositions and applications thereof, more specifically, the present invention relates to linker compositions, methods for constructing sequencing libraries, nucleic acid molecules, sequencing libraries, sequencing methods and determining RNA sequence information Methods. Background technique [0002] Small RNA (Small RNA) is an important class of functional molecules in organisms. Through various sequence-specific gene silencing effects, it regulates cellular physiological processes such as cell growth and development, stress response, and silencing of transposons. [0003] Small RNA sequencing is a high-throughput sequencing of 18-30nt small RNA of a certain species and a tissue in a specific state with the help of a new generation of high-throughput sequencing technology. Then, through database comparison, the obtained small RNA seque...

AI Technical Summary

Problems solved by technology

However, during the adapter ligation process of the Small RNA library construction process, a large number of adapter dimers will be generated.

The generation of adapter self-ligation will greatly waste sequencing data, and may even lead to a bias in the amplification efficiency of downstream steps, affecting the accuracy of sequencing and analysis results

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