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2019 ◽  
Vol 20 (23) ◽  
pp. 5929
Author(s):  
Lin ◽  
Cai ◽  
Du ◽  
Zhang ◽  
Xu ◽  
...  

: Tea (Camellia sinensis) is enriched with bioactive secondary metabolites, and is one of the most popular nonalcoholic beverages globally. Two tea reference genomes have been reported; however, the functional analysis of tea genes has lagged, mainly due to tea’s recalcitrance to genetic transformation and the absence of alternative high throughput heterologous expression systems. A full-length cDNA collection with a streamlined cloning system is needed in this economically important woody crop species. RNAs were isolated from nine different vegetative tea tissues, pooled, then used to construct a normalized full-length cDNA library. The titer of unamplified and amplified cDNA library was 6.89 × 106 and 1.8 × 1010 cfu/mL, respectively; the library recombinant rate was 87.2%. Preliminary characterization demonstrated that this collection can complement existing tea reference genomes and facilitate rare gene discovery. In addition, to streamline tea cDNA cloning and functional analysis, a binary vector (pBIG2113SF) was reengineered, seven tea cDNAs isolated from this library were successfully cloned into this vector, then transformed into Arabidopsis. One FL-cDNA, which encodes a putative P1B-type ATPase 5 (CsHMA5), was characterized further as a proof of concept. We demonstrated that overexpression of CsHMA5 in Arabidopsis resulted in copper hyposensitivity. Thus, our data demonstrated that this represents an efficient system for rare gene discovery and functional characterization of tea genes. The integration of a tea FL-cDNA collection with efficient cloning and a heterologous expression system would facilitate functional annotation and characterization of tea genes.


2008 ◽  
Vol 06 (04) ◽  
pp. 759-773 ◽  
Author(s):  
ALEXANDER Y. PANCHIN ◽  
SERGEY A. SPIRIN ◽  
SERGEY A. LUKYANOV ◽  
YURI B. LEBEDEV ◽  
YURI V. PANCHIN

Expressed sequence tags (ESTs) represent 500–1000-bp-long sequences corresponding to mRNAs derived from different sources (cell lines, tissues, etc.). The human EST database contains over 8,000,000 sequences, with over 4,000,000,000 total nucleotides. RNA molecules are transcribed from a genomic DNA template; therefore, all ESTs should match corresponding genomes. Nevertheless, we have found in the human EST database approximately 11,000 ESTs not matching sequences in the human genome database. The presence of "trash" ESTs (TESTs) in the EST database could result from DNA or RNA contamination of the laboratory equipment, tissues, or cell lines. TESTs could also represent sequences from unidentified human genes or from species inhabiting the human body. Here, we attempt to identify the sources of human EST database contaminations. In particular, we discuss systematic contamination of the mammalian EST databases with sequences of plants.


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