کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7768374 | 1500409 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Preliminary comparison of quantification efficiency between DNA-derived dataset and cell-derived dataset of mixed diatom sample based on rDNA-ITS sequence analysis
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آلی
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چکیده انگلیسی
Quantification of eukaryotes, such as diatom within a water community is extremely difficult due to the different copy number of the measured gene. ITS sequence was considered to be useful in defining intra-specific or population-level differences for their fast evolving. To assess the possibility of exploring rDNA-ITS region in quantification analysis of environment samples, the fragment of 5.8SÂ +Â ITS-2 was amplified from extracted DNA and sedimental cell samples derived from the same natural-simulated water community, respectively. Two clone libraries were built from the above DNA-derived (DD) and cell-derived (CD) amplifications. The operational taxonomic units (OTUs) of the libraries were calculated. In most cases, number of OTUs for CD dataset was smaller than DD dataset. For the DD and CD datasets, 112 sequences yielded 6 OTUs-96 and 4 OTUs-97 and were assigned to six and four species, respectively. Intraspecific variations existed in these cultivations. The sequences percentage in datasets did not match with the cell portions in mixed sample, which revealed that 5.8SÂ +Â ITS-2 copies varied between different diatom species, and it was not suitable for quantitative analysis of diatom community structures in mixed sample. More researches are necessary to seek for proper gene to quantify diatoms in the environmental samples.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biochemical Systematics and Ecology - Volume 57, December 2014, Pages 183-190
Journal: Biochemical Systematics and Ecology - Volume 57, December 2014, Pages 183-190
نویسندگان
Liliang Guo, Zhenghong Sui, Shu Zhang, Yuan Liu, Qingwei Du,