کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4997607 1459914 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of the autotrophic denitrifying community in nitrate removal reactors by DNA-stable isotope probing
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
Identification of the autotrophic denitrifying community in nitrate removal reactors by DNA-stable isotope probing
چکیده انگلیسی


- First study on identification of autotrophic denitrifying communities by DNA-SIP.
- High efficient NO3−-N, TN removals from organic-free influent based on CEAD process.
- Strongly labeled nirS gene indicating H13CO3− assimilated by autotrophic denitrifiers.
- Thiobacillus was the most dominant autotrophic denitrifiers though sulfur was absent.

Autotrophic denitrification has attracted increasing attention for wastewater with insufficient organic carbon sources. Nevertheless, in situ identification of autotrophic denitrifying communities in reactors remains challenging. Here, a process combining micro-electrolysis and autotrophic denitrification with high nitrate removal efficiency was presented. Two batch reactors were fed organic-free nitrate influent, with H13CO3− and H12CO3− as inorganic carbon sources. DNA-based stable-isotope probing (DNA-SIP) was used to obtain molecular evidence for autotrophic denitrifying communities. The results showed that the nirS gene was strongly labeled by H13CO3−, demonstrating that the inorganic carbon source was assimilated by autotrophic denitrifiers. High-throughput sequencing and clone library analysis identified Thiobacillus-like bacteria as the most dominant autotrophic denitrifiers. However, 88% of nirS genes cloned from the 13C-labeled “heavy” DNA fraction showed low similarity with all culturable denitrifiers. These findings provided functional and taxonomical identification of autotrophic denitrifying communities, facilitating application of autotrophic denitrification process for wastewater treatment.

228

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bioresource Technology - Volume 229, April 2017, Pages 134-142
نویسندگان
, , , , , ,