Comparison of Microbial Total DNA Extraction Methods from Saline-alkali Soils in Hexi Corridor
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Due to soil microbial community structure and diversity and their change to a certain extent reflect the quality of the soil,the saline soil microbial diversity and population structure have certain application value for saline soil improvement. Saline soil is a special kind of soil type,may be a lot of salt resistance,alkali resistance and halophilic extremophiles groups,and has great development and utilization value,can build saline soil microbial macro gene pool,and screen out useful genetic resources used by mankind. To establish a method of total DNA extraction for investigation of the microbial population structure and diversity at saline-alkali soil in Hexi corridor,four kinds of methods that are M1( Omega kit method),M2( Mo Bio kit method),M3( modified high-salt method) and M4( Calcium chloride-SDS-Enzymatic) were used. The results showed that: 23. 1 kb DNA fragments were obtained by the methods,and no DNA degradation. But the DNA extraction results were very different between the 4 methods,M1 and M2 shows no clear bands but high pure DNA; M3 and M4 obtain higher DNA amount than M1 and M2,however,the DNA obtained by M3 has more impurities which affects the accuracy of subsequently analysis. The DNA purity by M4 are more approximate to the kit method,the amount of DNA extraction reached 452. 875 μg·g-1,much higher than the other 3 kinds of methods,more suitable for the subsequent experiments. The results indicated that M4 is suitable for total DNA extraction to study microbial abundance and diversity from saline-alkali soil in Hexi Corridor.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it