Chinese Agricultural Science Bulletin ›› 2021, Vol. 37 ›› Issue (20): 66-70.doi: 10.11924/j.issn.1000-6850.casb2020-0528
Special Issue: 资源与环境
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Fan Na(), Peng Zhidong, Bai Wenbin(
)
Received:
2020-10-04
Revised:
2020-12-26
Online:
2021-07-15
Published:
2021-08-06
Contact:
Bai Wenbin
E-mail:glszps@163.com;Baiwenbin1983@126.com
CLC Number:
Fan Na, Peng Zhidong, Bai Wenbin. Analysis of Soil Bacterial Composition, Abundance and Diversity Based on High-throughput Sequencing[J]. Chinese Agricultural Science Bulletin, 2021, 37(20): 66-70.
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URL: https://www.casb.org.cn/EN/10.11924/j.issn.1000-6850.casb2020-0528
编号 | 枯萎数 | 生长速率/(cm/d) | 发芽率盐害系数/% | 各盐害系数平均值/% |
---|---|---|---|---|
622-2 | 4.85 | 0.88 | 3.56 | 5.13 |
1012 | 3.01 | 1.87 | 18.59 | 20.95 |
1090 | 2.58 | 1.89 | 37.50 | 31.80 |
473 | 0.75 | 2.51 | 7.23 | 6.97 |
342 | 0.82 | 2.49 | 3.30 | 4.10 |
68 | 4.21 | 1.25 | 42.89 | 46.42 |
1187 | 2.61 | 1.90 | 24.95 | 16.34 |
67 | 3.15 | 1.79 | 16.90 | 18.08 |
135 | 0.77 | 2.57 | 3.30 | 2.65 |
366 | 1.16 | 2.58 | 3.30 | 2.45 |
编号 | 枯萎数 | 生长速率/(cm/d) | 发芽率盐害系数/% | 各盐害系数平均值/% |
---|---|---|---|---|
622-2 | 4.85 | 0.88 | 3.56 | 5.13 |
1012 | 3.01 | 1.87 | 18.59 | 20.95 |
1090 | 2.58 | 1.89 | 37.50 | 31.80 |
473 | 0.75 | 2.51 | 7.23 | 6.97 |
342 | 0.82 | 2.49 | 3.30 | 4.10 |
68 | 4.21 | 1.25 | 42.89 | 46.42 |
1187 | 2.61 | 1.90 | 24.95 | 16.34 |
67 | 3.15 | 1.79 | 16.90 | 18.08 |
135 | 0.77 | 2.57 | 3.30 | 2.65 |
366 | 1.16 | 2.58 | 3.30 | 2.45 |
样本的分组信息 | 样本名 | 处理之前序列总数 | 非靶区域序列数目 | 嵌合体数目 | 处理后剩余序列 |
---|---|---|---|---|---|
ITS170910 | 473 | 59810 | 0 | 279 | 59531 |
ITS170910 | 1012 | 68218 | 0 | 143 | 68075 |
ITS170910 | 342 | 66735 | 0 | 80 | 66655 |
ITS170910 | 67 | 56037 | 0 | 744 | 55293 |
ITS170910 | 622 | 53724 | 0 | 208 | 53516 |
ITS170910 | 68 | 55283 | 0 | 347 | 54936 |
ITS170910 | 135 | 56419 | 0 | 239 | 56180 |
ITS170910 | 1090 | 75841 | 0 | 49 | 75792 |
ITS170910 | 1187 | 61543 | 0 | 146 | 61397 |
ITS170910 | 366 | 65934 | 0 | 99 | 65835 |
ITS170910 | 67 | 56037 | 0 | 744 | 55293 |
ITS170910 | 622 | 53724 | 0 | 208 | 53516 |
样本的分组信息 | 样本名 | 处理之前序列总数 | 非靶区域序列数目 | 嵌合体数目 | 处理后剩余序列 |
---|---|---|---|---|---|
ITS170910 | 473 | 59810 | 0 | 279 | 59531 |
ITS170910 | 1012 | 68218 | 0 | 143 | 68075 |
ITS170910 | 342 | 66735 | 0 | 80 | 66655 |
ITS170910 | 67 | 56037 | 0 | 744 | 55293 |
ITS170910 | 622 | 53724 | 0 | 208 | 53516 |
ITS170910 | 68 | 55283 | 0 | 347 | 54936 |
ITS170910 | 135 | 56419 | 0 | 239 | 56180 |
ITS170910 | 1090 | 75841 | 0 | 49 | 75792 |
ITS170910 | 1187 | 61543 | 0 | 146 | 61397 |
ITS170910 | 366 | 65934 | 0 | 99 | 65835 |
ITS170910 | 67 | 56037 | 0 | 744 | 55293 |
ITS170910 | 622 | 53724 | 0 | 208 | 53516 |
样本名称 | Shannon index Alpha指数的数值 | ACE Index指数 | Chao1 Index指数 | Coverage指数 | Simpson指数 |
---|---|---|---|---|---|
1012 | 3.08 | 795.60 | 789.81 | 1.00 | 0.28 |
1090 | 2.64 | 790.67 | 767.91 | 1.00 | 0.25 |
1187 | 2.88 | 777.94 | 640.47 | 1.00 | 0.12 |
135 | 4.17 | 750.32 | 734 | 1.00 | 0.04 |
342 | 4.69 | 1085.05 | 1038.98 | 1.00 | 0.03 |
366 | 4.08 | 770.28 | 752.53 | 1.00 | 0.05 |
473 | 4.35 | 1002.81 | 953.5 | 1.00 | 0.03 |
622 | 2.84 | 615.05 | 626.81 | 1.00 | 0.29 |
67 | 4.44 | 676.61 | 648.81 | 1.00 | 0.03 |
68 | 1.85 | 637.82 | 625.39 | 1.00 | 0.32 |
样本名称 | Shannon index Alpha指数的数值 | ACE Index指数 | Chao1 Index指数 | Coverage指数 | Simpson指数 |
---|---|---|---|---|---|
1012 | 3.08 | 795.60 | 789.81 | 1.00 | 0.28 |
1090 | 2.64 | 790.67 | 767.91 | 1.00 | 0.25 |
1187 | 2.88 | 777.94 | 640.47 | 1.00 | 0.12 |
135 | 4.17 | 750.32 | 734 | 1.00 | 0.04 |
342 | 4.69 | 1085.05 | 1038.98 | 1.00 | 0.03 |
366 | 4.08 | 770.28 | 752.53 | 1.00 | 0.05 |
473 | 4.35 | 1002.81 | 953.5 | 1.00 | 0.03 |
622 | 2.84 | 615.05 | 626.81 | 1.00 | 0.29 |
67 | 4.44 | 676.61 | 648.81 | 1.00 | 0.03 |
68 | 1.85 | 637.82 | 625.39 | 1.00 | 0.32 |
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