Table 1.
Sampling depth and biodiversity analysis of 16S rRNA sequences from barcoded pyrosequencing of the black tiger shrimp intestines from different growth stages.
Figure 1.
Frequency distribution of phylogenetic groups in intestines of different growth stages of the black tiger shrimp: 15-day-old post-larva (PL15) and 1-, 2- and 3-month-old juveniles (J1, J2 and J3, respectively).
(A) Percent distribution of bacterial phylum by pyrosequencing analysis and (B) relative abundance of the six bacterial phylogenetic groups estimated by real-time PCR.
Figure 2.
Frequency distribution of selected genera with high abundance in Gammaproteobacteria from pyrosequencing analysis.
PL15 denotes 15-day-old post-larva (PL15) whereas J1, J2 and J3 denote 1-, 2- and 3-month-old juveniles, respectively.
Figure 3.
Comparison of the bacterial compositions in shrimp intestines of four growth stages: 15-day-old post-larva (PL15) and 1-, 2- and 3-month-old juveniles (J1, J2 and J3, respectively).
Pie charts of the hierarchical tree reflect relative abundance for each genus from each library (red represents PL15, blue represents J1, green represents J2 and yellow represents J3).
Figure 4.
Top five most abundant bacterial genera in shrimp intestines of four growth stages: A) 15-day-old post-larva (PL15), B) 1-month-old juveniles (J1), C) 2-month-old juveniles (J2) and D) 3-month-old juveniles (J3).
Figure 5.
PCR-DGGE analysis of the predominant bacterial population in intestines of black tiger shrimp from different growth stages: 15-day-old post-larva (PL15), 1-, 2- and 3-month-old juveniles (J1, J2 and J3, respectively) and S is in-house standard marker.
(A)Dendogram analysis of DGGE profile and (B) bacterial profiles and species similarity of selected DGGE bands.
Figure 6.
Principal component analysis of bacterial populations in intestines of different growth stages of the black tiger shrimp: 15-day-old post-larva (PL15) and 1-, 2- and 3-month-old juveniles (J1, J2 and J3, respectively).
The principal component analysis (PCA) was performed using R script to compare bacterial community structures among the samples based on relative abundance of various bacteria genera.