Page 119 - 《水产学报》2025年第10期
P. 119

李森栋,等                                                                水产学报, 2025, 49(10): 109609


                                                                 20
                                                    CP vs. CC                                 NP vs. NC
                                                      down                                     down
                                                      normal                                   normal
                        15                            up                  zgc-122979           up
                                                                 15
                                              downregulated: 785                        downregulated: 255
                                                upregulated: 666                         upregulated: 124
                      −Log 10  FDR  10     npas4a               −Log 10  FDR  10



                                            casq2
                         5                 cacna1ab
                                                                  5
                                           grin1b                     CYTB
                                          wnk1b
                                            csf1a
                         0                                        0
                            −20    −10     0      10     20               0      10      20      30
                                        Log 2  FC                                Log 2  FC
                                          (a)                                      (b)
                          500                                        5
                                  up            down                         up           down
                          400
                                                        CC           4
                          300
                                                        CP
                          200                                        3
                         FPKM  100                                 mRNA relative expression
                           50
                           40                                        2
                           30
                           20                                        1
                           10
                            0                                        0
                           cacna1ab casq2  csf1a grin1b npas4a wnk1b  oxt foxg1a dlx6a nkx2.1  npvf  cacna1ab casq2 csf1a grin1b npas4a wnk1b  oxt foxg1a dlx6a nkx2.1  npvf


                                          (c)                                      (d)
                    Fig. 2 Differential expressed genes (DEGs) analysis and validation by qPCR in darkbarbel catfish brain
              The adult fish were fed with WS for 5 weeks and subjected to physical stimulus for 90 seconds. And then the 6 individuals of each group were sacrificed
              and the brain samples were collected for the RNA-seqs analysis. The groups of fish included the CC (no stress, no WS supplementation), the CP (subjec-
              ted to physical stimulus (injected with normal saline), no WS supplementation), the NP (subjected to physical stimulus (injected with normal saline), WS
              supplementation), the NC (no stress, WS supplementation). (a) CP vs. CC. (b) NP vs. NC. The selected DEGs (CP vs. CC) of RNA-seq dataset (c) valid-
              ated by qPCR (d). Different letters indicate the significant differences (P < 0.05), and the same letters for no significant difference.

              way, emphasizing its critical role in neuronal signal-  pounds in WS with significant therapeutic potential.
              ing  and  survival  under  stress,  and  other  metabolic  Applying  the  criteria  of  Drug  Likeness  (DL)  ≥
              pathways  such  as  glycine,  serine,  and  threonine  0.18 and Oral Bioavailability (OB) ≥ 30%, 13 bio-
              metabolism, folate  biosynthesis,  as  well  as   trypto-  logically active compounds were identified (Tab.1).
              phan and tyrosine metabolism (Fig. 3-c).
                                                               The “WS-ingredient-target” regulatory network was

              2.3    Active ingredients and potential targets of  constructed  using  Cytoscape  software  (Fig.  4-a).
              WS in fish brain                                 These compounds were further analyzed using vari-
                   Recent  advancements  in  phytochemistry  and  ous biological databases, yielding 379 potential tar-
              pharmacology facilitate  identifying  bioactive   com-  gets,  which  were  refined  by  excluding  duplicates.

              中国水产学会主办  sponsored by China Society of Fisheries                          https://www.china-fishery.cn
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