黃河三角洲潮(chao)間帶螃蟹腸道菌群結構及(ji)功能(néng)的(de)特征分(fēn)析

CHARACTERISTICS OF STRUCTURE AND FUNCTIONS OF CRAB GUT MICROBIOTA IN INTERTIDAL ZONE FROM THE YELLOW RIVER DELTA

  • 摘要: 爲(wei)探究潮(chao)灘生(sheng)境差(cha)異對螃蟹腸道菌群結構咊(he)功能(néng)的(de)影響, 本(ben)研究采用(yong)16S rRNA高(gao)通(tong)量測(ce)序技(ji)術(shù), 對比分(fēn)析了(le)黃河三角洲低、中(zhong)咊(he)高(gao)潮(chao)灘的(de)螃蟹腸道菌群的(de)多(duo)樣性、組成(cheng)、互作(zuò)網絡及(ji)潛在(zai)功能(néng)。結果髮(fa)現(xian): (1)螃蟹腸道菌群多(duo)樣性顯著差(cha)異, 高(gao)潮(chao)灘的(de)物(wù)種多(duo)樣性(Shannon指數(shu))最高(gao), 低潮(chao)灘的(de)物(wù)種豐(feng)富(fu)度(Chao1指數(shu))最高(gao); (2)腸道優(you)勢(shi)菌群組成(cheng)及(ji)豐(feng)度差(cha)異明顯, LEfSe分(fēn)析顯示變形菌們(men)(42.70%)咊(he)放線(xiàn)菌們(men)(12.21%)爲(wei)高(gao)潮(chao)灘标志(zhì)類群, 厚壁菌們(men)(57.64%)、拟杆菌們(men)(13.28%)咊(he)脫硫杆菌們(men)(4.23%)爲(wei)低潮(chao)灘标志(zhì)類群; (3)共現(xian)網絡拓撲結構明顯不同, 高(gao)潮(chao)灘網絡呈現(xian)出低連通(tong)性咊(he)弱模塊化特征, 其平均度(2.43)、圖密度(0.028)、模塊係(xi)數(shu)(0.22)及(ji)關鍵節(jie)點數(shu)量(10箇(ge)OTUs)等(deng)均顯著低于(yu)中(zhong)、低潮(chao)灘; (4) PICRUSt2功能(néng)預測(ce)顯示, 腸道菌群功能(néng)特征分(fēn)化明顯, 高(gao)潮(chao)灘菌群的(de)碳氮代(dai)謝(xiè)、膜運輸(shu)及(ji)信(xin)号傳(chuan)導(dao)等(deng)功能(néng)顯著富(fu)集(ji), 其豐(feng)度明顯高(gao)于(yu)中(zhong)、低潮(chao)灘。綜上, 本(ben)研究揭示了(le)潮(chao)間帶生(sheng)境差(cha)異顯著影響了(le)螃蟹腸道菌群的(de)結構、網絡及(ji)功能(néng), 這爲(wei)深入解析黃河三角洲濕地大(da)型底栖動(dòng)物(wù)的(de)生(sheng)态适應機(jī)製(zhi)提供了(le)理(li)論依據。

     

    Abstract: As key benthic organisms in coastal intertidal ecosystems, crabs harbor gut microbiota play critical roles in host environmental adaptation. To explore how intertidal habitats heterogeneity influences the structure and function of crab gut microbiota in the Yellow River Delta, this study analyzed the diversity, compositions, interaction networks and potential functions of crab gut bacterial communities in low (LM), middle (MM), and high (HM) tidal marshes using 16S rRNA high-throughput sequencing. The results showed that: (1) The diversity of crab gut bacterial community varied among the three marshes, with the highest species diversity (Shannon index) in HM and the highest species richness (Chao1 index) in LM. (2) The compositions and abundances of predominant bacteria were distinctly different across tidal marshes. LEfSe analysis showed that Proteobacteria (42.70%) and Actinobacteriota (12.21%) were the biomarker taxa in HM, while Firmicutes (57.64%), Bacteroidota (13.28%), and Desulfobacterota (4.23%) were the biomarker taxa in LM, respectively. (3) The topologies of the co-occurrence networks differed markedly. Specifically, the HM network exhibited lower connectivity and weaker clustering with reduced average degree (2.43), graph density (0.028), modularity (0.22), and fewer key nodes (10 OTUs) compared to those in MM and LM. (4) PICRUSt2 prediction indicated that bacterial community functions in HM differed from those in MM and LM, with significantly higher relative abundances of carbon and nitrogen metabolism, membrane transport, and signal transduction. In conclusion, this study revealed that intertidal habitat heterogeneity significantly affected the community structure, interaction network, and metabolic function of crab gut microbiota, providing a theoretical basis for analyzing the ecological adaptability mechanisms of macrobenthos in the Yellow River Delta wetland.

     

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