PDF(Pubmed)
Abstract：
BACKGROUND: Coastal areas are subject to various anthropogenic and natural influences. In this study, we investigated and compared the characteristics of two coastal regions, Andhra Pradesh (AP) and Goa (GA), focusing on pollution, anthropogenic activities, and recreational impacts. We explored three main factors influencing the differences between these coastlines: The Bay of Bengal\'s shallower depth and lower salinity; upwelling phenomena due to the thermocline in the Arabian Sea; and high tides that can cause strong currents that transport pollutants and debris.
RESULTS: The microbial diversity in GA was significantly higher than that in AP, which might be attributed to differences in temperature, soil type, and vegetation cover. 16S rRNA amplicon sequencing and bioinformatics analysis indicated the presence of diverse microbial phyla, including candidate phyla radiation (CPR). Statistical analysis, random forest regression, and supervised machine learning models classification confirm the diversity of the microbiome accurately. Furthermore, we have identified 450 cultures of heterotrophic, biotechnologically important bacteria. Some strains were identified as novel taxa based on 16S rRNA gene sequencing, showing promising potential for further study.
CONCLUSIONS: Thus, our study provides valuable insights into the microbial diversity and pollution levels of coastal areas in AP and GA. These findings contribute to a better understanding of the impact of anthropogenic activities and climate variations on biology of coastal ecosystems and biodiversity.
RESULTS: The microbial diversity in GA was significantly higher than that in AP, which might be attributed to differences in temperature, soil type, and vegetation cover. 16S rRNA amplicon sequencing and bioinformatics analysis indicated the presence of diverse microbial phyla, including candidate phyla radiation (CPR). Statistical analysis, random forest regression, and supervised machine learning models classification confirm the diversity of the microbiome accurately. Furthermore, we have identified 450 cultures of heterotrophic, biotechnologically important bacteria. Some strains were identified as novel taxa based on 16S rRNA gene sequencing, showing promising potential for further study.
CONCLUSIONS: Thus, our study provides valuable insights into the microbial diversity and pollution levels of coastal areas in AP and GA. These findings contribute to a better understanding of the impact of anthropogenic activities and climate variations on biology of coastal ecosystems and biodiversity.
摘要：
背景：沿海地区受到各种人为和自然影响。在这项研究中,我们调查并比较了两个沿海地区的特点，安得拉邦（AP）和果阿（GA），关注污染，人为活动，和娱乐影响。我们探讨了影响这些海岸线之间差异的三个主要因素：孟加拉湾较浅的深度和较低的盐度；由于阿拉伯海的温跃层引起的上升流现象；以及可能导致运输污染物和碎片的强流的涨潮。
结果：GA的微生物多样性明显高于AP，这可能归因于温度的差异，土壤类型,和植被覆盖。16SrRNA扩增子测序和生物信息学分析表明存在多种微生物门，包括候选门放射（CPR）。统计分析,随机森林回归，和有监督的机器学习模型分类准确地确认了微生物组的多样性。此外，我们已经确定了450种异养培养物，生物技术上重要的细菌。基于16SrRNA基因测序鉴定了一些菌株为新的分类群，显示出进一步研究的潜力。
结论：因此，我们的研究为AP和GA沿海地区的微生物多样性和污染水平提供了有价值的见解。这些发现有助于更好地了解人为活动和气候变化对沿海生态系统生物学和生物多样性的影响。
结果：GA的微生物多样性明显高于AP，这可能归因于温度的差异，土壤类型,和植被覆盖。16SrRNA扩增子测序和生物信息学分析表明存在多种微生物门，包括候选门放射（CPR）。统计分析,随机森林回归，和有监督的机器学习模型分类准确地确认了微生物组的多样性。此外，我们已经确定了450种异养培养物，生物技术上重要的细菌。基于16SrRNA基因测序鉴定了一些菌株为新的分类群，显示出进一步研究的潜力。
结论：因此，我们的研究为AP和GA沿海地区的微生物多样性和污染水平提供了有价值的见解。这些发现有助于更好地了解人为活动和气候变化对沿海生态系统生物学和生物多样性的影响。
