A Gram-negative, coccoid-shaped bacterium, strain CC-CCM15-8(T), was isolated from a rhizosphere soil sample of the plant Crossostephium chinense (L.) Makino (Seremban) from Budai Township, Chiayi County, Taiwan. 16S rRNA gene sequence analysis clearly allocated strain CC-CCM15-8(T) to the Paracoccus cluster, showing highest similarities to the type strains of 'Paracoccus beibuensis' (98.8%), Paracoccus homiensis (97.6%), Paracoccus aestuarii (97.7%) and Paracoccus zeaxanthinifaciens (97.7%). The fatty acid profile, comprising C(18:1)ω7c as the major component and C(10:0) 3-OH as the characteristic hydroxylated fatty acid, supported the placement of strain CC-CCM15-8(T) within the genus Paracoccus. The polyamine pattern consisted of putrescine and spermidine as major components. Ubiqinone Q-10 was the major quinone type (95%); ubiquinone Q-9 was also detected (5%). The complex polar lipid profile consisted of diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, phosphatidylcholine, and unidentified phospholipids, lipids and glycolipids. Levels of DNA-DNA relatedness between strain CC-CCM15-8(T) and 'P. beibuensis' LMG 25871(T), P. aestuarii DSM 19484(T), P. zeaxanthinifaciens LMG 21993(T) and P. homiensis KACC 11518(T) were 24.9% (34.8%, reciprocal analysis), 15.7% (17.5%), 17.7% (23.4%) and 16.0% (25.4%), respectively. Physiological and biochemical test results allowed the phenotypic differentiation of strain CC-CCM15-8(T) from its closest relatives in the genus Paracoccus. Based on the data presented, it is concluded that strain CC-CCM15-8(T) represents a novel species of the genus Paracoccus, for which the name Paracoccus rhizosphaerae sp. nov. is proposed. The type strain is CC-CCM15-8(T) (=LMG 26205(T)=CCM 7904(T)).
Social inequalities are an important contributor to the global burden of disease within and between countries. Using digital technology in health promotion and healthcare is seen by some as a potential lever to reduce these inequalities; however, research suggests that digital technology risks re-enacting or evening widening disparities. Most research on this digital health divide focuses on a small number of social inequality indicators and stems from Western, educated, industrialized, rich, and democratic (WEIRD) countries. There is a need for systematic, international, and interdisciplinary contextualized research on the impact of social inequality indicators in digital health as well as the underlying mechanisms of this digital divide across the globe to reduce health disparities. In June 2023, eighteen multi-disciplinary researchers representing thirteen countries from six continents came together to discuss current issues in the field of digital health promotion and healthcare contributing to the digital divide. Ways that current practices in research contribute to the digital health divide were explored, including intervention development, testing, and implementation. Based on the dialogue, we provide suggestions for overcoming barriers and improving practices across disciplines, countries, and sectors. The research community must actively advocate for system-level changes regarding policy and research to reduce the digital divide and so improve digital health for all.