Obligate Symbionts
Obligate Symbionts - Related Videos
20:01
Single-plant, Sterile Microcosms for Nodulation and Growth of the Legume Plant Medicago truncatula with the Rhizobial Symbiont Sinorhizobium meliloti
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Cited by 9 •
2013
Growth of Medicago truncatula plants in symbiosis with the nitrogen-fixing bacteria Sinorhizobium meliloti in individual, sterile microcosms made from standard laboratory plates permits frequent examination of root systems and nodules without compromising sterility. Plants can be maintained in these growth chambers for up to 9 weeks.
09:55
Transposon-insertion Sequencing as a Tool to Elucidate Bacterial Colonization Factors in a Burkholderia gladioli Symbiont of Lagria villosa Beetles
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Cited by 2 •
2021
This is an adapted method for identifying candidate insect colonization factors in a Burkholderia beneficial symbiont. The beetle host is infected with a random mutant library generated via transposon mutagenesis, and library complexity after colonization is compared to a control grown in vitro.
07:28
Methods for the Extraction of Endosymbionts from the Whitefly Bemisia tabaci
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Cited by 4 •
2017
Here, we present a protocol to isolate endosymbionts from the whitefly Bemisia tabaci through dissection and filtration. After amplification, the DNA samples are suitable for subsequent sequencing and study of the mutualism between endosymbionts and whitefly.
06:08
Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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2025
This study aims to analyze how people reason with and about normative rules, deontic reasoning, and the importance of world knowledge in subjects´ inferences. For this purpose, one of the main experimental paradigms in reasoning research was used: Wason´s selection task.
01:12
Hindsight Biases
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2020
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? This text is adapted from OpenStax, Psychology. OpenStax CNX.
FAQs
Metabolic integration allows partners to divide essential biochemical functions. One organism may supply nutrients or cellular activities that the other cannot produce independently, making exchange central to survival, growth, or reproduction. This dependence can also drive the evolution of specialized interfaces and regulatory interactions that maintain the partnership over time.
Specialized structures create controlled sites for exchange between partners, while signaling systems help coordinate their activities. Together, they support reliable communication and resource transfer rather than incidental contact. Their presence indicates that the relationship has become biologically integrated, linking cellular organization with the stability and performance of the symbiosis.
Obligate symbioses may be mutualistic, parasitic, or context-dependent, depending on how the interaction affects each partner. A relationship that provides essential resources in one setting may impose costs or produce different effects in another. Examining both partners and their conditions is therefore necessary when interpreting the outcome of a symbiosis.
Long-term dependence can link the evolutionary trajectories of host and symbiont. Changes in one partner may influence nutrient exchange, cellular functions, or signaling in the other, favoring corresponding adaptations. Studying these patterns helps explain how integrated partnerships arise and how they affect host physiology and ecosystem function.
Comparing intracellular bacteria, plant-associated fungi, and animal-associated microbes reveals how dependence is organized across biological systems. Researchers can examine which functions are exchanged, how partners maintain contact, and whether the interaction benefits or harms the host. These comparisons connect cellular mechanisms with broader questions about physiology and ecosystem roles.
Research on these partnerships informs microbiome studies, crop improvement, disease biology, and the development of targeted interventions. The same work can identify how microbes influence host function, how plant-associated relationships affect biological performance, or how disease-related interactions operate. These applications depend on understanding the specific exchange and dependence linking each partner.