Biochimie · 2026
Sulfoquinovosyldiacylglycerol (SQDG) in chloroplast-poor tissues: What can lipidomics tell us?
СтатьяОбзорНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Potijun Supakorn, Sirikantaramas Supaart, Schaller Hubert
Аннотация
Sulfoquinovosyldiacylglycerol (SQDG) is an anionic sulfolipid of plastid membranes, classically associated with chloroplasts and thylakoids. Its detection by lipidomics in chloroplast-poor tissues raises a central problem: how can a reported SQDG signal be validated, and what evidence is required to determine its plastid context and biological meaning? In this critical narrative review, we reassess evidence beyond chloroplast-dominated tissues and evaluate both the strength of evidence for SQDG occurrence or function and the steps required to test lipidomics-derived hypotheses. The literature supports context-dependent rather than universal interpretations. Direct organelle-level lipid evidence from isolated non-green plastids remains limited; etioplast genetics supports an SQDG-related role in non-photosynthetic plastid membrane development; phosphate-deprived roots support phosphorus-economy remodeling; and sulfur-starvation studies establish regulated SQDG turnover and sulfur remobilization. By contrast, chromoplast and woody-tissue interpretations remain unresolved. These findings show that SQDG abundance alone is hypothesis-generating rather than diagnostic of function. We therefore propose a decision-tree framework that moves from chemical confirmation of the lipid signal to spatial localization, SQD1/SQD2-associated biosynthetic capacity, nutrient context, tissue-specific perturbation, and phenotype testing. This framework provides criteria for moving from lipidomic detection to supported biological interpretation in chloroplast-poor tissues.