Diplacus aurantiacus contains large amounts of a leaf phenolic resin, an important deterrent to a leaf-eating caterpillar, Euphydryas chalcedona. The resin can also retard water loss during drought. Furthermore, the leaf resin content differs among plants and populations. This study investigates the existence of heritable variation (h ) in resin production and tests for a genetic correlation (r ) between carbon allocation to secondary metabolites and growth rate, as well as with three other vegetative traits. Nine dam and 10 sire plants were chosen randomly at a field site and used to generate 78 full-sib families (19 half-sib families) by crossing all males to all females in a factorial design. Heritability was estimated in two ways, and genetic correlations were estimated by three methods. We found: (1) the heritability of resin production estimated by the regression of offspring on sires was significantly greater than zero (hs2=0.32, P<0.01); (2) the maternal variance in resin content was significantly greater than zero (21.3% of total phenotypic variance); (3) significant negative genetic correlation between resin content and growth rate was observed from two of three methods and was consistent with the phenotypic correlation; and (4) the cost of resin could be assessed quantitatively. The genetic cost of 1 mg in resin is equivalent to 25 mg of dry shoot-biomass growth, but the phenotypic cost is only 2.1 mg. This study indicates that carbon allocation to these secondary metabolites may respond to natural selection, and the phenotypic cost of resin production has a genetic basis in D. aurantiacus. This trade-off suggests that once selection occurs, increased phenolic resin production may result in decreased growth, or vice versa.
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http://dx.doi.org/10.1111/j.1558-5646.1994.tb02195.x | DOI Listing |
Physiol Plant
January 2025
Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA.
The leaf economics spectrum (LES) characterizes a tradeoff between building a leaf for durability versus for energy capture and gas exchange, with allocation to leaf dry mass per projected surface area (LMA) being a key trait underlying this tradeoff. However, regardless of the biomass supporting the leaf, high rates of gas exchange are typically accomplished by small, densely packed stomata on the leaf surface, which is enabled by smaller genome sizes. Here, we investigate how variation in genome size-cell size allometry interacts with variation in biomass allocation (i.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pathology, Dokkyo Medical University School of Medicine and Graduate School of Medicine, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Although alveolar hyperoxia exacerbates lung injury, clinical studies have failed to demonstrate the beneficial effects of lowering the fraction of inspired oxygen (FO) in patients with acute respiratory distress syndrome (ARDS). Atelectasis, which is commonly observed in ARDS, not only leads to hypoxemia but also contributes to lung injury through hypoxia-induced alveolar tissue inflammation. Therefore, it is possible that excessively low FO may enhance hypoxia-induced inflammation in atelectasis, and raising FO to an appropriate level may be a reasonable strategy for its mitigation.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Economics and Management, China University of Geosciences Beijing, Beijing, 100083, China.
Achieving the national climate target would depend on national actions. China has implemented important market mechanisms for a green and low-carbon energy transition, including the Renewable Portfolio Standard (RPS), the Tradable Green Certificate (TGC) market, the green power trading market, and so on. However, how to effectively integrate coupled TGC and green power trading to achieve a balance between maximizing economic benefits and environmental friendliness remains to be explored.
View Article and Find Full Text PDFJ Genet Genomics
January 2025
Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address:
The crop yields achieved through traditional plant breeding techniques appear to be nearing a plateau. Therefore, it is essential to accelerate advancements in photosynthesis, the fundamental process by which plants convert light energy into chemical energy, to further enhance crop yields. Research focused on improving photosynthesis holds significant promise for increasing sustainable agricultural productivity and addressing challenges related to global food security.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China. Electronic address:
Background: The growing population of elderly neurocritically ill patients highlights the need for effective prognosis prediction tools. This study aims to develop and validate machine learning (ML) models for predicting 28-day mortality in intensive care units (ICUs).
Methods: Data were extracted from the Medical Information Mart for Intensive Care IV(MIMIC-IV) database, focusing on elderly neurocritical ill patients with ICU stays ≥ 24 h.
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