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The intricate regulation of flowering time in response to day length has been extensively shown. A recent study has now revealed a similar mechanism for regulating vegetative growth. Wang et al. observed that plants measure daylength as the duration of photosynthesis and metabolite production to modulate vegetative growth.

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INTRODUCTION: Membranous nephropathy (MN) is the most common cause of primary nephrotic syndrome in adults (20-30%). Light microscopy shows thickening of glomerular basement membrane with appearance of spikes. These histological findings are not evident in early forms, in which case the granular deposition pattern of IgG and/or C3 in the basement membrane by immunofluorescence (IF) constitutes the diagnostic tool that allows to differentiate it from minimal change disease (MCD). Complement system plays a key role in the pathophysiology of MN. C4d is a degradation product and a marker of the complement system activation. C4d labelling by immunohistochemical (HI) technique can help in the differential diagnosis between both glomerulopathies NM and MCD when the material for IF is insufficient and light microscopy is normal. Our objective was to explore the discrimination power of C4d to differentiate between MN and MCD in renal biopsy material. METHODS: Paraffin-embedded samples were recovered from renal biopsies with a diagnosis of MN and MCD performed between 1/1/2008 and 4/1/2019. IH staining was performed by immunoperoxidase technique using a rabbit anti-human C4d polyclonal antibody. RESULTS: In all cases with MN (n = 27, 15 males) with a median age of 63 (range: 18-87) years, C4d deposits were detected. In 21 cases with MCD (12 males) with a median age of 51 (range: 18-87) years, the C4d marking was negative in every samples. CONCLUSION: The results indicate that the marking of the renal biopsy with C4d is a useful tool for the differential diagnosis between NM and MCD.

Introducción: La nefropatía membranosa (NM) es la causa más frecuente de síndrome nefrótico primario en adultos (20-30%). En la microscopia óptica se observa engrosamiento de membrana basal glomerular con aparición de espigas. Estos hallazgos histológicos no son evidentes en formas tempranas, en cuyo caso el patrón de depósito granular de IgG y/o C3 en la membrana basal por inmunofluorescencia (IF) permite diferenciarla de enfermedad por cambios mínimos (ECM). El sistema del complemento juega un papel central en la fisiopatología de la NM. C4d es producto de degradación y un marcador de la activación del complemento. La marcación con C4d en muestras de biopsias renales, por técnica de inmunohistoquímica (IH) puede colaborar en el diagnóstico diferencial entre ambas glomerulopatías. Nuestro objetivo fue explorar el poder de discriminación del C4d para diferenciar NM de ECM en material de biopsias renales. Métodos: Se recuperaron muestras en parafina de biopsias renales con diagnóstico de NM y ECM realizados entre 1/1/2008 y 1/4/2019. Se realizaron tinciones de IH por técnica de inmunoperoxidasa con C4d usando un anticuerpo policlonal antihumano de conejo. Resultados: En todos los casos con NM (n = 27, 15 hombres) con mediana de edad de 63 (rango: 18-86) años se detectaron depósitos de C4d. En los 21 casos con ECM (12 hombres) con mediana de edad de 51 (rango: 18-87) años la marcación de C4d fue negativa. Conclusión: Los resultados indican que la marcación de la biopsia renal con C4d es una herramienta útil para el diagnóstico diferencial entre NM y ECM.

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BACKGROUND: There is a little information about of expression of C4d (complement fragment) in Focal segmental glomerulosclerosis (FSGS) subtypes. Our aim was to determine the expression of C4d in FSGS subtypes in percutaneous native renal biopsies in a second-level hospital and its correlation with clinical, biochemical and histological variables. MATERIAL AND METHODS: A retrospective study in paraffin blocks of patients with biopsy with FSGS aged 16-65 years, indistinct sex, not diabetic or obese. Immunohistochemistry was performed for C4d and their expression was analyzing in non-sclerosed glomerular capillaries (GC) and sclerosis areas (SA). Clinical and biochemical variables were recorded. The cases were divided into C4d positive and C4d negative groups and compared. The correlation between C4d staining scores in CG and SA with clinical and biochemical variables were analyzed. RESULTS: Twenty samples were analyzed, 4 for each subtype. At the time of biopsy average age 38.8 ±â€¯18.6 years, 65% male, 8.7% were hypertension. The percentage of positivity for C4d was 40% in GC, 30% SA and 35% in mesangium. The highest expression was for cellular and collapsing subtypes. C4d positivity cases had increased proteinuria (p = 0.035). A significant correlation was found between percentage of C4d expression in CG with SA (p = 0.012) and SA with tubular atrophy and interstitial fibrosis (p < 0.05). CONCLUSIONS: C4d expression in FSGS predominated in the cellular and collapsing subtypes, which translates complement activation. C4d is a possible surrogate marker in GSFS.

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Desert shrubs are keystone species for plant diversity and ecosystem function. Atriplex clivicola and Atriplex deserticola (Amaranthaceae) are native shrubs from the Atacama Desert that show contrasting altitudinal distribution (A. clivicola: 0-700 m.a.s.l.; A. deserticola: 1500-3000 m.a.s.l.). Both species possess a C4 photosynthetic pathway and Kranz anatomy, traits adaptive to high temperatures. Historical records and projections for the near future show trends in increasing air temperature and frequency of heat wave events in these species' habitats. Besides sharing a C4 pathway, it is not clear how their leaf-level physiological traits associated with photosynthesis and water relations respond to heat stress. We studied their physiological traits (gas exchange, chlorophyll fluorescence, water status) before and after a simulated heat wave (HW). Both species enhanced their intrinsic water use efficiency after HW but via different mechanisms. A. clivicola, which has a higher LMA than A. deserticola, enhances water saving by closing stomata and maintaining RWC (%) and leaf Ψmd potential at similar values to those measured before HW. After HW, A. deserticola showed an increase of Amax without concurrent changes in gs and a significant reduction of RWC and Ψmd. A. deserticola showed higher values of Chla fluorescence after HW. Thus, under heat stress, A. clivicola maximizes water saving, whilst A. deserticola enhances its photosynthetic performance. These contrasting (eco)physiological strategies are consistent with the adaptation of each species to their local environmental conditions at different altitudes.

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Reflectance spectroscopy, in combination with machine learning and artificial intelligence algorithms, is an effective method for classifying and predicting pigments and phenotyping in agronomic crops. This study aims to use hyperspectral data to develop a robust and precise method for the simultaneous evaluation of pigments, such as chlorophylls, carotenoids, anthocyanins, and flavonoids, in six agronomic crops: corn, sugarcane, coffee, canola, wheat, and tobacco. Our results demonstrate high classification accuracy and precision, with principal component analyses (PCAs)-linked clustering and a kappa coefficient analysis yielding results ranging from 92 to 100% in the ultraviolet-visible (UV-VIS) to near-infrared (NIR) to shortwave infrared (SWIR) bands. Predictive models based on partial least squares regression (PLSR) achieved R2 values ranging from 0.77 to 0.89 and ratio of performance to deviation (RPD) values over 2.1 for each pigment in C3 and C4 plants. The integration of pigment phenotyping methods with fifteen vegetation indices further improved accuracy, achieving values ranging from 60 to 100% across different full or range wavelength bands. The most responsive wavelengths were selected based on a cluster heatmap, ß-loadings, weighted coefficients, and hyperspectral vegetation index (HVI) algorithms, thereby reinforcing the effectiveness of the generated models. Consequently, hyperspectral reflectance can serve as a rapid, precise, and accurate tool for evaluating agronomic crops, offering a promising alternative for monitoring and classification in integrated farming systems and traditional field production. It provides a non-destructive technique for the simultaneous evaluation of pigments in the most important agronomic plants.

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Many tropical and subtropical plant lineages have independently evolved C4 photosynthesis. The convergent evolution of this complex functional trait from different ancestors is reflected in variations in the structural and biochemical characteristics of C4 components such as enzymes and cellular specializations. The mechanism of C4 carbon concentration mostly involves coordinated function of mesophyll and bundle sheath cells. Important adaptations of the C4 syndrome include increased vein density and the development of photosynthetic bundle sheath cells with low gas conductance. In addition, the enzymes and transporters of the C4 pathway evolved via the co-option of multiple genes, each derived from a specific lineage of isoforms present in nonC4-ancestors. In particular, the adaptation of C4 enzymes resulted in a variety of structural and biochemical modifications, generally leading to increased catalytic efficiency and regulation by metabolites and post-translational modifications. Differences in these adaptations are particularly evident in the C4-acid decarboxylation step, which can be catalyzed by three decarboxylases that define the C4 subtypes. Associated with the biochemical subtypes, there are also differences in the extend of grana staking and localization of bundle sheath cells chloroplasts. The presence of a suberin layer and symplastic connections also likely vary among the different C4-subtypes. This review examines the current understanding of the diversity of structural and functional changes in key components of the C4 carbon concentration mechanism. This knowledge is necessary not only to identify divergent solutions for convergent optimization of C4 components in different C4 lineages, but also to guide their creation for rational synthetic biology approaches.

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BACKGROUND: C4 photosynthesis is a mechanism that plants have evolved to reduce the rate of photorespiration during the carbon fixation process. The C4 pathway allows plants to adapt to high temperatures and light while more efficiently using resources, such as water and nitrogen. Despite decades of studies, the evolution of the C4 pathway from a C3 ancestor remains a biological enigma. Interestingly, species with C3-C4 intermediates photosynthesis are usually found closely related to the C4 lineages. Indeed, current models indicate that the assembly of C4 photosynthesis was a gradual process that included the relocalization of photorespiratory enzymes, and the establishment of intermediate photosynthesis subtypes. More than a third of the C4 origins occurred within the grass family (Poaceae). In particular, the Otachyriinae subtribe (Paspaleae tribe) includes 35 American species from C3, C4, and intermediates taxa making it an interesting lineage to answer questions about the evolution of photosynthesis. RESULTS: To explore the molecular mechanisms that underpin the evolution of C4 photosynthesis, the transcriptomic dynamics along four different leaf segments, that capture different stages of development, were compared among Otachyriinae non-model species. For this, leaf transcriptomes were sequenced, de novo assembled, and annotated. Gene expression patterns of key pathways along the leaf segments showed distinct differences between photosynthetic subtypes. In addition, genes associated with photorespiration and the C4 cycle were differentially expressed between C4 and C3 species, but their expression patterns were well preserved throughout leaf development. CONCLUSIONS: New, high-confidence, protein-coding leaf transcriptomes were generated using high-throughput short-read sequencing. These transcriptomes expand what is currently known about gene expression in leaves of non-model grass species. We found conserved expression patterns of C4 cycle and photorespiratory genes among C3, intermediate, and C4 species, suggesting a prerequisite for the evolution of C4 photosynthesis. This dataset represents a valuable contribution to the existing genomic resources and provides new tools for future investigation of photosynthesis evolution.

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Trehalose 6-phosphate (Tre6P), the intermediate of trehalose biosynthesis, is an essential signal metabolite in plants, linking growth and development to carbon status. Our current understanding of Tre6P metabolism and signaling pathways in plants is based almost entirely on studies performed with Arabidopsis thaliana, a model plant that performs C3 photosynthesis. Conversely, our knowledge on the molecular mechanisms involved in Tre6P regulation of carbon partitioning and metabolism in C4 plants is scarce. This topic is especially relevant due to the agronomic importance of crops performing C4 photosynthesis, such as maize, sorghum and sugarcane. In this review, we focused our attention on recent developments related to Tre6P metabolism in C4 species and raised some open questions that should be addressed in the near future to improve the yield of economically important crops.

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Climate models predict that plants will face extreme fluctuations in water availability in future global change scenarios. Then, forage production will be more frequently subjected to the destabilizing pressure of sequentially occurring waterlogging and drought events. While the isolated effects of drought (D) and waterlogging (WL) are well characterized, little is known about the consequences when both stresses occur sequentially. We hypothesized that plants sequentially subjected to opposite water scenarios (D followed by WL or vice versa) are less stress tolerant than plants experiencing repetitions of the same type of water stress (i.e., D + D or WL + WL) due to contrasting acclimation and allocation to either shoots (WL) or roots (D). Chloris gayana (a tropical forage grass capable of tolerating either D and WL) plants were randomly assigned to nine treatments (a sequence of two stress rounds-WL or D-each followed by a recovery phase at field capacity). Relative growth rates and allometric responses were measured after each stress round and recovery period. In the first round of stress, both WL and D reduced plant RGR similarly, despite their allocation being opposite-prioritizing shoots or roots under WL and D, respectively. The high recovery displayed after either WL or D overrode any possible acclimation of the plants facing a second round of water stress. We conclude that the tolerance of C. gayana to sequential water stress (either for WL or D) is likely to depend more heavily on its recovery ability than on its previous adjustment to any stress scenario that may evoke memory responses. Knowledge like this could help improve forage grass breeding and the selection of cultivars for poorly drained soils subject to sequential stress events.