Development trend and research hotspots and frontiers of RBC storage lesion based on CiteSpace / 中国输血杂志

【Objective】 To explore the research status, hotspots, development trend and frontier of RBC storage lesion. 【Methods】 The Web of Science core collection database (http: //webofscience.com) was used to retrieve the documents related to " red blood cell storage lesion" from 2005 to 2021. After the exclusion of unrelated documents, CiteSpace (CiteSpace.5.7.R2) was used for bibliometric analysis, including author (all signatories of the article), institution and country (to which the article is affiliated), journal, key words and cited literatures. 【Results】 A total of 508 literatures were included, accounting for 91.86% (508/553) of all publication concerning " RBC storage lesion" in this period. The annual growth rate of publications was 14.38%. There were 1 868 authors totally, and 39.76% (202/508) of them published more than 3 papers. D ′Alessandro A from the United States ranked first [7.68% (39/508)], Univ Colorado System and Univ Pittsburgh were the top two institutions [7.28% (37/508) and 7.09% (36/508), respectively]. The United States [53.35% (271/508)], Canada [13.19% (67/508)], the United Kingdom [6.50% (33/508)] and Switzerland [6.10% (31/508)] were the top 4 countries. Keywords co-occurrence network, emergent atlas and literature co-citation cluster atlas mainly focused on mechanism research, clinical trials, improvement of RBC storage conditions and reduction of RBC storage lesion. 【Conclusion】 The most important researchers and institutions in the field of RBC storage lesion in the past 17 years were mainly from the United States and Europe. The application of metabolomics and other technologies, the mechanism of RBC storage lesion, the selection of donor diversity, and the research and development of new preservation solutions or additives are the hotspots and frontiers in this field.

Molecular characterization and core collection evaluation of Manihot esculenta Crantz / Caracterização molecular e avaliação de coleção nuclear de Manihot esculenta Crantz

Cassava is one of the most important subsistence crops in tropical regions. It is necessary to preserve and to know the genetic diversity existent for the adequate use of genetic resources. The evaluation of genetic diversity among genotypes results in information about potential parents in breeding programs, allows duplicates identification, and facilitates germplasm exchange between research institutions. The objective of this study was to characterize the genetic diversity of cassava accessions of North Brazil region. A total of 106 accessions were analyzed using ten microsatellite markers. The genetic parameters estimated were: expected heterozygosity (HE), observed heterozygosity (HO) and polymorphic information content (PIC). Clustering was performed using the UPGMA and Neighbor-Joining (NJ) method. Bayesian analysis, analysis of principal coordinates and identification of a core collection were also used. The ten loci amplified 8,40 alleles on average. The average heterozygosity estimates were: HE = 0.71, HO = 0.58 and PIC = 0.72. Genetic distances ranged from 0.158 to 0.908. Six (5,66%) accesses were redundant. Clustering and dispersion analysis didn't differentiate bitter from sweet cassava, and there wasn't correlation between groups and collect origin. The core collection consisted of 22 individuals that represented 94% of total allelic diversity and 20,75% of the base collection. The results indicate high dissimilarity between the accessions and allowed the detection of redundant genotypes, showing the use of genetic markers as informative tools for the management of collections. (AU)

A mandioca é uma das mais importantes culturas de subsistência em países tropicais. É preciso conservar e conhecer a diversidade genética para o uso adequado dos recursos genéticos. A avaliação da diversidade genética entre os genótipos resulta em informações sobre potenciais genitores em programas de melhoramento, possibilita a identificação de duplicatas, além disso, facilita o intercâmbio de germoplasma entre instituições de pesquisa. O objetivo deste trabalho foi caracterizar a diversidade genética dos acessos de mandioca da Região Norte do Brasil. Foram analisados 106 acessos por meio de dez marcadores microssatélites. Os parâmetros de diversidade genética estimados foram: heterozigosidade esperada (HE), heterozigosidade observada (HO) e conteúdo de informação polimórfica (PIC). Agrupamentos foram realizados pelo método UPGMA e Neighbor-Joining (NJ). Utilizou-se também análises bayesianas, dispersão por coordenadas principais e a identificação de uma coleção nuclear. Os dez locos amplificaram 8,40 alelos em média. A média das estimativas de diversidade foram altas: HE = 0,71, HO = 0,58 e PIC = 0,72. As distâncias genéticas variaram de 0,158 a 0,908. Seis (5,66%) acessos estão redundantes. Os agrupamentos e análises de dispersão não evidenciaram distinção entre variedades bravas e mansas e não foi identificada estrutura genética correspondente a origem dos acessos. A coleção nuclear foi formada por 22 indivíduos, que representaram 94% da diversidade alélica total e 20,75% da coleção base. Os resultados indicam alta dissimilaridade entre os acessos e permitiram a detecção de genótipos redundantes, mostrando o uso de marcadores genéticos como ferramentas informativas para o manejo de coleções. (AU)

Bibliometric analysis of studies about acute myeloid leukemia conducted globally from 1999 to 2018

A bibliometric study is performed to analyze publication patterns in a specific research area and to establish a landscape model that can be used to quantitatively weigh publications. This study aimed to investigate AML research networks and to conduct a trend-related keyword analysis. We analyzed 48,202 studies about AML published from 1999 to 2019 in the Web of Science Core Collection. The network analysis was conducted using the R&R studio software. The journal Blood had the highest number of published articles with an h-index of 410. The USA had the highest number of total publications (18,719, 38.3%) and research funded by the government, institutions, and pharmaceutical companies (5,436, 10.8%). The institute with the largest number of publications was the MD Anderson Cancer Center. Kantarjian H, Garcia-Manero G, and Ravandi F were the leading authors of publications about AML. Keyword analysis revealed that FLT 3, micro-RNA, and NK cell topics were the hotspots in the cell and gene area in all publications. The overall AML research landscape is popular in the field of translational research as it can identify molecular, cell, and gene studies conducted by different funding agencies, countries, institutions, and author networks. With active funding and support from the Chinese government, the productivity of scientific research is increasing not only in the AML field but also in the medical/health-related science field.

Signal-Processing tools for core-collection selection from genetic-resource collection / Herramienta de procesamiento de señales para la selección de "Core-Collection" desde colección de recursos genéticos

Abstract Selecting a representative core collection (CC) is a proven and effective strategy for overcoming the expenses and difficulties of managing genetic resources in gene banks around the globe. Because of the diverse applications available for these sub-collections, several algorithms have been successfully implemented to construct them based on genotypic, phenotypic, passport or geographic data (either by individual datasets or by consensus). However, to the best of our knowledge, no single comprehensive datasets has been properly explored to date. Thus, researchers evaluate multiple datasets in order to construct representative CCs; this can be quite difficult, but one feasible solution for such an evaluation is to manage all available data as one discrete signal, which allows signal processing tools (SPTs) to be implemented during data analysis. In this research, we present a proof- of-concept study that shows the possibility of mapping to a discrete signal any type of data available from genetic resource collections in order to take advantage of SPTs for the construction of CCs that adequately represent the diversity of two crops. This method is referred to as 'SPT selection.' All available information for each element of the tested collections was analysed under this perspective and compared when possible, with one of the most used algorithms for CC selection. Genotype-only SPT selection did not prove as effective as standard CC selection did not prove as effective as standard CC selection algorithms; however, the SPT approach can consider genotype alongside other types of information, which results in well-represented Ccs that consider both the genotype and agromorphological diversities present in original collections. Furthermore, SPT-based analysis can evaluate all available data both in a comprehensive manner and under different perspective, and despite its limitations, the analysis renders satisfactory results. Thus, SPT-based algorithms for CC selection can be valuable in the field of genetic resources research, management and exploitation.

Resumen La selección de una colección núcleo (core-collection) representativa (CC) es una estrategia comprobada y eficaz para superar los gastos y las dificultades de la gestión de los recursos genéticos en los bancos de germoplasma de todo el mundo. Debido a las diversas aplicaciones disponibles para estas subcolecciones, se han implementado con éxito varios algoritmos para construirlos en base a datos genotípicos, fenotípicos, de pasaporte o geográficos (ya sea por conjuntos de datos individuales o por consenso). Sin embargo, hasta donde tenemos conocimiento, no se han explorado adecuadamente conjuntos de datos integrales hasta la fecha. Por lo tanto, los investigadores evalúan conjuntos de datos múltiples para construir CCs representativos; esto puede ser bastante difícil, pero una solución factible para tal evaluación es administrar todos los datos disponibles como una señal discreta, que permite implementar herramientas de procesamiento de señal (SPT) durante el análisis de datos. En esta investigación, presentamos un estudio de prueba de concepto que muestra la posibilidad de asignar a una señal discreta cualquier tipo de datos disponibles de colecciones de recursos genéticos para aprovechar los SPT para la construcción de CC que representen adecuadamente la diversidad de dos cultivos. Este método se conoce como "selección de SPT." Toda la información disponible para cada elemento de las colecciones analizadas se analizó bajo esta perspectiva y se comparó cuando fue posible, con uno de los algoritmos más utilizados para la selección de CC. La selección de SPT de solo genotipo no resultó tan efectiva como los algoritmos de selección de CC estándar; sin embargo, el enfoque SPT puede considerar el genotipo junto con otros tipos de información, lo que da como resultado CCs bien representados que consideran tanto el genotipo como las diversidades agromorfológicas presentes en las colecciones originales. Además, el análisis basado en SPT puede evaluar todos los datos disponibles, tanto de manera integral y bajo diferentes perspectivas, y a pesar de sus limitaciones, el análisis arroja resultados satisfactorios. Por lo tanto, los algoritmos basados en SPT para la selección de CC pueden ser valiosos en el campo de la investigación, gestión y explotación de recursos genéticos.

Construction of core collection of Psammosilene tunicoides based on polymorphism of β-AS gene / 中国中药杂志

Psammosilene tunicoides is one of the main ingredients of the "Yunnan Baiyao". P. tunicoides is an endangered species included in the secondary protection list in China Plant Red Data Book as well as the endemic species in Southwest China. Its natural resources could not meet the needs of pharmaceutical production. Construction of core collection of P. tunicoides will lay the foundation for germplasm improvement and molecular breeding. The sequence variation of the key enzymes gene locus (β-AS) were carried out to survey the population structure and population history of the species. Among the 11 populations across its geographical range, 36 haplotypes were identified. The levels of haplotype diversity (Hd=0.905) were high, while the levels of population differentiation (GST=0.280) were low. Analysisof molecular variance (AMOVA) indicated that a significantly greater proportion of total genetic variationpartitioned among populations thanwithin populations (values of 77.43% and 22.57%, respectively). These results in combination with the star-like phylogenetic network analysis indicate that Hap1 as an ancestral haplotypewas shared in four populations, Hap2, Hap4, Hap15 and Hap16 are occurred in two populations, the remains as private haplotype only distributed in single population. The strategy of core collection was constructed in order to maximumpreserve genetic diversity of P. tunicoides.

Association mapping for yield and grain quality traits in rice (Oryza sativa L. )

Association analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained the marker-trait association across years and cultivation. The significant association detected between amylose content and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association analysis in conjunction with germplasm characterization was demonstrated, even when considering low marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important traits in germplasm.