Phenotypic and genetic dissection of cadmium accumulation in roots,nodes and grains of rice hybrids

Plant and Soil - Rice accumulates higher levels of cadmium (Cd) in grain than other cereals, and hybrid rice varieties cover around half of the total rice area in China. Therefore, understanding...     

The correlation of microRNA-499 rs3746444 T>C locus with the susceptibility of gastric cancer: from a case–control study to a meta-analysis

The relationship between rs3746444 T>C single-nucleotide polymorphism (SNP) in microRNA (mir)-499 and risk of gastric cancer (GC) has been widely investigated. However, the association was still unconfirmed. Here, we first recruited 490 GC patients and 1476 controls, and conducted a case-control study. And we did not find any association between rs3746444 T>C SNP polymorphism and risk of GC. Subsequently, we conducted a meta-analysis to explore the association of mir-499 rs3746444 polymorphism with GC development. Two authors searched the PubMed and EMBASE databases up to October 15, 2019 independently. Finally, nine literatures involving 12 independent studies were included. In total, 3954 GC cases and 9745 controls were recruited for meta-analysis. The results suggested that allele model, homozygote model and recessive model could increase the risk of overall GC (P = 0.002, 0.009 and 0.013, respectively). When we excluded the studies violated HWE, this association was also found in allele model (P = 0.020) and dominant model (P= 0.044). In subgroup analyses, we identified that rs3746444 SNP in mir-499 increased the risk of GC in Asians and gastric cardiac adenocarcinoma (GCA) subgroups. No significant bias of selection was found (all P>0.1). Test of sensitivity analysis indicated that our findings were stable. Additionally, we found that the power value was 0.891 in the allele model, suggesting the reliability of our findings. In summary, our analysis confirmed the association between rs3746444 and the risk of GC, especially in Asians and in patients with GCA.     

Hyaluronan synthase 2 (HAS2) regulates cell phenotype and invadopodia formation in luminal-like breast cancer cells

Molecular and Cellular Biochemistry - Although luminal breast cancer cells are typically highly cohesive epithelial cells and have low invasive ability, many eventually develop metastasis. Until...     

Plasticity of symbiont acquisition in new recruits of the massive coral Platygyra daedalea under ocean warming and acidification

Coral Reefs - Symbiosis establishment is a milestone in the life cycles of most broadcast-spawning corals; however, it remains largely unknown how initial symbiont infection is affected by ocean...     

Ampicillin used in aseptic processing influences the production of pigments and fatty acids in Chlorella sorokiniana

World Journal of Microbiology and Biotechnology - Chickpea (Cicer arietinum L., Fabaceae) is the second most important legume after common bean (Phaseolus vulgaris L., Fabaceae) and third in...     

Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean

Transgenic Research - The releasing of transgenic soybeans (Glycine max (L.) Merr.) into farming systems raises concerns that transgenes might escape from the soybeans via pollen into...     

中国兽类分类与系统演化研究进展

中国兽类（即哺乳动物）种类繁多,对维持生态平衡发挥着重要的作用。自John R.Reeves于1829—1834年在我国广东开展兽类调查以来,近200年我国兽类分类及系统学研究取得了令世人瞩目的进步和发展。目前中国已知的兽类物种数已达686种,约占全世界兽类种数的10%,是世界上兽类物种多样性最丰富的国家之一。随着我国对生态环境保护的重视,生态环境日益改善,但全球气候变化、生境破碎化、人类活动增加及人兽共患重大疫情涌现等问题仍十分突出,兽类多样性调查及分类学研究的必要性越发明显。同时,兽类分类学这门古老而传统的学科也在不断引入各种新方法与技术,如整合分类学、标本数字化、模式标本测序、便携式测序技术及基于深度学习技术的物种识别鉴定等,分类学研究的成果及应用在近年得到了飞速发展。动物分类学作为传统的基础学科,是遗传学、生理学、生态学、医学、药学等现代生物学的基石。然而,由于学科特征和差异等原因,该学科近年来没有得到足够的重视,导致出现了学科萎缩和分类学人才后继无人的危机。因此,从国家层面对分类学、形态学等基础学科的人才培养、课题设置和资金投入等,予以特殊的政策支持,十分必要,也亟待解决。     

On computation of semiparametric maximum likelihood estimators with shape constraints

Large sample theory of semiparametric models based on maximum likelihood estimation (MLE) with shape constraint on the nonparametric component is well studied. Relatively less attention has been paid to the computational aspect of semiparametric MLE. The computation of semiparametric MLE based on existing approaches such as the expectation‐maximization (EM) algorithm can be computationally prohibitive when the missing rate is high. In this paper, we propose a computational framework for semiparametric MLE based on an inexact block coordinate ascent (BCA) algorithm. We show theoretically that the proposed algorithm converges. This computational framework can be applied to a wide range of data with different structures, such as panel count data, interval‐censored data, and degradation data, among others. Simulation studies demonstrate favorable performance compared with existing algorithms in terms of accuracy and speed. Two data sets are used to illustrate the proposed computational method. We further implement the proposed computational method in R package BCA1SG , available at CRAN.