枸杞SWEET基因家族鉴定及其与可溶性糖含量关系

【目的】糖外排转运蛋白(sugars will eventually be exported transporters,SWEETs)在植物生长发育过程中发挥重要作用,解析SWEETs基因在枸杞果实发育过程中对糖积累作用,为进一步揭示SWEETs基因在枸杞果实发育过程中的作用提供参考。【方法】用生物信息学方法对枸杞SWEET基因(LbaSWEETs)进行全基因组鉴定,并用已发表的转录数据分析LbaSWEETs在果实发育时期的基因表达情况。【结果】枸杞SWEET基因家族共有37个成员,随机分布于10条染色体上,分别编码152~621个氨基酸,蛋白质分子质量为16.87~69.97 kD,等电点为4.96~9.86。亚细胞定位预测位于叶绿体或质膜,大多数含有7个跨膜螺旋。系统进化分析发现,37个LbaSWEETs蛋白可分为4个亚群,每个亚群的基因结构和保守基序组成相似。启动子元件分析表明:Lba-SWEETs基因启动子富含大量激素响应、逆境胁迫和生长发育响应元件。转录组数据和qRT-PCR分析表明:LbaSWEET9和LbaSWEET29基因表达量随果实成熟呈现显著增加。相关性分析结果表明,LbaSWEET9和LbaSWEET29基因表达量与果糖含量呈显著正相关。【结论】LbaSWEET9和LbaSWEET29基因是果糖积累的关键基因。

基于转录组信息的百合SWEET基因家族鉴定及表达特性分析

以东方百合品种‘西伯利亚’为试材,采用生物信息学方法,研究了百合SWEET基因家族成员编码蛋白的理化性质、二级结构、系统进化、保守结构域、Motif及基因表达模式,对百合SWEET基因家族成员进行鉴定,探究其在鳞茎发育过程中的作用,以期为该类基因生物学功能和百合地下茎生鳞茎发育机制的研究提供参考依据。结果表明:从转录组数据鉴定到了12个SWEET基因,所有家族成员都为稳定的疏水蛋白,且均含有MtN3_slv结构域,可划分为4个亚家族,不同成员在百合茎生鳞茎形成和进一步发育中差异表达。

中药辨证治疗Sweet综合征1例报道并文献复习

Sweet综合征又名急性发热性中性粒细胞增多性皮病,是一种与许多不同的基础疾病相关的皮肤病。其主要临床表现为发热、疼痛性红色斑块或结节,外周血白细胞和中性粒细胞增多,组织病理学特点为真皮中大量中性粒细胞浸润[1]。本病发病机制尚不明确,慢性感染和恶性肿瘤是最常见的发病诱因,临床表现差异很大,容易误诊,组织病理是诊断Sweet综合征的可靠依据。现报道1例以中药方剂内服为主治疗有干燥综合征基础合并Sweet综合征患者的过程并进行文献复习。

联合化疗治疗原发性胃弥漫大B细胞淋巴瘤合并Sweet综合征1例并文献复习

非霍奇金淋巴瘤(non-Hodgkin lymphoma,NHL)是临床常见的肿瘤类型,临床表现多样,确诊依赖组织活检,根据病灶起源可以分为结内和结外淋巴瘤。原发性胃肠淋巴瘤是结外淋巴瘤的常见部位,可以累及胃、小肠、结肠等,其中约50%~60%发生在胃部,病理类型以黏膜相关淋巴组织淋巴瘤和弥漫大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)为主[1~3]。

猕猴桃AcSWEET基因家族的鉴定与表达分析

SWEET(Sugars will eventually be exported transporters)是近年来在植物中发现的一组糖转运蛋白,在植物生长、发育和非生物及生物胁迫响应等多种生理过程中发挥着重要作用。本研究利用生物信息学方法对猕猴桃(Actinidia chinensis Planch.)AcSWEET基因家族进行了鉴定,共获得29个AcSWEET基因,并对其氨基酸数量、相对分子量、等电点、不稳定系数、亚细胞定位、亲水指数进行了分析。结果显示:29个基因编码的氨基酸数目为680~906个;分子量范围为7.531~101.266 kDa,等电点在6.95~9.90,多数蛋白为定位于细胞膜的疏水性蛋白,具有1~2个MtN3结构域或PQ-loop结构域。此外,AcSWEET基因的外显子数量在4~6个,系统进化分析结果表明猕猴桃AcSWEET基因家族被分为4个亚族,同一亚族基因具有相似的内含子、外显子以及保守基序。表达模式分析结果表明,这些基因在果实不同发育时期具有表达特异性。推测AcSWEET26、AcSWEET7、AcSWEET15和AcSWEET13可能参与猕猴桃的蔗糖转运和积累。

植物SWEET基因及其糖转运功能研究进展

SWEET(sugars will eventually be exported transporter)是一类介导蔗糖或己糖通过顺浓度梯度被动扩散跨细胞膜转运的新型糖转运蛋白。植物SWEET蛋白包括7个跨膜结构域,其中包含2个MtN3/Saliva结构域,可分为4个进化分支。SWEET转运蛋白在多种生理和生化过程中发挥着关键作用,包括韧皮部装载、激素运输、营养和生殖生长等。结合当前SWEET转运蛋白的研究进展,重点总结了SWEET的发现、蛋白结构及其在糖转运中的生物学功能,指出目前植物SWEET基因研究面临的问题,并对未来SWEET蛋白的研究重点进行了展望:1)探究SWEET蛋白的底物识别机制;2)挖掘提高作物产量和品质的关键SWEET基因;3)利用SWEET基因编辑和磷酸化等策略改良作物产量和品质。

滇水金凤花蜜相关SWEET7和SWEET16的克隆及表达分析

植物SWEET(Sugars will eventually be exported transporter)基因家族是一类重要的糖转运蛋白,参与开花植物的花蜜合成。本研究以野生型和突变型滇水金凤(Impatiens uliginosa)为材料,基于课题组前期的花距转录组数据,通过筛选和RT-PCR技术克隆得到花蜜相关基因SWEET7和SWEET16,分别命名为IuSWEET7和IuSWEET16,其cDNA分别为741 bp和903 bp,分别编码246和300个氨基酸。生物信息学分析表明:IuSWEET7为疏水性不稳定蛋白,IuSWEET16为疏水性稳定蛋白,二者均含有2个典型的MtN3/saliv保守结构域;IuSWEET7和IuSWEET16基因的氨基酸序列与杜鹃花(KAG5539487.1)、一串红(XP_042052415.1)等植物同源序列的相似性均在54.15%~71.48%;系统进化分析表明,IuSWEET7和IuSWEET16处于两个不同分支。qRT-PCR分析表明两个基因在野生型和突变型滇水金凤花距的3个时期中均有表达,且在不同部位中表达模式不同。其中IuSWEET7基因在野生型滇水金凤中其表达量从花苞期至盛花期逐渐上升;在突变型2距和3距中其表达量从花苞期至盛花期先上升后下降,且在始花期表达量最高;而IuSWEET16基因在野生型和突变型3距中其表达量从花苞期至盛花期均逐渐上升,但在突变型2距中其表达量从花苞期至盛花期先上升后下降,也在始花期时达到最高。

Sweet综合征的发病机制及治疗进展

Sweet综合征(Sweet syndrome, SS)是一种病因不明的炎症性嗜中性皮肤病,与感染、药物、肿瘤及自身免疫性疾病等相关。发病机制涉及中性粒细胞功能障碍、免疫失衡及遗传因素等。传统一线治疗首选系统应用糖皮质激素。近年来随着SS的研究取得一定进展,生物制剂及小分子靶向药物也有成功治疗SS的报道。本文就SS的发病机制及治疗进展作一综述。

Sweet综合征口腔黏膜表现1例报道及文献回顾

目的探讨Sweet综合征的口腔黏膜病损表现,为临床早发现并正确诊断该病提供参考。方法报道1例60岁女性Sweet综合征患者的口腔黏膜病损表现,并结合相关文献对Sweet综合征进行分析。结果患者双下肢皮肤红斑伴口腔黏膜破溃疼痛3 d,患者皮损症状较轻,但口腔黏膜多发性大面积糜烂,疼痛明显,故首诊于口腔科。患者发病过程中伴有发烧,体温38.5℃;实验室检查示C反应蛋白升高(35.2 mg/L),血沉加快(77.00 mm/h);患者两侧膝盖及下肢可见散在分布红色斑块,轻度压痛,皮损组织病理学检查示:真皮全层见散在不成熟中性粒细胞聚集灶浸润。根据患者临床体征和实验室检查,皮损组织病理结果的镜下符合Sweet综合征的表现,诊断为Sweet综合征。给予患者1 mL复方倍他米松注射液肌肉注射仅1次;患者对糖皮质激素治疗效果反应良好;口腔采用复方氯己定溶液含漱,病损黏膜处重组牛碱性成纤维细胞生长因子溶液外用,3次/d,疗程为1周;用药4 d后复诊,体温恢复正常,口腔病损明显减轻;2周后复诊,小腿及膝盖处红斑几乎全部消退,口腔黏膜病损基本消失;半年后随访,结果显示皮损未复发;2年后随访,病情稳定,病损未见复发。回顾相关文献表明,Sweet综合征是一种少见的病因不明的炎性反应性皮病,临床上可分为3种类型:特发型、肿瘤相关型以及药物诱导型,男女患病比为1∶4,典型临床表现为急性出现的疼痛性红色斑块或结节,病损多位于四肢,常伴发热,外周血中性粒细胞数目增多,血沉加快,C反应蛋白阳性。系统应用糖皮质激素是本病最重要的治疗方法,大多数患者可在短期内改善皮损,但可能会存在潜在感染或停药后复发的情况。部分Sweet综合征患者可伴有口腔病损,但目前有关Sweet综合征在口腔黏膜表现的病例报道却很少,使得临床容易误诊。结论口腔黏膜病损可能为Sweet综合征的皮肤外表现,应综合考虑患者的全身情况,尽快完善皮肤活检以明确诊断,以免延误病情。

油茶SWEET基因家族的全基因组鉴定及表达分析

【目的】挖掘参与油茶糖代谢及逆境响应的糖外排转运子(sugars will eventually be exported transporters,SWEETs)。【方法】利用生物信息学方法分析油茶SWEETs家族的基因结构、蛋白基序、染色体定位、共线性关系、启动子区顺式作用元件及上游调控因子等,并利用RT-qPCR分析CoSWEETs在不同时期、不同组织及不同逆境胁迫下的基因表达情况。【结果】从油茶中鉴定得到14个CoSWEETs基因,不均匀分布于10条染色体上,不同成员间内含子-外显子数目存在差异。根据系统进化关系,14个CoSWEETs可分为 4个分支,均具有1-2个MtN3 保守结构域,同一分支具有相似的基因结构和基序。根据启动子顺式作用元件和上游转录因子预测的分析结果,CoSWEETs启动子中含有多个与生长发育、植物激素和应激相关的调节元件,其表达可能受到ERF、DOF、BBR-BPC、MYB等转录因子的调控。RT-qPCR分析表明大部分CoSWEETs成员在果实和根中高表达,在种子中的表达水平与发育时期相关,并根据低温、高盐和干旱等非生物胁迫下CoSWEETs的表达模式挖掘出CoSWEET1、CoSWEET2、CoSWEET17等响应油茶低温、干旱或高盐胁迫的基因。【结论】CoSWEET基因的表达受到多种激素及转录因子调控,并在油茶种子发育与逆境胁迫响应中发挥重要作用。

Reconstruction of Knowledge and Medical Images in the Convergence of Chinese and Western Medicine:Taking “Sweet Meat” as an Example

The pancreas is neither part of the five Zang organs(五脏) nor the six Fu organs(六腑).Thus,it has received little attention in Chinese medical literature.In the late 19th century,medical missionaries in China started translating and introducing anatomical and physiological knowledge about the pancreas.As for the word pancreas,an early and influential translation was “sweet meat”(甜肉),proposed by Benjamin Hobson(合信).The translation “sweet meat” is not faithful to the original meaning of “pancreas”,but is a term coined by Hobson based on his personal habits,and the word “sweet” appeared by chance.However,in the decades since the term “sweet meat” became popular,Chinese medicine practitioners,such as Tang Zonghai(唐宗海),reinterpreted it by drawing new medical illustrations for “sweet meat” and giving new connotations to the word “sweet”.This discussion and interpretation of “sweet meat” in modern China,particularly among Chinese medicine professionals,is not only a dissemination and interpretation of the knowledge of “pancreas”,but also a construction of knowledge around the term “sweet meat”.

溃疡性结肠炎合并Sweet综合征、玫瑰痤疮1例

患者女,43岁,因“面部反复红斑、丘疹,伴腹痛、腹泻”4年,复发1月,加重4d,于2021年4月第3次入我院。4年前患者因腹痛、腹泻伴面部红斑丘疹于我院住院,诊断“炎性肠病、面部激素依赖性皮炎”。1月前患者面部皮损、腹泻加重再次入院,结合病理检查结果诊断为“溃疡性结肠炎、玫瑰痤疮”。两次住院均使用激素、羟氯喹等治疗,好转后出院,但停药后病情反复。本次因面颈部、双上肢出现红色疼痛性斑块入院。结合病理检查结果诊断sweet综合征,予以甲泼尼龙40mg,皮损逐渐消退。

扁蓿豆SWEET基因家族鉴定及在干旱和寒冷胁迫下的表达分析

SWEET(Sugars will eventually be exported transporter)蛋白是一类新型糖转运蛋白。本研究基于扁蓿豆(Medicago ruthenica)基因组对MrSWEET基因家族进行了鉴定和生物信息学分析,并通过qPCR初步分析MrSWEET在干旱和寒冷环境下的表达模式,以期深入探究扁蓿豆SWEET基因家族在非生物胁迫中的作用。结果表明,扁蓿豆SWEET糖转运蛋白家族共有18个成员,都具有典型的MtN3_saliva/PQ-Loop结构域。系统发育分析表明,其可分为4个进化枝,其中CladeⅠ包括MrSWEET1a、-1b、-2a、-2b、-3a、-3b;CladeⅡ包括MrSWEET4~6;CladeⅢ包括MrSWEET9~15,MrSWEET16~17属于CladeⅣ。所有的MrSWEET成员都含有Motif 1、3、4、5,可能与糖转运蛋白的功能有关。MrSWEET基因启动子区域含有多个与光响应、激素响应和非生物胁迫以及植物生长发育有关的功能元件。在干旱(15%PEG6000)和寒冷(4℃)胁迫下,扁蓿豆根部的MrSWEET基因表达水平相对高于叶片,且根部大多数基因在干旱和寒冷胁迫处理6、12 h时表达量最高;干旱处理下,根部的MrSWEET1a和MrSWEET16相对表达量在3、6、12、24 h和7 d时均高于对照,寒冷处理下根部的MrSWEET16表达量以及处理7 d的MrSWEET1a表达量高于对照,说明其可能参与调控扁蓿豆对干旱和寒冷胁迫的响应。

Protein glycation:a wolf in sweet sheep’s clothing behind neurodegeneration

At the beginning of the 16th century,Paracelsus coined the maxim:“the dose makes the poison”.This principle can be applied to all living organisms,including organs and cells.The brain and its glial and neuronal cells are no exception.Even small compounds that are essential for the life of brain cells can become truly toxic when overdosed.

植物糖转运蛋白SWEETs研究进展

植物碳水化合物在“源流库”不同组织器官中的合成、代谢及转运对有机体维持正常生命活动至关重要。其中,以蔗糖、葡萄糖和果糖为代表的糖类短距离或长距离运输在源到库的“流”中占有关键作用,在此过程中,碳水化合物的转运与分配需要多种细胞糖转运体的协同参与。糖外排转运蛋白(SWEETs)能够调节植物营养的分配、利用,决定组织器官的生长与发育,维持或调节细胞糖响应浓度,调节寄主-病原体相互作用等生物与非生物胁迫。本综述介绍了SWEETs基因家族基本结构特征、生理功能和胁迫应答等方面的研究进展,对植物细胞生理功能的理解和生物育种等研究具有重要意义。

Development characteristics and controlling factors of fractures in lacustrine shale and their geological significance for evaluating shale oil sweet spots in the third member of the Shahejie Formation in the Qikou Sag, Bohai Bay Basin

Natural fractures are critical for shale oil and gas enrichment and development. Due to the extremely high heterogeneity of shale, the factors controlling the formation of internal fractures, especially horizontal fractures, remain controversial. In this study, we integrate thin section analysis and microcomputed tomography(CT) data from several lacustrine shale samples from the third member(Es3) of the Shahejie Formation, Qikou Sag, Bohai Bay Basin, to assess the fractures in detail. The goal is to reveal the development characteristics, controlling factors, and geological significance for evaluating sweet spots in a shale oil play. The fractures in the Es3contain high-angle structural and horizontal bed-parallel fractures that are mostly shear and extensional. Various factors influence fracture development,including lithofacies, mineral composition, organic matter content, and the number of laminae. Structural fractures occur predominantly in siltstone, whereas bed-parallel fractures are abundant in laminated shale and layered mudstone. A higher quartz content results in higher shale brittleness, causing fractures, whereas the transformation between clay minerals contributes to the development of bedparallel fractures. Excess pore pressure due to hydrocarbon generation and expulsion during thermal advance can cause the formation of bed-parallel fractures. The density of the bed-parallel and structural fractures increases with the lamina density, and the bed-parallel fractures are more sensitive to the number of laminae. The fractures are critical storage spaces and flow conduits and are indicative of sweet spots. The laminated shale in the Es3with a high organic matter content contains natural fractures and is an organic-rich, liquid-rich, self-sourced shale play. Conversely, the siltstone, massive mudstone, and argillaceous carbonate lithofacies contain lower amounts of organic matter and do not have bed-parallel fractures. However, good reservoirs can form in these areas when structural fractures are present and the source, and storage spaces are separated.

Highβ-sitosterol-D-glucoside content in sweet potato varieties and its anti-breast cancer potential through multiple metastasis-associated signals

β-Sitosterol-D-glucoside(β-SDG)is a phytosterol compound whose antitumor activity has been confirmed by previous studies.However,its suppression on breast cancer remains unclear.To that purpose,we isolatedβ-SDG from sweet potato and investigated the breast-cancer-inhibiting mechanism using proteomic analysis.The sweet potato species S6 with highβ-SDG content were chosen form 36 species andβ-SDG was isolated by HPLC.Afterwards,an in situ animal model of breast cancer was established,andβ-SDG significantly reduced the tumor volume of MCF-7 xenograft mice.Proteomic analysis of tumor tissues revealed that 127 of these proteins were upregulated and 80 were downregulated.Gene ontology and network analysis showed that regulatory proteins were mainly associated with epithelial-mesenchymal transition(EMT),myogenesis,cholesterol homeostasis,oxidative phosphorylation and reactive oxygen pathways,while Vimentin,NDUF,VDAC1,PPP2CA and SNx9 were the most significant 5 node degree genes.Meanwhile,in vitro and in vivo results showed that the protein expression of PPP2CA and Vimentin,which are markers of EMT,were involved in breast cancer cell metastasis and could be reversed byβ-SDG.This work highlightsβ-SDG as a bioactive compound in sweet potato and the potential therapeutic effect ofβ-SDG for the treatment of breast cancer by inhibiting metastasis.

Various Organic Nutrient Sources in Combinations with Inorganic Fertilizers Influence the Yield and Quality of Sweet Corn(Zea mays L.saccharata)in New Alluvial Soils of West Bengal,India

Nutrient management plays a crucial role in the yield and quality of sweet corn.A field experiment was conducted in consecutive two kharif seasons in 2018 and 2019 to investigate the effect of various organic sources of nutrients in combination with inorganic sources on the yield and quality of sweet corn under new alluvial soils of West Bengal,India.Treatments were:T_(1):Control(without fertilizers);T_(2):100%recommended dose(RDF)of chemical fertilizers(CF)(RDF CF_(100%));T_(3):100%recommended dose of N(RDN)through vermicompost(VC)(RDN VC_(100%));T_(4):50 RDN through CF+50%RDN through VC(RDN CF_(50%)+RDN VC50%);T_(5):50%RDF through CF+50%RDN through organic source(OS)1,Soligro(Ascophyllum nodosum)granular(RDN CF_(50%)+RDN OS_(150%));T6:50%RDN through CF+50%RDN through OS 2,Bioenzyme(liquid)(RDN CF_(50%)+RDN OS250%);T7:50%RDN through CF+50%RDN through OS 3,Opteine(Ascophyllum nodosum)filtrate[RDN CF_(50%)+RDN OS350%];T8:50%RDN through VC+50%RDF through OS 1,Soligro(Ascophyllum nodosum)granular(RDN VC50%+RDN OS_(150%)).The OS of fertilizers were VC,SoliGro Gr(OS1)(Ascophyllum nodosum),Bioenzyme liquid(OS2),and Opteine(Ascophyllum nodosum)filtrate(OS3).The inorganic source was traditional CF applied at the RDF(150:75:75 kg ha^(−1) of N:P2O5:K2O).The VC was used to supply 100%RDN as one source or 50%RDN when combined with CF or OS.Maximum fruit yield(10.75 and 10.79 t ha^(−1) in 2018 and 2019,respectively)was recorded when RDF was substituted through CF only,being statistically at par with 50%CF+50%VC on a nitrogen equivalent basis(9.92 and 10.00 t ha^(−1) in 2018 and 2019,respectively)and 100%VC(8.22 and 8.32 t ha^(−1) in 2018 and 2019,respectively).Compared to chemical sources of nutrients,VC-based treatments produced a larger percentage of large-size cob(>25 cm).The 100%VC increased antioxidant(8.35 and 8.45 mg g^(−1)),carotenoid(0.59 and 0.61 mg/100 g),and phenol(55.06 and 55.02 mg 100 g^(−1))content compared with its 50%dose in combination with other sources.The study revealed the potentiality of organic sources towards achieving improved cob quality of sweet corn.

Metabolic profiles and morphological characteristics of leaf tips among different sweet potato(Ipomoea batatas Lam.)varieties

Sweet potato leaf tips have high nutritional value,and exploring the differences in the metabolic profiles of leaf tips among different sweet potato varieties can provide information to improve their qualities.In this study,a UPLC-Q-Exactive Orbitrap/MS-based untargeted metabolomics method was used to evaluate the metabolites in leaf tips of 32 sweet potato varieties.Three varieties with distinct overall metabolic profiles(A01,A02,and A03),two varieties with distinct profiles of phenolic acids(A20 and A18),and three varieties with distinct profiles of flavonoids(A05,A12,and A16)were identified.In addition,a total of 163 and 29 differentially expressed metabolites correlated with the color and leaf shape of sweet potato leaf tips,respectively,were identified through morphological characterization.Group comparison analysis of the phenotypic traits and a metabolite-phenotypic trait correlation analysis indicated that the color differences of sweet potato leaf tips were markedly associated with flavonoids.Also,the level of polyphenols was correlated with the leaf shape of sweet potato leaf tips,with lobed leaf types having higher levels of polyphenols than the entire leaf types.The findings on the metabolic profiles and differentially expressed metabolites associated with the morphology of sweet potato leaf tips can provide useful information for breeding sweet potato varieties with higher nutritional value.

Genome-Wide Discovery and Expression Profiling of the SWEET Sugar Transporter Gene Family in Woodland Strawberry (Fragaria vesca) under Developmental and Stress Conditions: Structural and Evolutionary Analysis

The SWEET(sugar will eventually be exported transporter)family proteins are a recently identified class of sugar transporters that are essential for various physiological processes.Although the functions of the SWEET proteins have been identified in a number of species,to date,there have been no reports of the functions of the SWEET genes in woodland strawberries(Fragaria vesca).In this study,we identified 15 genes that were highly homolo-gous to the A.thaliana AtSWEET genes and designated them as FvSWEET1–FvSWEET15.We then conducted a structural and evolutionary analysis of these 15 FvSWEET genes.The phylogenetic analysis enabled us to categor-ize the predicted 15 SWEET proteins into four distinct groups.We observed slight variations in the exon‒intron structures of these genes,while the motifs and domain structures remained highly conserved.Additionally,the developmental and biological stress expression profiles of the 15 FvSWEET genes were extracted and analyzed.Finally,WGCNA coexpression network analysis was run to search for possible interacting genes of FvSWEET genes.The results showed that the FvSWEET10 genes interacted with 20 other genes,playing roles in response to bacterial and fungal infections.The outcomes of this study provide insights into the further study of FvSWEET genes and may also aid in the functional characterization of the FvSWEET genes in woodland strawberries.