大豆花药优势表达基因GmFLA22a调控雄性育性的功能研究

我国大豆对外依赖度高,加速提高大豆产量是目前亟需解决的问题。利用杂种优势是大幅提高作物产量的有效途径之一,近年来基于隐性核不育基因开发的智能雄性不育系统,为快速利用大豆杂种优势提供了可能。但是,大豆雄性不育基因研究相对滞后。本研究基于课题组大豆花器官转录组数据,筛选到在大豆早期花药中优势表达基因GmFLA22a,编码含有FAS1结构域的成束状阿拉伯半乳糖蛋白,亚细胞定位表明其可能在内质网中发挥功能。利用基因编辑技术获得Gmfla22a突变体,突变体植株在营养生长阶段与对照组相比没有明显差异,但在生殖生长阶段表现为结实率显著降低。Gmfla22a突变体花粉活力和花粉萌发率均无明显异常,组织切片并染色观察发现,突变体植株花药室壁增厚,花粉粒释放延迟、不完全,这可能是导致Gmfla22a结实率降低的原因。综上,本研究初步揭示GmFLA22a可能参与调控大豆雄性育性,为深入揭示其分子功能提供重要遗传材料,同时为大豆杂种优势利用提供基因资源和理论依据。

Study on the Career Development of Young Teachers in Vocational Colleges

The quality of the teaching staff is crucial to the development of vocational education.Skilled and knowledgeable teachers can provide students with specialized technical knowledge and practical skills.In addition to teaching,teachers also act as mentors in providing guidance and support in all areas to students.However,the development of young teachers faces many problems,such as unclear career plans and a lack of attention to operational skills.This paper analyzes the research findings of past scholars and uses a questionnaire to analyze the problems faced by young teachers in their career development.Based on this,this paper puts forward some targeted suggestions,which can provide guidelines for the career development of young teachers.

IESRL:An information extraction system for research level

Purpose:In order to annotate the semantic information and extract the research level information of research papers,we attempt to seek a method to develop an information extraction system.Design/methodology/approach:Semantic dictionary and conditional random field model(CRFM)were used to annotate the semantic information of research papers.Based on the annotation results,the research level information was extracted through regular expression.All the functions were implemented on Sybase platform.Findings:According to the result of our experiment in carbon nanotube research,the precision and recall rates reached 65.13%and 57.75%,respectively after the semantic properties of word class have been labeled,and F-measure increased dramatically from less than 50%to60.18%while added with semantic features.Our experiment also showed that the information extraction system for research level(IESRL)can extract performance indicators from research papers rapidly and effectively.Research limitations:Some text information,such as that of format and chart,might have been lost due to the extraction processing of text format from PDF to TXT files.Semantic labeling on sentences could be insufficient due to the rich meaning of lexicons in the semantic dictionary.Research implications:The established system can help researchers rapidly compare the level of different research papers and find out their implicit innovation values.It could also be used as an auxiliary tool for analyzing research levels of various research institutions.Originality/value:In this work,we have successfully established an information extraction system for research papers by a revised semantic annotation method based on CRFM and the semantic dictionary.Our system can analyze the information extraction problem from two levels,i.e.from the sentence level and noun(phrase)level of research papers.Compared with the extraction method based on knowledge engineering and that on machine learning,our system shows advantages of the both.

The immunoregulatory role of fish specific type Ⅱ SOCS via inhibiting metaflammation in the gut-liver axis

SOCS8,also known as CISHb,is a fish-specific type Ⅱ SOCS.Because CISH binds to cytokine receptors and may inhibit STAT5 activation(a substrate of the insulin receptor),SOCS8 may be involved in the control of metaflammation.The socs8-/-zebrafish were created,and both longer trunks and intestinal villi were observed in 1-month-old(mo)fish.Altered mucosal immunity and gut-liver metabolism were also found in socs8-/-fish.Increased intestinal neutrophils and macrophages,together with overexpression of cytokines and T cell markers in this mutant fish,suggested SOCS8's immunoregulating role.During modeling of soybean-induced enteritis using the 3 mo zebrafish,lower expression levels of inflammatory genes but more mucosa barrier disruption were discovered in socs8-/-zebrafish,compared with wide type counterparts.Furthermore,the shrunk villi at 6 mo in socs8-/-fish suggested that the mucosa might have been protected by SOCS8.This is also consistent with the assertion that metaflammation eventually leads to tissue degeneration and premature death.The fact that socs8-/-fish had more hepatic oil droplets compared to their wild-type counterparts suggested SOCS8's role in inhibiting hepatic metaflammation.Transcriptomic analysis as well as 16S rRNA gene sequencing were done on 3 mo socs8-/-fish to methodically reveal the altered immunity and metabolic reprogramming in the gut and liver caused by socs8-/-.The enriched GO terms for the intestinal tract,such as"cytokine-mediated signaling pathway"and"response to external biotic stimulus",as well as KEGG pathways in both gut and liver like"carbon metabolism"and"glycolysis/gluconeogenesis",were consistent with previously revealed pathological clues and improved growth performance at early age,respectively.In addition,the microbiota in the socs8-/-strain had adapted to the host's increased carbohydrate metabolism,as evidenced by higher levels of Bacteroidota.Furthermore,Verrucomicrobiota associated with immunoregulation were found in lower abundance in socs8-/-fish.As a result,current findings indicate that SOCS8 plays immunoregulatory and mucosa-protective roles in the fish gut and liver by inhibiting carbohydrate metabolism.

Plantar ROI Characterization during the Stance Phase of Gait Based on a Low-cost Pressure Acquisition Platform

Plantar Region of Interest （ROI） detection is important for the early diagnosis and treatment ofmorphologic defects of the foot and foot bionic research. Conventional methods have employed complex procedures and expensive instruments which prohibit their widespread use in healthcare. In this paper an automatic plantar ROIs detection method using a customized low-cost pressure acquisition device is proposed. Plantar pressure data and 3D motion capture data were collected from 28 subjects （14 healthy subjects and 14 subjects with hallux valgus）. The maximal inter-frame difference during the stance phase was calculated. Consequently, the ROIs were defined by the first-order difference in combination with prior anatomic knowl- edge. The anatomic locations were determined by the maximal inter-frame difference and second maximal inter-frame differ- ence, which nearly coincided. Our system can achieve average recognition accuracies of 92.90%, 89.30%, 89.30%, 92.90%, 92.90%, and 89.30% for plantar ROIs hallux and metatarsi I-V, respectively, as compared with the annotations using the 3D motion capture system. The maximal difference of metatarsus heads II-V, and the impulse of the medial and lateral heel features made a significant contribution to the classification ofhallux valgus and healthy subjects with ≥ 80% sensitivity and specificity. Furthermore, the plantar pressure acquisition system is portable and convenient to use, thus can be used in home- or commu- nity-based healthcare applications.