梨Trihelix转录因子家族成员鉴定及表达分析

Trihelix转录因子可以和光应答相关的GT元件结合,因此又称GT转录因子。本研究从梨基因组中鉴定出16个Trihelix家族基因,依次命名为PbGT1～PbGT16,从同属于蔷薇科的草莓和桃基因组中分别鉴定出11和16个Trihelix家族基因。染色体定位与基因复制事件分析表明,梨、草莓和桃Trihelix家族成员分别分布在12、6和8条染色体上,且梨Trihelix家族存在片段复制事件。种间系统进化树分析表明,梨、草莓和桃Trihelix家族成员分为6个亚族,梨家族成员(PbGT)属于GT-2、Subfamily O和SIP1亚族。结合进化关系及qRT-PCR验证,筛选出PbGT15可能参与调控梨果实石细胞团木质化。     

Comparison of heritabilities of dairy traits in Australian Holstein‐Friesian cattle from genomic and pedigree data and implications for genomic evaluations

The reliability of genomic evaluations depends on the proportion of genetic variation explained by the DNA markers. In this study, we have estimated the proportion of variance in daughter trait deviations (DTDs) of dairy bulls explained by 45 993 genome wide single‐nucleotide poly‐ morphism (SNP) markers for 29 traits in Australian Holstein‐Friesian dairy cattle. We compare these proportions to the proportion of variance in DTDs explained by the additive relationship matrix derived from the pedigree, as well as the sum of variance explained by both pedigree and marker information when these were fitted simultaneously. The propor‐ tion of genetic variance in DTDs relative to the total genetic variance (the total genetic variance explained by the genomic relationships and pedigree relationships when both were fitted simultaneously) varied from 32% for fertility to approximately 80% for milk yield traits. When fitting genomic and pedigree relationships simultaneously, the variance unexplained (i.e. the residual variance) in DTDs of the total variance for most traits was reduced compared to fitting either individually, suggesting that there is not complete overlap between the effects. The proportion of genetic variance accounted by the genomic relationships can be used to modify the blending equations used to calculate genomic estimated breeding value (GEBV) from direct genomic breeding value (DGV) and parent average. Our results, from a validation population of young dairy bulls with DTD, suggest that this modification can improve the reliability of GEBV by up to 5%.     

TILLING技术的原理、特点及其在点突变筛选中的应用

TILLING(TargetingInducedLocalLesionsINGenomes),是一种全新的反向遗传学研究方法,它提供了一种高通量、低成本规模化高效筛选化学诱变剂EMS诱发产生点突变的技术。本文简要介绍了TILLING的原理和技术优势,并对其在植物功能基因组学、突变分子育种和预测突变频率中的应用作了初步探讨。     

Pseudomonas stutzeri|A1501基因组结构及功能注释

采用全基因组“shotgun”方法完成了固氮斯氏假单胞菌A1501的全基因组序列测定,并进行了基因组结构与功能注释分析。A1501基因组全长4 567 418 bp,含有4 146个ORFs。该基因组中已鉴定了42个编码转座酶的重复序列,这些序列的存在预示着转座现象在A1501菌中非常活跃,预示该菌与其他生物之间基因交流可能比较频繁。比较基因组表明,为了适应特定的生存环境,假单胞菌在基因组结构和遗传信息容量上产生了明显的分化。此外,基因组分析鉴定了A1501环境适应的遗传基础,包括物质转运、信号传导和趋化系统等,这些系统是细菌能够在根际土壤环境中保持竞争力以及能够与水稻形成高效联合固氮体系的关键。A1501基因组的完成为进一步开展功能基因组学和蛋白质组学研究奠定了基础。     

生防菌株Bacillus velezensis Z全基因组测序分析

生防菌株Bacillus velezensis Z对胡椒瘟病等多种植物病害具有良好的生防效果;全基因组测序能够为其分子机理研究和开发应用提供信息基础。本研究开展该菌株全基因组测序,并进行比较基因组学和抑菌次生代谢产物合成基因簇预测研究。结果表明:B.velezensisZ菌株的基因组中含有1条4054780bp大小的环形染色体DNA和1个17 122 bp大小的环形质粒,总基因组的GC含量为46.24%,共编码基因4173个;包含27个rRNA,86个tRNA基因,34个sRNA;含有串联重复序列179个,其中13个微卫星DNA,138个小卫星DNA;通过比较基因组学分析,结果发现该菌株与贝莱斯芽孢杆菌模式菌株FZB42同源性极高,与枯草芽孢杆菌模式菌株168之间具有一定的遗传距离;同时发现B. velezensis Z基因组中共编码次生代谢产物合成基因簇13个,其中8个与表面活性素(surfactin)、泛革素(fengycin)、溶杆菌素(bacilysin)、macrolactinH、bacillaene、difficidin、plantazolicin、amylocyclici...     

深度学习在植物基因组学与作物育种中的应用现状与展望

[目的 /意义]随着单细胞测序、高通量技术的突破,植物基因组学也取得了巨大进步,可以低成本获取多维全基因组分子表型的海量数据。深度学习技术可以作为强大的数据挖掘工具对获取的分子表型进行进一步预测和解释。当前研究表明,深度学习在植物基因组学与作物育种研究任务中取得显著效果。但目前尚缺乏对于深度学习在植物基因组学中应用的完整综述。[方法 /过程]本文首先概述了深度学习方法背景,包括最新的图神经网络;随后着重从基因特性、蛋白质特性方面综述了基因组学和深度学习交叉领域的两个突出问题：1）如何对从植物基因组DNA序列到分子表型的信息流进行建模？2）如何使用深度学习模型识别自然种群中的功能变异？[结果 /结论]本文总结了当前研究中如何应用传统深度学习算法、图深度学习、生成对抗网络以及可解释性AI等方法解决上述两个问题。最后分析了深度学习在未来植物基因组学研究和作物遗传改良中的发展前景。     

Leading the pack: Best practices in comparative canine cancer genomics to inform human oncology

Pet dogs develop spontaneous cancers at a rate estimated to be five times higher than that of humans, providing a unique opportunity to study disease biology and evaluate novel therapeutic strategies in a model system that possesses an intact immune system and mirrors key aspects of human cancer biology. Despite decades of interest, effective utilization of pet dog cancers has been hindered by a limited repertoire of necessary cellular and molecular reagents for both in vitro and in vivo studies, as well as a dearth of information regarding the genomic landscape of these cancers. Recently, many of these critical gaps have been addressed through the generation of a highly annotated canine reference genome, the creation of several tools necessary for multi-omic analysis of canine tumours, and the development of a centralized repository for key genomic and associated clinical information from canine cancer patients, the Integrated Canine Data Commons. Together, these advances have catalysed multidisciplinary efforts designed to integrate the study of pet dog cancers more effectively into the translational continuum, with the ultimate goal of improving human outcomes. The current review summarizes this recent progress and provides a guide to resources and tools available for comparative study of pet dog cancers.     

Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean

“Breeding by Design” as a concept described by Peleman and van der Voort aims to bring together superior alleles for all genes of agronomic importance from potential genetic resources. This might be achievable through high-resolution allele detection based on precise QTL (quantitative trait locus/loci) mapping of potential parental resources. The present paper reviews the works at the Chinese National Center for Soybean Improvement (NCSI) on exploration of QTL and their superior alleles of agronomic traits for genetic dissection of germplasm resources in soybeans towards practicing “Breeding by Design”. Among the major germplasm resources, i.e. released commercial cultivar (RC), farmers’ landrace (LR) and annual wild soybean accession (WS), the RC was recognized as the primary potential adapted parental sources, with a great number of new alleles (45.9%) having emerged and accumulated during the 90 years’ scientific breeding processes. A mapping strategy, i.e. a full model procedure (including additive (A), epistasis (AA), A × environment (E) and AA × E effects), scanning with QTLNetwork2.0 and followed by verification with other procedures, was suggested and used for the experimental data when the underlying genetic model was usually unknown. In total, 110 data sets of 81 agronomically important traits were analyzed for their QTL, with 14.5% of the data sets showing major QTL (contribution rate more than 10.0% for each QTL), 55.5% showing a few major QTL but more small QTL, and 30.0% having only small QTL. In addition to the detected QTL, the collective unmapped minor QTL sometimes accounted for more than 50% of the genetic variation in a number of traits. Integrated with linkage mapping, association mappings were conducted on germplasm populations and validated to be able to provide complete information on multiple QTL and their multiple alleles. Accordingly, the QTL and their alleles of agronomic traits for large samples of RC, LR and WS were identified and then the QTL-allele matrices were established. Based on which the parental materials can be chosen for complementary recombination among loci and alleles to make the crossing plans genetically optimized. This approach has provided a way towards breeding by design, but the accuracy will depend on the precision of the loci and allele matrices.     

林木遗传育种基础研究热点述评

林木由于世代周期长、个体高大、遗传负荷高等自身固有的一些特性,一直被认为是一种非常难以操作的遗传学材料,导致林木遗传育种在基础研究方面远远滞后于模式动、植物和其他重要作物,成为限制林木遗传改良进程的主要因素。分子育种是突破林木育种周期长的关键技术,通过基因组学研究,分析和阐明林木基因的功能是进行林木分子育种设计的前提。近年来随着生命科学领域新技术的快速发展,林木遗传育种基础研究也出现一些新的热点。本文主要阐述林木基因组和功能基因组学、连锁与关联分析、木材形成机制及分子育种技术的研究进展,虽然目前相关研究成果实际应用的条件还不成熟,但作为技术储备是急需加强的研究方向。