So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

The majority of transcriptome sequencing (RNA-seq) expression studies in plants remain underutilized and inaccessible due to the use of disparate transcriptome references and the lack of skills and resources to analyze and visualize these data. We have developed expVIP, an expression visualization and integration platform, which allows easy analysis of RNA-seq data combined with an intuitive and interactive interface. Users can analyze public and user-specified data sets with minimal bioinformatics knowledge using the expVIP virtual machine. This generates a custom Web browser to visualize, sort, and filter the RNA-seq data and provides outputs for differential gene expression analysis. We demonstrate expVIP’s suitability for polyploid crops and evaluate its performance across a range of biologically relevant scenarios. To exemplify its use in crop research, we developed a flexible wheat (Triticum aestivum) expression browser (www.wheat-expression.com) that can be expanded with user-generated data in a local virtual machine environment. The open-access expVIP platform will facilitate the analysis of gene expression data from a wide variety of species by enabling the easy integration, visualization, and comparison of RNA-seq data across experiments.

/pdf/expvip-a-customizable-rna-seq-data-analysis-and-1hsos2gs1r.pdf

expVIP: a Customizable RNA-seq Data Analysis and Visualization Platform

The period from the late third millennium BC to the start of the first millennium AD witnesses the first steps towards food globalization in which a significant number of important crops and animals, independently domesticated within China, India, Africa and West Asia, traversed Central Asia greatly increasing Eurasian agricultural diversity. This paper utilizes an archaeobotanical database (AsCAD), to explore evidence for these crop translocations along southern and northern routes of interaction between east and west. To begin, crop translocations from the Near East across India and Central Asia are examined for wheat (Triticum aestivum) and barley (Hordeum vulgare) from the eighth to the second millennia BC when they reach China. The case of pulses and flax (Linum usitatissimum) that only complete this journey in Han times (206 BC–AD 220), often never fully adopted, is also addressed. The discussion then turns to the Chinese millets, Panicum miliaceum and Setaria italica, peaches (Amygdalus persica) and apricots (Armeniaca vulgaris), tracing their movement from the fifth millennium to the second millennium BC when the Panicum miliaceum reaches Europe and Setaria italica Northern India, with peaches and apricots present in Kashmir and Swat. Finally, the translocation of japonica rice from China to India that gave rise to indica rice is considered, possibly dating to the second millennium BC. The routes these crops travelled include those to the north via the Inner Asia Mountain Corridor, across Middle Asia, where there is good evidence for wheat, barley and the Chinese millets. The case for japonica rice, apricots and peaches is less clear, and the northern route is contrasted with that through northeast India, Tibet and west China. Not all these journeys were synchronous, and this paper highlights the selective long-distance transport of crops as an alternative to demic-diffusion of farmers with a defined crop package.

https://journals.sagepub.com/doi/pdf/10.1177/0959683616650268

Between China and South Asia: A Middle Asian corridor of crop dispersal and agricultural innovation in the Bronze Age.

A large and significant portion of eukaryotic transcriptomes consists of noncoding RNAs (ncRNAs) that have minimal or no protein-coding capacity but are functional. Diverse ncRNAs, including both small RNAs and long ncRNAs (lncRNAs), play essential regulatory roles in almost all biological processes by modulating gene expression at the transcriptional and posttranscriptional levels. In this review, we summarize the current knowledge of plant small RNAs and lncRNAs, with a focus on their biogenesis, modes of action, local and systemic movement, and functions at the nexus of plant development and environmental responses. The complex connections among small RNAs, lncRNAs, and small peptides in plants are also discussed, along with the challenges of identifying and investigating new classes of ncRNAs.

Plant Noncoding RNAs: Hidden Players in Development and Stress Responses.

Summary
The rapid development of omics sequencing technology has facilitated the identification of thousands of long non-coding (lnc)RNAs in plant species, but the role of lncRNAs in plant–pathogen interactions remains largely unexplored. We used comparative transcriptome analysis of Phytophthora infestans-resistant and -susceptible tomatoes to identify differentially expressed genes (DEGs) and lncRNAs (DELs), and examine lncRNA-mRNA networks. A total of 1037 DEGs and 688 DELs were identified between P. infestans-resistant and -susceptible tomatoes. The co-localization networks, including 128 DEGs and 127 DELs, were performed. We found that lncRNA16397 acted as an antisense transcript of SlGRX22 to regulate its expression, and also induced SlGRX21 expression when lncRNA16397 was overexpressed. In addition, disease symptoms and reactive oxygen species (ROS) accumulation in tomatoes overexpressing lncRNA16397 and SpGRX were fewer and lower than those in wild-type after P. infestans infection. This result suggests that tomato lncRNA16397 induces SlGRX expression to reduce ROS accumulation and alleviate cell membrane injury, resulting in enhanced resistance to P. infestans. Our results provide insight into lncRNAs involved in the response of tomato to P. infestans infection, demonstrate that the lncRNA16397-GRXs network is an important component of the P. infestans network in tomato, and provide candidates for breeding to enhance biotic stress-resistance in tomato.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.13408

Comparative transcriptome analysis between resistant and susceptible tomato allows the identification of lncRNA16397 conferring resistance to Phytophthora infestans by co-expressing glutaredoxin

Stripe rust (Puccinia striiformis f. sp. tritici; Pst) and powdery mildew (Blumeria graminis f. sp. tritici; Bgt) are important diseases of wheat (Triticum aestivum) worldwide. Similar mechanisms and gene transcripts are assumed to be involved in the host defense response because both pathogens are biotrophic fungi. The main objective of our study was to identify co-regulated mRNAs that show a change in expression pattern after inoculation with Pst or Bgt, and to identify mRNAs specific to the fungal stress response. The transcriptome of the hexaploid wheat line N9134 inoculated with the Chinese Pst race CYR 31 was compared with that of the same line inoculated with Bgt race E09 at 1, 2, and 3 days post-inoculation. Infection by Pst and Bgt affected transcription of 23.8% of all T. aestivum genes. Infection by Bgt triggered a more robust alteration in gene expression in N9134 compared with the response to Pst infection. An array of overlapping gene clusters with distinctive expression patterns provided insight into the regulatory differences in the responses to Bgt and Pst infection. The differentially expressed genes were grouped into seven enriched Kyoto Encyclopedia of Genes and Genomes pathways in Bgt-infected leaves and four pathways in Pst-infected leaves, while only two pathways overlapped. In the plant–pathogen interaction pathway, N9134 activated a higher number of genes and pathways in response to Bgt infection than in response to Pst invasion. Genomic analysis revealed that the wheat genome shared some microbial genetic fragments, which were specifically induced in response to Bgt and Pst infection. Taken together, our findings indicate that the responses of wheat N9134 to infection by Bgt and Pst shows differences in the pathways and genes activated. The mass sequence data for wheat–fungus interaction generated in this study provides a powerful platform for future functional and molecular research on wheat–fungus interactions.

/pdf/large-scale-transcriptome-comparison-reveals-distinct-gene-3tiiqfcjei.pdf

Large-scale transcriptome comparison reveals distinct gene activations in wheat responding to stripe rust and powdery mildew

Stripe rust (Puccinia striiformis f. sp. tritici; Pst) and powdery mildew (Blumeria graminis f. sp. tritici; Bgt) are important diseases of wheat (Triticum aestivum) worldwide. Increasingly evidences suggest that long intergenic ncRNAs (lincRNAs) are developmentally regulated and play important roles in development and stress responses of plants. However, identification of lincRNAs in wheat is still limited comparing with functional gene expression. The transcriptome of the hexaploid wheat line N9134 inoculated with the Chinese Pst race CYR31 and Bgt race E09 at 1, 2, and 3 days post-inoculation was recapitulated to detect the lincRNAs. Here, 283 differential expressed lincRNAs were identified from 58218 putative lincRNAs, which account for 31.2 % of transcriptome. Of which, 254 DE-LincRNAs responded to the Bgt stress, and 52 lincRNAs in Pst. Among them, 1328 SnRNP motifs (sm sites) were detected and showed RRU4–11RR sm site element and consensus RRU1–9VU1–7RR SnRNP motifs, where the total number of uridine was more than 3 but less than 11. Additionally, 101 DE-lincRNAs were predicted as targets of miRNA by psRNATarget, while 5 target mimics were identified using target mimicry search in TAPIR. Taken together, our findings indicate that the lincRNA of wheat responded to Bgt and Pst stress and played important roles in splicesome and inter-regulating with miRNA. The sm site of wheat showed a more complex construction than that in mammal and model plant. The mass sequence data generated in this study provide a cue for future functional and molecular research on wheat–fungus interactions.

/pdf/genome-wide-identification-and-functional-prediction-of-3idh7sk0en.pdf

Genome-wide identification and functional prediction of novel and fungi-responsive lincRNAs in Triticum aestivum

The non-protein-coding genes have been reported as a critical control role in the regulation of gene expression in abiotic stress. We previously identified four expressed sequence tags numbered S18 (EL773024), S73 (EL773035), S106 (EL773041) and S108 (EL773042) from a SSH-cDNA library of bread wheat Shaanmai 139 infected with Puccinia striiformis f. sp. tritici (Pst). Here, we isolated four cDNA clones and referred them as TalncRNA18, TalncRNA73, TalncRNA106 and TalncRNA108 (GenBank: KC549675-KC549678). These cDNA separately consisted of 1,393, 667, 449 and 647 nucleotides but without any open reading frame. The alignment result showed that TalncRNA18 is a partial cDNA of E3 ubiquitin-protein ligase UPL1-like gene, TalncRNA73 is an antisense transcript of hypothetical protein, TalncRNA108 is a homolog to RRNA intron-encoded homing endonuclease, and lncRNA106 had no similarly sequence. Quantitative RT-PCR studies confirmed that these four lncRNAs were differentially expressed in three near isogenic lines. TalncRNA108 was significantly stepwise decreased at early stage of inoculation with Pst, while the others were upregulated, especially at 1 and 3 dpi (days post-inoculation). Using Chinese Spring nulli-tetrasomic lines and its ditelosomic lines, TalncRNA73 and TalncRNA108 were located to wheat chromosome 7A and the short arm of chromosome 4B, respectively, while TalncRNA18 and TalncRNA106 were located to chromosome 5B. Comparing the sequence of DNA and cDNA of four lncRNAs with polymerase chain reaction primers, the results showed that all of them have no introns. The kinetics analyses of lncRNAs expression as a result of pathogen challenge in immune resistant genotype indicated that they may play the roles of modulating or silencing the protein-coding gene into pathogen-defence response.

Long non-coding genes implicated in response to stripe rust pathogen stress in wheat (Triticum aestivum L.)

The English grain aphid, Sitobion avenae (Fabricius), is one of the most important insect pests causing substantial yield losses in wheat production in China and other grain-growing areas in the world. The efficient utilization of wheat genes for resistance to English grain aphid (EGA) provides an efficient, economic and environmentally sound approach to reduce the yield losses. In the present study, the wheat line C273 (Triticum durum AABB, 2n = 4x = 28), is resistant to EGA in greenhouse and field tests. To identify the resistance gene, designated RA-1 temporarily, C273 was crossed with susceptible genotype Poland 305 (T. polonicum, AABB, 2n = 4x = 28). The F1, F2 and F2:3 lines were tested with EGA in the field and greenhouse. The results indicated that RA-1 is a single dominant gene, closely linked to the microsatellite markers (SSR) Xwmc179, Xwmc553 and Xwmc201 on chromosome 6AL at genetic distances of 3.47, 4.73 and 7.57 cM, respectively. The three SSR markers will be valuable in marker-assisted selection for resistance to EGA as well as for cloning this gene in the future.

Xinlun Liu

Papers

Large-scale transcriptome comparison reveals distinct gene activations in wheat responding to stripe rust and powdery mildew

Genome-wide identification and functional prediction of novel and fungi-responsive lincRNAs in Triticum aestivum

Long non-coding genes implicated in response to stripe rust pathogen stress in wheat (Triticum aestivum L.)

Molecular mapping of resistance gene to English grain aphid (Sitobion avenae F.) in Triticum durum wheat line C273

Transcriptome-wide alternative splicing modulation during plant-pathogen interactions in wheat