The impacts of the COVID-19 pandemic on micro, small, and medium enterprises in Asia and their digitalization responses.

Soon after the outbreak of the COVID-19 pandemic, many governments began extending financial and other forms of support to micro, small, and medium enterprises (MSMEs) and their workers because smaller firms are more vulnerable to negative shocks to their supply chain, labor supply, and final demand for goods and services than larger firms. Since MSMEs are diverse, however, the severity of the pandemic's impact on them varies considerably depending on their characteristics. Using online survey data of MSMEs from eight developing economies in South, Southeast, and Northeast Asia, this paper attempts to deepen our understanding of the impact of the pandemic on MSMEs, especially their employment, sales revenue, and cash flow. It also characterizes those firms that began participating in online commerce and tries to determine how their use of online commerce and their employment are related in this difficult time. This paper also examines the government support that MSMEs have received and the extent to which it has satisfied their support needs.

Sequence-based SNP genotyping in durum wheat.

Marker development for marker-assisted selection in plant breeding is increasingly based on next-generation sequencing (NGS). However, marker development in crops with highly repetitive, complex genomes is still challenging. Here we applied sequence-based genotyping (SBG), which couples AFLP®-based complexity reduction to NGS, for de novo single nucleotide polymorphisms (SNP) marker discovery in and genotyping of a biparental durum wheat population. We identified 9983 putative SNPs in 6372 contigs between the two parents and used these SNPs for genotyping 91 recombinant inbred lines (RILs). Excluding redundant information from multiple SNPs per contig, 2606 (41%) markers were used for integration in a pre-existing framework map, resulting in the integration of 2365 markers over 2607 cM. Of the 2606 markers available for mapping, 91% were integrated in the pre-existing map, containing 708 SSRs, DArT markers, and SNPs from CRoPS technology, with a map-size increase of 492 cM (23%). These results demonstrate the high quality of the discovered SNP markers. With this methodology, it was possible to saturate the map at a final marker density of 0.8 cM/marker. Looking at the binned marker distribution (Figure 2), 63 of the 268 10-cM bins contained only SBG markers, showing that these markers are filling in gaps in the framework map. As to the markers that could not be used for mapping, the main reason was the low sequencing coverage used for genotyping. We conclude that SBG is a valuable tool for efficient, high-throughput and high-quality marker discovery and genotyping for complex genomes such as that of durum wheat.

Frameshift mutation hotspot identified in Smith-Magenis syndrome: case report and review of literature.

Smith-Magenis syndrome (SMS) is a complex syndrome involving intellectual disabilities, sleep disturbance, behavioural problems, and a variety of craniofacial, skeletal, and visceral anomalies. While the majority of SMS cases harbor an ~3.5 Mb common deletion on 17p11.2 that encompasses the retinoic acid induced-1 (RAI1) gene, some patients carry small intragenic deletions or point mutations in RAI1. We present data on two cases of Smith-Magenis syndrome with mutation of RAI1. Both cases are phenotypically consistent with SMS and RAI1 mutation but also have other anomalies not previously reported in SMS, including spontaneous pneumothoraces. These cases also illustrate variability in the SMS phenotype not previously shown for RAI1 mutation cases, including hearing loss, absence of self-abusive behaviours, and mild global delays. Sequencing of RAI1 revealed mutation of the same heptameric C-tract (CCCCCCC) in exon 3 in both cases (c.3103delC one case and and c.3103insC in the other), resulting in frameshift mutations. Of the seven reported frameshift mutations occurring in poly C-tracts in RAI1, four cases (~57%) occur at this heptameric C-tract. Collectively, these results indicate that this heptameric C-tract is a preferential hotspot for single nucleotide insertion/deletions (SNindels) and therefore, should be considered a primary target for analysis in patients suspected for mutations in RAI1. We expect that as more patients are sequenced for mutations in RAI1, the incidence of frameshift mutations in this hotspot will become more evident.

Diagnosing Smith-Magenis syndrome and duplication 17p11.2 syndrome by RAI1 gene copy number variation using quantitative real-time PCR.

Smith-Magenis syndrome (SMS) and duplication 17p11.2 (dup17p11.2) syndrome are multiple congenital anomalies/mental retardation disorders resulting from either a deletion or duplication of the 17p11.2 region, respectively. The retinoic acid induced 1 (RAI1) gene is the causative gene for SMS and is included in the 17p11.2 region of dup17p11.2 syndrome. Currently SMS and dup17p11.2 syndrome are diagnosed using a combination of clinically recognized phenotypes and molecular cytogenetic analyses such as fluorescent in situ hybridization (FISH). However, these methods have proven to be highly expensive, time consuming, and dependent upon the low resolving capabilities of the assay. To address the need for improved diagnostic methods for SMS and dup17p11.2 syndrome, we designed a quantitative real-time PCR (Q-PCR) assay that measures RAI1 copy number using the comparative C(t) method, DeltaDeltaC(t). We tested our assay with samples blinded to their previous SMS or dup17p11.2 syndrome status. In all cases, we were able to determine RAI1 copy number status and render a correct diagnosis accordingly. We validated these results by both FISH and multiplex ligation-dependent probe amplification (MLPA). We conclude that Q-PCR is an accurate, reproducible, low-cost, and reliable assay that can be employed for routine use in SMS and dup17p11.2 diagnosis.

Sequence-based genotyping for marker discovery and co-dominant scoring in germplasm and populations.

Conventional marker-based genotyping platforms are widely available, but not without their limitations. In this context, we developed Sequence-Based Genotyping (SBG), a technology for simultaneous marker discovery and co-dominant scoring, using next-generation sequencing. SBG offers users several advantages including a generic sample preparation method, a highly robust genome complexity reduction strategy to facilitate de novo marker discovery across entire genomes, and a uniform bioinformatics workflow strategy to achieve genotyping goals tailored to individual species, regardless of the availability of a reference sequence. The most distinguishing features of this technology are the ability to genotype any population structure, regardless whether parental data is included, and the ability to co-dominantly score SNP markers segregating in populations. To demonstrate the capabilities of SBG, we performed marker discovery and genotyping in Arabidopsis thaliana and lettuce, two plant species of diverse genetic complexity and backgrounds. Initially we obtained 1,409 SNPs for arabidopsis, and 5,583 SNPs for lettuce. Further filtering of the SNP dataset produced over 1,000 high quality SNP markers for each species. We obtained a genotyping rate of 201.2 genotypes/SNP and 58.3 genotypes/SNP for arabidopsis (n = 222 samples) and lettuce (n = 87 samples), respectively. Linkage mapping using these SNPs resulted in stable map configurations. We have therefore shown that the SBG approach presented provides users with the utmost flexibility in garnering high quality markers that can be directly used for genotyping and downstream applications. Until advances and costs will allow for routine whole-genome sequencing of populations, we expect that sequence-based genotyping technologies such as SBG will be essential for genotyping of model and non-model genomes alike.