Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA.
Richard Gilder Graduate School, American Museum of Natural History, New York, NY, USA.
Mol Ecol Resour. 2020 Jan;20(1):14-28. doi: 10.1111/1755-0998.13091. Epub 2019 Dec 13.
Metatranscriptomics is a powerful method for studying the composition and function of complex microbial communities. The application of metatranscriptomics to multispecies parasite infections is of particular interest, as research on parasite evolution and diversification has been hampered by technical challenges to genome-scale DNA sequencing. In particular, blood parasites of vertebrates are abundant and diverse although they often occur at low infection intensities and exist as multispecies infections, rendering the isolation of genomic sequence data challenging. Here, we use birds and their diverse haemosporidian parasites to illustrate the potential for metatranscriptome sequencing to generate large quantities of genome-wide sequence data from multiple blood parasite species simultaneously. We used RNA-sequencing of 24 blood samples from songbirds in North America to show that metatranscriptomes can yield large proportions of haemosporidian protein-coding gene repertoires even when infections are of low intensity (<0.1% red blood cells infected) and consist of multiple parasite taxa. By bioinformatically separating host and parasite transcripts and assigning them to the haemosporidian genus of origin, we found that transcriptomes detected ~23% more total parasite infections across all samples than were identified using microscopy and DNA barcoding. For single-species infections, we obtained data for >1,300 loci from samples with as low as 0.03% parasitaemia, with the number of loci increasing with infection intensity. In total, we provide data for 1,502 single-copy orthologous loci from a phylogenetically diverse set of 33 haemosporidian mitochondrial lineages. The metatranscriptomic approach described here has the potential to accelerate ecological and evolutionary research on haemosporidians and other diverse parasites.
宏转录组学是研究复杂微生物群落组成和功能的强大方法。将宏转录组学应用于多物种寄生虫感染特别有趣,因为寄生虫进化和多样化的研究受到基因组规模 DNA 测序技术挑战的阻碍。特别是,脊椎动物的血液寄生虫数量丰富且多样,尽管它们通常感染强度较低,存在多物种感染,使得基因组序列数据的分离具有挑战性。在这里,我们使用鸟类及其多样的血孢子虫寄生虫来说明宏转录组测序从多种血液寄生虫物种同时产生大量全基因组序列数据的潜力。我们使用来自北美的鸣禽的 24 个血液样本的 RNA 测序,表明宏转录组即使在感染强度较低(<0.1%的红细胞被感染)且由多个寄生虫类群组成的情况下,也可以产生大量的血孢子虫蛋白编码基因库。通过生物信息学方法将宿主和寄生虫转录本分离并将其分配到血孢子虫属的起源,我们发现转录组在所有样本中检测到的寄生虫总感染数比使用显微镜和 DNA 条形码鉴定的要多 23%。对于单物种感染,我们从感染率低至 0.03%的样本中获得了超过 1300 个基因座的数据,随着感染强度的增加,基因座的数量也在增加。总的来说,我们提供了来自 33 个血孢子虫线粒体谱系的一个系统发育多样的数据集的 1502 个单拷贝直系同源基因座的数据。这里描述的宏转录组学方法有可能加速对血孢子虫和其他多样寄生虫的生态和进化研究。