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Zachary B. Gossett

Bio: Zachary B. Gossett is an academic researcher from Texas A&M University. The author has contributed to research in topics: Genome & Genome evolution. The author has an hindex of 1, co-authored 2 publications receiving 6 citations.

Papers
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Journal ArticleDOI
TL;DR: A unified study identifies 21 and 33 conserved miRNA families across four Gossypium species and three tissue libraries, respectively and identifies most of the identified targets were regulated by mRNA cleavage than by translational repression.

9 citations

Book ChapterDOI
29 Apr 2021
TL;DR: This chapter introduces RNA-Seq and surveys its recent food and agriculture applications, ranging from differential gene expression, variants calling and detection, allele-specific expression, alternative splicing, alternative polyadenylation site usage, microRNA profiling, circular RNAs, single-cell RNA- Seq, metatranscriptomics, and systems biology.
Abstract: RNA sequencing (RNA-Seq) is the leading, routine, high-throughput, and cost-effective next-generation sequencing (NGS) approach for mapping and quantifying transcriptomes, and determining the transcriptional structure. The transcriptome is a complete collection of transcripts found in a cell or tissue or organism at a given time point or specific developmental or environmental or physiological condition. The emergence and evolution of RNA-Seq chemistries have changed the landscape and the pace of transcriptome research in life sciences over a decade. This chapter introduces RNA-Seq and surveys its recent food and agriculture applications, ranging from differential gene expression, variants calling and detection, allele-specific expression, alternative splicing, alternative polyadenylation site usage, microRNA profiling, circular RNAs, single-cell RNA-Seq, metatranscriptomics, and systems biology. A few popular RNA-Seq databases and analysis tools are also presented for each application. We began to witness the broader impacts of RNA-Seq in addressing complex biological questions in food and agriculture.

1 citations


Cited by
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13 Jan 2014
TL;DR: A complex correlated expression pattern of microRNA target genes with their controlling microRNAs indicates that possible functional divergence of conserved microRNA families can also exist even within a single plant genus.
Abstract: MicroRNAs are ubiquitous in plant genomes but vary greatly in their abundance within and conservation among plant lineages. To gain insight into the evolutionary birth/death dynamics of microRNA families, we sequenced small RNA and 5′-end PARE libraries generated from two closely related species of Gossypium. Here, we demonstrate that 33 microRNA families, with similar copy numbers and average evolutionary rates, are conserved in the two congeneric cottons. Analysis of the presence/absence of these microRNA families in other land plants sheds light on their depth of phylogenetic origin and lineage-specific loss/gain. Conserved microRNA families in Gossypium exhibit a striking interspecific asymmetry in expression, potentially connected to relative proximity to neighboring transposable elements. A complex correlated expression pattern of microRNA target genes with their controlling microRNAs indicates that possible functional divergence of conserved microRNA families can also exist even within a single plant genus.

38 citations

13 Jan 2014
TL;DR: The data provide an overview of miRNAs, their putative targets, and their network in cotton as well as comparative expression analyses between Gossypium hirsutum and G. barbadense to provide a foundation for understanding miRNA regulation during cotton fiber development.
Abstract: BackgroundMicroRNAs (miRNAs) are small, endogenously expressed, non-coding RNA molecules involved in gene transcription and expression that combine with specific mRNA site of target genes to inhibit protein synthesis or degrade mRNA. Since the first plant miRNA was reported in 2002, numerous new miRNAs and their targets have been discovered via high-throughput sequencing and computational approaches. However, the genetic variation of miRNA genes is poorly understood due to the lack of miRNA-specific DNA markers.ResultsTo study the genetic variation and map miRNAs and their putative target genes in cotton, we designed specific primers based on pre-miRNAs and published putative target genes. A total of 83 pre-miRNA primers and 1,255 putative target gene primers were surveyed, and 9 pre-miRNA polymorphic loci were mapped on 7 of the 26 tetraploid cotton chromosomes. Furthermore, 156 polymorphic loci of the target genes were mapped on the cotton genome. To map more miRNA loci, miRNA-based SRAP (sequence-related amplified polymorphism) markers were used to map an additional 54 polymorphic loci on the cotton genome with the exception of Chr01, Chr22, and Chr24. Finally, a network between miRNAs and their targets was constructed. All pre-miRNAs and 98 putative target genes were selected for RT-PCR analysis, revealing unique expression patterns across different fiber development stages between the mapping parents.ConclusionsOur data provide an overview of miRNAs, their putative targets, and their network in cotton as well as comparative expression analyses between Gossypium hirsutum and G. barbadense. These data provide a foundation for understanding miRNA regulation during cotton fiber development.

17 citations

Journal ArticleDOI
TL;DR: In this paper , a deep computational analysis of CRKs in five Gossypium species, including G. arboreum (60 genes), G. raimondii (74 genes), herbaceum (65 genes), g. hirsutum (118 genes), and G. barbadense (120 genes), was performed.
Abstract: Cysteine-rich receptor-like-kinases (CRKs), a transmembrane subfamily of receptor-like kinase, play crucial roles in plant adaptation. As such cotton is the major source of fiber for the textile industry, but environmental stresses are limiting its growth and production. Here, we have performed a deep computational analysis of CRKs in five Gossypium species, including G. arboreum (60 genes), G. raimondii (74 genes), G. herbaceum (65 genes), G. hirsutum (118 genes), and G. barbadense (120 genes). All identified CRKs were classified into 11 major classes and 43 subclasses with the finding of several novel CRK-associated domains including ALMT, FUSC_2, Cript, FYVE, and Pkinase. Of these, DUF26_DUF26_Pkinase_Tyr was common and had elevated expression under different biotic and abiotic stresses. Moreover, the 35 land plants comparison identified several new CRKs domain-architectures. Likewise, several SNPs and InDels were observed in CLCuD resistant G. hirsutum. The miRNA target side prediction and their expression profiling in different tissues predicted miR172 as a major CRK regulating miR. The expression profiling of CRKs identified multiple clusters with co-expression under certain stress conditions. The expression analysis under CLCuD highlighted the role of GhCRK057, GhCRK059, GhCRK058, and GhCRK081 in resistant accession. Overall, these results provided primary data for future potential functional analysis as well as a reference study for other agronomically important crops.

7 citations

Journal ArticleDOI
TL;DR: In this article, using the MirTarget program, the authors identified miRNAs capable of affecting the expression of GRAS (gibberellic acid insensitive, repressor of gai and scarecrow), ERF (ethylene responsive factor), C2H2 (cysteine and histidine residues in their secondary structures) TF genes of A. thaliana, O. sativa, and Z. mays.

7 citations

Book ChapterDOI
01 Jan 2020
TL;DR: This chapter highlights the basic biogenesis, various miRNAs, and their families controlling different heat-responsive signaling pathways along with strategies for crop improvement using mi RNAs.
Abstract: High environmental temperature is a major constraint that limits plant growth and yield worldwide. During abiotic stress, miRNAs act as significant regulatory factors by controlling gene expression. They do so either by suppressing mRNA translation or by direct cleavage/degradation of the target mRNAs. miRNAs regulate various gene networks and signaling pathways as well. These are also involved in plant developmental processes and abiotic/biotic stress responses. Recent high‐throughput sequencing automation and analysis have facilitated the investigation of the genetic basis of adaptability of plants to various abiotic stresses. This chapter highlights the basic biogenesis, various miRNAs, and their families controlling different heat-responsive signaling pathways along with strategies for crop improvement using miRNAs.

3 citations