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			<titleStmt><title level='a'>From duplication to divergence: Single-cell insights into transcriptional and cis-regulatory landscapes in soybean</title></titleStmt>
			<publicationStmt>
				<publisher>American Society of Plant Biologists</publisher>
				<date>12/01/2025</date>
			</publicationStmt>
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				<bibl> 
					<idno type="par_id">10687878</idno>
					<idno type="doi">10.1093/plcell/koaf279</idno>
					<title level='j'>The Plant Cell</title>
<idno>1040-4651</idno>
<biblScope unit="volume">37</biblScope>
<biblScope unit="issue">12</biblScope>					

					<author>Xiang Li</author><author>Xuan Zhang</author><author>Robert J Schmitz</author>
				</bibl>
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			<abstract><ab><![CDATA[<title>Abstract</title> <p>Gene duplication is a major source of evolutionary innovation, enabling the emergence of novel expression patterns and functions. Leveraging single-cell genomics, we investigated the transcriptional and cis-regulatory landscapes of duplicated genes in cultivated soybean (Glycine max), which has undergone 2 rounds of whole-genome duplication. Our analysis revealed extensive diversity of transcriptional profiles within and across tissues among duplicated gene pairs. Within-tissue divergence was largely attributable to genetic variation in their associated accessible chromatin regions (ACRs), where cis-regulatory elements reside, whereas cross-tissue divergence was more likely shaped by dynamics in ACR chromatin accessibility profiles across tissues. Distinct duplication mechanisms also likely give rise to different types of cis-regulatory variants, contributing variably to transcriptional divergence. By comparing ACRs associated with gene sets derived from 2 rounds of whole-genome duplication and sharing a common ancestral gene, we found that most ACRs retained one or multiple corresponding duplicated sequences in which mutations gradually accumulated over time, while a subset likely arose de novo. Finally, we traced the evolution of cell-type-specific expression and cell-type-specific ACRs within duplicated gene sets, illustrating a powerful framework for identifying candidate regulatory regions driving cell-type-specific expression. Collectively, our findings highlight the important role of cis-regulatory evolution in shaping transcriptional divergence in a spatiotemporal manner, uncovered with the resolution of single-cell genomics.</p>]]></ab></abstract>
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