Evidence map›Paper›PMID 41408161›Full record

ArticleBMC plant biology2025

Integrated phenotypic, nutritional, and SSR marker analyses reveal genetic diversity and guide germplasm utilization in bird's-foot trefoil.

Lili Zhao, Jieyi Zhou, Wenwu Zhao, Yang Wang, Puchang Wang

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lili ZhaoCollege of Animal Science, Guizhou University, Guiyang, 550025, China.
Jieyi ZhouCollege of Animal Science, Guizhou University, Guiyang, 550025, China.
Wenwu ZhaoCollege of Animal Science, Guizhou University, Guiyang, 550025, China.
Yang WangCollege of Animal Science, Guizhou University, Guiyang, 550025, China.
Puchang WangSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, China. wangpuchang@163.com.

Funding

Guizhou Provincial Science Technology Projects QKHPTRC-GCC[2022]022-1the National Natural Science Foundation of China 32260340, 32060391
6 · The paper itself

Abstract

Lotus corniculatus L. is a perennial legume valued for its roles in forage production, soil and water conservation, and landscaping. However, the limited number of improved cultivars hampers its broader utilization. In this study, we characterized the genetic variation of 23 accessions from diverse geographic origins using 12 quantitative traits and 29 simple sequence repeat (SSR) markers. Quantitative trait analysis revealed substantial variation across tested traits, and significant correlations were observed between nutritional quality and morphological traits, which suggests that phenotypic selection can indirectly enhance forage quality. Cluster analysis based on phenotypic and nutritional data grouped accessions into five categories, identifying key germplasm types with distinct breeding advantages, such as high crude protein and ether extract content (Q1), superior leaf morphology (Q2), and high total sugar content with thick stems (Q5). Genome-wide SSR mining identified a large number of loci, dominated by dinucleotide repeats. The 29 highly polymorphic SSR primers used exhibited strong polymorphism, and accession-level SSR-based clustering separated the accessions into three groups that broadly aligned with geographic origin. Analysis of molecular variance (AMOVA) indicated that most genetic variation resided within populations, underscoring the potential for intra-population selection. These findings establish a germplasm grouping basis that integrates phenotypic performance, nutritional quality, and genetic background. The results offer practical pointers for identifying complementary parental combinations, while emphasizing that multi-environment, multi-year validation and targeted crossing are required before generalization or breeding deployment.

Indexed as

Genetic VariationLotusMicrosatellite RepeatsAnimalsPhenotypeQuantitative Trait LociAccessionsGenetic diversityLotus corniculatus L.Phenotypic and nutritional traitsSSR markers

Identifiers

PMID41408161
PMCPMC12821279

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.